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Join VENU's Live Investor Webinar: Redefining Live Entertainment Through Premium Venues and a Capital-Efficient Growth Strategy
Learn how VENU is developing a nationwide portfolio of multi-seasonal, multi-configuration, omni-content premium amphitheaters in underserved, high-growth markets
Sheba sells ARC innovation arm to Redesign Health in deal valued at tens of millions of dollars
The deal transfers management of ARC’s global network and the rights to establish new hospital innovation centers to the U.S. healthcare venture builder, while Sheba retains its stakes in portfolio companies.
Risant Health to acquire Integris Health
Integris would join Geisinger Health and Cone Health in Risant's portfolio.
Woodside Health adds Phoenix-area medical office building to its portfolio
Healthcare real estate firm purchases Grand Professional Plaza in Surprise, Arizona
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
ChartHop expands organizational intelligence beyond HR data, connecting the business to the people who run it
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Primary Health Properties and GIC form £700 million healthcare joint venture
Partnership seeded by PHP's existing UK and Ireland hospital portfolio
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Science and Medicine Group (SMG) Names Jasen Holness Senior Vice President, Sales and Marketing to Accelerate Customer Growth
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SACE’s $31 billion US portfolio underscores the strength of Italy-US business ties
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Trump increased investments in drugmakers that benefited from Medicare exemptions, Democrats say
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Fund Update: 208,165 $IVV shares added to Japan Science & Technology Agency portfolio
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IBM ties intelligent operations to agent safety and business value
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Digital Brands Group Expands Sports and Entertainment Partnerships, Names Todd Kucinski Vice President of Strategic Partnerships for Sports and Entertainment
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TreasurUp and Apideck Partner to Accelerate ERP-Embedded Banking for Business Banks
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Gibraltar to Sell Infrastructure Business to Saint-Gobain for $208 Million
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Varela Joins Republic Business Credit as Senior Vice President, Account Executive
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AFP.com
Reply[EXM, STAR: REY] introduces Symbiosis , anAI-driven operating modeldesigned for enterprises integrating generative AI and agentic systems into their operating processes. Supported by adedicated platform, Symbiosisconnects strategy, portfolio management and execution, helping organisations align priorities...
AAPS names Patrick Sinko chief science officer
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US grocer Albertsons suspends full-year forecasts amid business review
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Mesa School of Business raises ₹110 crore to expand its portfolio of programmes for the AI era
Mesa School of Business has raised ₹110 crore, comprising ~₹85 crore in Series A equity funding co-led by Dharana Capital and existing investor Elevation Capital, and ₹25 crore in venture debt from InnoVen Capital and Alteria Capital. New capital will be used to invest in AI-first curriculum for existing programs, launch & grow new programs and build strategic partnerships with the startup ecosystem.
‘Who Would Watch That?’ — Sports Media Analyst Not Sold on ESPN’s Super Bowl Alt-Casts Featuring Pat McAfee, Peyton Manning
Pat McAfee’s role with ESPN has only increased since the company decided to go all-in on the former Indianapolis Colts punter. But the most recent addition to his portfolio hasn’t gone over too well with fans and others in the media.
Marsh survey examines how health systems are managing capital, investment strategies
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Steris to acquire Pittsburgh-area medical device maker for $2.1 billion
The Xodus Medical acquisition would add a growing surgical safety business to Steris' portfolio, with the deal expected to close by the end of the year.
Lionel Messi is building a business empire that will outlast his football career
From his Inter Miami compensation package to hotel investments, venture capital and football club ownership, Messi is turning his sporting success into a diversified portfolio.
What will Skydance do with the industry’s most complex sports rights portfolio?
With the Paramount and Warner Bros. Discovery merger now complete, forming Skydance, many in the sports media world are watching and wondering what happens to the combined entity’s sports rights. Certainly, this seems like a good time to examine what the folks at Skydance Global Sports Group (now to be called SGSG forevermore) are, and…
OAK Global launches multi-class MGA capacity unit at Lloyd’s
OAK Partnerships will write property, specialty, credit and casualty portfolios through Syndicate 1440 from 2027
In fiscal 2026, customers bought 466 vehicle energy storage systems from Scage.
Six-month orders carried about RMB 26.86 million in contract value; certain Nasdaq requirements remain unmet, with one compliance period running to Feb. 23, 2027.
STAAR Surgical Appoints Andrew Pilon, OD, as Vice President of Business Development
LAKE FOREST, Calif.—STAAR Surgical Co. (NASDAQ: STAA), a leader in phakic intraocular lenses (IOLs) with its EVO family of Implantable Collamer Lenses (EVO ICL), has appointed Andrew Pilon, OD, as vice president of business development, which is a new position, the company told VMAIL. Dr. Pilon will report to Warren Foust, STAAR’s president and CEO, and work closely with the company’s senior leadership team to capitalize on opportunities that support STAAR’s innovation strategy and expand its product portfolio, according to the announcement from the company.
Procter & Gamble: A Business To Hold Forever
Procter & Gamble remains a Hold, serving as a stable, conservative portfolio anchor despite recent underperformance. Read more on PG stock here.
Inside Broward County’s battle for health care real estate
Broward County’s health care giants are racing to snap up real estate, competing for space amid rapid population growth and development. The county’s health care map, long dominated by a neatly defined duopoly between taxpayer funded hospital districts Broward Health and Memorial Healthcare System, is changing as an outpatient construction boom floods the market with new facilities and health care systems look beyond traditional medical real estate to expand their portfolios. But with prime development sites growing scarce, the county has emerged as a medical development battleground, with systems jockeying for land, market share and the opportunity to redraw the […]
Corteva (CTVA) Completes Seed Business Spin Off
Corteva (NYSE:CTVA) has completed the spin-off of its seed operations into a separate entity called Vylor Inc. The split leaves Corteva focused on crop protection products and digital agriculture services, while Vylor assumes the seed portfolio. Legal challenges have emerged that question how PFAS-related obligations are allocated between Corteva and Vylor after the separation. The Vylor spin-off and PFAS liability scrutiny only capture one chapter in the wider Corteva story for investors...
Arjuna Natural to spotlight women’s health innovation and Ashwagandha Quality at SupplySide Global
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SouthStar Capital Appoints Stark as Senior Portfolio Manager and Norris as Senior Business Development Officer
SouthStar Capital appointed Sally J. Stark as portfolio manager and Scott Norris as senior business development officer. These role changes bring decades of
Time capsule: Hardwood, softwood, fuelwood
Note: After finally cleaning my stovepipe last weekend, it feels like woodstove season at my cabin can officially (and safely) begin.
Lodging Dynamics names new SVP of business development
Hotel management company Lodging Dynamics has appointed Danny Dolce senior vice president of business development. | Danny Dolce will lead the expansion of Lodging Dynamics’ third-party management portfolio, focusing on luxury, premium-branded and full-service hotels in destination-driven markets.
Broker facilities expand as technology, alternative capital reshape placements
Broker facilities that automatically or rapidly provide following capacity are expanding as brokers seek to speed placements, use data to package portfolios of risks and tap additional sources of…
ConocoPhillips Reviews Norway Business & UK Teesside Asset Divestment
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PARAMOUNT COMPLETES ACQUISITION OF WARNER BROS. DISCOVERY, CREATING A NEW GLOBAL ENTERTAINMENT LEADER, SKYDANCE
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CBS Sports Chief David Berson To Expand Portfolio As TNT Sports Chief Luis Silberwasser Exits
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Did New Science Board Just Shift BioCryst's (BCRX) Investment Narrative?
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Darling completes sale of sausage casings business to SARIA
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GloRilla expands her business brand with 'glam on demand' GloVerse
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Prisma doubles down on Urgent Care while Novant pivots to virtual visits
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VB Health Launches Public Seven-Part Supplement Quality Standard
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Top Stories: Apple Smart Home Launch on October 13, iPhone Duo Production Issues, and More
Things are getting crazy in the Apple rumor world, as even though the iPhone 18 Pro and several other products have only just launched and the iPhone Duo is right around the corner, there's even more to come imminently. October 13 looks to be the date for an introduction of Apple's revamped smart home portfolio, including the home hub device we've been hearing about for ages.
Florida Blue Foundation now accepting grant applications for maternal health initiatives
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SpyGlass Pharma Acquires Advanced Vision Science, Securing Commercial IOL Supply, Accelerating Lens Portfolio Expansion
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Cosmos Health's Brands Reach More Than 40 Countries Across Europe, the Middle East, North America and Asia, Addressing Global Markets Estimated at Approximately $946 Billion
The portfolio comprises more than 15 proprietary brands and product lines and 10 branded generics across five product categories, sold in more than 40 countries through pharmacies, hospitals, retail chains and e-commerce. It is manufactured at GMP-certified facilities in Europe and the United States and supported by the Company's services in contract manufacturing, pharmaceutical distribution, telehealth and research and development.
Auro Hotels takes over management of Hyatt Place Greenville Downtown
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Cascadia Healthcare Expanding Oregon Footprint With Acquisition of Sapphire Health’s Nursing Home Portfolio
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September 28, 2026 – 7.45 AM CET Regulated information – Contains inside information EFI and Agfa’s DPS Business to Combine and Form a Global, Full-Service Industrial Inkjet Company Combination to Create a Broader, More Diversified Business with a Comprehensive Product Portfolio, Expanded Geographic Reach and Enhanced Capabilities to Serve Customers Across Key End Markets Mortsel, Belgium and Londonderry, N.H. – September 28, 2026 – 7.45 a.m. CET Electronics for Imaging, Inc. (“EFI”), a leading
Canadian doctor cracks the ‘science of a healthy, happy retirement’ — and anyone can do it
While you might be focused on your financial portfolio, don’t forget to make contributions to your ‘life’ portfolio.
How financial advisors keep doomers from blowing up their portfolios
We're in a golden age for apocalyptic thinking, but that doesn't mean you should invest like we're near the end.
Canadian doctor cracks the ‘science of a healthy, happy retirement’ — and anyone can do it
While you might be focused on your financial portfolio, don’t forget to make contributions to your ‘life’ portfolio.
Afognak takes majority stake in Alaska trucking, fuel companies
Afognak Native Corporation acquired a majority stake in three Alaska trucking and fuel companies, expanding its commercial portfolio.
Intel Panther Lake Teardown, 18A, BSPD, GAAFET, SemiAnalysis STEEL
Panther Lake debuts the first commercial implementation of backside power delivery (BSPDN), introduces Intel’s first iteration of gate-all-around (GAA) transistors, and showcases their advanced packaging capabilities with its Foveros-S assembly. With Panther Lake, Intel’s manufacturing arc has shifted from nebulous roadmaps to shipped silicon, a significant milestone on their long road back to competitive semiconductor manufacturing. To evaluate the extent of Intel’s comeback, we tore down Panther Lake. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Our teardown traces 18A from its four-sheet RibbonFETs (Intel’s marketing name for GAAFETs) and gate stacks through contacts, frontside and backside wiring, and the bonded carrier. We explain how these material and integration choices improve gate control and reduce resistance, while adding capacitance, thermal resistance, and process complexity. Our measurements put Panther Lake’s 18A compute logic and TSMC N3E GPU logic at similar logic density. However, 18A does not lead TSMC N3P, N2 or Samsung SF2 in peak density. Panther Lake’s CPU cores are incremental updates, and the high-end GPU still uses TSMC N3E. Panther Lake assembles one compute tile, one GPU tile, and one I/O tile atop a passive base tile using Intel’s Foveros-S advanced packaging. Both compute tile variants use Intel 18A. The Xe3 GPU options are a 4-core GT1 tile on Intel 3 and a larger 12-core GT2 tile on TSMC N3E. Both I/O tile variants use TSMC N6. [1], [2] Our analysis centers on the PTL-U compute tile, both the 4-core and 12-core GPU tiles, as well as the 12-lane I/O tile. In conventional chips, power and signal are routed through the same frontside metal stack towards the device frontend. Power rails consume scarce routing resources near the transistors, while tall via stacks carry VDD and VSS from the coarse upper wires to local rails. Backside power delivery (BSPD) moves the main power network behind the transistor layer, to the backside, separating it from frontside signal routing. We covered BSPD and its impacts in 2024. [3], [4], [5] Intel’s BSPD implementation, branded as “PowerVia”, routes power through dedicated backside metals to nano-TSVs, which connect those rails to local source/drain (S/D) contacts. Implementing that separation requires Intel to build the interconnect stacks from both sides of the wafer. The frontside comprises the M0-M14 signal stack, while the backside comprises the BM0-BM5 power stack. M0 and BM0 are closest to the transistors. The nano-TSVs connect the two sides, but Intel patterns and etches each via from the front after forming the contacts. A narrow via runs from the side of the contact deep into the silicon substrate. Intel then completes the frontside signal metal stack, bonds the wafer to a carrier, flips it and removes the original substrate until the buried via tips are exposed. The backside metal stack is then deposited directly on the revealed vias. The nano-TSV and backside-via profiles taper in opposite directions because Intel forms them from opposite sides of the wafer. The transistor structures form the FEOL. Local contacts and nano-TSVs connect them to the wiring. M0 begins the frontside interconnect stack. The silicon carrier remains attached above the frontside interconnects. It supports the device wafer during substrate removal and backside processing and remains part of the finished chip’s thermal path. PowerVia removes the main power distribution from the congested frontside metals, routing supply through shorter and wider backside wires. Its lateral landing still occupies area in the standard cell, so it recovers less cell area than a direct backside contact. [3] Nano-TSVs beside the logic devices carry VDD or VSS from the backside power network, while signal connections continue upward through the frontside metals. Backside Interconnects Samsung SF2 data is included for comparison to Panther Lake’s within this article. SF2 is the incumbent GAA foundry node but lacks BSPD, serving as a useful reference to evaluate 18A. A full teardown of Samsung’s S26 products, processed on SF2, will be shared soon.Nanosheet-cut EDS comparison. The PowerVia supply path runs from the backside Cu rails through Mo-lined W nano-TSVs to the local transistor contacts. In this cross section, the tapered connection spans roughly 150 nm from the contact level to BM0. The Ta liner confines Cu and promotes adhesion to the surrounding stack; the AlOₓ etch stop controls the next dielectric etch above the rail. Dielectric beneath the ribbons electrically separates the devices from the backside wiring and removes the conducting silicon body below the channel. [6] AlOₓ serves as an etchstop (ES), enabling endpointing and protecting the underlying layers. Low-volatility aluminum fluoride reaction products resist the fluorinated plasma, allowing a thin AlOₓ film to protect the metal while the surrounding low-k dielectric is removed. [6], [7]. While the BM0 and layers above the M1 lines show double AlOx layers, Our SMIC N+3 teardown showed single AlOₓ layers. SMIC uses a simpler local AlOₓ substack, while the remaining cap and etch sequence provide the required landing protection. So why double layers? The closely spaced AlOₓ doublets provide two protected endpoints in the etch sequence. Intel documents an AlOₓ/SiN/AlOₓ stack that explains the benefit. The main dielectric plasma etch stops on the first AlOₓ film; a selective wet clear opens that film; a second plasma etch removes the intermediate SiN and stops on the second AlOₓ film. The final wet clear exposes the metal landing surface. SiN is the intermediate dielectric in Intel’s published example. [8] The second stop protects the metal through a cap breakthrough. Wide openings can etch faster than narrow ones, and etch depth varies across the wafer. Metal under an early-clearing opening would otherwise be exposed while other openings still need more etching. Staged protection widens the process window and reduces metal erosion, corrosion and void formation. [8] TSMC documents AlN/AlOₓ/SiOC/AlOₓ above Cu, with AlN blocking Cu diffusion, and a simpler AlN/SiOC/AlOₓ variant that omits one AlOx film. [9] Levels with different opening sizes, aspect ratios, pattern densities and cap materials need different etch margins. A double AlOx stop is useful where another protected endpoint justifies the added processing. The extra film adds formation, selective opening and cleaning steps, plus another set of interfaces to control adhesion, moisture, and stress. These blanket films are opened through the existing via pattern, so each film does not require another lithography mask. AlOₓ adds parasitic capacitance when it replaces lower-k dielectric; two thin AlOₓ films can nevertheless contain less AlOₓ than one thick film. Total thickness, placement, and theintermediate dielectric determine the electrical cost. Deposition chemistry also changes AlOx permittivity and residual hydroxyl content, which can oxidize the underlying metal. [7], [8], [10], [11] The backside stack separates into relatively fine BM0-BM2 wiring near the devices and coarser BM3-BM5 power distribution. The largest pitch increase occurs between BM2 and BM3. BM0’s pitch closely matches the logic-row height, fitting local power delivery to the cell rows. Higher levels aggregate current through larger conductors: routing density becomes less important than low resistance and current capacity as the network approaches the package. This hierarchy provides wide power wiring for the power delivery network without consuming scarce frontside signal-routing resources. [3] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Frontside Interconnects Intel 18A combines Mo-lined W contacts and nano-TSVs with a separate backside Cu power network. Samsung SF2 keeps power on the frontside, using Ti-based contact interfaces and Ta-based barriers and Co liners around Cu wiring. In 18A standard-cell rows, backside power rails supply the devices through nano-TSVs within the cells, freeing frontside routing resources. Samsung’s M0 accommodates both power and signal connections. From the device toward M0, the connection runs through a Ti-based S/D interface, W contact fill, a Mo-lined W via, and the Cu M0 wire. Mo supplies a conductive nucleation and adhesion layer for W, replacing the resistive TiN liner used in conventional W integration. This increases the effective conduction volume within the feature while retaining W fill and its established polishing, cleaning and etching processes. Intel’s Mo/W patent describes this integration tradeoff. The nano-TSV uses the same Mo-lined W construction in the backside supply path. [12] The move from TiN to Mo is an incremental change. While a full Co or Mo fill can also reduce the volume lost to liners in very small features, it requires new integration schemes that increase complexity and risk. Cu remains attractive for wider wires due to its low resistance. As wires and vias shrink, the diffusion barrier consumes an increasing fraction of their cross-section. [12], [12], [14] Intel uses Co/Ru liners at M0-M1, Co at M2-M4, and Nb at M5-M9. The lower-level liners help Cu adhere and reduce void formation during trench fills. Applied Materials’ Endura has new thermal control that facilitate wetting process, so the thin film continuity is good enough that good capillary pressure will drive Cu atoms to the via bottom without voiding. Intel’s choice to use Nb is particularly interesting. Intel’s Nb patent describes a conductive diffusion barrier intended to reduce the barrier’s contribution to resistance relative to conventional Ta-based barriers, particularly at via bottoms where all current crosses the barrier. The patent pairs Nb in coarser levels with the option of lower-cost PVD processing. [15], [16] The upper metal layers support thicker barriers formed through physical vapor deposition (PVD) despite its worse coverage and uniformity. Meanwhile, the lower metal layers require thinner barriers deposited through conformal atomic layer deposition (ALD). Co/Ru adds another material interface and requires controlled deposition and Cu fill. Changing liners and barriers by metal layer allows Intel to optimize interconnect resistance, process complexity, and reliability. [15, 16] RibbonFET, Intel’s name for its gate-all-around FETs (GAAFETs), replaces the FinFET’s vertical fins with four stacked horizontal silicon nanosheets, allowing the gate to surround the channel on every side. The path to GAAFET begins with the planar transistor. A planar MOSFET places the gate above the channel between its source and drain. Pairing an NMOS with a PMOS transistor creates a CMOS inverter, in which the NMOS pulls the output low for a high input, and the PMOS pulls it high for a low input. The gate must retain electrostatic control of the channel to ensure clean switching. As gate lengths shrank, the drain began to compete with the gate for that control, increasing off-state leakage. Electrostatic control was restored through an architectural evolution that raised the channel into a vertical fin and wrapping the gate around three sides. Called “FinFET”, this new architecture packed more effective channel width into a smaller footprint. Further scaling made it harder to maintain both drive current and leakage within smaller cells, and reintroduced the same problems planar MOSFETs faced. Nanosheet GAAFETs close the fourth side by replacing the vertical fin with a stack of horizontal nanosheets, each surrounded by the gate. The tighter electrostatic control suppresses leakage at shorter gate lengths while stacking adds effective channel width within the cell footprint. In a FinFET process, channel width changes in discrete steps as designers must add or remove whole fins. Nanosheet width can instead be adjusted continuously within the process’s design rules. Wider sheets increase drive current, while narrower sheets reduce capacitance at the cost of drive current. Intel 18A uses stacks of four nanosheets each and varies their widths across logic and SRAM. At the process level, adding more sheets to each stack increases effective channel width and drive current, but complicates fabrication. RibbonFET vs MBCFET Samsung began GAAFET production in 2022 with SF3E, following with SF3 and now SF2. Its ‘MBCFET’ provides a useful structural comparison with Intel’s first RibbonFET implementation. [17] STEEL is digging deeper into SF2, used in the Exynos 2600, and TSMC’s GAAFET N2, used in Apple’s A20 Pro, in upcoming newsletter articles. We’re throwing some teasers on X. Let’s compare Samsung SF2’s MBCFET with Intel 18A’s RibbonFET. Subscribe Even to the untrained eye, Intel’s extra nanosheet is obvious. Intel stacks four ribbons to Samsung’s three. Samsung’s sheets are much wider in these fields, so both sheet count and width matter to the available channel perimeter. Sheet width also changes which silicon surfaces carry current. On conventional (001) silicon, wide nanosheets emphasize the broad top and bottom surfaces, favoring electron transport; the larger sidewall contribution in a narrow sheet favors hole transport. Thinner sheets improve gate control but increase confinement and scattering. This makes width and thickness part of the NMOS/PMOS balance, alongside strain and threshold voltage. [18], [19] GAAFET designs like 18A use different work-function-metal (WFM) stacks for NMOS and PMOS. Around each ribbon, a thin SiOx interfacial layer separates the silicon channel from the HfOx high-k dielectric, with La providing dipole tuning and the WFM wrapping the dielectric. NMOS uses a TiAl-based stack, while PMOS uses TiN WFM. W fills the remaining gate trench, providing a lower-resistivity path where the work-function layers are no longer needed. In this field, the PMOS stacks leave room for W between ribbons, while the NMOS stacks occupy more of those gaps. A silicon-based dielectric marks the P/N boundary, allowing the PMOS and NMOS gates, sharing the same gate trench, to be processed sequentially. Fast logic paths, retention circuits, and SRAM need a family of threshold options. Changing threshold without substantially changing device dimensions, capacitance or fabrication complexity is valuable. FinFET processes typically use different work-function-metal stacks. In a four-ribbon GAA stack, the narrow sheet-to-sheet gap limits how much WFM can fit around each channel. La in the gate dielectric creates interfacial dipoles at the SiOx/HfOx boundary, shifting effective work function and tuning threshold voltage. This gives Intel another control alongside its NMOS and PMOS WFM stacks. Low-threshold devices improve critical-path drive; higher thresholds reduce leakage elsewhere. Dipole tuning is especially useful in GAA because it changes threshold without consuming the narrow intersheet gap with thicker WFM. Precise control of La incorporation, diffusion and interface quality has long been a challenge, limiting viability in high volume production but is now seen from every leading-edge foundry. Intel’s patent describes depositing a dipole-forming oxide above HfOx and annealing it toward the interfacial oxide before completing the work-function and fill metals. This separates threshold tuning from the space available for metal. Newer research addresses the thermal cost: imec’s 2026 dipole-middle research inserts the shifter between two HfOx depositions, shortening the diffusion path while protecting SiOx during patterning. [20], [21]Matched-cut EDS, Intel 18A (left) vs. Samsung SF2 (right). Intel retains raised source/drain epi beneath its contacts, while Samsung recesses W deep into the epi to form a V-shaped Ti-lined interface. The deeper contact increases metal-to-semiconductor area and shortens the current path from the lower sheets, reducing contact and spreading resistance. It also removes epi volume and brings the contact etch closer to the channel ends. Retaining more epi preserves the material available for strain transfer, especially from SiGe into PMOS. These geometries balance contact access against stress engineering and etch margin. [22], [23] Samsung stacks three sheets to Intel’s four ribbons, and both processes use sheet width to tune drive strength. In our Samsung cross-sections, widths range roughly from 19 to 30 nm in the NPU rows and 37 to 50 nm in the CU cell. The Samsung nanosheets taper, with the widest sheet at the bottom and the narrowest at the top. Both processes use HfOx gate dielectric and Ti-based work-function stacks, with Al in the NMOS stack. In the Samsung devices shown here, the dielectric and WFM occupy the intersheet gaps, leaving W above the top sheet. Intel’s PMOS stack leaves more room between ribbons, and W fills those gaps while the thicker NMOS stack leaves W mainly in the upper trench. Gate-stack EDS maps. The W between Intel’s PMOS ribbons provides a conductive path close to the lower gates. Where WFM fills the entire gap, the gate still surrounds the channel, but voltage reaches it through the more resistive work-function films. Thinner WFM and dipole tuning preserve room for low-resistivity fill; Mo and Ru are alternative fill metals being developed for further scaling. [24] A masked, sequential WFM flow explains the different gate heights and inter-nanosheet fill. The proposed sequence below shows how separate NMOS and PMOS work-function steps produce that geometry. Enabled by the BSPDN process, Intel replaces the dense-logic silicon subfin with dielectric, removing the parasitic conduction path below the ribbons and reducing substrate-related capacitance. A retained silicon body as in classical, non-SOI, planar and FinFET designs needs junction and punchthrough-stop engineering to suppress leakage. Dielectric isolation makes that leakage less sensitive to the subfin doping profile but adds removal and fill steps. It also weakens the direct thermal path through silicon, making the contacts, metal stacks and package more important for heat extraction. [24], [26] Fluorine is concentrated around selected Intel device structures in the maps. WF6 is a standard precursor for W nucleation and fill, while barrier films protect adjacent dielectrics from fluorine attack. Low-fluorine W processes reduce the residual-F burden. Chloride-based precursors avoid introducing F during W deposition, but require control of chlorine attack, nucleation and fill quality. The integration target is a continuous, low-resistance W path with a thin protective liner and minimal chemical damage to the surrounding stack. [20], [27], [28] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. We measured cell height, gate pitch, metal geometry, and ribbon dimensions at the XTEM sites shown below. The tables group these dimensions by site and device polarity. Our “sheet cuts” cross the silicon channel and show the ribbons end-on. “gate cuts” run along the channel through successive gates. The 18A logic cell dimensions point to a five-track logic library while the N3E and Intel 3 cell dimensions evidence a seven-track logic library. The DDR-PHY uses wider M0 wires and much larger spacing than core logic. That trades routing density for lower wire resistance and weaker coupling between neighboring nets. The geometry suits the current delivery and coupling requirements of analog, clock, and I/O circuitry. PowerVia lets 18A combine a compact cell height with wider M0 geometry by moving the main power rails off the signal-routing tracks. That relaxes local wire scaling while preserving a small cell footprint. Cell height and gate pitch set the geometric density; pin access and routability determine how much of it a real block can use. [29] The biggest takeaway from our gate-pitch measurements is that Intel 18A compute logic and TSMC N3E GPU logic have similar density in the Bohr representative-cell model. The 18A example is 18.6% denser than the Intel 3 GPU example. Gate pitches are nearly identical across the three sites, so cell height drives most of the difference. The Bohr model combines a four-transistor NAND2 spanning three gate pitches and a 32-transistor scan flip-flop (SFF) spanning nineteen pitches, weighting their densities 60:40. The sensitivity column shows how independently changing cell height and gate pitch by ±1 nm changes the result. This compares representative cell geometries; whole-die density also depends on cell mix and placement. The 18A P-core gives M0 substantially more metal cross section than the N3E vector engine. Treating each profile as a trapezoid gives 2.63 times the area per line and 1.84 times the area after normalization by routing pitch. The larger section reduces the geometric contribution to line resistance and lowers current density for a given current. Taller and wider wires also add capacitance, so circuit delay depends on the balance of resistance and capacitance. The DDR-PHY has less metal area per routing width than the 18A core fields, while remaining above N3E. [30] Area = height × (top CD + bottom CD) / 2, including liners. Area/pitch normalizes by routing width. Taper is the symmetric sidewall angle from vertical, with the largest angle belonging to the DDR-PHY. Compute tile The measurements show how ribbon dimensions and gate-stack geometry vary across the compute tile and between NMOS and PMOS to balance channel drive, gate load and the space needed for the dielectric/WFM stack across logic, SRAM and the DDR-PHY. Width mainly changes available channel perimeter; thickness also changes electrostatic control and carrier confinement. Gate-stack thickness then determines the space left for low-resistivity fill P-core and LP E-core logic Both the P-core and LP E-core use multiple nanosheet widths. Widths are measured on high-magnification XTEMs while wider-field images demonstrate additional width choices within the LP E-core. Multiple widths are expected even within an LP E-core. Timing-critical paths, buffers and cells with different fanout need different drive strengths. The lower-magnification fields show this width diversity beyond the sites quantified in the table. L2 and L3 SRAM GAA gives SRAM designers another way to balance the pull-up (PU), pass-gate (PG), and pull-down (PD) transistors. FinFET bitcells set device strength through fin count while GAA adds nanosheet width as a sizing knob. In a 6T SRAM cell, a strong pull-down relative to the pass-gate limits read disturbance, while a strong pass-gate relative to the pull-up improves writability. During a write, the pass-gate and write driver pull the node storing “1” below the inverter trip point. During a read, the pull-down holds the node storing “0” low. Bias, threshold voltage, mismatch and assist circuitry set the remaining margin. FinFET high-current cells commonly use a PU:PG:PD fin-count pattern of 1:2:2, a device-sizing ratio rather than a current ratio. Ribbon width lets Intel balance SRAM strengths without adding whole fins. The L2 cell uses its narrowest ribbons for PU and widest for PD, improving writability and read stability respectively. Intel’s disclosed HCC operates without assist; its denser HDC uses negative-bitline write assist. Pulling the selected bitline briefly below ground increases pass-gate overdrive so it can overpower the pull-up at lower supply voltage. That buys density and low voltage writability at the cost of boosting circuitry, switching energy, and additional voltage stress that must be controlled. [31], [32] Four rectangular ribbons give the perimeter = 8 × (width + thickness), before corner rounding. PG/PU is 1.49 and PD/PG is 1.16. The L3 structures closely resemble L2 in layout and cell height. Fewer L3 nanosheet widths are tabulated because fewer high-magnification images were available. DDR PHY The DDR-PHY trades density for controlled analog behavior and reliable off-chip signaling. It contains drivers, receivers, delay circuits, and calibration logic that set drive strength, sampling time, and voltage margin. Repeated four-sheet devices with similar widths fit the use of regular transistor units for matching and programmable drive. Its wider local wiring provides room for current delivery and separation of sensitive signals, while consuming more area than a dense core-logic grid. The layout serves the memory channel’s electrical requirements as well as digital logic density. [33] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Intel 3 GPU devices Vector engine logic Intel 3’s XVE logic uses two-fin PMOS and NMOS devices with power rails in M0. Its cell height and M0 pitch give a seven-track geometry, two tracks more than the 18A logic. One-fin groups also appear among the two-fin devices. Intel 3 L2 SRAM The Intel 3 L2 SRAM uses the familiar HCC sizing pattern: one PU fin, two PG fins, and two PD fins. N3E GPU devices Vector engine logic The N3E XVE field contains repeated two-fin devices with seven-track cell geometry. N3E remains a FinFET process, giving Panther Lake a direct FinFET-to-RibbonFET comparison. N3E L2 SRAM The N3E L2 SRAM uses the same PU:PG:PD fin-count pattern of 1:2:2. Panther Lake-U follows Lunar Lake’s floorplan quite closely. Both pair 4 P-cores with 4 LP E-cores and NPU, media and display engines in similar locations. Lunar Lake also uses Xe2, the direct predecessor to Panther Lake’s Xe3 GPU. This makes Lunar Lake the most direct basis for our comparisons. Arrow Lake differs in core count and uses the older Xe-LPG GPU architecture, so we only use it where it offers a more direct component-level comparison. Compute tile Panther Lake compute-tile floorplans remain sparse even months after launch. Intel 18A’s backside metal and dielectric stack must be removed without damaging the underlying structures before a clean transistor-level floorplan can be imaged. Most published die shots hide or heavily process the background, but we are quite proud of the die shot we achieved and are excited to show the work we have done. We measured the areas of the key components on the compute tile and compared them with their Lunar Lake predecessors on TSMC N3B. These help us to capture changes in block area and compare the two chips across process nodes and designs. Our total tile areas exclude the scribe-line area. The compute-plus-GPU subtotal below uses the PTL-U compute tile and GT1 GPU; it excludes the I/O tile and passive base. Individual block areas use the boundaries marked on the floorplans The compute-plus-GPU row is recomputed from the displayed PTL-U and GT1 areas. Component rows use their stated per-region counts and are not an additive partition of the whole tile. The P-core area remains almost unchanged between Lunar Lake and Panther Lake, despite L2 capacity increasing from 2.5 MiB to 3 MiB. Arrow Lake uses the same Lion Cove core as Lunar Lake but also has a 3 MiB L2. Cougar Cove fits 20% more L2 into the same P-core area. The larger private cache keeps more of each core’s working set close to its execution units, reducing access to shared L3 and DRAM. Extra capacity adds storage leakage and lookup energy, so designers balance it against avoided lower-level accesses. The shared P-core L3 cache also shrank by 14.8%. [2] Cougar Cove combines a similar footprint with Intel’s reported power-efficiency improvements. RibbonFET’s tighter channel control reduces leakage, while PowerVia reduces supply droop and allows tighter voltage guardbands. [1] Darkmont’s four-core LP E-core cluster is 5.0% smaller than Skymont’s on Lunar Lake, with most of the reduction in its L2 regions. The 1 MiB region shrank by 8.4% and the 1.5 MiB region by 14.9%. The tag arrays also use one fewer visible row. Tags identify which memory addresses the data array holds, so rearranging them changes the cache’s layout and wiring without requiring less data capacity. [2] The LP E-cores share one L2. This pools capacity and avoids duplicating all the cache machinery, but the four cores contend for its banks and bandwidth. Their separate cluster also keeps light work away from the performance cluster and its L3, allowing that larger domain to sleep. [1], [2] Cache area includes more than the storage cells. Tags identify each line, decoders select rows, sense amplifiers read the small bitline signal, and wires connect to the banks. Splitting an array into smaller sections shortens wordlines and bitlines, improving access speed, but duplicates peripheral circuits. Panther Lake’s smaller cache regions therefore reflect the complete memory implementation, including how much of each region is devoted to storage. [34] Unlike Meteor Lake and Arrow Lake, Panther Lake has no separate SoC tile. The NPU, LP E-cores, memory controllers, PHYs, media and display engines now share the compute tile. This removes an active die and keeps CPU memory traffic on one die. The cost is moving PHY and I/O-related circuitry onto 18A: drivers, receivers and analog circuits must still meet external voltage, loading and signal-integrity requirements, so their area does not shrink like dense digital logic. [1], [2] The biggest shrink comes from the NPU, which occupies 36.9% less area. NPU 5 consolidates the same total INT8 MAC count into half as many neural compute engines. Each of the three NCEs has a larger MAC array to make the complete NCE envelope 22.6% larger than an NPU 4 engine. Consolidation also halves the number of scratchpads and SHAVE DSPs, from 12 to 6. The MAC array handles matrix multiplication and convolution, while SHAVE executes vector and custom operations that fit the array poorly. [1], [2], [35] The paired floorplans identify each NCE envelope and its scratchpad, MAC, and SHAVE regions. Each measured MAC polygon is counted once per NCE in the area accounting below. The scratchpads store weights, activations, and intermediate results near the MAC arrays, allowing repeated use without fetching them again from DRAM. Halving their number delivers the largest measured area saving but leaves less local storage for the same total MAC count. Layers that no longer fit locally require smaller working tiles or more transfers of intermediate data. The benefit depends on keeping the enlarged arrays busy while managing that tighter storage budget. [36] NPU 5 also adds native FP8. Using half the operand width of FP16 reduces storage and transfer demand, helping workloads fit the smaller local memory budget. Lower precision and format-dependent range make scaling and model validation part of deployment. Hardware activation functions further reduce work that would otherwise occupy the programmable DSPs. [1], [2] Microsoft requires an NPU to deliver at least 40 TOPS for Copilot+ PCs. Both Lunar Lake and Panther Lake meet this threshold, but Panther Lake uses significantly less silicon. GPU tiles Panther Lake is Intel’s first product with Xe3, its latest GPU architecture. It offers two different GPU tiles: a smaller GT1 tile with 4 Xe3 cores on Intel 3 and a larger GT2 tile with 12 Xe3 cores on TSMC N3E. Panther Lake allows us to compare the same GPU architecture across both Intel 3 and TSMC N3E. Wildcat Lake adds a third Xe3 implementation on Intel 18A. A future newsletter will detail Xe3 and its implementation differences across all three process nodes. GT2 scales Xe3 to a different physical layout, with render slices arranged vertically instead of GT1’s horizontal arrangement. Slice placement sets the distances to shared cache banks and the D2D interface. Those wires consume area and add delay, so scaling the number of Xe cores also requires a new balance of cache placement, routing and timing. [1] What’s immediately obvious is that the GT2 tile on TSMC N3E has much smaller Xe cores than GT1. These block areas include logic, caches, and routing. An Xe core on the GT1 tile is ~69% larger than one on Lunar Lake, and ~55% larger than one on GT2. Intel 3 therefore uses substantially more area per Xe core. The block-area gap exceeds the measured logic and SRAM density gaps, bringing routing, timing targets, cell mix, and floorplan allocation into the comparison. The measured vector/matrix engine region is almost unchanged between Lunar Lake and Panther Lake’s GT2 tile. Xe3 retains eight 512-bit vector engines and eight 2048-bit XMX engines per core. Its gains also come from feeding those engines more effectively: more resident threads hide stalls, and variable register allocation lets shaders trade registers per thread against the number of threads kept active. [1] The shared L1/SLM capacity increased by 33% from 192 KiB to 256 KiB, while its area increased only 5%, raising effective density by 27%. L1 retains reused cache lines, while software-managed SLM lets a thread group share data locally. Both reduce traffic to more distant memory. Allocating more SLM per group can also limit how many groups reside on a core at once. [1], [37] The GT1 tile carries 4 MiB of L2 against 16 MiB on the GT2 tile. GT1 divides its L2 cache into four 1 MiB banks, while GT2 uses eight 2 MiB banks. Each bank contains 128 macros, but each N3E macro stores 16 KiB, twice the Intel 3 macro’s 8 KiB capacity. The N3E macro is only 54% larger while holding twice as many bits, giving it 30% higher density: ~23.7 Mbit/mm² versus 18.3 Mbit/mm². Including bank-level circuitry, the gap widens to ~16.9 Mbit/mm² on GT2 versus ~10.4 Mbit/mm² on GT1. GT2 gains density with its macros storing more bits per unit area, and those macros occupy more of each cache bank. Larger macros spread decoder and sense-amplifier overhead across more storage, while a more compact bank layout reduces the share spent on control and routing. The compromise is longer wordlines and bitlines that carry more capacitance. [34] I/O tile Panther Lake uses two I/O tile variants, both fabricated on TSMC N6. The smaller one provides 4 PCIe 5.0 and 8 PCIe 4.0 lanes and serves lower-tier systems as well as those without a discrete GPU, while the larger one adds 8 PCIe 5.0 lanes, bringing the total to 20 lanes, for discrete-GPU connectivity. Panther Lake SKUs with the larger 10- or 12-Xe GPUs use the smaller I/O tile. [38] The smaller I/O tile adds a PCIe 4.0 block and a Thunderbolt block to Lunar Lake’s I/O layout, providing four additional PCIe 4.0 lanes and another Thunderbolt 4 port. Its repeated N6 blocks retain nearly identical areas and layouts. Reusing these proven PHYs and controllers avoids porting and requalifying external interfaces on 18A, where faster digital logic offers less benefit to circuits constrained by the off-chip link. [38] SemiAnalysis’s teardown lab (STEEL) dives deep into the world’s advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. We’re hiring technical experts from system to transistor and everywhere in between. Check out our Careers page. Panther Lake offers scalability and modularity through its disaggregated packaging that partition compute, GPU, and I/O silicon into separate tiles allowing for a suite of tile configurations. This partitioning makes the package part of Intel’s node economics as it determines how much leading-edge wafer area each product consumes, which functions can remain on other processes, and how much configuration freedom Intel can offer from a shared set of tiles. Furthermore, fabricating the compute and GPU tiles separately confines the new 18A process to the compute tile and allows graphics and I/O to use other, more established, and more cost-effective processes. For Panther Lake, the GPU and I/O tiles are assembled alongside the compute tile on a passive silicon base using Foveros-S. Intel’s current technology brief lists a nominal 36 µm pitch for Foveros-S. Through-silicon vias (TSVs) in the base connect the fine wiring above to the larger package connections below. The functional tiles sit side by side on that passive base in a 2.5D configuration. [39] Our cross-section through the compute and GPU tiles shows the package’s wiring hierarchy. Microbumps connect each active tile to the passive silicon base; its fine redistribution layer (RDL) carries the short, dense tile-to-tile links. TSVs carry connections through the base to the package substrate, which fans them out to the much coarser motherboard solder joints. The base supplies interconnect, while computation remains in the active tiles above it. [39] At the compute-tile edge, the higher-magnification inset shows a local microbump spacing of approximately 25.24 µm and a feature width of 12.33 µm. These local spacings are finer than Intel’s nominal Foveros-S value. The X-ray fields further confirm tighter neighboring bumps, consistent across every die-to-die area found on each tile. Additional X-ray analysis is offered after the paywall. Putting the memory controller beside the CPU removes the D2D transfer that CPU memory requests required in Meteor Lake and Arrow Lake. This avoids the extra transmitter, receiver, and link traversal, saving interface energy and latency. Panther Lake’s separate GPU still crosses a D2D link to reach DRAM, so its larger local caches also help contain package traffic. [1], [40] Smaller dies are less likely to contain a random fatal defect, and screening them before assembly prevents one bad tile from consuming a complete package of good silicon. Reuse also spreads design and qualification work across more products. Against those gains, Intel pays for the passive base, D2D circuits, extra bonding and test steps, and losses during assembly. Cost per working product across the portfolio captures the combined effect of wafer yield, reuse, test, and assembly. [29] Wildcat Lake packaging Intel launched Core Series 3, formerly Wildcat Lake, on 16 April 2026 for value mobile and edge systems. Wildcat Lake keeps 18A but removes the passive base and combines more functions on one die to simplify the package. The two products therefore reveal two distinct ways to commercialize the same leading-edge process. [41] Wildcat Lake’s 18A die combines up to two Cougar Cove P-cores, four Darkmont LP E-cores, two Xe3 cores and a smaller NPU. A separate platform-controller die supplies I/O, connected through UCIe, Intel’s first processor implementation of the standard. Consolidating graphics remove a tile boundary and the passive base, reducing assembly complexity for a modest-bandwidth value product. It also ties CPU and graphics scaling to the same die, giving up Panther Lake’s ability to swap in a much larger GPU. [42], [43] In July 2021, Intel CEO Pat Gelsinger set out an ambitious process roadmap aimed at regaining performance leadership by 2025, later described as five nodes in four years. Five years and one CEO later, Intel’s comeback story is not as unambiguously positive as Pat may have hoped. [44], [45] Intel once set the pace for process technology, bringing high-k metal gate technology and FinFETs into volume production years ahead of the rest of the industry. Its 22 nm FinFET process reached consumers with Ivy Bridge in 2012. [46] Intel’s integrated device manufacturing (IDM) model allowed its architects and process engineers to co-optimize products and processes. Starting with Sandy Bridge, Intel dominated x86, while AMD struggled with Bulldozer. That lead faltered at 14 nm and broke at 10 nm. Intel targeted a massive 2.7× density increase, but the node arrived years late and required several revisions before it could support Intel’s full lineup. This delay forced Intel to stretch 14 nm across six generations, while TSMC moved ahead in process technology and AMD recovered in x86. By 2019, Intel was still shipping 14 nm across most of its product stack, with its 10 nm client ramp focused on Ice Lake mobile processors. Meanwhile, TSMC was shipping N7 and N7+, and AMD’s Zen 2 compute chiplets used N7 to raise core counts and improve efficiency. Intel’s process failures were central to its decline, but unsound business decisions furthered their downward slide. Product delays compounded product mistakes, pushing client, server, and FPGA roadmaps off schedule. Several attempts to enter AI (Nervana and Gaudi) and networking (Tofino) also failed to establish lasting businesses. Intel’s recovery has focused on consumer CPUs and advanced packaging. Tiger Lake, Alder Lake, Lunar Lake and now Panther Lake have restored Intel’s consumer roadmap. On the process side, Intel 4 shipped with Meteor Lake, Intel 3 with Granite Rapids and Sierra Forest, and Intel 18A with Panther Lake. Intel has also made advanced packaging part of its foundry offering. However, Intel is still playing catch-up in servers. Several Xeon generations arrived years late and trailed contemporary AMD and Arm server CPUs in performance, efficiency, and core count. The process roadmap is back, but Intel does not hold the same process-technology leadership position it held prior to 10 nm. The introduction of gate-all-around nanosheets and backside power delivery are two of the biggest changes to transistor integration in a decade. Intel took on both changes at once: 18A paired its first RibbonFET with PowerVia in Panther Lake. Panther Lake is a substantial manufacturing milestone. Our cross-sections show how RibbonFET and PowerVia reshape local contacts and wiring, while the floorplans show where architectural consolidation and process choices save area. A sustained competitive lead depends on product performance, cost, yield, and the next implementation. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page.. 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Huang says 1 number in the AI debate isn't science-based at all
Nvidia's CEO took aim at a figure that has shaped careers and portfolios, and the man behind it has his own doubts.
Microsoft CEO Discusses His Goals For The Future Of Xbox, Feels 'Fantastic' About The IP Portfolio
"We want to be a great publisher and a great platform provider"
Cowboys Aren't Interested In Buying Other Sports Teams, Jones Says
The Dallas Cowboys, the most valuation sports team in the world, are not interested in owning another sports franchise, bucking a recent trend.
Pioneer of China NewCo model sued in US over trade secret misuse, double-dealing
A legal feud unfolding in New York is putting a spotlight on the work of a business development veteran who is credited for pioneering one of biopharma’s hottest dealmaking mechanism: the China “NewCo” model. In a lawsuit originally filed in New York state court and recently moved to federal court, China’s Lepu Medical Technology has alleged that biopharma business development consultant Su Zhang, who was hired to help shop its GLP-1 weight-loss candidates to Western partners, engaged in corporate double-dealing and trade secret leaks. According to the complaint, while acting as Lepu’s primary dealmaking liaison for a group of obesity and metabolic disease drug candidates, Zhang was secretly double-dipping as the acting chief business officer for a direct competitor, BrightGene Pharmaceutical. “She never adequately disclosed the role, never sought Lepu’s consent, and never proposed any safeguard,” Lepu alleged in its complaint, which was filed in July after Zhang’s consulting firm, CoDevCo, sought certain transaction-based success fees from its angry customer through an arbitration process in Singapore. Lepu, the parent company of Lepu Biopharma, has asked Zhang to pay back its $500,000 retainer and disgorge all benefits she received during the alleged breaches of fiduciary duty, plus other damages and relief. The company has also requested the court grant injunctions to protect Lepu’s trade secrets. The ill-fated partnership officially kicked off in December 2024, when Lepu tapped CoDevCo as its “exclusive business development mechanism” to identify collaborators for the company’s drug candidates. According to Lepu’s complaint, Zhang personally negotiated and signed the agreement as managing director for CoDevCo, which used her home address. Before the Lepu deal, Zhang made a name following a short stint as the global head of business development for Hengrui Pharmaceuticals. It was during her tenure that Hengrui signed a landmark deal granting exclusive rights for a portfolio of GLP-1 assets to Hercules, which was at that time newly established by a group of private equity and venture capital firms. In addition to the regular upfront and milestone payments, Hengrui also gained an equity stake in Hercules, which later became Kailera Therapeutics. The Hengrui-Hercules deal opened a new paradigm, where a Chinese biopharma company spins off certain early-stage assets to investors for further development through the creation of a new company abroad. The “NewCo” model quickly came into vogue as it allows Western investors to access high-potential assets originating from China at an early stage while giving the Chinese licensors an opportunity to reap long-term benefits through equity stakes in the new firms. The NewCo model proved its value when Kailera staged a record-breaking $625 million IPO on Nasdaq this April, merely two years into the Hengrui deal. Related Kailera CEO 'knew we were in a good spot' before obesity biotech's record-breaking $625M IPO On her LinkedIn page, Zhang described her work at Hengrui as “[b]uilding team and capability from the ground up,” forming NewCo and major pharma partnerships worth billions of dollars. Lepu clearly wanted that kind of track record to help boost its own cardiometabolic portfolio, which includes a range of assets for obesity, Type 2 diabetes, fatty liver disease and muscle preservation during weight loss treatment. “Lepu’s pipeline is very valuable, but only if Lepu could secure the right international partner to expand into the overseas market during the available commercial window,” the company argued in its complaint. The Chinese biotech said it had little knowledge of U.S. laws, customs or business practices in the business development field, and therefore “needed to rely entirely” on the expertise of Zhang and her team as the firm’s first engagement of a U.S.-based BD consultant. “Zhang’s dominating influence on the business development strategy is further evidenced by the fact that she personally controlled the business-development communications on behalf of Lepu with potential partners,” Lepu said in its complaint. After entering the deal, Zhang introduced Lepu to her four associates. According to Lepu’s version of events, all of them were allegedly employed at different time points to perform similar jobs at other Chinese companies that Lepu described as its competitors, while having access to Lepu’s confidential information. As such, Lepu described Zhang’s team as “a roster of individuals whose primary professional loyalty, by virtue of their concurrent full-time employment, ran to Lepu’s competitors.” As well as the specific examples set out in the case, a look at Lepu’s deals over the period suggests Zhang may have been involved in at least one transaction. During their partnership, Lepu, through its subsidiary Shanghai Minwei Biotechnology, also out-licensed its GLP-1/GIP/FGF21 agonist MWN105 to a NewCo called Sidera Bio in the fall of 2025. The deal included an upfront and near-term payment of $35 million, up to $1.01 billion in milestones, and a 9.99% stake in the Danish startup. It seems likely that Zhang facilitated the Minwei deal given that Lepu is on record as having used CoDevCo as its “exclusive business development mechanism.” The big shock for Lepu came in the form of a news article on June 25, 2025. The article, reporting on phase 2 data for BrightGene’s GLP-1/GIP receptor agonist BGM0504, identified Zhang as acting chief business officer of the Lepu rival. Blindsided by her association with BrightGene, Lepu confronted Zhang in July 2025. “Lepu was given assurances that there was nothing to be concerned about and told that Zhang would explain the matter to Lepu,” Lepu alleged in its complaint. “Zhang never did.” Lepu claimed that Zhang had the motive and opportunity to steer potential prospective partners toward BrightGene or other competitors. Later, in February 2026, one of Zhang’s associates joined BrightGene as the vice president for global business development, according to the complaint. Around the same time, Lepu sent written demand letters asking Zhang to account for her BrightGene role, identify what confidential data were shared with the rival firm, and provide any conflict-of-interest or firewall policies during the engagement. According to Lepu, neither CoDevCo nor Zhang answered the questions in their responses. Related Novo vs. KBP: How a $1.3B deal turned into a fraud accusation and an international legal fight In a motion to dismiss filed with the U.S. District Court in the Eastern District of New York on Sept. 4, Zhang’s legal team argued that Lepu’s agreement was signed with CoDevCo, and that an employee of the contractor does not owe fiduciary duties to the client. In its complaint, Lepu said: “That CoDevCo was the contracting entity does not insulate Zhang from personal liability for duties she personally undertook and personally breached.” Taking the argument one step further, the defending party argued that the consulting agreement “does not create a fiduciary relationship even between CoDevCo and Lepu; instead, it identifies CoDevCo as an independent contractor retained to market Lepu’s business to potential western partners.” Although CoDevCo was Lepu’s exclusive business-development contractor, there were no terms stipulating that the consulting firm should serve only Lepu, Zhang’s lawyer noted. As to Lepu’s claims that Zhang misappropriated trade secrets, the defendant argued that Lepu authorized the use of the information so Zhang’s team could perform their service per the agreement. In a rebuttal filed on Sept. 11, Lepu’s lawyer set out why they believe the Chinese biotech satisfied New York law’s misappropriation definition by alleging that the defendant used a trade secret “in breach of a duty or through improper means.” As an alternative to dismissing the suit, the defendant suggested the action should be stayed pending outcomes from the arbitration of a separate case in Singapore. While NewCo pioneer Zhang is defending her business arrangements, momentum behind the NewCo trend has continued unabated into 2026. Through August, Chinese biotech assets have spurred 15 NewCo deals this year, according to local trade publication PharmaDJ.
Florida Blue Foundation Awards Grants to Address Food Insecurity and Improve Health Outcomes
September 23, 2026 – This September, during Hunger Action Month, Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of the GuideWell portfolio of companies, is awarding $3.1 million in grants to eight community-based food initiatives across Florida. These grants directly address food insecurity—a critical driver of health—while strengthening communities’ access to nutritious […]
Orange Boosts Life Science Portfolio With Biolevate Funding
Claire Scotton, VP Healthcare & Life Sciences at Orange, explains that Biolevate can accelerate life sciences innovation with trusted AI and workflows
Is PENN Entertainment (PENN) Stock a Buy After Its Latest Multi-Million Dollar Bet?
Analyzing a gaming and entertainment operator requires looking past headline-grabbing project announcements to examine underlying cash generation, portfolio compounding, and capital allocation discipline. PENN Entertainment (NASDAQ:PENN) has spent recent periods restructuring its debt profile, improving operating margins, and refining its regional asset footprint to focus on higher-return landside venues. While the company has made measurable […]
Banijay Entertainment Heats Up Dating Slate with Temptations Under the Sun
Media and entertainment group, Banijay Entertainment, today announces it has acquired the global rights to French-Canadian dating format, Temptations Under the Sun. Expanding the group’s strategy-led reality-dating portfolio, the title is a spin-off of Canada’s longest-running reality romance show Occupation Double, which has aired for more than 20 years. Created by Productions J, the French […]
Caesars Entertainment expands remote gameplay portfolio with launch of Remote Roulette™ inside Tropicana Atlantic City
Caesars Entertainment, Inc. (NASDAQ: CZR) ("Caesars") announced the launch of Remote Roulette™, powered by Evolution’s Dual Play Roulette, a new gaming
Corbion launches second cultured preservation solution
The portfolio now includes Verdad Essence WH150.
PureTech Health H1 Earnings Call Highlights
PureTech Health (NASDAQ:PRTC) outlined progress across its portfolio in its 2026 half-year results call, highlighting external financings for Celea Therapeutics and Seaport Therapeutics, regulatory progress at Gallop Oncology, and a strategy centered on earlier external funding for its founded entit
Banijay Entertainment Brings Back Romance with Nordisk Film TV’s Date Knight
Media and entertainment group, Banijay Entertainment, today unveils a brand-new dating reality format Date Knight. Produced by Nordisk Film TV, part of Banijay Nordic, for Danish public broadcaster DR, the format will join the group’s portfolio of new IP heading to MIPCOM. Date Knight invites singles to step into a spectacular romantasy world where epic […]
Banijay to Launch Dating Reality Format 'Date Knight' at Mipcom
Banijay Entertainment has unveiled a new dating reality format "Date Knight," which will join its portfolio of new IP heading to TV market Mipcom.
Fastly Inc. (FSLY) Jumps 15% Ahead of Tuesday’s Key Business Updates; Hedge Fund Conviction Weak
Fastly Inc. (NASDAQ:FSLY) climbed by 14.92 percent on Monday to end at $27.42 apiece as investors began positioning portfolios ahead of key business updates at its Investor Day meeting tomorrow, September 22. The rally was supported by earlier warnings from Anthropic Chief Executive Officer Dario Amodei that development of artificial intelligence must slow down and […]
Reasons to Hold Hinge Health Stock in Your Portfolio for Now
HNGE's strong revenue growth, raised 2026 outlook and expansion into Migraine and GI care support its growth prospects despite investment pressures.
Play'n Go partners with Ember Entertainment to expand portfolio
The renowned online casino game provider announced a new partnership to power titles in West Virginia, with two other states planned in the near future.
Faropoint adds another Long Island property to its portfolio
Faropoint purchased a 33,500-square-foot industrial building in Farmingdale for $6.35 million, expanding its Long Island portfolio.
Eisman: Tesla’s Multiple Is Crazy Unless You “Believe that Tesla’s Robotaxi Business will Conquer the World.” “Count Me As a Skeptic”
Steve Eisman, the Neuberger Berman senior portfolio manager made famous by The Big Short, laid out the math on his weekly wrap podcast: “The consensus estimate for Tesla for 2026 is $1.66, so the 2026 PE is 220 times. Auto stocks by contrast, have very low multiples. GM’s 2026 P E is 6.5 times. The […]
Earth Science Tech, Inc. Uplists to OTCQB Venture Market
MIAMI, FL, Sept. 16, 2026 (GLOBE NEWSWIRE) -- Earth Science Tech, Inc. (OTC: ETST) ("Earth Science Tech" or the "Company"), operating as a holding company with a diversified highly accountable portfolio of distinct entities, today announced its successful uplisting to the OTCQB Venture Market (the "OTCQB") effective for trading September 17, 2026. The OTCQB is a premier, established public market for entrepreneurial and growth-stage companies. To qualify for quotation, companies must meet rigoro
SPX Technologies acquires Fresno-based FIS Water for $410M
SPX Technologies has completed its roughly $410 million cash acquisition of Fresno-based FIS Water, adding the water-management to its portfolio.
Kakao Entertainment partners with Disney Korea on some 10 K-pop IP projects, with a ‘K-culture fund’ in
Kakao Entertainment said it will combine its IP business across the K-culture ecosystem with Disney’s portfolio of story assets.
Hain Celestial to sell international business for $323M
Hain Celestial is selling its international business to Aurelius for $323 million as it works to simplify its portfolio, cut debt and costs.
Hisense Unveils New C3 Projector Family for Immersive Home Entertainment
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Please Stop Conflating Sports Betting Handle With Spending On Entertainment
Editor’s note: The Cashout for paid subscribers will publish on Tuesday. Every September there’s a huge uptick in how much people bet on sports with the start of football season. Which means it’s time to get ahead of a ridiculous narrative before it picks up steam on social media or in mainstream media. Subscribe Every few months I see some version of this: [ Charlie Bilello@charliebilello Americans bet over $165 billion on sports last year, which is more than they spent on movies, books, concerts and sports tickets - combined. 1:00 PM · Jun 28, 2026 · 4.1M Views 258 Replies · 674 Reposts · 4.23K Likes ](https://x.com/charliebilello/status/2071217050328895935?s=20) Fortune published this in July. The headline and start of the story tell the same narrative (emphasis added): Gambling becomes America’s favorite pastime as Americans spend more on sports bets than movies, arts, museums, and music combined: The North American box office totaled $8.87 billion in 2025, which is still 22% below pre-pandemic levels. Recorded music revenue hit a record $11.5 billion. Live music like concerts and festivals brought in $18.51 billion. Meanwhile, book publishers tracked by the Association of American Publishers reported $14.6 billion for the year. And the U.S. museum industry generated an estimated $16.4 billion. Add it up and the total comes to roughly $70 billion, which is less than half what Americans wagered on sports. The story, to its credit, goes on to tell us why sports betting is entirely different, although people who only read headlines will miss that nuance. (The tweet above definitely skips over the nuance.) I will mostly be preaching to the choir here, but it’s worth saying out loud: Wagering money on sports is not the same thing as spending on entertainment from a financial perspective. When you spend money on a movie or concert ticket, that money is gone. You exchanged money for an experience. It’s a good trade! I get to have fun for “x” dollars. (Unless the movie sucks, I guess.) When you bet money on sports, the money is not necessarily gone every time you wager it. It could be gone, but sometimes it’s not and you actually get more money back! That’s not “spending” money or something you should try to compare directly to entertainment spend. A far better comp would be how much people lose at sports betting. That number was more like $17 billion in the US last year, at least for state-regulated sportsbooks. Why are we trying to equate handle and entertainment spending? I dunno. It makes for splashy headlines, I guess. Now, people should be betting for entertainment, and not because they expect to win in the long term; no doubt about it. Anyway, here’s hoping I don’t see people saying Americans “spent” hundreds of millions of dollars on sports betting this fall. Mindway AI and DraftKings Expand Responsible Gaming Drive with Launch of Gamalyze American Football In time for the NFL kickoff, Mindway AI has expanded its partnership with DraftKings to launch Gamalyze American Football the second title in the neuroscience-based Gamalyze Sports collection. Following the success of Gamalyze Football (soccer) during the FIFA World Cup, this gridiron-themed update replaces static questionnaires with immersive, stadium-inspired gameplay. Backed by 10+ years of Aarhus University research, Gamalyze evaluates real-time decision-making to deliver instant, unbiased player risk assessments. Integrated into DraftKings’ platform and nationwide activations, it engages fans when excitement peaks. Ready to upgrade your player protection? Contact Mindway AI to try Gamalyze Sports today. Gambling news roundup 🚨The important stuff 1st NFL Sunday of Season ‘Champagne-Popping Day for Bettors’ (Covers): “The first NFL Sunday of the season was a champagne-popping day for bettors, while the book was left cleaning up the corks,” Caesars’ head of football Joey Feazel said prior to the Sunday night game. “Caesars Sportsbook reported that Detroit’s Jahmyr Gibbs, Baltimore’s Derrick Henry, Indianapolis’ Jonathan Taylor, and Atlanta’s Bijan Robinson were among the top five most-bet players to reach the end zone, and all of them cashed tickets.” [ Ben Fawkes@BFawkes22 A @CaesarsSports oddsmaker on how Week 1 has gone so far: “The first NFL Sunday of the season was a champagne-popping day for bettors, while the book was left cleaning up the corks.” ➡️8 of 10 most popular anytime TD scorers cashed 1:31 AM · Sep 14, 2026 · 276K Views 16 Replies · 16 Reposts · 615 Likes ](https://x.com/BFawkes22/status/2099310001927995849?s=20) 🔍 Are we already getting a “customer-friendly results” narrative in Week 1? NFL Commissioner Roger Goodell spoke with CNBC about the prediction markets industry: “We think that there needs to be stronger regulations into the predictive markets,” Goodell said. “We want to see that to protect the integrity of our game. We want to make sure we’re protecting the consumers that are on those platforms for the NFL. So, we’re continuing to have conversations with them and talk to them about the things that we think they need to do to strengthen that so that they could be potential partners at some point in the future.” More on the NFL + PMs: [ Straight to the Point Quid Pro Quo The NFL has asked Kalshi and other prediction markets to remove certain easy to manipulate markets. Does a potential partnership hang in the balance… Read more 6 hours ago · 19 likes · Steve Ruddock ](https://straighttothepoint.substack.com/p/quid-pro-quo?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=1472492) Kalshi was on my podcast?: Kalshi was on my podcast [ The Event Horizon Episode 32: Talking Prediction Market Enforcement With Kalshi’s Robert DeNault Kalshi? On my podcast? Yep… Listen now 5 hours ago · 6 likes · 1 comment · Dustin Gouker ](https://nexteventhorizon.substack.com/p/episode-32-talking-prediction-market-enforcement-kalshi?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=1472492) DraftKings Enhances Responsible Engagement Efforts With New Customer Initiatives, Tools and Education (press release): DraftKings Inc. today announced a series of new initiatives designed to promote responsible engagement and increase awareness and use of the tools and resources to help customers make informed decisions and engage responsibly. The efforts include a new digital advertising campaign featuring Kevin Hart and Nick Jonas that promotes responsible engagement, a PGA TOUR sweepstakes that promotes customer engagement with responsible engagement features, the launch of Gamalyze American Football in collaboration with Mindway AI, and new custom cool-off options that give customers enhanced flexibility when choosing a cool-off period. The initiatives build on DraftKings’ commitment to making responsible engagement an integral part of the customer experience and providing players with accessible tools and resources that help them make informed choices about their gaming experience. “At DraftKings, responsible engagement is embedded in how we operate and is essential to building trust with our customers and our long-term sustainability,” said Lori Kalani, Chief Responsible Gaming Officer at DraftKings. “We’ve continued to invest in tools and resources that give customers enhanced access to information about their play and more choices for managing how they engage. From My Budget Builder and My Stat Sheet to player-set limits and new custom cool-offs, we’re continuing to evolve our approach while promoting awareness and use of the tools and resources available to help customers play responsibly.” … DraftKings is launching a new digital advertising campaign featuring Kevin Hart and Nick Jonas that continues the pair’s road trip and promotes responsible engagement and awareness of the tools and resources available to help customers make informed choices about their gaming experience and engage responsibly. The campaign was initially launched on Sep. 10th and will reach customers through digital channels, bringing responsible engagement messaging to fans in an engaging way. bet365 Launches “The Matchup,” a New Weekly Video Podcast Hosted by Super Bowl Champions Chris Harris Jr. and Emmanuel Sanders (press release): "bet365, a global leader in online sports betting and gaming, today announced the launch of “The Matchup,” a new weekly video podcast hosted by former Super Bowl Champions Chris Harris Jr. and Emmanuel Sanders. Featuring current and former NFL players, the original series marks a significant, intentional investment in football as bet365 works to become a go-to destination for U.S. bettors throughout the season. “The Matchup” premieres September 10, with new episodes released weekly in both video and audio formats. Full episodes will be available on YouTube, Apple Podcasts, Spotify and wherever podcasts are available, with clips and additional content rolling out across YouTube, X, Instagram, Facebook, Threads, and TikTok. The show is being produced by Last Row Digital Media. Each week, Harris and Sanders will be joined by guests from across the game to break down the biggest NFL matchups, unpack the latest league news and share perspectives that go beyond the box score. By bringing together two former players with distinct perspectives and firsthand experience, “The Matchup” will give audiences timely context and a deeper understanding of the teams, players and storylines shaping the week ahead. “Every great football conversation starts with a matchup—who has the edge, what everyone is overlooking and what could change the game,” said Chris Harris Jr. “Emmanuel and I have experienced the game from different perspectives, and we want the audience to feel like they are part of the conversation and leave every episode knowing more about the week ahead.” Today’s iGaming companies face new litigation threats as expansive consumer protection statutes spark lawsuits with sky’s-the-limit aspirations, sometimes backed by private funders. Clients of Ifrah Law have a staunch defender in Robert Ward – an agile litigator and case tactician who responds to the changing state of play with creative legal defenses and efficient case-closing strategies. Robert draws on federal clerkship experience and appellate defense work to advise iGaming clients on litigation exposure, white-collar risk, and regulatory defense across multiple jurisdictions. Read More: Robert Ward on Helping iGaming Clients Outmaneuver Lawsuit-Obsessed Adversaries 🔮 Prediction markets Update on legal action in Connecticut: [ Daniel Wallach@WALLACHLEGAL Connecticut says gaming service license holders which received subpoenas over sports prediction markets “are not under investigation” by the @CTDCP but may possess information that could assist the state “in evaluating the conduct of prediction market platforms.” 2:31 PM · Sep 13, 2026 · 844 Views 5 Likes ](https://x.com/WALLACHLEGAL/status/2099143914271670576?s=20) American Gaming Association Opposes CFTC Bid to Block New York Prediction-Market Enforcement (DeFi Rate): “The brief points to the Ninth Circuit’s Aug. 28 decision in KalshiEX LLC v. Assad, which the AGA says supports New York’s authority to regulate sports contracts as gambling. It also cites Kalshi advertising, product comparisons and reporting on Kalshi’s sports volume to argue that the economic product resembles a sportsbook wager more than a conventional financial hedge.” [ Daniel Wallach@WALLACHLEGAL AGA intervenes in CFTC v. NY case to oppose CFTC request for preliminary injunction, says the CFTC’s arguments “obfuscate a simple truth: prediction markets offer sports betting.” Highlights CA9 decision, @DustinGouker (6x), and $1.32 billion in OSB taxes for NY (0 from PMs). Daniel Wallach @WALLACHLEGAL High stakes hearing on Monday in CFTC v. New York State. If SDNY judge Lorna Schofield denies the CFTC’s motion for preliminary injunction, the New York AG would have a clearer path for securing a state court geofencing order against Kalshi, Coinbase, and Gemini Titan. 2:08 AM · Sep 13, 2026 · 4.78K Views 1 Reply · 2 Reposts · 8 Likes ](https://x.com/WALLACHLEGAL/status/2098957043474280584?s=20) Gaming Commission remains member of gambling council after questions raised over ties to Kalshi (Mass Live): “The Massachusetts Gaming Commission will not follow the leads of gaming regulators in Ohio and Michigan and drop ties with the National Council on Problem Gambling over its new association with Kalshi.” Sponsor’s messageTrusted Voices: Conversations About Betting is designed to equip adults, including parents and coaches, with tools and resources to talk to young people about gambling, including information on warning signs, risks and proxy betting. The program is led by retired professional basketball player Randy Livingston and his wife, basketball agent Anita Smith, who share their personal stories related to problem gambling, with the hope of preventing others from experiencing similar harms. Learn more and join the conversation here. 📣 Industry news Gaming M&A: Latest Mergers, Acquisitions and Deals (SBC Americas): “But what else is happening in the world of gaming mergers, acquisitions, investments, and partnerships? Here, we round up some of the news you might have missed.” BetMGM Named Official Sports Betting and Online Casino Partner of the Minnesota Vikings in Canada (press release): BetMGM, a leading iGaming and sports betting operator, announced a multi-year partnership with the Minnesota Vikings, naming it the Official Sports Betting Partner and Online Casino Partner of the team in Canada. The agreement gives BetMGM rights to use Vikings marks across approved sports betting, online casino and marketing activities in Canada. In addition, Vikings Big Kick LuckyTap™, a casino game by Design Works Gaming, is available now exclusively at BetMGM Casino in Alberta and Ontario. “Vikings fans bring a level of passion and loyalty that extends well beyond game day,” said Matt Prevost, Chief Revenue Officer at BetMGM. “As the home of one of the largest collections of sports-themed casino content in North America, BetMGM is uniquely positioned to combine sports fandom with iGaming. We are eager to start football season off strong with another fantastic partnership especially as we expand our reach in Canada to Alberta.” Martin Nance, Minnesota Vikings Chief Marketing Officer, said, “As we continue to deepen our connection with Vikings fans across Canada, we’re proud to welcome BetMGM as the team’s official sports betting and online casino partner in Canada. Their commitment to innovation and fan engagement aligns well with our organization, and we’re excited to create memorable experiences that celebrate Vikings football and connect with Canadian fans in new and meaningful ways.” Caesars Entertainment Launches Ball Rush Jackpots™ in New Jersey,the Latest Proprietary Online Title from Empire Creative™ (press release): Caesars Entertainment, Inc. (NASDAQ: CZR) (“Caesars”) today announced the launch of Ball Rush Jackpots™, a new ball-and-peg style online casino game developed by Empire Creative™, the Company’s in-house game development studio. Now live in New Jersey across Caesars Palace Online Casino, Caesars Sportsbook & Casino and Horseshoe Online Casino, Ball Rush Jackpots is expected to become available in additional jurisdictions where Caesars offers online casino gaming following regulatory approval. The title expands Caesars’ growing portfolio of proprietary online casino titles, following the successful launch of Ca$hline™ earlier this year and further diversifying the Company’s lineup beyond traditional slots and table games. Ball Rush Jackpots follows the traditional ball-drop gameplay experience where players drop a ball down a board filled with pegs to land in a prize slot. As balls navigate independently through a field of pegs, every drop creates new opportunities to collect feature symbols, unlock bonuses and pursue jackpots, delivering a different experience with every round. “Ball Rush Jackpots delivers a different kind of casino experience for our players, combining easy-to-understand gameplay with meaningful customization, exciting bonus opportunities and jackpot potential,” said Matthew Sunderland, Senior Vice President and Chief iGaming Officer at Caesars Digital. “As we continue expanding our proprietary content portfolio, we’re focused on creating games that are simple to pick up, rewarding to revisit and designed around the features players enjoy most.” Bally’s Corporation Secures New Financing to Support the Development of the Bally’s Bronx Project (press release): Bally’s Corporation (NYSE: BALY) (“Bally’s” or the “Company”) announced today that it secured new financing led by WhiteHawk Capital Partners, LP to fund further development of the Bally’s Bronx project and general corporate purposes. The new financing comprises closing date term loan commitments in an aggregate principal amount of $400 million and delayed draw term loan commitments in an aggregate principal amount of $160 million (together, the “Facilities”). … Bally’s Chairman of the Board, Soo Kim, commented, “This important financing allows us to progress the pre-construction planning process so that we are ready to complete the remainder of the capital raise and remain on schedule. Furthermore, the additional liquidity provides us greater flexibility for other capital opportunities.” WORLD JAI ALAI LEAGUE LAUNCHES CENTENNIAL SEASON AND ENTERS NEXT CHAPTER IN MIAMI (press release): The World Jai Alai League will open its 2026 fall season on Tuesday, September 15 at Miami’s JAM Arena, beginning a milestone season that marks 100 years since professional Jai Alai first arrived in Miami. Season X, the tenth season of the Battle Court team-based competition launched in 2022, will also be the first since entrepreneur and sports asset investor Rob Gough acquired the World Jai Alai League in August 2026. The acquisition marks the beginning of a new chapter for the league. World Jai Alai League will maintain the existing Battle Court competition and operating format, with Chief Operating Officer Scott Savin overseeing Season X. Gough and his team will use the coming months to listen to players and fans, evaluate opportunities across the league, and execute plans for a broader evolution of Jai Alai’s presentation, live experience, media, marketing and commercial strategy beginning in 2027. “This is a really unique moment for Jai Alai,” said Rob Gough, Owner of the World Jai Alai League. “We have a sport with more than 100 years of history in Miami, extraordinary athletes and incredible speed, but I also believe there is enormous untapped potential.” bet365 reveals most popular online slots in 3 US states in August (SBC Americas): “In its monthly Gaming Insights and Performance report, growing online casino operator bet365 tracks player trends and game performance in online slots across its North American online casino markets.” The Closing Line is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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