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Divided nation: Republicans prize patriotism, Democrats equality-Poll
As crucial midterms loom, a Gallup/With Honor survey found no consensus that basic American values are shared across party and other lines.
Nicki Minaj pledges to support Donald Trump again during Michigan Republican campaign rally
Nicki Minaj told President Donald Trump she would support him forever at a Michigan rally backing Mike Rogers and John James in the midterms.
Frisco Muslims vote in Texas midterms marked by anti-Islam rhetoric
Texas politicians have campaigned on banning Shariah this cycle. Muslim voters are encouraging their fellow believers to get involved in politics.
How the conservative Supreme Court has rewritten the rules for the midterms
Voters will pick the winners of next month’s midterm elections, but it is the conservative Supreme Court that has set the rules.
Maliek Collins agrees to terms on contract extension
Maliek Collins to remain in Cleveland for two additional years
I'm 62 and refuse to dress or act my age
Lonni Pike got sober at 51 and reinvented her life. Now 62, she's a fashion influencer, gamer, and advocate for aging on her own terms.
Politics chat: The polls show a Democratic sweep in the midterms. Can you trust them?
If you look at the few truly competitive seats, polls show a more complicated picture of momentum toward the Democratic Party in midterm House races. For the Senate, Republicans are on defense.
Chicago Bears stadium becomes a political game as midterms near. Can it score for Republicans?
The saga over where the future home of the Chicago Bears has become about more than just sports. For Republicans, and GOP governor nominee Darren Bailey in particular, it represents a political Hail Mary to find a subject that captivates…
The educational divide could spell trouble for Republicans
Republicans tend to run better among voters without a college degree than those with one, which has battered Democrats in recent presidential elections. But that same pattern could give Democrats a potentially decisive boost in next month’s midterms.
‘Talking to every single person matters’: ‘prairie populists’ canvass the rural US heartland to win in midterms
Democratic and independent candidates stump the US midwest and prairie states, hoping to win over Republican strongholds
Why partisan politics may be changing people's accents
With the midterms fast approaching, communicating just the right message has been top of mind on all sides of the political aisle
Democrats Have Edge Across Four Key House Races in Pennsylvania, Polls Find
Democratic candidates are ahead in two, hold a narrow edge in a third and are tied in a fourth, new polling shows. The seats embody the fights playing out nationwide in the midterms.
In Arkansas, Democrats see an opening at the edge of the competitive midterms map
In a sign of the potentially dire midterm political environment, Republicans have spent millions of dollars playing defense in Arkansas, one of the most conservative states in the country.
Economic woes transform the Midwest into a massive midterms battleground
Democrats could be poised for a revival in the heartland, as furor over high costs and doubt about President Donald Trump’s willingness to change the nation’s trajectory threaten to loosen the GOP’s grip on working-class voters.
Small businesses struggling with inflation amid Trump tariffs ahead of midterms
How data centers became a bipartisan political issue in Wisconsin
Data centers are a big issue across the country. As midterms approach, many look to the swing state of Wisconsin for lessons for how that issue could play out nationally.
AOC can draw a crowd, but the midterms will test whether her politics can win before 2028
WASHINGTON — Alexandria Ocasio-Cortez has had little trouble drawing a crowd. In a final campaign swing with progressive candidates across the country,...
AOC can draw a crowd. The midterms will test whether her politics can win before 2028
WASHINGTON (AP) — Alexandria Ocasio-Cortez has had little trouble drawing a crowd. In a final campaign swing with progressive candidates across the country, the
AOC can draw a crowd. The midterms will test whether her politics can win before 2028
WASHINGTON (AP) — Alexandria Ocasio-Cortez has had little trouble drawing a crowd.
AOC can draw a crowd. The midterms will test whether her politics can win before 2028
Alexandria Ocasio-Cortez is drawing big crowds as she campaigns for progressive Democrats before the Nov. 3 election.
AOC can draw a crowd. The midterms will test whether her politics can win before 2028
Alexandria Ocasio-Cortez is drawing big crowds as she campaigns for progressive Democrats before the Nov. 3 election. Supporters have packed rooms and chanted her name during appearances that have taken
AOC can draw a crowd. The midterms will test whether her politics can win before 2028
WASHINGTON (AP) — Alexandria Ocasio-Cortez has had little trouble drawing a crowd.
Epstein files take back seat in midterms but experts say issue has not gone away
Other voter concerns have prevailed but return of Congress likely to see renewed focus on late sex offender’s activities
Political science professor speaks on impact of Harris-Colom rally
A professor said high-profile supporters may motivate voters ahead of midterms.
Texas Midterms: Who’s Winning the Battle for Voters?
Co-hosts Brandon Rottinghaus and Jeronimo Cortina delve into the latest news in politics
The impact of 'AI' on political ads
Host and the Panel discuss a myriad of topics leading up to the midterms. Topics included Pennsylvania as the quintessential 'purple state'; how the races in the collar counties are leaning, fostering voter engagement and how 'AI' is changing the game in the political advertising.
DOJ has monitored elections for decades. Here’s why some state officials are concerned this year
The agency regularly monitors polling places. But this year’s effort on Nov. 3 will more than double the number of federal monitors deployed during the 2022 midterms.
Senator says planned Meta commercial terms update could harm US businesses
WASHINGTON, Oct 23 (Reuters) - US Senator Marsha Blackburn, a Tennessee Republican, on Friday raised concerns about Facebook parent Meta Platforms' plan to update its commercial terms, saying it coul...
In the 2026 midterms, here’s how NC politicians do — or don’t
Hurricane Helene and the economic troubles it left behind influence what politicians say on the campaign trail.
Now Google says it might use your Gmail and Google Photos data to target ads
According to the new terms, sharing your data for better AI recommendations also means opening it up for more personalized ads.
Supreme Court allows New Hampshire to fully ban student IDs for voting in midterms
The Supreme Court cleared the way Thursday for New Hampshire to fully ban the use of student IDs for voting during the midterm elections.
‘People are busy trying to survive’: Wood County residents share concerns ahead of the midterms
Ahead of the midterms, Wood County residents discuss job losses, education, political apathy and what they want from elected leaders.
Meta delays new business terms after publisher pushback on AI scraping
Legal experts argued that Meta’s changes weren’t enough to rule out AI scraping.
Poll: Low-information voters have turned hardest against Trump and the GOP
In 2024, the voters who knew the least about politics were some of Donald Trump’s strongest supporters. A Data for Progress poll released just before the election found Americans who didn’t consume any news at all said they’d vote for Trump over Kamala Harris by a 20-point margin, 60%1 to 40%. In February, we reported that many of these voters had soured on Trump. Voters who couldn’t name the party in control of Congress moved away from Trump at about twice the rate as high-information voters. But approval isn’t vote choice. With the midterms less than two weeks away, it is worth asking if these voters are turning against the president’s party in federal elections, too. In our October Strength In Numbers/Verasight poll, conducted Oct. 13–19 among 2,028 U.S. adults, we asked respondents two factual questions about politics: which party has the most members in the House, and which has the most members in the Senate. I classified anyone who got at least one of these questions wrong as “low-knowledge.” About 30% of adults miss at least one question, including 25% of 2024 Trump voters, 22% of Harris voters, and more than half of people who didn’t vote in 2024. In this article, I do two things with this data. First, I repeat my February analysis and compare how these two groups feel about Trump’s job as president; then I look at each group’s voting behavior in the upcoming House midterms. Register for free to read the rest of this piece.
Green’s funding lags in CD9 race, even with $1.8M loan to himself
President Donald Trump’s fundraising committee gave nearly a third of a million dollars to the Republican candidate ahead of the 2026 midterms.
What will Trump do if Republicans lose the midterms?
Jonathan Freedland and Guardian US columnist Moira Donegan answer your questions about the midterms.
‘Voting is medicine’: These health professionals want you to vote in the midterms » Yale Climate Connections
Physician Cynthia Mahoney says voting is a powerful prescription for health.
Hispanic voters helped bring Trump to power - in Texas, the tide may be turning
Recent polls suggest the president is facing challenging headwinds in the state ahead of the midterms.
Politics in 'materialist terms': Gen Z in Albania, Italy, France and India protesting for 'fairness'
Climate group pours in midterms money for Democrats
The League of Conservation announced more than $100 million to support Democrats going into the midterms.
Opinion: One man's story of supporting the wrong side — and how it applies to the Kansas midterms
Opinion from Eric Thomas: Manchester City’s monumental soccer deception contains a lesson in blind allegiance — my blind allegiance — but also a lesson about what happens when that irrational loyalty breaks.
Trump cuts have hurt Mass. research labs. Scientists hope midterms can ease the pain
Under the second Trump administration, Massachusetts scientists have lost billions in funding, and curtailed more than a dozen clinical trials in the state. Ahead of the midterms, many scientists hope a new Congress will restore stability to federal support and get grant money out the door.
Gene editing scientists slowed down for safety. Could AI leaders follow their guide?
Some of the leaders of the AI race are calling for a slowdown, for safety's sake. Viewed in economics terms, it's a collective action problem: no one wants to slow down unless everyone does.
Judge limits election-related immigration stops amid broader legal war ahead of midterms
An unprecedented election war is playing out between the Trump administration and California in federal court, with a slate of cases proceeding at breakneck speed ahead of the Nov. 3 election.
The 2026 election could reshape healthcare
Why everyone who cares about healthcare reform should vote in the midterms.
Employer Political Activity During the 2026 Midterms: Key FAQs
As the 2026 midterm elections approach, employers may have questions about whether (and how) they can support candidates or political positions. This FAQ addresses common questions about company political activity, communications with employees, mandatory political meetings, and political contributions.
Analysis | The top issues in the midterms
Corruption, health care and AI are among concerns driving voters besides affordability.
How well have past GOTY winners sold?
We’re less than two months away from 2026’s The Game Awards, and what a year it’s been for fantastic games, including Resident Evil Requiem, Forza Horizon 6, Slay the Spire II, the Blood of Dawnwalker, and Control Resonant – just to name a few. So as we approach the end of the year, we thought we’d look back on our estimates for the GOTY winners of the past four years. In terms of revenue, Elden Ring (2022 winner), Baldur’s Gate 3 (2023), Astro Bot (2024), and Expedition 33 (2025) have generated a combined $3.8B via 73M copies sold: Let’s have a look, then. Elden Ring has generated $2B in revenue Elden Ring is a phenomenon in every sense. It’s sold a whopping 36.4M copies across Steam (50%), PS5 (35%), and Xbox (15% across console and PC). Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring also just passed an astronomical milestone: $2B in revenue. While PlayStation and Xbox account for half of Elden Ring’s copies sold across these three platforms, they account for 57.5% of revenue. This – as ever – is due to regional pricing and the higher relative share of PC gamers in lower-priced markets. For example, around 17.4% of Elden Ring’s Steam copies sold were in China, where the game costs about 26% less than the price in the States. There’s an … interesting narrative going around these days that console gamers are only interested in ball-and-gun games and have the patience for little else. Well, Elden Ring’s impressive sales prove that is simply not true, and across all platforms. What’s more, over 9.8M people have played Elden Ring for over 100 hours, with nearly 3.5M people getting all of the achievements and trophies. For reference, 10.9% of Elden Ring’s PlayStation players have the platinum trophy, while 10.5% of players on Steam and 3.9% of Xbox players unlocked all the achievements. Git gud, Xbox players! Of the 1.5M people who played Elden Ring on PlayStation last month, 4% also played Dark Souls 3 last month, 4% played Bloodborne, and 3% played Sekiro. There’s those Soulsborne diehards for you. By many accounts, including my own, Elden Ring is one of the best games of all time. It’s an evergreen seller that will continue to be a cash cow for Bandai and FromSoftware for years to come. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring has sold another 2M copies across Steam, PlayStation, and Xbox this year, generating almost $110M. This means it’s outperforming many of this year’s high-profile releases. Even Elden Ring’s standalone run-based PvE spinoff, 2025’s Nightreign, has sold 7.8M copies and generated $282M in revenue. Baldur’s Gate 3 is another billion-dollar-plus banger Another cross-platform phenomenon is Baldur’s Gate 3, which has sold 23.2M copies and generated over $1.2B in revenue. About 18.7M of these copies (80.6%) are via Steam, 2.9M via PS5 (12.7%), and 1.6M (6.8%) via Xbox. Around 1.3M folks on Steam bought BG3 before it hit 1.0. The PlayStation version launched about a month after the PC 1.0 release, while the Xbox version came four months later due to technical issues around developing local co-op on the Series S. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Across platforms, Baldur’s Gate 3’s monthly active users have never dropped below 2M, including 2.2M MAUs last month (68.5% on Steam, 21.9% on PS5, and 9.6% on Xbox). And it still regularly brings in 280K to 400K players every day: About 1% of BG3’s Steam player base has played for over 500 hours! That’s a little under 200K people. Astro Bot is also an evergreen seller, albeit a more niche, family one Astro Bot, 2024’s winner, has now sold 4.7M copies and generated $291M in revenue. The budget, including marketing, is almost certainly under $100M, given the small Japan-based core team and three-year dev timeline. You can really see why the tides are changing toward less expensive hubs. Astro Bot is the only first-party winner on this list, but follows other first-party winners of The Last of Us Part II (2020’s winner), God of War (2018), and Breath of the Wild (2017). Around 46.6% of Astro Bot’s copies sold have been physical, which is far higher than the typical game. This makes sense for a couple of reasons: There’s a large family audience for this one, and physical boxes are an item to wrap when giving Astro as a gift. Astro has collector value for the PlayStation core (this is nostalgia-fueled platformer celebrating PlayStation’s history) Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Astro is another one of those games that continues selling over time, regularly selling more than 100K a month. It’s sold around 1M more copies this year ($60M in revenue) and is a popular title with families. We can see this using the Alinea platform’s MAU crossover tool: Astro Bot’s top #2, #3, and #4 games by crossover in any given month this year are Minecraft, Fortnite, and Roblox – without fail. The #1 title every month, though, is Astro’s Playroom, a pack-in with all PS5 consoles. For every month this year, between 20% and 30% of Astro Bot players also played Astro’s Playroom that month. So the free pack-in is a noice funnel for converting players to a full paid product. Expedition 33 sells 8.7M despite Game Pass cannibalisation Finally, we have last year’s winner – Expedition 33. The turn-based-RPG banger has generated $366M via 8.7M copies sold, with 58.8% on Steam, 35.7% on PS5, and 5.5% on Xbox. Xbox’s share of copies sold is this low due to Expedition 33 launching on Game Pass, where 4.3M people across console and PC accessed the game. A little under 700K Xbox players used their subscription to play Expedition 33 this year. That said, the game’s 1.5-year Game Pass deal ended last week on October 16, and we’re already beginning to see a positive trend on Expedition 33’s copies sold via Xbox (but the jury’s still out!). There’s understandably a lot of French pride behind this one, as France is the game’s #3 market on both Steam and PlayStation. Vive la France! One thing that stood out to me is that the GOTY winners aren’t $300M Hollywood productions made in the US. They’re mostly mid-budget studios outside the traditional AAA cost centres. Lots to think about there. Also, good games sell well; who’d have thunk it!? And there’s a whole load of them this year, with GTA 6 still to come, too. GTA just made the cutoff point for the VGAs this year. What a coincidence! Loading... Cool links and other stuff Our physical games newsletter from Tuesday was picked up by GameSpot, Eurogamer, TweakTown, and a bunch of others. We’re offering a free trial of our platform for games companies. Send us a message here, or reply right here on Substack/email, and we’ll set you up. Next week, we’ve got some exciting news regarding the future of our newsletter, so stay tuned! The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. Want to see why these companies (and many others) are subscribed to Alinea? Get a free platform trial! [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Coast Business Council details changes and future plans
The Gulf Coast Business Council meeting provided changes as well as a look into the area's future in terms of economic development.
Coast Business Council details changes and future plans
The Gulf Coast Business Council meeting provided changes as well as a look into the area's future in terms of economic development.
Welcome to Strands: Sports Edition, The Athletic’s newest daily game
Strands: Sports Edition, our newest daily game, asks you to find hidden sports-themed terms in a grid.
The top 10 Senate seats most likely to flip, less than two weeks before the midterms
With the November election in sight, Democratic excitement about the party winning control of the US Senate is running high, but it’s far from a sure bet.
AI as the next political divide
We have a guest post today from our friends at Focaldata, with whom we have done polling before. They have been doing a lot of work on attitudes towards AI and how this is affecting politics on both sides of the Atlantic. In this post, they explore exclusive new polling – with a whole set of fascinating charts on how voters’ views are developing and why. In particular, the authors explore why the debate is currently so much more polarised by party in the US than in the UK, to the benefit of the Democrats. Subscribe Focaldata HQ is located in Shoreditch, east London. To access the office from the Shoreditch High Street Overground station, you have to walk under the bridge at Braithwaite Street. We mention this not as a navigational aid, but because the posters above caught our eye over the summer. Since June, the area has been the centre of a fiercely contested debate around the construction of a data centre on the Truman Brewery estate on Brick Lane, less than 200 metres from our office. It was one of the first ‘US-style’ protest movements around AI data centres the country has seen, and may not be the last. These protests served as the catalyst for our forthcoming report, examining whether AI could become the next political divide on both sides of the Atlantic. We wanted to understand what was driving the emerging politics of AI and whether the dynamics at play in the US offer clues as to how the British debate will evolve. Over the last month, we polled 3,851 people across the UK and US about their views on AI. Our research found striking similarities between the two countries: for instance, both electorates are evenly split on their views towards AI development, with just over a third in favour (37% in each country), a similar number opposed, and the remainder somewhere in the middle or unsure. Statistically speaking, there is no difference in overall sentiment towards AI between the UK and US. Under the hood, demographic patterns also look largely the same in the two countries, with millennials, degree holders, full-time workers and those who describe themselves as financially comfortable more pro-AI than the rest of the country. Despite this convergence in overall attitudes, there is a striking divergence in how much of a politicised issue AI has become. In the US, attitudes are increasingly split by political affiliation and the issue has become the latest front in the seemingly interminable culture war, playing a role in the upcoming midterms. This stark political polarisation of AI has not happened in the UK – at least not yet. In what follows, we test several hypotheses for why the two countries are so far apart on a political basis. Understanding which hypothesis is correct will give us an indication of where the British dynamics go next.
Midterms and Iran: Congress could change hands, but Trump would still control the war
On January 10, 2007, President George W. Bush announced a surge of tens of thousands of additional troops to Iraq — among the least popular decisions of his presidency. As a senior adviser, I watched from National Security Adviser Stephen Hadley’s West Wing office.
Trump rally gets rowdy with at least 12 protesters removed
A South Carolina rally was continuously disrupted by protesters as President Donald Trump tried to shore up support for Republicans ahead of the midterms. CNN’s Alayna Treene reports.
Campus political groups engage the student vote ahead of midterms
The UNC Young Democrats, UNC College Republicans and You Can Vote UNC are encouraging voter engagement across campus.
A company says its polls were fake. Here’s what happened
A national polling organization revealed on Tuesday that the vast majority of its data had been fabricated, saying it was an “experimental project to demonstrate the vulnerabilities" of the modern political polling industry.
George W. Bush’s Brother Neil Bush Breaks G.O.P. Ranks to Vote for James Talarico in Texas
Neil M. Bush, a brother of former President George W. Bush, expressed “deep concern about Ken Paxton’s record” and said he voted for James Talarico, the Democrat running for Senate in Texas.
Here Are 7 Key Governor Races to Watch in the Midterms
Ohio, Alaska, and Texas could elect their first Democratic governors in decades. Republicans also have a shot at flipping a state's top executive.
Trump’s fixation on transactional politics becomes an election season scandal
In state after state, the president keeps telling voters that he could deliver for them, but if he’s not satisfied with the midterms, he won’t bother.
Top Democrats join California immigrant, Nevada group to sue over federal election probes
The lawsuit accuses Trump and his administration of using “shoddily compiled lists of supposed noncitizens” and “coercive threats" against state officials to assert federal control over the midterms.
Guns, Taxes and Traffic Cameras: The Midterm Ballot Measures to Watch
Not every closely watched contest in this year’s midterms is about candidates. Some will ask voters directly about the issues. In 39 states, voters will weigh ballot measures, including questions placed by legislators and others lodged by members of the public who gathered a sufficient number of ...
Midterm Election Update: Medicaid Changes
Major federal changes to Medicaid eligibility and financing from the 2025 reconciliation law are coming, including new work requirements that will affect millions of Medicaid enrollees. KFF’s fact sheet provides an overview of what has changed, what is still ahead, and what the public thinks about Medicaid heading into the midterms.
The 2026 midterms are less than 2 weeks away. Which party has a better chance of winning? Here's what the latest polls say.
Trump's approval rating is going down. Democrats' lead on the generic ballot is going up. Could this be a "wave" election?
In this Florida district, politicians battle over who most loves Israel
Singer criticized Moskowitz for not doing enough to back the Iran war at a synagogue debate ahead of the Nov. 3 midterms.
Trump Approval Hits New Low Two Weeks Before Midterms, Poll Finds
Likely voters favored Democratic candidates over Republicans by 11 percentage points in their congressional district, a New York Times/Siena poll found.
You are who you vote for: Identity politics in Texas midterms
While the campaigns in Texas have been focused fundamentally on the affordability crisis, the Texas Senate race between Republican Ken Paxton and Democrat James Talarico remains highly contested due to the engagement of identity politics from both candidates.
Ahead of Midterms, Justice Kagan Says Rulings Have Intensified Polarization
The justice said during a discussion that recent Supreme Court decisions on voting rights, gerrymandering and campaign finance have deepened America’s divides.
White House officials fear a post-midterms Trump rampage
President Donald Trump still has two weeks to salvage his Republican congressional majorities and defy expectations of a midterm wipeout. But all around him, aides and allies are bracing for what happens if he fails. CNN’s Kristen Holmes reports.
How to Vote in the 2026 Midterms: A State-by-State Guide
Early voting is underway in many states ahead of the 2026 midterm elections. While the general election is on Tuesday, Nov. 3, millions of people have already cast their ballots. Because states run the federal elections, voter registration deadlines, early voting schedules and absentee ballot rules ...
Fears of a post-midterms Trump rampage spur ‘brutal’ internal jockeying
President Donald Trump still has two weeks to salvage his Republican congressional majorities and defy expectations of a midterm wipeout. But all around him, aides and allies are bracing for what happens if he fails.
Healthcare on the trail in Arizona
The signature Republican reconciliation bill is playing a starring role in Arizona Democratic messaging two weeks out from the midterms.
How governments worldwide are shaping what AI can say about politics
With the U.S. midterms approaching, about one in five voters has asked AI chatbots about elections and politics, a recent survey found.
Michigan Senate Candidates Make Dueling Pitches to Business Leaders in Detroit
Mike Rogers and Dr. Abdul El-Sayed, the candidates in the tight race, defended their economic policies at the Detroit Economic Club.
Chandler family acquires specialty truck manufacturer
Springdale business owners Chris and Morgan Chandler recently acquired Stephenson Specialty Trucks LLC, a Parsons, Kan.-based manufacturer of vacuum, grapple, roll-off and hook lift trucks. Financial terms of the deal...
Chandler family acquires specialty truck manufacturer
Springdale business owners Chris and Morgan Chandler recently acquired Stephenson Specialty Trucks LLC, a Parsons, Kan.-based manufacturer of vacuum, grapple, roll-off and hook lift trucks. Financial terms of the deal...
Mike Bloomberg starts spending blitz to help Democrats retake the House
Former New York mayor Mike Bloomberg, a Democratic megadonor, has poured more than $80 million into the midterms over the last two months.
WA leaders push back as federal health cuts threaten millions
Washington lawmakers warn that federal health cuts could cost hospitals billions and hike premiums, drawing debate ahead of the midterms.
Trump says his political operation is spending $400 million on midterms
The spending includes ads, rallies, get-out-the-vote efforts and election monitoring.
White House pitches $8 billion to farmers as midterms near
The aid comes as Republicans struggle electorally in previously reliable agricultural states.
Longtime Meta policy head Joel Kaplan is leaving
Joel Kaplan, Meta's chief global affairs officer and a key bridge to Trump, will leave after the midterms and a transition period.
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.
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