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The Streaming Bubble Keeps Popping
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) One of my rules is “never bet against PE [private equity]”. This isn’t to say that I agree with their methods or tactics or strategies or financial innovations (aka shenanigans). Just that in the long arc of financial history, they’ve tended to return very good returns to their shareholders. That said, their forays into entertainment have left me...skeptical. I’ve written before about PE’s production company/celebrity production company roll ups, and those haven’t really worked out. Some PE groups tried to “roll up” an industry that isn’t “roll-up-able” for lack of a better term—since the barrier to entry for starting a production company is very low—often paying top dollar for celebrity production companies at the height of streaming valuations. So yeah maybe we can bet against PE when they venture into filmed entertainment. I’ve also noted that studio lots seemed to be a bubble back in 2022. Sure enough… Yikes! That sure sounds like some private equity guys lost some money. The only caveat being that holding a lot of land in Los Angeles is always valuable. But that wasn’t the pitch and likely real estate investment companies overpaid for said land. I mean, Goldman Sachs had to repossess it after all. (Technically, I’m not sure these buyers were traditional private equity, but PE was buying LA studio lots earlier this decade.) All to say: I call out bubbles when I see them, and they often pop. Anywho, my most famous bubble call was the “streaming bubble”, specifically that the major streamers were making too many shows and films. And that it could all come crashing down. Notably, I made this call before the strikes of 2023, but those strikes potentially accelerated the popping. And now it has indeed popped. One of my most popular articles of last year made that exact case. A year later, it’s time to update that analysis. The bottom line is that the streaming contraction continues. Credit where credit is due, Luminate—an analytics company whose data I use weekly in my streaming ratings report—called this out in a recent report I saw highlighted in both Bloomberg and The Hollywood Reporter. But I’m adding my data to their look, including streaming films and kids TV shows. I’ll also provide some other data that all tells the same picture. Let’s dive in! Subscribe The Number of Streaming TV Shows, Films and Specials Is Declining AGAIN in 2026 Let’s get right to the data, starting with my dataset. Specifically, each week I track every “notable” title to come out on streaming. I try to grab every title on every major streamer, meaning if it’s a first run or original or exclusive, I track it. This helps me call out the “dogs not barking” and the misses/flops each week. So that will be our first series of charts, my weekly collection data. Let’s start with the raw TV show, film and special data, by week. Note: As the years have gone by, I have actually added more sources (going from just one source to five sources) to find new titles, meaning that this data collection is, likely, more accurate now than in the past. Which means my team and I are more likely to have undercounted titles in the past rather than today. I like to cut the data several different ways. Here’s that same look, by quarter, to more sharply show the trends: And here’s the data just looking at the first half of each year. That’s the same data, just cut three different ways with three different time periods. Note that films, TV shows, and specials are all down by 25%, 42% and 17%, respectively, from 2022. The good news is that the number of films and specials actually increased year-over-year from 2025 to 2026, but not enough to offset the 25% decline in TV shows. Now, I also look at kids shows, and here they are pulled out on their own: And here’s that by quarter: This really seems to be a notable area of pullback by the streamers. Kids shows are down 80% from 2022. This reflects some formerly Disney+ shows going to cable TV first, but also pullbacks from HBO Max, Prime Video and Netflix. I also categorize the TV shows by English language and non-English language, and that also reveals a lot of where the drop comes from: And here is by the half-year: In this look, the good news is the drop for English language shows seems to have stabilized in the last year. But the bad news is the long term decline from the 2022 peak. Other Data So I wasn’t the only person to notice this decline in the number of shows. I have a few other data sources for this, though most only go through the end of 2025. As I said, Luminate beat me to the punch, so let’s look at their data. We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… What TV loss streaming didn’t make up for... How Netflix has changed their programming slate over time… Ten more images charting the decline of production... What type of films aren’t being made anymore... The good news (for movie theaters)… And more... ...please subscribe! We can only keep doing this great work with your support.
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The new "science golden age" looks suspiciously like a grift
This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.
After Hobbes vs Rousseau: Politics must move beyond human nature
Since the great debate between Hobbes and Rousseau, our political theory has been organised around a single question: is human nature essentially good or essentially corrupt? Graham Harman, the philosopher behind object-oriented ontology, argues that this is simply the wrong question to be asking. The real forces governing our collective fate - climate change, artificial intelligence, geography, and pandemics - are non-human; therefore, questions about human nature are not the central ones. Instead, Harman proposes a politics reorganised around our relationship to non-human objects and environments, in which quasi-government institutions incentivise and deter actions with the aim of extending the survival of the human race. “It is easier to imagine the end of the world than the end of capitalism.” This has become one of the most popular phrases among twenty-first-century intellectuals. Often misattributed to Fredric Jameson, it has been warmly embraced by such influential authors as Slavoj Žižek and the tragically departed Mark Fisher, and has fueled the notion that the major problem with the political Left is that it simply needs to become more speculative and creative. Naturally, this is never a bad idea in any human pursuit. But what if the political distinction between Left, Right, and Center itself results from a failure of imagination? SUGGESTED READING Hobbes vs Rousseau: are we inherently evil? By Robin Douglass This particular division has been with us only since the summer of 1789. During the simmering prelude to the French Revolution, it referred originally to the physical position in the National Assembly of radical figures on one side and loyal monarchists on the other. These positions are linked with two entirely different camps of modern political theory. On the Left we find a series of authors ranging from the moderate (Locke) to the supercharged (Rousseau) to the truly radical (Marx), all of them contending that exploitation of the many by the few justifies revolutionary overthrow of the existing order. On the Right they are countered by the likes of Machiavelli, Hobbes, and Schmitt, a group of thinkers convinced that corrupt human nature can be tamed only by force. In the words of the Nazi supporter Schmitt: “One could test all theories of nature and state and political ideas according to their anthropology and classify these as to whether they consciously or unconsciously presuppose [humans] to be by nature evil or by nature good.” This is the division we continue to face today, even in the daily retail politics of Western democracies.___Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims.___The most refreshing feature of David Graeber and David Wengrow’s 2021 book The Dawn of Everything: A New History of Humanity was their awareness that the forced choice between Rousseau and Hobbes (as they put it) is no longer sufficient. Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims. Far from being stationed “beyond good and evil,” we seem to be fully entangled with both. We are not naturally good or evil, Graeber and Wengrow contend, but naturally experimental and imaginative. They rest their case on the archaeological record, which seems to bear witness to numerous episodes of seasonally shifting governments and festivals, which vacillate in the same society (even in the same year) between the egalitarian and the dictatorial. Such praise of political experiment makes a good fit with the generally anarchist position defended by these authors. Yet it is also what I find most disappointing in their position. Although they are right that the forced choice between Hobbes and Rousseau falls short of what our new situation requires, the authors simply replace it with praise for the human being as a political tinkerer and performer. In other words, they give us just another theory of human nature, one that would not have been out of place in the sixteenth or seventeenth century. What other options might we have?___The time is ripe for a retheorization of politics on the basis of something other than human nature… We are not just alienated and limited by objects, but also empowered and unleashed by them___One fresh approach would be to treat politics within a broader framework than human nature, given that the polis does not exist in a vacuum filled exclusively with people. When Bruno Latour went to observe the baboons of Kenya with the San Diego anthropologist Shirley Strum, they jointly concluded that these primates were more socially interdependent than our own species. Each baboon is so reliant on the dynamics of the group that they find themselves locked into constant surveillance of their potentially dangerous peers. The group structure turns out to be inherently volatile. Humans, by contrast, are able to stabilize their societies to a large degree through the mediation of inanimate objects. Although one’s position in society may seem to fluctuate over time, considerable stability is produced through such items as apartment keys, wedding rings, and identification cards, all of them serving to secure us a place distinct from that of our fellows. The Italian philosopher Maurizio Ferraris has written at length about the crucial role of documents in establishing social relations, making him a hero among notaries in his country. Proper names and license plates cement our position amidst other humans, as do symbolic achievements such as graduation from a top university or distinguished wartime service with its various medals and ribbons. None of this is found among baboons, despite their closeness to us on the evolutionary tree: after all, we did share a common ancestor just 25 to 30 million years ago. SUGGESTED VIEWING The goodness paradox With Richard Wrangham The time is ripe for a retheorization of politics on the basis of something other than human nature, whether understood in the manner of the Left or of the Right. We are not just alienated and limited by objects, but also empowered and unleashed by them. But initially, it is true, we face non-human things primarily in the form of constraints. It would be difficult, perhaps impossible, to form a human civilization underwater, deep underground, atop Mount Everest, or in outer space. Human dependence on the non-social background takes on subtler form in discussions of political geography, especially unloved on the more idealistic Left. Consider the luckless position of Poland during World War II, sandwiched between Hitler on one side and Stalin on the other. By contrast, note the good fortune of the United States in not having a military peer positioned on any land border. Anglo-American geopolitics, since the writings of the American naval commander Alfred Thayer Mahan and the British geographer Sir Halford Mackinder, has been wedded to the notion that one or more liberal offshore naval powers should prevent any authoritarian “heartland” regime from gaining effective control of Eurasia. That remains the case whether the opponent is the impatient Napoleon, the swashbuckling German Kaiser, the villainous Hitler, the murderous Stalin, or the industrial juggernaut Chinese. In their current Foreign Affairs article “Heartland vs. Rimland,” Michael Beckley and Hal Brands analyze the current and coming state of the world on the basis of these same rather durable principles. In recent years a similar outlook has been embraced, in inverted form, by the Putin-loving Russian philosopher Aleksandr Dugin, an icon of the Rightist intellectual underworld. For Dugin, the Anglo-Saxons are an evil force bent on destroying the spiritually superior people of the land: much like Athens in its failed war with Sparta, or Carthage in its eventual collapse against Rome. But the shared notion on both sides is that any strategy that fails to take geography into account is likely to end up as a defeated form of excessive optimism.___When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole.___More striking for us today than geography is the non-human object called climate, which threatens rimland and heartland equally. Even if we contend that humans are one hundred percent responsible for triggering the climate crisis, it remains non-human in the sense of being an independent force beyond our effective control. In a major work published just before his death in 2002, The Structure of Evolutionary Theory, the American paleontologist Stephen Jay Gould noted the tendency of evolutionary theorists to focus too closely on the fate of individuals in view of their successful or failed adaptation to circumstances. With climate change, however, we confront a force that goes well beyond the scope of any individual life. Whereas Richard Dawkins extended evolutionary questions downward from individuals to the sub-individual gene, Gould pushed it upward, speaking of entire species or clades as impacted by environmental change. The asteroid that struck the Yucatán 66 million years ago is only the most famous example of this sort. In the wake of that catastrophe, large animals needing abundant supplies of food were at a fatal disadvantage by contrast with the smaller birds and mammals of the planet. When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole. The effect is to shift our attention away from individual beings towards the survival of the group.In the United States in particular, the COVID-19 pandemic sparked considerable backlash among those who asserted a nearly absolute degree of individual freedom. In California I encountered those who demanded that their businesses be allowed to reopen, that it was enough to cover their mouths but not their noses, or that they should have the right to enter any public area despite refusing vaccination. Yet public health is probably the clearest argument against libertarianism, which often merely asserts the autonomy of individuals against any claims of the commons. In normal times the individual is worth defending; under conditions that threaten the survival of part or all of our species, compulsion may be our only resort, as with perfectly reasonable blackouts and rations in wartime. To rebuild human society under the constraints of climate change will be one of the great challenges of the century to come, as will our improvised grappling with artificial intelligence. Such phenomena pose existential risks for humanity, and leave far less room for tolerance of individual brattiness. Cases are mounting of devastating wildfires caused by arson. Recently it was reported that there is even a website where one can bet on the location of coming wildfires, raising the specter of deliberate blazes set to collect on wagers. The death penalty has steadily lost support in a world where many stress the infinite value of human life. But if we focus instead on entire ecosystems, those who purposely burn the forests may begin to look worse than serial murderers.___The politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere.___So far I have spoken of force, authority, and punishment: measures sure to have greater appeal to those who identify with what we know as the Right. But other implications of the post-anthropocentric world are likely to have different backers. If non-human objects are seen as structuring political space, it stands to reason that they can no longer be introduced solely by the pace of technical breakthrough. Fields ranging from cybernetics to energy will demand increased politicization once they are reconceived not just as products of individual human investment, but as renovations of collective political geography. This need not involve world government, with its inherent risk of tyranny, but may involve quasi-governmental enforcers of prestige along the lines of a less corrupt FIFA or International Olympic Committee, punishing deviant states not with violence but with less tangible incentives.Politics will never lose its historic links with conflict and faction. But rather than factions aligned by differing theories of human nature, the politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere. This will prove just as incommensurable with the modern Left/Right spectrum as a globe is with a two-dimensional map.
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The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
Beyond Content Creation: How Wizstar Helps Enterprises Scale AI Across Business
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