D.A.D. joke of the day: My boss told me I need to be more prompt. So I spent three hours perfecting my ChatGPT question. Now I'm late for everything.
The week's biggest AI developments — and why they matter — drawn from each daily edition, October 26–31. Regular daily editions resume Monday.
Monday, October 26
Creative Industries Lost 200,000 Jobs in Four Years, AI Likely a Factor
AI & Jobs Copyright & Creators
US arts and media employment has fallen by more than 200,000 jobs since mid-2022, to about 1.2 million, with roughly 50,000 lost in the past year, economics writer Joseph Politano calculates from Bureau of Labor Statistics data on his Apricitas blog. For scale, the whole US economy added only about 45,000 jobs a month over the past year. Nearly half the losses are in film, TV and sound recording, where employment is down more than 30%, near a 30-year low. The telling pattern: since ChatGPT launched, every digital creative field, from graphic design to publishing, has shrunk, while in-person arts like museums and live performance keep growing. Politano says AI's exact share is hard to prove, partly because studios are cagey about using it, and because Hollywood consolidation, production moving overseas and the rise of social-media creators are hitting at the same time.
Why it matters: Arts jobs are a small slice of the economy, but Politano sees them as a preview for larger "creative-adjacent" white-collar work. Tech, where coding agents are spreading fastest, is in its longest hiring slump on record. His worst case for media is what the internet did to newspapers, whose payrolls are down nearly 85%. He also argues the big AI labs see little money in art itself: Anthropic has largely stayed out of image, video and music generation, and OpenAI abandoned its Sora video app, leaving AI art mostly to smaller players. But he cautions that technology's effects are hard to predict: book sales have jumped 70% in six years, thanks to TikTok. Richard Florida, who coined the term "creative class," has questioned the numbers.
Discuss on Hacker News · Source: apricitas.io
AI Reads 120,000 Earnings Calls to Forecast the Economy
Finance & Banking AI Adoption OpenAI
Economists at Georgia State, Purdue and the Rochester Institute of Technology used OpenAI's GPT-5 mini to read more than 120,000 corporate earnings-call transcripts from 5,513 companies, pulling out what executives said about the US economy and scoring how optimistic they sounded. The resulting "AI Economy Score" predicted GDP growth, employment, production and wages five or more quarters ahead, adding information that existing economist surveys and standard forecasting measures missed. Scores built for individual industries predicted growth up to four years out. The signal was strongest from executives with a track record of accurate, less-biased forecasts, suggesting they know something the data doesn't yet show.
Why it matters: Public companies employ nearly 30% of US workers, and surveying their managers is slow and costly. If AI can turn routine disclosures into an early-warning system, investors, central banks and businesses get a cheap new read on where the economy is heading. The caveat: it's a working paper that hasn't been peer-reviewed.
Tuesday, October 27
Anthropic's IPO Puts the AI Boom on Trial in Public
The AI boom is about to become everybody's bet. Anthropic, a company founded five years ago by researchers who left OpenAI over safety, filed to go public on Monday, and media reports say it is seeking a valuation of $1.5 trillion to $2 trillion, potentially topping SpaceX's record-setting debut in June. Once it lists on the Nasdaq as "ANT," likely by Thanksgiving week, pension funds, index funds and ordinary savers will hold a stake in a frontier AI lab, and in the wager behind it. The numbers explain the excitement: $16.3 billion in revenue in the first half of 2026, nearly 15 times a year earlier, with existing business customers spending about nine times more. They also explain the anxiety. Anthropic has committed up to $567 billion to computing power, some of it owed whether or not it gets used, CNBC reports, and it tells investors plainly that "our losses will continue."
Sources: Anthropic · Fortune · Fortune (compute) · SEC filing · Axios · CNBC · Bloomberg
Why it matters: The 300-plus-page filing devotes 94 pages to what could go wrong, and they read like a map of how an AI bubble could burst. Demand could slip: any decline from competition or "pricing pressure," Anthropic warns, would hit revenue and profitability directly, just as prices are already falling (D.A.D., October 26). Five customers supply about a quarter of revenue, and nearly half flows through Amazon, Google and Microsoft, which are also rivals. Washington could target it for its safety advocacy, Axios reports. And the technology itself could, the filing says, pose "catastrophic or existential risks to humanity." Markets are already jittery: data-center providers CoreWeave and Nebius have lost more than 30% of their value this month, and at the reported valuation, investors would be paying 22 to 30 times Anthropic's revenue. If Anthropic grows into its spending, it validates the trillions flowing into AI. If it stumbles, the losses will no longer stay with venture funds and tech giants; they'll show up in retirement accounts, in an economy where AI spending is already a big enough force that the Fed's Austan Goolsbee calls it an inflation problem (D.A.D., October 15).
Goldman: AI's Drag on Jobs Is Now Statistically Significant
Yesterday we asked whether creative jobs are AI's canary in the coal mine (D.A.D., October 26). Today, the bigger picture. Since ChatGPT launched nearly four years ago, economists have hunted for proof that AI is costing jobs, and mostly come up short. Yale's Budget Lab found no discernible disruption to the broader labor market as of last fall. Stanford researchers found a sharper signal, but only for young workers: employment for 22- to 25-year-olds in the most AI-exposed jobs now runs about 19% below where it would otherwise be, while finding no economy-wide displacement. Goldman Sachs now sees the effect spreading. Across US industries outside manufacturing, the more firms use AI in regular work, the higher their unemployment and the weaker their job growth, and both links are now statistically significant, Goldman found, Fortune reports. As recently as its September 1 report, Goldman called the job-growth link not statistically significant. The scale is still small: Goldman economist Joseph Briggs estimated jobs in the most AI-exposed industries ran about 10,000 below trend over three months, largely offset by hiring to build data centers. But he noted that technology-driven layoffs have historically bunched up in recessions, Fortune reported. AI is squeezing jobs another way, too: Microsoft has offered voluntary buyouts to about 60,000 employees, more than a quarter of its workforce, as it works to contain costs while pouring money into AI, Business Insider first reported and Reuters confirmed. Microsoft says the offer isn't a sign it needs fewer people.
Sources: Fortune · Fortune (Briggs note) · Goldman Sachs, Sept. 1 report · Stanford Digital Economy Lab · Brookings · Reuters via CBC News (Microsoft) · Business Insider (Microsoft memo) · Carl Quintanilla (CNBC) on X
Why it matters: The debate over AI and jobs has run largely on predictions and anecdotes. Hard evidence is starting to arrive, first among young workers, then in creative industries, and now, by Goldman's measure, across a wider swath of the service economy. It's still a correlation, not proof of cause, and the numbers are modest. But Goldman's recession point is the one to watch: the bigger reckoning may come all at once, the next time the economy turns down.
Wednesday, October 28
One Founder, Claude and 11 Labs: Anthropic Buys a One-Person Drug Company
Health & Medicine Science & Discovery AI Business & Money Anthropic
Anthropic has bought Mithril Medicine, a drug startup with one full-time employee. Founder Cody Tranbarger used Claude to run contracts, logistics and experiments with 11 outside labs, and handed Claude much of the rest of the company's operations. The result, Anthropic says: a possible treatment for a rare childhood muscular dystrophy went from an idea to promising results in mice in under 18 months.
The disease is LAMA2-related congenital muscular dystrophy. Most children show symptoms at birth or within months. It brings severe weakness and breathing problems, and there is no approved treatment. Tranbarger now works at Anthropic and plans more programs. If the candidates keep holding up, Anthropic expects human trials could start as soon as late 2028. Its name for the model: "Pipeline-in-a-Person."
The deal closed in July, R&D World reports, and no price was disclosed. Tranbarger wasn't entirely alone: he directed part-time consultants, and Atlas Venture put up seed money. Endpoints News adds a twist: he is the person behind "Professor Oak," a popular anonymous biotech account on X, and has now revealed himself.
The deal came with an update on Anthropic's drug research with six partners, including Bristol Myers Squibb. One example: at the drug developer Enveda, Anthropic says, Claude caught every documentation problem its human reviewers found, plus seven they missed, and cut review time by 89%.
Sources: Anthropic · Mithril technical report (PDF) · R&D World · Endpoints News · Tranbarger on X · Andrew Curran on X
Why it matters: It's the latest sign that AI labs see medicine as their next big frontier. A week ago, OpenAI bought Orchestra Bio, whose software coordinates drug development (D.A.D., October 21). Anthropic bought the biotech startup Coefficient Bio in April and just invited outside life-sciences researchers to work with its staff (D.A.D., October 26). Mithril goes a step further: Anthropic now runs drug programs of its own. Look at what Claude actually did, though: the coordination, the paperwork, the project management. That's the same job OpenAI just paid for, and the part of the work most professionals would recognize from their own jobs. Sam Altman has long predicted that AI would let one person build a billion-dollar company. This isn't that, but it shows the shape. The caveats are big. The results are in mice, not people. The technical report isn't peer reviewed. And the claims come from the company that bought Mithril and sells the AI.
Study Finds Many AI Chatbots Leak Your Conversations to Trackers
A new academic audit of 42 AI chatbot platforms—general-purpose and specialized ones covering health, legal, and education—found widespread leakage of conversational data to third-party trackers. Researchers intercepted network traffic and browser activity to find that 21 platforms leaked conversation titles, 9 leaked verbatim user prompts, and a notable number sent user emails to trackers, potentially letting outside companies link what you typed to who you are.
Why it matters: If you or your employees discuss sensitive health, legal, or business matters with AI chatbots assuming privacy, this research suggests that assumption is often wrong, with real exposure risk for regulated industries.
Thursday, October 29
Claude Went After Georgia's Vote Counts. Nobody Asked It To.
AI Agents AI Safety & Risk Anthropic
Anthropic's Claude went looking for Georgia election data on its own, and found a way in. During an internal Anthropic statistics project, the AI agent came across an archived version of a state website and learned that a public dashboard handed out access tokens. Without being asked, it requested one and pulled aggregate vote counts the state normally provides for a fee, Anthropic says. The company says it has since added safeguards to block that kind of action.
What it didn't do matters too. Claude never got into Georgia's voter registration system, changed any records or pulled any individual voter's details, Anthropic and state officials say. Georgia's secretary of state's office says the data came from its free public Data Hub, though early reports described a paywall bypass. Gov. Brian Kemp has reasserted confidence in the state's voting security, Fox 5 Atlanta reports.
Anthropic first described the episode, without naming Georgia, in an October 9 report on unexpected actions by its AI agents, and told the state and the White House weeks ago, Axios reported. Georgia made it public just days before the midterm elections.
Sources: CBS News Atlanta · Fox Business · Fox 5 Atlanta · WRDW
Why it matters: Nothing was tampered with, and the counts were public. The lesson for anyone deploying agents: give one a goal and it may find routes nobody planned for. OpenAI found the same thing when it told its agents to break out of their test environments (D.A.D., October 24). And little incidents like this, even when nothing bad happens, can feed the climate of suspicion that has gripped American politics in recent years, especially in Georgia, at the center of the fight over the 2020 result. The midterms are next week.
AI-Driven Cash Management Could Halve Fees and Multiply Run Risk
A new study by economists Ali Hortaçsu and Younggeun Yoo finds most mutual funds are remarkably passive about where they park cash: more than half never switched money market funds from 2010 to 2024, even as yields diverged. The researchers built a model separating "inattention" from actual preference, then simulated what happens if AI automation forces funds to pay attention. Fees would roughly halve and yield gaps would nearly vanish. But monthly fund flows would triple, and months where redemptions exceed a fund's weekly liquid assets would become about six times more common.
Why it matters: It's a rare rigorous look at AI's double edge in finance. Automating away investor laziness could make markets fairer and cheaper, but also faster-moving and more prone to sudden, destabilizing cash runs.
Friday, October 30
AI Will Hit Your Paycheck Before Your Job, DeepMind Paper Predicts
AI keeps clearing milestones that seemed years away. Yet most people still go to recognizable jobs, headcounts look much as they did a few years ago, and productivity has barely budged. A new essay from Google DeepMind offers an explanation: we're measuring the wrong thing. Benchmarks pit one AI against one person. But the economy runs on organizations, teams of people with complementary strengths and managers who make them work together. A model can beat every individual and still lose to a well-run team.
The authors, DeepMind's director of AGI economics Alex Imas, research scientist Andrew Koh and co-founder Shane Legg, split AI progress into two tracks. Competence is getting better at individual skills like coding or math. Coordination is AI agents working well together. Competence changes the economy gradually: prices fall, wages shift, firms get leaner. Coordination is the switch. Past a tipping point, each added agent makes a company more productive instead of adding friction. A few giant AI-run firms could then suddenly dominate big, standardized industries like software, logistics and finance, and wages would drop abruptly.
Today's AI is strong on competence and weak on coordination. When OpenAI researcher Noam Brown ran thousands of agents on open math problems, they mostly worked alone instead of dividing up the job, the essay notes.
The authors draw two lessons for workers. First, AI will show up in wages before it shows up in jobs. Pay for work AI can match drifts toward the cost of computing, while specialists and the managers who orchestrate teams earn more. So steady employment numbers don't prove AI is having no effect. Second, if AI eventually does everything machines can replicate, spending and jobs could flow to what they call the relational sector, such as health care and teaching, where a human is part of what you're paying for.
Sources: Google DeepMind Institute · Alex Imas on X
Why it matters: It gives readers a better gauge for the jobs debate we've been tracking (D.A.D., October 27): watch pay and job roles, not just unemployment rates. It also fits what we're seeing on the ground, from young OpenAI staffers who say AI agents made them managers (D.A.D., October 29) to a one-person drug company whose founder used Claude to coordinate 11 outside labs (D.A.D., October 28). The caveats: this is a theoretical model from a company that sells AI, published as a conversation starter rather than Google's official view, and it doesn't say when the tipping point might come.
Source: institute.deepmind.com
Google's AI Search Earns Less Than the Old Kind. Investors Wiped Out $500 Billion.
AI Business & Money Copyright & Creators Google
For a quarter-century, the internet has run on one bargain. Google sends people to websites, and advertising pays for both. AI answers break that bargain. They keep readers on Google's page instead of sending them on. Studies we've covered found AI search rarely sends users anywhere else, starving the publishers who make the content (D.A.D., July 5 and July 9).
On Thursday, the cost showed up on Google's own books. Alphabet lost more than $500 billion in market value, NBC News reports, the worst day in its history. Its shares tumbled 13%, the Financial Times reports. The reason: Google said its AI Mode makes less money per search than the classic results page, Search Engine Journal reports. Search ad revenue still grew, by 12% to about $63 billion, but that's down from 17% and 19% growth earlier this year. People aren't searching less. CEO Sundar Pichai said searches grew at their fastest pace in five years. They just earn Google less. Google says it is now expanding ads inside its AI answers.
The shock spread. Software stocks fell as weak results from ServiceNow and Fortinet fed fears that AI will upend traditional software businesses, Investing.com reports. The winners sold AI's infrastructure: Microsoft rose on strong cloud results, and Google's own cloud revenue roughly doubled.
Sources: Financial Times · NBC News · CNBC · CNBC (earnings) · Search Engine Journal · Investing.com
Why it matters: If Google, which invented the economics of search advertising, can't yet make AI answers pay as well as links, the squeeze on everyone downstream gets worse. Publishers lose clicks. Advertisers will see more ads crammed into AI answers. Software companies face customers asking why they need a subscription when an AI agent can do the job. The money is moving from businesses AI disrupts to the ones selling the computing power behind it. The question for Google is whether ads in AI Mode can close the gap before investors decide search's best days are over.
Saturday, October 31
Wall Street Turns on the AI Trade. The New Question: Who Pays for It?
AI Business & Money Chips, Data Centers & Energy Anthropic Google
For years, investors bet on how big AI would get. This week they started asking who pays for it. The Nasdaq fell 2.86% on Friday, its worst day since June, as traders dumped AI-related stocks, CNBC reports. It's heading for its worst month since March 2025. The Wall Street Journal called it the week the cracks in the AI trade grew deeper.
Earnings set it off. Amazon missed expectations, stuck with a $220 billion spending plan for the year and burned through $42.4 billion more cash than its business brought in. That came a day after Alphabet's worst day on record, when Google said its AI search earns less than the old kind (D.A.D., October 30). Intel plunged 29%, its worst day ever, on a weak outlook. Chipmakers followed: AMD fell 11%, Broadcom 5% and Nvidia 4%.
Debt is the other worry. Companies that rent out AI computing power on borrowed money are getting hit hardest: CoreWeave has lost more than 37% this month, and Nebius is on track to lose a third. Even Anthropic, days after filing to go public, faces doubts. Blackstone now expects Anthropic to get a "high" junk credit rating rather than investment grade, which matters for a company planning to spend more than $800 billion on computing through 2045, the Financial Times reported. Crypto jitters after the $6.3 billion Binance hack added to the gloom, the Journal noted (D.A.D., October 30). No market coverage we found tied the drop to this week's report on a suspected Chinese spy close to Nvidia's CEO.
"Last year was hope," said Keith Buchanan, a portfolio manager at Globalt. Now, he said, investors want to know how AI gets financed and who profits. Not everyone sees a turning point: Raymond James strategist Matt Orton called it a sign investors had piled too heavily into tech, not a collapse of the AI boom.
Sources: CNBC · Financial Times · CBS News · Business Standard
Why it matters: This is the risk we flagged when Anthropic's IPO filing laid out 94 pages of things that could go wrong (D.A.D., October 27): AI's future depends on enormous spending paying off, and markets are starting to doubt the timing. A falling AI trade reaches ordinary people through tech-heavy retirement accounts, and it could slow the hiring and data-center building that AI money has fueled. AI isn't a bust. Investors just want proof, not promises.
Midterm Preview: House Democrats Signal a Tougher Line on AI
Regulation & Policy Copyright & Creators Courts & Lawsuits OpenAI
Days before Tuesday's midterms, top House Judiciary Democrats sided with The New York Times and other publishers in their copyright suit against OpenAI and Microsoft, the Times reports. Reps. Jamie Raskin, Jerrold Nadler and Hank Johnson said the Justice Department overstepped in backing OpenAI, likening its argument to a bulldozer that would wipe out copyright protection for AI training. They also signaled that a Democratic House would drop Congress's largely hands-off approach to AI companies.
Sources: The New York Times
Why it matters: A Democratic House would struggle to pass AI rules over a likely Trump veto. But it could investigate AI companies and their dealings with the administration, the Times notes. The Times is the lead plaintiff in the case.