Dimension One · The Money

AI Became a
Capital Event

Anthropic passed OpenAI at $965 billion. Three of the largest IPOs in history filed within weeks. And the same handful of companies started paying each other in circles.

Anthropic spent the quarter winning. In April, Claude Opus 4.7 retook the crown for the most powerful model anyone could use. In early May, Dario Amodei revealed revenue had grown 80-fold in a single quarter to a $44 billion run-rate. On May 28 it raised $65 billion at a $965 billion valuation — passing OpenAI as the most valuable AI company on earth — and three days later filed confidentially to go public.

It wasn't alone at the door. Within weeks, OpenAI filed at $852 billion and SpaceX — parent of xAI — priced what analysts called the biggest IPO ever. SpaceX listed June 12 at $135 a share, raced past $200, and added close to $1 trillion in value over a long weekend — on the strength of a pitch claiming a $28 trillion total addressable market, including $22.7 trillion in “enterprise applications,” a single line item larger than the GDP of any country on Earth. Days later it used the inflated stock to buy Cursor for $60 billion.

The strangest part was the shape of the money: the same companies had begun financing one another in loops. SpaceX's own S-1 revealed that Anthropic had agreed to pay xAI $1.25 billion a month — over $40 billion through 2029 — to rent compute that existed only because Grok's usage had fallen, freeing servers xAI now sells to its rival. Anthropic separately committed $200 billion to Google Cloud while Google invested up to $40 billion back into Anthropic; Amazon added $25 billion. Money left one frontier lab, arrived at another, and came home as a customer.

Not everyone was buying it. Our expert community kept circulating the bear case from four directions:

Then, on one Friday in early June, the market asked the question out loud. After Broadcom's outlook disappointed and a hot jobs report stoked rate fears, Nvidia fell about 6% and dipped below a $5 trillion valuation, dragging Micron, AMD, and Marvell with it. We argued it was as much about bonds as about AI — but the bears' case had stopped sounding rhetorical.

Q3 Watch How these IPOs price once public investors — not private ones — get to vote on $22.7-trillion slides and revenue that arrives from your own compute customers.

We covered this Anthropic files for an IPO. NVIDIA ships its stack. · SpaceX wants $80 billion. OpenAI wants a trillion.

Dimension Two · The Silicon

The Race Already
Has a Winner

While the labs fought over the prize, the companies that sell the picks and shovels — the machines, the chips, the memory — booked the most durable profits in tech. Every dollar of the capital event has to pass through four toll booths. All four are sold out.

The Money dimension ended on the bear case: the capex is real and booked, but the returns aren't showing up. Q2 answered the question — they're showing up one floor down. Micron's latest quarter saw revenue quadruple to roughly $42 billion, at a gross margin above 81% — up from 27% a year earlier. Its entire 2026 supply of high-bandwidth memory — the specialized chips every AI accelerator needs — is sold out under multi-year contracts, and the CEO said he can fill only half to two-thirds of demand. That isn't a company hoping AI pays off. It's one that already cashed the check.

Micron isn't the exception — it's the pattern. Strip out which lab wins the model war and one fact survives: every one of them buys compute from the same tiny set of suppliers, and that chain has only four real chokepoints. Each is a near-monopoly. Each is sold out. Each is printing the best margins of its life.

The pattern rewrites the bubble debate. The skeptics ask whether the spending will ever pay off; the supply chain has already been paid. Whoever wins the model war — Anthropic, OpenAI, a Chinese lab, none of them — still has to write the same four checks first. The surest way to own the AI boom may be to own the toll booths, not the cars.

Q3 Watch Whether the memory squeeze escapes the data center. With HBM and DRAM sold out years ahead, the chips in your next phone, laptop and car are already getting pricier — turning the AI boom into a tax everyone pays, AI user or not.

We covered this Anthropic files for an IPO. NVIDIA ships its stack. · America blocked its best AI. China just raised $7.4 billion.

Dimension Three · The State

The State Stopped
Watching

For the first time, a government switched off a commercial AI model. It was the loudest signal in a quarter when the state — in Washington and in Beijing — stopped spectating.

At 5:21 p.m. ET on Friday, June 12, the U.S. government switched off the most powerful AI model in the world. Three days after Anthropic shipped Claude Fable 5 and Mythos 5, a federal directive — framed as an export-control action on national-security grounds — forced their immediate worldwide shutdown. The trigger, by Anthropic's account, was a “narrow potential jailbreak.” It was the first time any government had recalled a commercial AI model.

Anthropic did not absorb it quietly; its objection became the most-shared link in our expert graph all quarter. What followed was raw politics. Dario Amodei met the Trump administration on June 16 with no resolution. Only on June 20 — two days after a G7 lunch with Amodei — did the President tell Axios that Anthropic was “no longer a national security threat.” The export ban stayed in place anyway.

The recall capped a quarter of escalating state assertion. The Trump White House had floated pre-release vetting of frontier models, then reversed after Musk, Zuckerberg, and Sacks reportedly killed an AI-safety order in three phone calls. Forty-two state attorneys general opened an investigation into OpenAI ahead of its IPO; Pennsylvania sued Character.AI after a chatbot allegedly posed as a licensed psychiatrist to a minor. And the Pentagon — which had blacklisted Anthropic as a “supply-chain risk” for refusing autonomous-weapons access — was, by late May, relying on its models anyway.

The other state moved too. Washington tightened the screws abroad — Commerce closed a loophole that let Chinese firms' overseas subsidiaries buy Nvidia Blackwell and AMD chips without a license — and Jensen Huang conceded the policy had backfired: Nvidia's share of the China market, he said, was now zero. It didn't slow Beijing. DeepSeek raised $7.4 billion in its first outside round, led by Tencent and China's state chip fund, and shipped an open-source flagship against the embargo built to stop it. The quarter's most unsettling state use of AI surfaced in court: a sworn Pentagon filing credited xAI's Grok with helping fire “2,000 munitions at 2,000 distinct targets within 96 hours” in Iran — disclosed only because xAI invoked it to escape an environmental suit over its data-center turbines.

Q3 Watch Whether June 12 was a one-off or a precedent — and whether Washington can keep China a step behind when each new control seems to forge a more self-sufficient rival.

We covered this Washington just repriced frontier AI · Musk, Zuckerberg killed Trump's AI safety order

Dimension Six · The Field

The Field
Pushed Back

Our readers clicked the IPOs and the trial. The researchers we track were reading about AI doing mathematics, the collapse of online truth, and a moral reckoning over the whole project.

Strip out what we pushed in our own emails, and a different quarter appears. We track several thousand of the field's most-followed researchers, founders, and ethicists — and the links they shared on their own, unprompted by us, had almost nothing to do with IPOs.

AI started doing real science. The most striking technical claim of the quarter wasn't a product. OpenAI reported that one of its models had disproved a long-standing conjecture in discrete geometry. The mathematics community responded by organizing rather than celebrating — issuing the Leiden Declaration on AI and Mathematics, while arXiv moved to ban researchers who submit AI-generated “slop.” For the research cohort, this was the story: the tools had crossed from assisting the work to doing some of it.

The shared sense of truth started buckling. The most-circulated links read like dispatches from an epistemic emergency:

A moral reckoning arrived from outside the industry. The second-most-shared link in our entire graph — behind only Anthropic's recall statement — was a papal encyclical. The argument about power and consent came from unexpected places:

The cognitive bill came due. Nature reported early results on whether AI is eroding human skill — “and they're not good.” Developers told 404 Media the tools were “rotting their brains”; an entire university system, by the NYT's account, was “tearing itself apart” over them.

None of these were fringe signals. Each was elevated by the same researchers and engineers whose day jobs are building the systems in the headlines. The loud quarter was about who would be worth a trillion dollars. The quiet one — the one the field was actually reading — was about whether the rest of us could still tell what was true, who got a say, and what all of it was doing to the people in the room.

Q3 Watch Whether the encyclical, the union vote, and the recall turn out to be the first organized friction of the AI era — or just a quarter when the doubters happened to be loud.

We covered this AI slop: a $725B bet on what no one wanted · When AI teaches AI, it teaches in secret