Devansh's frame: June did not prove the artificial intelligence market was fake.
It proved the shortcuts were. The piece.
For three years, benchmarks stood in for capability.
Run rates stood in for durable revenue.
Backlogs stood in for future cash flow.
Token prices stood in for cost.
June showed how unreliable those shortcuts had become.
The same question appeared everywhere: how do you verify what you are buying?
This is the correction: the market is discounting claims it cannot check.
A day after Anthropic shipped Fable 5 and Mythos 5, an outside report showed a prompt trick that made the model surface exploitable vulnerabilities across large codebases.
Commerce issued an export-control directive.
Both models went dark globally because you cannot screen every API user's nationality in real time.
The only enforceable unit was everyone.
The legal theory was "deemed export": treating a foreign national's API session as a controlled technology transfer.
That theory was never tested in court. The directive just lifted.
Untested means infinitely reusable.
The trigger reportedly ran Amazon → Treasury → Commerce. Amazon is Anthropic's biggest investor, compute vendor, and a competitor.
Watching that week, everyone changed behavior.
OpenAI launched GPT-5.6 not to the public but to roughly 20 government-coordinated "trusted partners." Google's Gemini 3.5 Pro was suddenly "cleared for July" — a word nobody used two months earlier.
No new law was needed. Memory of the recall did the enforcing.
Commerce recalled the most capable deployed model on Earth based on a report it could not independently evaluate.
No internal evals.
No severity scale.
No auditor.
That improvisation now forces an audit industry into being. In an audit regime, whoever controls the test controls the market.
Labs filing to go public means one thing: real accounting. Two of this month's tells —
Everyone books backlog: Oracle at $638B, CoreWeave at roughly $99B.
But the GPUs still have to earn it back before financing, depreciation, and rate risk eat the upside.
Demand does not have to vanish. It just has to pay later than the debt assumes.
Per-seat pricing worked because a human's consumption is bounded. Agents are not.
GitHub moved Copilot to metered "AI Credits" ($0.01 each). Salesforce offered to charge for completed outcomes instead of seats.
Uber blew its whole year's coding-AI budget in four months and capped it at $1,500 per engineer per month. Microsoft dropped most Claude Code licenses even with proof it lifted output — because it owned a close substitute.
Claude's new tokenizer produced about 30% more tokens for the same text.
The price card looks unchanged. The effective bill rises once the intro promo ends.
"Dollars per million tokens" is not comparable across vendors when one of them can quietly redefine the token.
Four days after Commerce could switch Anthropic's models off, Z.ai released GLM-5.2 under an MIT license.
Weights you download.
No regional lock.
Nobody can remotely disable them.
That is the open-weight thesis: not ideology, supply-chain control. And the volume followed.
Chinese models overtook US models in token volume by early June. DeepSeek alone reached 22.6% of token volume.
The market did not replace the frontier. It split the work.
Premium models keep the hard, high-value tasks.
Cheap open models absorb the repetitive layer beneath.
Washington can switch off an American API.
It cannot recall weights already running on private servers.
"How do you verify what you're buying?"
Benchmarks can be gamed. Token prices are not comparable.
Routers hide the compute. The top model can still be the wrong product.
The metric that survives: cost per completed task, with the full receipt.
The uncomfortable ending: labs wanted to be the intelligence layer under every industry.
Instead they may become suppliers inside platforms owned by governments, clouds, and enterprise-software companies — because those are the ones who now control the evidence.
This lands on top of $1T+ in planned AI capex, an IPO wave, and a jittery rate environment.
Whether or not it is a bubble, the market just started demanding receipts.
Every proxy that used to stand in for the truth got audited in the same month.