The Office of Management and Budget published new federal rulemaking text in May 2026 that would allow political appointees to override peer review in allocating US research grants. This is the formalization of an August 2025 executive order — now merged with other administration priorities to survive legal challenge. If finalized, the change would end the peer-review system that made American science dominant for seven decades.
The draft rule states that “peer review remains advisory and does not replace agency discretion,” then directs agencies to fund grants “aligned with administration policies and priorities” rather than scientific merit alone. It also grants agencies unlimited power to cancel existing grants at any time if deemed no longer in the “national interest” — a vague standard with no procedural safeguard. The document bans funding for theories of disparate-impact liability, research on chromosomal disorders it labels “gender ideology,” and collaborations involving Chinese researchers. Domestic-first language requires that international elements be justified as a “last resort,” even with allied nations. Publishing in journals that require data sharing would also be blocked under proposed limits on conference attendance and dissemination costs.
SoftBank Pledges €75 Billion — France Gets Europe’s Largest AI Bet
On May 30, 2026, SoftBank Group (Japanese conglomerate and investor in OpenAI) announced plans to invest up to €75 billion — roughly $87 billion — to build data centers in France. The goal is 5 gigawatts of additional capacity by the end of the decade, with the first phase delivering 3.1 gigawatts across Dunkirk, Bosquel, and Bouchain by 2031. SoftBank called it its largest AI infrastructure investment in Europe.
French economic minister Roland Lescure framed the commitment as validation of President Emmanuel Macron’s ambition to position France “as a leading destination all along the AI value chain.” The announcement comes as US opposition to data center construction intensifies over environmental impact and grid strain. SoftBank earlier revealed plans for a 9.2‑gigawatt natural-gas-powered data center in Ohio. The France deal signals European governments are racing to capture sovereign AI compute capacity while American regulatory friction rises.
GitHub Copilot Shifts to Tokens — Bills Jump from $29 to $750 a Month
Microsoft-owned GitHub (code-hosting platform acquired for $7.5 billion in 2018) is switching Copilot from flat-rate subscription to token-based billing effective June 1, 2026. Developers on Reddit reported monthly costs rising from $29 to nearly $750, and from $50 to over $3,000, depending on usage. The change charges per token consumed rather than per request, and users who relied on multi-hour agent workflows now face runaway bills.
Some developers defended the new model, arguing that disciplined use keeps costs manageable and that the original pricing was unsustainable. One commenter asked, “Holy fuck how much money was Copilot losing?” — a question Microsoft has not answered publicly. Critics countered that the company encouraged indiscriminate use through its interface design and is now “pulling the rug out.” The economics of training-subsidized freemium AI tools are colliding with the realities of inference cost at scale. TechCrunch reached out to Microsoft for comment but received no response by publication.
Meta Reportedly Builds an AI Pendant — Wearables Race Moves Off the Wrist
Meta (formerly Facebook, parent of Instagram and WhatsApp) is developing an AI-powered pendant, according to a brief May 30, 2026 report. No specifications, launch timeline, or form factor details were disclosed. The device would extend Meta’s hardware push beyond its Quest VR headsets and Ray-Ban smart glasses, which ship with built-in voice assistants.
Wearable AI hardware remains a contested category. Humane’s Ai Pin launched to poor reviews and minimal sales in 2024, while Rabbit’s R1 device struggled with reliability. Apple and Google dominate the wrist with Watch and Wear OS. Meta’s pendant play suggests the company sees opportunity in non-screen, voice-first interaction — likely leveraging its Llama language models. Whether consumers want another always-listening device remains an open question, but Meta is betting hardware diversification will unlock new data streams and lock-in ahead of mixed-reality adoption.
Capital hates uncertainty, but it despises invisible rules even more. Today’s signals show three layers of risk reshaping where money can safely deploy: sovereign compute races in Europe, runaway inference economics in developer tools, and now political discretion supplanting scientific peer review in the world’s largest research budget. SoftBank’s €75 billion France commitment and GitHub’s token-pricing debacle both reflect the same underlying constraint — sustainable AI infrastructure requires transparent unit economics, whether in kilowatt-hours or tokens per query. The OMB rulemaking is the inverse: it formalizes maximum discretion with zero transparency. If political appointees can cancel grants “at any time” under “national interest” language, every multi-year research collaboration becomes a real option with undefined strike terms. That’s not a funding system. It’s a poker game where the dealer can change the rules mid-hand. Track where the peer-review exodus lands — those researchers and their institutions are the next wave of brain-drain capital flows.
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