The AI Brief

Vol. I · No. 114 · Wednesday, September 16, 2026

Today's brief:

  • Cruz, Klobuchar, and Thune are drafting a Senate bill that would give the federal government power to block frontier AI model releases and impose a legal duty of care on developers, a structural shift in US AI liability that no prior proposal has reached.
  • Euclyd's $231M Samsung-backed Series A is the clearest signal yet that the race to unseat Nvidia on AI inference has moved from academic speculation to capital-scale competition, though operators won't see commercial alternatives until 2028 at the earliest.
  • Google opened Claude Opus 5 access to all of its engineers through its internal Antigravity IDE, breaking a longstanding policy requiring staff to use Gemini, and signaling how far Gemini has slipped in its own house.
  • With the House recessing Thursday until November 9, federal preemption of California's SB 947 and Connecticut's AI Act is effectively off the table, making state frameworks the real compliance targets through at least early 2027.
  • Update: Gemini 3.5 Pro passed 120 days unshipped, with no model ID, no pricing, and no confirmed launch date, as Google's flagship Pro line sits frozen while rivals move weekly.

Senate Bill Would Give Feds Power to Block Frontier AI Releases

Why it matters
The Cruz-Klobuchar-Thune draft is the first bipartisan Senate proposal to impose a duty of care on frontier AI developers and authorize the federal government to bar model releases it deems unsafe, moving US AI governance from voluntary frameworks to legal liability with a blocking mechanism that no prior proposal reached.
What's at stake
The bill's state-preemption clause would override California's SB 947 and Connecticut's binding AI laws if it passes, replacing enforceable state rules with a federal standard that Sen. Maria Cantwell has called "weak", a trade-off between federal uniformity and the stronger protections operators in those states currently rely on.
Decode
Duty of care = a legal standard, rooted in tort law, requiring an actor to take reasonable precautions against foreseeable harm. Applied to AI developers, it means companies must design products to prevent catastrophic outcomes and face legal liability if they fail to do so, categorically stronger than disclosure or audit requirements, because it attaches liability to the design decision itself, not just to reporting failures after the fact.
Detail

Senate Majority Leader John Thune, Commerce Committee Chairman Ted Cruz (R-TX), and Sen. Amy Klobuchar (D-MN) are negotiating draft legislation that would require frontier AI developers to design their systems to prevent catastrophic harms, including biological and nuclear weapons development, and would give the federal government authority to block a model's release if it is judged unsafe. Companies contesting a block could challenge it in federal court. Cruz posted that the bill would address "catastrophic risks involving biological or nuclear threats." Klobuchar said in a statement she is working toward "a bipartisan agreement on legislation for government oversight of the greatest risks posed by AI models." No text has been published and no bill number assigned.

The draft also contains a clause preempting certain state AI safety laws, a provision that has drawn opposition from Sen. Maria Cantwell (D-WA), the top Democrat on the Commerce Committee, who called it "a backdoor for wiping out stronger state protections." The preemption language puts binding state laws, including California's SB 947 (No Robo Bosses Act, on Newsom's desk through September 30) and Connecticut's AI Responsibility and Transparency Act (effective October 1), at risk of being superseded. Cruz has said it is "not clear" whether the bill can reach a floor vote before the House leaves Thursday; the Senate has roughly three weeks of session remaining before the midterms. The bipartisan nature of the bill, involving the majority leader and both parties on Commerce, is the strongest legislative alignment the issue has seen since AI safety warnings peaked in the past two weeks.

The Senate approach differs structurally from the FRONTIER Act introduced in the House on July 23, 2026 by Reps. Jay Obernolte (R-CA) and Lori Trahan (D-MA), which would require safety-framework publication and twice-yearly audits with up to $1 million per day in penalties. The Senate bill, as currently described, creates legal liability for the failure itself rather than enforcement after a potential failure.


$231M
raised by Dutch chip startup Euclyd in the largest EU AI inference chip round of 2026

Samsung Backs a Non-GPU Inference Chip Challenger Out of Eindhoven

Why it matters
Euclyd is building a chip-and-memory architecture designed to run trained AI models at lower power and cost than Nvidia GPUs, targeting the inference phase of AI deployment, where most operator spend actually lands; Samsung's co-leadership signals that Nvidia's grip on that market is now investable opposition, not just academic research.
What's at stake
For most operators, this is context, not a decision. For infrastructure teams planning data-center contracts through 2028, Euclyd's 2028 target for physical chip systems is the timeline to watch: meaningful diversification away from Nvidia's inference stack remains two years out at minimum, and Euclyd has not yet demonstrated its architecture at commercial scale.
Decode
Inference = the phase in which a trained AI model generates outputs in response to user requests, as distinct from training, which is when the model learns from data. Inference is where day-to-day compute spend accumulates for operators running production AI applications. Most current inference runs on Nvidia GPUs; Euclyd is designing a processor-plus-memory architecture that takes a different path.
Detail

Eindhoven-based Euclyd, founded in 2024 by Bernardo Kastrup and Atul Sinha at the High Tech Campus Eindhoven, closed a €200 million ($231 million) Series A co-led by Samsung Electronics, Somerset Capital Partners, the EQT-managed EU Scaleup Europe Fund, and Innovation Industries. Additional investors include Denmark's EIFO export and investment fund, imec.xpand, the Brabant Development Agency, and Quadri. Peter Wennink, former president and CEO of chipmaking-equipment giant ASML, joined Euclyd's board as chairman alongside the round. The Scaleup Europe Fund, formally established by the European Commission on August 4, 2026 with €5 billion in total target capital, made Euclyd its first AI silicon commitment after an opening investment in Finnish satellite intelligence firm ICEYE.

Euclyd's stated system, called CRAFTWERK, uses a processor and memory architecture that differs from conventional GPU designs. The company claims its silicon can reduce power and cost for data-center AI inference; techtimes.com reported a claimed 100x power efficiency advantage over Nvidia Vera Rubin, a figure that has not been independently validated. Kastrup told CNBC that commercial chip systems are planned to ship in 2028, with a target of thousands of enterprise customers by 2030. Euclyd has not yet demonstrated its architecture in large-scale commercial deployment. Samsung's investment adds potential engineering, memory-manufacturing, and supply-chain contributions beyond capital, per CEO Kastrup's comments to CNBC. The round doubles the €100 million Euclyd originally targeted in April.

Bloomberg: Chip Startup Euclyd, Backed By Ex-ASML CEO, Raises More Than €200 Million (primary)/ EU-Startups: Euclyd lands €200M Series A/ CaveatThe 100x power-efficiency claim versus Nvidia Vera Rubin comes from Euclyd's own materials; no independent benchmark validation has been published.

Google Gives All Engineers Claude Opus 5, Breaking Its Own Gemini Mandate

Why it matters
A company that has invested up to $40 billion in Anthropic and publicly positions Gemini as its primary coding model now routes its own engineers to a competitor's model for software development work, a revealed-preference signal about Gemini's practical coding capability that no benchmark comparison captures as cleanly.
What's at stake
For enterprise operators evaluating coding AI, Google's internal shift is the kind of deployment-level evidence that benchmark tables obscure: the organization that knows Gemini best chose Claude for production engineering work, and that fact belongs in vendor-selection conversations regardless of whether Gemini 3.5 Pro eventually ships.
Detail

Google has extended Claude Opus 5 access to engineers across the company through Antigravity, Google's internal software development platform, reversing a longstanding policy that barred most employees from using external AI coding tools such as Anthropic's Claude Code or OpenAI's Codex and directed them to build with Gemini instead. Access is limited to the Opus 5 model within Antigravity under per-user quotas; employees cannot directly use Claude Code itself. Some exceptions had already existed for teams within Google DeepMind and for high-priority engineering projects. "Engineers have access to select third-party models in Antigravity, which is aligned with our external Antigravity enterprise offering," a Google spokesperson said in a statement reported by Business Insider. "Gemini remains our primary and foundational model for internal development."

The timing is notable: Google has not shipped a frontier Pro-class Gemini model since Gemini 3.1 Pro in February 2026, and Gemini 3.5 Pro remains unshipped more than 120 days after Sundar Pichai promised it at Google I/O in May. Engineers who had long expressed dissatisfaction with Gemini's coding performance now have an officially sanctioned alternative. Amazon took a comparable step earlier in 2026, allowing employees to use Claude and OpenAI's Codex. Google Antigravity is itself a VS Code fork that powers multi-model agentic coding; adding Anthropic's strongest coding model as a first-class option inside the platform is a structural change to the tool's default competitive posture.

Disclosure: Claude, which generates this brief, is built by Anthropic.


House Exits Thursday, Leaving AI Legislation Window Dark Until November

Why it matters
Speaker Mike Johnson is sending the House home Thursday through early November despite a Democratic letter demanding he cancel the recess to pass AI safeguards, meaning that even if the Senate finds floor time for the Cruz-Klobuchar-Thune bill, the House cannot take it up until after an election that will determine whether Democrats or Republicans control the chamber that writes the final rules.
What's at stake
For most operators, this is context, not a decision. For legal and compliance teams in states with binding AI laws, the window for a federal law to preempt California's SB 947 or Connecticut's AI Act before their effective dates effectively closes with the House recess, which means those state frameworks are the operative compliance targets through at least early 2027.
Detail

The House is scheduled to recess after Thursday, September 18, and will not reconvene until November 9, after the midterm elections. House Democratic leaders, including Reps. Sam Liccardo, George Whitesides, Lori Trahan, and Ted Lieu (D-CA), sent a letter to Speaker Johnson urging him to keep the chamber in session "until Congress advances meaningful, bipartisan AI safeguards." Johnson has declined, telling CNN's State of the Union that racing to regulate AI would cost the US the competition with China and that AI companies bear responsibility for safety. President Trump has publicly aligned with that position.

The House Democratic letter cited "catastrophic risk posed by advanced artificial intelligence," specifically flagging mass cybersecurity breaches and biological or chemical weapons development. House Democratic Leader Hakeem Jeffries said Democrats would meet Tuesday to discuss AI guardrails. Separately, Reps. Bill Foster (D-IL) and Ted Lieu are advocating for a select AI committee if Democrats retake the House in November. The FRONTIER Act, introduced July 23 by Reps. Jay Obernolte and Lori Trahan, requires safety-framework publication and twice-yearly audits with up to $1 million per day in penalties; it has not received a floor vote and will lapse with the Congress if not passed by January. The House cancellation of the final two September session weeks, announced earlier this month to give members more campaigning time, removed what had been the last plausible legislative window before November.


Update: Gemini 3.5 Pro Passes 120 Days Unshipped as Google Outsources Coding to Claude

Why it matters
Google's flagship Pro model is now more than four months late, and the same week its absence became unignorable, Google tacitly acknowledged the gap by giving its own engineers a competitor's model instead; the delay is no longer a scheduling embarrassment but a compounding competitive signal that vendors, partners, and enterprise buyers are now pricing into platform decisions.
What's at stake
For enterprise buyers holding multi-year Google Cloud AI contracts that assumed Gemini 3.5 Pro capability by mid-2026, the delay forces a choice between waiting for a model whose shipping date remains unknown and re-platforming to Claude or GPT-6 Astra now, while migration costs are still lower than they will be after deeper workflow integration.
Detail

Google CEO Sundar Pichai announced Gemini 3.5 Pro at Google I/O on May 19, 2026, targeting a June general-availability rollout. The model missed June, missed a reported July 17 internal target, missed an August Made by Google event window, and as of September 16 carries no model ID in Google's public API, no pricing, no model card, and no confirmed launch date. Reports, including from Bloomberg and 9to5Google, attributed the delay to coding-performance shortfalls and a training-data refresh that left the model "months behind schedule," followed by a decision to rebuild the base model from scratch. The delay has been covered in prior editions (first reported in Vol. I, No. 103 at day 97, then No. 112 at day 103).

The context today is sharper than it was two weeks ago. Google launched Gemini 3.6 Flash in late July and Gemini 3.8 Flash on September 2 as Flash-tier stopgaps, but the Pro line has not updated since Gemini 3.1 Pro in February 2026. As of today, the most capable broadly available Gemini model is a downstream Flash variant, while Anthropic and OpenAI have each shipped at least two major flagship updates since February. The Google-engineer Claude access announcement confirms that at least some of Gemini's internal constituency has concluded that waiting is not an option.

FutureSearch: When will Google DeepMind release Gemini 3.5 Pro (primary)/ NotePrimary reporting on the delay comes from Bloomberg (paywalled) and 9to5Google; FutureSearch aggregates and dates the delay history. First covered in Vol. I, No. 103.