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Squared: The Week AI Grew Up (and Got Political)

Two things stood out this week, and neither was a shiny new model. First, the AI boom collided with Washington — OpenAI is reportedly floating a 5% stake to the US government, and Anthropic's models got export controls lifted after a safety-testing standoff. Second, Zuckerberg admitted agents aren't progressing as fast as hoped. That candour is worth more than most press releases. Everything else was largely incremental — useful for practitioners, noise for the boardroom. Here's what actually matters.

01

OpenAI floats a 5% US government stake — AI is now a political asset

What happened

Per the FT (via The Verge and Ars Technica), Sam Altman is in active talks to give the US government a roughly 5% ownership stake in OpenAI to ease tensions with the Trump administration and blunt public backlash — lower than Senator Sanders' target.

Why it matters

When the largest AI provider starts negotiating equity with the state, your vendor's roadmap becomes subject to political weather. If you're building on OpenAI, factor regulatory and geopolitical exposure into your dependency risk — this is no longer a purely commercial relationship. Revisit your multi-provider stance now, not after a policy shock.

02

Zuckerberg admits agents haven't progressed as fast as hoped

What happened

In an internal Meta meeting reported by TechCrunch, Zuckerberg told staff that AI development efforts — specifically agents — were not moving as quickly as anticipated.

Why it matters

This is the most useful sentence of the week. The company spending most on this is quietly resetting expectations. If your 2026 plan assumes fully autonomous agents replacing workflows this year, pressure-test it. Agents are real and useful in narrow, well-scoped tasks — but treat 'autonomous end-to-end' claims as aspiration, not delivery.

03

Anthropic's Claude models cleared for global release after a Washington standoff

What happened

The US Department of Commerce lifted export controls on Claude Fable 5 and Mythos 5 after weeks of negotiation; Anthropic is restoring global access. Anthropic is also reportedly discussing a custom chip with Samsung — a week after OpenAI's Broadcom chip deal.

Why it matters

Two signals: frontier model availability can now be gated by government, and both major labs are chasing their own silicon to escape supply constraints. For buyers, that means capability access may vary by region — and the providers are betting big on owning the hardware stack. Don't assume uniform, uninterrupted access when you architect for scale.

04

The energy bill is coming due — Google's electricity use jumped 37%

What happened

Ars Technica reports Google's AI buildout drove a 37% increase in its electricity use in 2025, with the company scrambling to balance data-centre emissions against clean-energy commitments.

Why it matters

Compute isn't free and it isn't clean. If your organisation has sustainability commitments, AI adoption now has a measurable carbon and cost line that will surface in ESG reporting. And with NVIDIA openly courting capital partners to fund 'AI factories', the infrastructure economics are getting priced into the tools you buy. Ask your vendors about efficiency, not just capability.

05

Adoption is genuinely broadening — but so is the hype tax

What happened

OpenAI's new Signals data shows ChatGPT usage deepening across regions, languages and capabilities. Meanwhile TechCrunch noted a sandwich chain, Jersey Mike's, name-dropping AI in its IPO filing — a marker of how reflexive the hype has become.

Why it matters

Real usage is compounding, which validates investment — but 'AI' in a strategy deck now means nothing on its own. The discipline that matters is specificity: which task, what measurable outcome, what does it replace. If a plan can't answer those, it's theatre. Reward teams that ship narrow wins over those that promise transformation.

The bottom line

Most of this week was infrastructure and politics dressed as product news — and that's the story. The frontier labs are negotiating with governments, chasing custom chips, and quietly lowering expectations on agents. That's not a reason to slow down; it's a reason to build deliberately. Anchor on narrow, measurable use cases, treat provider dependency as a live risk, and be sceptical of anything sold as autonomous or transformational. The organisations winning right now aren't the loudest — they're the ones shipping small, useful things while everyone else argues about the future.

Working on something hard in AI? Just reply to the email — Daniel reads and answers every one.

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