The AI bottleneck is shifting fast

Here’s what’s worth your time today.

[2 min read]

Global AI computing capacity has been growing at an extraordinary pace, roughly 3.3x per year since 2022, according to new data from Epoch AI. That growth rate means the world’s available AI compute now doubles about every seven months, enabling much larger models and faster consumer rollout. Nvidia still dominates, accounting for over 60 percent of total compute capacity, while Google and Amazon make up most of the rest through TPUs and Trainium chips. The takeaway is simple: the limiting factor for AI progress is shifting from algorithms to how fast the industry can build, power, and deploy chips at scale.

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[3 min read]

Anthropic has rolled out new technical safeguards to block third-party tools from spoofing its Claude Code client and accessing Claude models under consumer subscriptions. The move breaks popular open source coding agents like OpenCode and also cuts off rival labs, including xAI, from using Claude via tools like Cursor to develop competing systems. Anthropic says the crackdown is about stability, security, and enforcing commercial terms, but developers see a clear economic shift. Heavy automation is being pushed away from flat-rate plans and toward metered APIs or Anthropic’s own controlled environment. The signal is clear: access to frontier models is tightening, and unofficial workarounds are no longer tolerated.

[2 min read]

Meta has unveiled one of the most ambitious energy moves in Big Tech, striking deals to lock in long term nuclear power for its AI data centers. The company will back new reactor projects with Oklo and Bill Gates backed TerraPower, while also buying and expanding output from three existing nuclear plants operated by Vistra in Ohio and Pennsylvania. Meta says the agreements could bring new reactors online as early as 2030 to 2032 and keep aging plants running longer, supplying city scale electricity as AI demand surges. The message is clear. As AI pushes power grids to their limits, Meta is no longer just buying energy. It is helping build it.

[2 min read]

Google, Shopify, and major retailers are backing a new Universal Commerce Protocol designed to let AI assistants complete purchases across different platforms without sending shoppers through multiple sites or checkouts. Announced at NRF, the standard is supported by companies like Walmart, Target, Etsy, Visa, and Mastercard, and is meant to power “agentic commerce” where AI moves from product discovery to payment inside a single conversation. Google plans to roll it into AI Mode in Search and Gemini, with similar setups expected in Microsoft Copilot. The ambition is to reduce checkout friction that causes abandoned carts, but adoption remains cautious, with most consumers still uneasy about letting AI finalize purchases on their behalf.

[2 min read]

Alphabet crossed a $4 trillion market cap this week as investors increasingly view Google’s parent as one of the clearest winners of the AI boom. Shares jumped after reports that Apple plans to use Gemini to power an AI version of Siri, reinforcing Alphabet’s role at the center of the AI stack. Strong momentum in its Gemini models, custom TPU chips, and AI-driven products has helped the stock climb nearly 5% this year, following a 65% surge in 2025. For investors, the message is simple: Alphabet is no longer just defending its core business, it is being re-rated as a long-term AI leader.