GAFAM Watch
Some stories are bigger than one company.
When Google, Apple, Meta, Amazon and Microsoft move in the same direction at the same time — spending, cutting, lobbying, building — that is not five separate stories.
That is one story about the concentration of power in the digital age.
GAFAM Watch covers the patterns, the trade-offs and the consequences that only become visible when you step back and look at all five together.
Infrastructure spending. Mass layoffs. Geopolitical pressure. Market concentration.
The race no single company can afford to lose — and no regulator can afford to ignore.
This is the view from 30,000 feet. And it is often the most important view of all.
The Whole AI Economy Runs Through One Island. But Europe Holds the Key Nobody Talks About.
TSMC reported record June and Q2 2026 revenue — June sales up 67.9% year-on-year to the largest monthly figure in its 40-year history, driven by AI chip demand, with 3nm and advanced packaging sold out through year-end. The company makes nearly every leading-edge AI chip on earth and holds 73% of the foundry market, concentrating the entire AI economy on one island in a geopolitically tense strait. But beneath that concentration lies a fact rarely stated: none of those chips can be made without one machine, built only by Europe’s ASML. gafam.ai reads the chokepoint Europe actually holds.
Washington Was Offered 5% of OpenAI. When the Regulator Becomes a Shareholder.
OpenAI has proposed handing the US government a 5% equity stake — worth roughly $42.6 billion — through a vehicle modeled on the Alaska Permanent Fund, and wants Anthropic, Google and Meta to cede matching stakes. It remains a proposal, not a deal: rivals haven’t agreed, Congress hasn’t acted, and Reuters could not independently verify it. But if any version proceeds, it rewires every future AI fight — because a government that owns AI companies cannot regulate them impartially. gafam.ai reads what state ownership of AI means for Europe.
A Food-Delivery Company Just Built a Frontier AI Without a Single Nvidia Chip. That’s the Story.
On June 30, Chinese food-delivery giant Meituan open-sourced LongCat-2.0 — a 1.6-trillion-parameter model released under a permissive MIT license, which the company says is the first model of its scale trained and run entirely on domestic Chinese chips, with no Nvidia GPUs. The benchmark claims are self-reported and the full weights aren’t yet public. But the hardware milestone is the story — and it lands as Washington gates access to American models. gafam.ai reads what it means for Europe’s impossible AI choice.
Even Tesla Is Now Rationing AI. The Great Token Reckoning Has Arrived.
Starting July 6, Tesla will cap employee AI spending at $200 per week, after software engineers were burning through thousands of dollars in tokens weekly. It follows near-identical caps at Uber, Meta, Amazon and Walmart — the industry-wide shift from “tokenmaxxing” to “token budgeting.” There’s a telling carve-out: Musk exempted his own xAI products, while Tesla’s engineers reportedly prefer Anthropic’s Claude. gafam.ai reads the great AI cost reckoning — and what it means for a Europe with no in-house model to fall back on.
Anthropic Says Alibaba Cloned Claude 29 Million Times. Alibaba Denies It. Here’s What’s Real.
In a June 10 letter to US senators — surfaced publicly in late June — Anthropic accused operators affiliated with Alibaba and its Qwen AI lab of the largest known “distillation attack” on Claude: 28.8 million exchanges through roughly 25,000 fraudulent accounts over six weeks. Alibaba denies wrongdoing. The figures are Anthropic’s allegation and have not been independently verified. Yesterday we covered Meta’s fear of distillation from the inside; today, the same technique appears as a US-China national-security flashpoint. gafam.ai separates what is claimed from what is established — and reads the European consequence.