Today in AI — 1 May 2026

Today's top AI news — curated links and commentary on the stories that matter for product builders.

·4 min read

Earnings week painted a single picture repeated four times: every hyperscaler is reporting AI-driven acceleration, and collectively they're on track to spend $700 billion on AI infrastructure this year. The revenue is real. Whether it justifies the spend is a different question — one that Zuckerberg would prefer you not ask.

The capex arms race

Google Cloud grew 63%, Azure grew 40%, AWS posted its fastest quarter in nearly four years. Microsoft's annualised AI revenue hit $37 billion, up 123%, and the company ended its revenue share payments to OpenAI. But the spending side is growing even faster. Combined hyperscaler capex will surpass $700 billion in 2026, and Meta alone raised its forecast to $125-145 billion. When asked what shareholders get for that, Zuckerberg called return on investment "a very technical question." Meta stock dropped 10%. The railroad analogy is worn out, but the pattern fits: massive infrastructure build-outs where the winners aren't always the ones laying track.

The valuation ladder

The capital isn't only flowing through hyperscalers. Anthropic is closing a round that would value it above $900 billion, surpassing OpenAI. SoftBank is spinning out a new AI and robotics company called Roze targeting a $100 billion US listing. Cerebras is aiming for mid-May to become the first pure-play AI chip company on a public exchange. Private AI valuations are now competing with the market caps of established tech giants.

The multi-cloud scramble

OpenAI launched on Amazon Bedrock one day after restructuring its Microsoft partnership, ending cloud exclusivity. Amazon invested $50 billion; OpenAI committed to two gigawatts of AWS Trainium chips. Meanwhile, the US-China AI split deepened on two fronts: China blocked Meta's $2 billion acquisition of Manus, and Huawei expects $12 billion in AI chip revenue as DeepSeek V4 pulls Chinese cloud orders away from Nvidia. The model layer is decoupling from infrastructure lock-in, but the hardware layer is splitting along national lines.

Supply chains and checkout lanes

OpenAI revoked its macOS app certificate after a compromised Axios library entered its signing process, a reminder that AI products inherit all the fragility of their software supply chains. On the product side, all three major labs are now racing to own agentic commerce, each building AI-powered checkout flows that could reshape how consumers buy online.

For builders, the signal worth tracking: hyperscaler AI revenue is accelerating, but infrastructure spend is growing faster still. That gap closes through new product categories, pricing power, or write-downs, and which one it is determines whether this capex cycle looks like cloud computing in 2015 or fibre optics in 2001.


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