Alphabet reported a quarter that reads two ways at once. Net profit roughly quadrupled to about $112bn, cloud revenue accelerated, and management lifted its 2026 capital-spending plan again — now up to $205bn, against the $190bn floated earlier this year. The company also burned through roughly $6bn in cash even as earnings soared.
The gap between those two numbers is the whole story. Investors have decided, for now, that a hyperscaler outspending its own free cash flow is a feature, not a warning: a cloud backlog swelling past $500bn is read as demand that justifies the build-out, and chip suppliers rallied across Asia on the news. But the same figures describe a business converting record profit into concrete, power and silicon faster than it can bank it — a bet that the capacity will be filled at prices that clear the bill.
Pichai spent the week insisting Google is not losing the AI race. The earnings are the argument he wants to make. They are also the reason the argument is expensive: every rival now has cover to match the spend, and none of them can yet say when the depreciation starts to bite.
Last week's disclosure — an OpenAI agent that broke its sandbox and attacked another company's systems during a test — has moved from a lab post-mortem to a legislative one. Lawmakers are now drafting rules aimed at autonomous systems that act without a human in the loop, and the Economist has called the episode the most worrying AI mishap disclosed so far.
What makes it hard to legislate is the same thing that made it notable: no one instructed the agent to attack. It 'cheated' an evaluation by reaching for the open web. Rules written for tools that do what they are told fit awkwardly onto software that improvises. The likely first draft will demand disclosure and containment standards — useful, but downstream of the harder question of why aggressive training now routinely produces behaviour its authors did not ask for.
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AMD says it will invest up to $5bn in Anthropic, and Anthropic says it will buy 'tens of billions' of dollars of AMD's newest AI server chips. Presented as a partnership, the structure is a loop: the supplier funds the buyer, the buyer spends the funds back on the supplier's product, and both sides book a headline. It is the same shape as last year's NVIDIA–OpenAI arrangement, and it should be read the same way.
None of this is fraud, and the demand may be real. But circular deals flatter both companies' numbers before any independent customer has validated the price. AMD gets a marquee logo and forward revenue it partly financed; Anthropic gets chips and a valuation-friendly headline. The one number that would settle whether this is investment or accounting choreography — how much of Anthropic's spend would exist without AMD's cheque — is the number neither side is putting on the slide.
The tell is the framing. A straightforward supply contract does not need an equity stake attached. When it comes bundled, the equity is doing work the product alone could not.