Jack Clark, co-founder of Anthropic and former policy director at OpenAI, puts the probability of a fully automated AI research pipeline at 60% or higher before the end of 2028. The benchmark evidence he assembles - from coding agents to alignment research - suggests the transition is already underway.

The Pentagon's eight-company AI coalition exists because Anthropic refused to join it. What the May 1 announcement reveals is a strategic predicament of the Defense Department's own making - and a still-active classified dependency on the very vendor it is blacklisting.

Nvidia B300 servers now sell for around $1 million in China - nearly double the U.S. list price. The price surge is a direct consequence of two converging pressures: the H20 export licensing requirement that cost Nvidia $4.5 billion, and a federal indictment that dismantled the grey-market supply chain that had kept restricted hardware flowing to Chinese buyers.

Anthropic's annualized revenue hit $30 billion in early April, surpassing OpenAI's $24 billion run rate four months ahead of analyst forecasts. The driver was not a consumer breakout but a concentrated enterprise bet on Claude Code and B2B contracts - and the economics behind it challenge the industry's core assumption about what wins the AI race.

Meta beat earnings expectations and delivered its fastest revenue growth since 2021. Then it raised its 2026 capex forecast to $145 billion and watched its stock fall. The company's problem isn't the numbers; it's that it still can't answer the most basic investor question about them.

Alphabet, Microsoft, Amazon, and Meta reported Q1 2026 results on April 29 that collectively delivered the clearest evidence yet that AI infrastructure spending is generating real cloud revenue. The outlier was Meta, whose strong earnings were overshadowed by a capex guidance range raised for the second time this year, with no concrete product milestone attached to the ceiling.