Artificial intelligence is still getting covered like a software race, but the more important story now looks physical. According to a Reuters report citing S&P Global, Big Tech is on track for roughly $635 billion in AI spending between 2025 and 2027, and the real stress point is no longer just chips or talent. It is power. That shift matters because it changes how the market should read the AI boom. For the last two years, the dominant question was who had the best models, the fastest product rollouts, or the strongest enterprise distribution. Those questions still matter. But once AI becomes infrastructure-heavy at this scale, electricity starts acting like a strategic input rather than a boring utility line item. The companies that can secure compute and energy together will have a structural edge over the ones that can only talk about product vision. Why the AI race is starting to look like a grid race S&P Global’s framing is useful because it pushes the conversation ...
Anthropic announcing an initial $200 million effort to study AI's impact on jobs and the economy is one of those moments where the conversation shifts from futuristic rhetoric to concrete positioning. According to the Associated Press, the Claude maker paired the funding announcement with policy language from CEO Dario Amodei that openly entertained stronger public support for workers displaced by AI. That matters because it signals a new phase in the AI boom: the biggest labs are no longer acting as if labor disruption is a side debate happening around them. They are starting to frame it as part of the main story. That is a bigger deal than the headline might suggest. For the past two years, AI coverage has mostly split into three buckets: dazzling demos, giant capex numbers, and warnings about long-term existential risk. The jobs question was always present, but often parked in the background as a medium-term concern. Anthropic just dragged it into the foreground. Once a major ...