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 ...
Artificial intelligence has spent the last few years trapped in a strange limbo: huge budgets, huge hype, and a lot of small pilots that never quite became core business infrastructure. That is why a Reuters report this week landed differently. The key claim was not that AI is interesting. It was that AI use in the UK has reached a tipping point, with companies moving from experimentation to scaled deployment and beginning to see measurable returns. That matters well beyond Britain. The UK is not the whole market, but it is a useful signal because it sits at the intersection of financial services, media, consulting, retail, and public policy. When adoption shifts there from sandbox testing to operating reality, it usually means something bigger is happening: AI is starting to move from innovation theatre into ordinary business plumbing. What changes when AI stops being a pilot The first change is budget logic. During the pilot phase, executives can justify AI spending as explorati...