The AI train is no longer stopping at Nvidia station
Goldman Sachs just threw a bigger number on the whiteboard: it now thinks U.S. business investment will grow faster in 2026 because AI spending keeps accelerating. The bank says annualized AI-related spending hit about $650 billion in Q1 and could top $800 billion by year-end. That’s not “nice tailwind” money. That’s “entire balance sheets start reorganizing their weekend plans” money.
This is bigger than chips
If you’re thinking this is just a story about semiconductors, nope. Goldman says the money is flowing into servers, memory, power infrastructure, data centers, software, and research and development. In other words, the AI boom has turned into a full-blown supply-chain relay race, and every baton pass costs more than the last one.
The bank lifted its forecast for 2026 U.S. business investment to 7.8% from 6.5%, and says AI spending alone could add about 3.3 percentage points to true capex growth. That’s a huge lift for equipment makers and infrastructure players, even if the official GDP stats don’t capture all of it cleanly.
Why the macro crowd cares
Goldman also argues that the impact on measured GDP will look smaller than the real-world effect because a chunk of the equipment is imported. Translation: the economic engine may be revving harder than the scoreboard shows.
On top of that, the bank says the new tax incentives in the One Big Beautiful Bill Act should give capex another push in 2026, while some old drags — tariffs and the slowdown tied to earlier industrial policy programs — are starting to fade. Big picture: AI isn’t just making stocks expensive; it’s becoming one of the biggest forces shaping where corporate America spends its money.