$410 billion in AI spending — zero economic growth
Goldman Sachs says $410B in AI investment added nothing to US GDP in 2025. Multiple economists agree — AI speed gains are trapped inside company walls.
US businesses poured $410 billion into artificial intelligence in 2025. The measurable impact on America's economic growth? Zero, according to Goldman Sachs analysts.
That's not a rounding error. It's the conclusion of one of Wall Street's most influential banks — and a growing chorus of economists who say the AI spending boom has produced no detectable boost to GDP.
Where $410 billion went — and why it vanished
The analysis points to two structural problems that prevent AI investment from showing up in economic statistics:
The geography problem: Most AI chip purchases go to Taiwan (where they're manufactured), boosting Taiwan's GDP — not America's. Companies like NVIDIA design chips in the US, but the manufacturing value flows overseas.
The productivity trap: When AI makes a team faster, that speed gain stays "trapped inside company walls." The savings don't ripple through supply chains or create new jobs — they just let the same people do the same work faster.
It's not just Goldman saying this
Dario Perkins, head of macroeconomics at TS Lombard, put it bluntly: "There is no evidence that AI deployment is either boosting productivity or damaging US employment."
Brian Peters, a former New York Federal Reserve regulator, called AI capabilities "extraordinary" — but added that the "near-term economic payoff is, at best, debatable."
Economists at the National Bureau of Economic Research (NBER) identified a "productivity paradox" — a gap between how productive companies feel they've become and what the numbers actually show.
The $660 billion question
Investors are projected to pour $660 billion into AI in 2026 — a 61% increase over last year. The Goldman Sachs report raises an uncomfortable question: if $410 billion produced no measurable economic return, what exactly will $660 billion accomplish?
To be clear, this doesn't mean AI is useless. Individual companies are seeing real efficiency gains. But at the level of national economic growth — the metric that affects wages, jobs, and living standards — it hasn't moved the needle yet.
What this actually tells you
If you're a business owner: AI tools may be saving you time, but the broader economy isn't feeling it yet. The gap between "faster" and "more productive" is real — and worth thinking about before expanding AI budgets.
If you're a worker worried about AI replacing jobs: The data is surprisingly reassuring. Despite record AI investment, there's no evidence of widespread job losses. At least not yet.
If you're an investor: This is the strongest signal yet that AI spending may be running ahead of returns. The Goldman report doesn't say AI is a bubble — but it's the closest Wall Street has come to saying it out loud.
Why this matters beyond the numbers
We're watching a pattern economists have seen before. The internet didn't boost productivity until years after the initial investment wave. Electricity took decades to reshape factory output. AI may follow the same arc — massive spending now, measurable returns later.
But the scale is unprecedented. No technology has attracted this much capital this quickly. And with $660 billion more on the way, the gap between expectation and reality is only growing.
The full analysis was originally reported by Futurism.
Related Content — Get Started with Easy Claude Code | Free Learning Guides | More AI News
Stay updated on AI news
Simple explanations of the latest AI developments