The artificial intelligence boom is no longer just a technology story. It may become a global economic risk.

According to Reuters, investors and analysts are warning that massive AI infrastructure spending could add new inflation pressure in 2026. Big Tech companies are pouring money into data centers, AI chips, memory, power systems, and cloud infrastructure. At the same time, central banks in several regions are expected to keep monetary policy relatively loose, which could add even more money into the economy.

The problem is simple: AI needs enormous resources. More servers mean more semiconductors, more HBM memory, more electricity, more cooling systems, and more construction. If supply cannot grow fast enough, prices may rise — not only for companies, but eventually for consumers too.

Analysts also warn that if inflation becomes stronger, central banks may be forced to raise interest rates again. That could hurt AI stocks, reduce investor appetite, and make it harder to finance new AI projects.

Deutsche Bank estimates that AI infrastructure spending could reach more than $4 trillion by 2030. If that happens, the global economy may face a new question: is the AI revolution boosting productivity — or quietly making everything more expensive?

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