AI Investment Created Economic Imbalance, Analyst Warns

Apollo Global Management economist Torsten Slok argues that rapid AI spending is drawing resources from the wider economy.

Updated on Oct. 10, 2026 in Artificial Intelligence

Isometric editorial illustration of a heavy-duty electrical transformer station, representing large-scale industrial resource consumption. — Apollo Global Management Chief Economist Torsten Slok warns that rapid AI infrastructure spending is draining critical capital and energy resources from the broader U.S. economy. AI Illustration. Upload story photo >

Live Poll

Do you believe the current AI investment boom is hurting the broader U.S. economy?

Apollo Global Management Chief Economist Torsten Slok has characterized the massive expansion of the artificial intelligence sector as a form of Dutch disease. He warns that the rapid buildout of data centers and AI infrastructure is aggressively absorbing capital, electricity, and labor.

Why it matters

The massive scale of current AI infrastructure spending is creating a demand for capital and power that complicates the Federal Reserve's effort to manage interest rates. These elevated borrowing costs are placing significant pressure on other sectors, including housing and automotive manufacturing.

AI investment is accelerating at an annual rate of 0.85 percentage points of GDP, significantly outpacing the historical peaks of the housing boom and the telecom investment cycle. Meanwhile, the Global X Artificial Intelligence and Technology ETF and the iShares U.S. Technology ETF have seen gains of 30% and 34%, respectively, over the past year.

The players

Torsten Slok

He is the Chief Economist at Apollo Global Management and a prominent analyst of macroeconomic trends.

Federal Reserve

It is the central banking system of the United States tasked with managing interest rates and monetary policy.

Apollo Global Management

This is a global alternative investment management firm that provides economic research and financial insights.

The details

Hyperscalers continue to pour funds into AI capabilities regardless of the current high interest rate environment. This intense focus on building AI capacity creates a resource-draining effect, effectively competing with other industries for critical inputs.

October 9, 2026: Torsten Slok released an analysis note regarding AI economic impacts.
2027: Capital expenditure in the AI sector is projected to reach new highs.

The Tech Race

This trend represents a shift in capital allocation, mirroring historical economic phenomena like the Dutch disease where a single sector crowds out others. It highlights a departure from previous tech investment cycles that were less resource-intensive compared to the current AI buildout.

The competition for capital and energy resources driven by AI expansion may contribute to higher interest rates, impacting borrowing costs for mortgages and auto loans. Consumers might see continued pressure on these sectors as long as hyperscalers prioritize AI infrastructure spending.

The takeaway

The massive reallocation of resources toward AI infrastructure poses a challenge for traditional economic growth models. Readers should monitor whether capital expenditures in 2027 sustain these trends or if a cooling of demand shifts the current economic balance.