Texas Pension Chief Warned of AI Infrastructure Overspend

The Teacher Retirement System of Texas CIO cautioned that excessive spending on AI may lead to industry bankruptcies.

Updated on Sept. 21, 2026 in Artificial Intelligence

Isometric editorial illustration of a large industrial server rack frame and cabling, representing the scale of AI infrastructure investment. — Teacher Retirement System of Texas CIO Jase Auby warned that excessive capital investment in artificial intelligence infrastructure could lead to widespread corporate bankruptcies. AI Illustration. Upload story photo >

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Jase Auby, the CIO of the Teacher Retirement System of Texas, has warned that the current pace of investment in artificial intelligence infrastructure mirrors historical bubbles. He suggests that companies could be overbuilding systems before consumer and business demand catches up to the supply.

Why it matters

The warning highlights concerns that massive capital expenditures in the AI sector may result in widespread bankruptcies. As a systematic risk, this over-investment threatens to impact multiple asset classes and corporate operations across the broader economy.

Capital investment into AI currently accounts for 3.5% of annual U.S. GDP. Additionally, generative AI adoption reached 53% within just three years of the release of ChatGPT.

The players

Jase Auby

He serves as the Chief Investment Officer for the Teacher Retirement System of Texas.

Teacher Retirement System of Texas

This public retirement system manages approximately $225.3 billion in assets for educators.

New York City Retirement Systems

This entity manages a $327 billion fund and has moved to reduce its exposure to AI-related risks.

Anthropic

This artificial intelligence startup recently completed a $65 billion Series H funding round.

Nvidia

This semiconductor company represents a significant equity holding for many institutional pension funds.

The details

Auby compared the current AI gold rush to the buildouts of railroads, canals, and telecommunications infrastructure in the early 2000s. While some institutional investors like the New York City Retirement Systems have already begun rejecting managers to diversify away from AI risk, the Texas fund continues to monitor its significant equity exposure.

The telecom and fiber infrastructure buildout took place in the early 2000s.
The Teacher Retirement System of Texas reported its portfolio investments as of Aug. 31, 2025.
Jagdeep Singh Bachher described AI as a revolution in March 2026.
Anthropic secured $65 billion in Series H funding in May 2026.
Jase Auby spoke at the investment committee meeting in September 2026.

The Tech Race

The current AI infrastructure boom follows a historical pattern established by the early 2000s telecom and fiber infrastructure buildout. Experts are now evaluating whether the scale of current AI capital investment is sustainable or risks mirroring the massive market corrections of past cycles.

For the average pension plan participant, this warning serves as a reminder that large-scale institutional shifts toward AI carry long-term volatility risks. Retirees may see their fund managers adopt more conservative diversification strategies to protect against sector-specific downturns.

The takeaway

The rapid adoption of generative AI, which reached 53% usage in just three years, suggests that consumer demand is growing, but infrastructure costs remain a major hurdle. Investors should pay close attention to whether the massive capital investments by corporations translate into actual revenue realization in the coming years.