OpenAI’s $122 Billion Burn Rate Sparks Debate on AI Spending Excesses

On a recent Animal Spirits Podcast episode, co-host Ben Carlson summed up the AI capex worry plainly: “If there’s one obvious risk that’s going to cause excesses to happen in a big downturn, like AI has to be it.”

The setup was a Wall Street Journal report flagged by his co-host Michael Batnick: OpenAI raised $122 billion in what was the largest funding round in Silicon Valley history, and the company expects to burn through that amount in the next 3 years on computing contracts. CFO Sarah Friar reportedly worried the company might not be able to pay for future computing contracts if revenue doesn’t grow fast enough.

This matters for readers who have never touched ChatGPT. The S&P 500’s recent strength rests atop an AI capital cycle estimated at $635 billion for Big Tech in 2026. If that cycle stalls, the drawdown shows up in your 401(k), your IRA, and any “diversified” target-date fund you own.

The Real Risk: Concentration Inside Your Index Fund

Carlson’s warning is sound. AI capex is the most plausible source of the next equity excess. The lesson for retail investors is that concentration risk hides inside the index funds they already own, not in stock picking or cycle timing.

Look at the numbers. Technology Select Sector SPDR Fund (NYSEARCA: XLK | XLK Price Prediction) is up roughly 53% over the past year. The SPDR S&P 500 ETF Trust (NYSEARCA: SPY) is up about 29% over the same window. Batnick cited 13.7% year-over-year growth in the S&P 500 and 43% in technology as proof that the spending is working. The other read: the index’s return is being driven by the same handful of names doing the AI spending.

Run a scenario. A 55-year-old has $800,000 split 70/30 between an S&P 500 index fund and a total bond fund. On paper, that looks balanced. In practice, the five largest tech names represent roughly a third of the S&P 500. So this investor has about $185,000, roughly 23% of the entire portfolio, riding on five AI capex stories. A 35% drawdown in those names alone, with the rest of the index flat, removes about $65,000. The bond sleeve barely cushions it.

Swap half of the S&P 500 position into the Invesco S&P 500 Equal Weight ETF (NYSEARCA: RSP). The five-name exposure drops to roughly 10% of the total portfolio. Same drawdown, same names: the loss is about $28,000. Cap-weighted index funds quietly become thematic funds when a few stocks get huge.

Who Should Worry and Who Can Ignore This

This applies if you are within ten years of retirement, your equity sleeve is mostly cap-weighted index funds, and you have not rebalanced since 2023. Sequence-of-returns risk turns a paper drawdown into a permanent income cut when you start withdrawing from it.

It does not apply if you are in your 30s with 25 years of dollar-cost averaging ahead. A tech-led drawdown for that investor is a buying window. Carlson flagged Meta’s metaverse pivot as proof that smart executives torch capital, while Batnick countered that $120 billion buys you some time. Both can be right. You still need to know what you own.

Three Things to Do This Week

1. Open your largest equity fund and read the top-10 holdings page. Add up the weights of the top five names. If they exceed 25%, you own a tech bet regardless of the fund label.
2. Aggregate across funds. The same five megacaps show up in your S&P 500 fund, your Nasdaq fund, and your growth fund. Add the dollar exposure across all of them to see your real single-theme bet.
3. Dilute, do not dump. If the number scares you, redirect the next 12 months of contributions into an equal-weight S&P 500 fund or an international developed-markets fund. You rebalance through new money rather than triggering taxable sales.

Carlson’s quote gets the risk right. Most investors hurt in an AI drawdown will have inherited heavy tech exposure from cap-weighted index funds they assumed were diversified.