The AI Bubble: A Tale of Two Overlapping Bubbles
The AI bubble is no ordinary financial phenomenon. It's a complex, multi-layered story that's captivating and concerning in equal measure. While it may share some similarities with past bubbles, there are crucial differences that make it unique and potentially more dangerous. In this article, I'll delve into the AI bubble, exploring its insularity, its impact on the broader economy, and the potential consequences when it inevitably bursts.
The AI Bubble: A Tale of Two Overlapping Bubbles
The AI bubble is not just one phenomenon; it's two overlapping bubbles. On one hand, there's the capital expenditure bubble, fueled by the massive spending on physical infrastructure and software development. Silicon Valley is building 1,500 data centers and purchasing a mammoth quantity of semiconductor chips, with Big Tech firms like Amazon, Microsoft, Alphabet, and Meta leading the charge. This spending is driving up the value of farmland, construction employment, and utility costs.
On the other hand, there's the valuation bubble, driven by the excitement about the money to be made when AI starts bolstering productivity and profits. The Magnificent Seven tech companies now account for one-third of the value of the S&P 500, with OpenAI valued at more than Eli Lilly, JPMorgan Chase, Visa, Costco, Exxon Mobil, Wells Fargo, CVS Health, McDonald's, and Boeing combined. This surge in revenue and excitement is driving up valuations, but it also puts immense pressure on tech companies to generate huge revenues and profits to justify these valuations.
The Insularity of the AI Bubble
What makes the AI bubble truly unique is its insularity. Unlike past bubbles, where regular people were staking their savings on what seemed like a winning bet, the AI bubble is driven by hyper-rich corporations. Uncle Ted and Aunt Linda aren't really getting in on the AI frenzy, and the share of Americans who own stocks has held steady. Household debt has grown, but it has fallen relative to disposable income and GDP.
This insularity means that the AI bubble is less fragile and longer-lasting than past bubbles. However, it also means that the consequences of its bursting will be more severe. When the bubble bursts, Uncle Ted and Aunt Linda will be affected, even if they were never the ones stoking the frenzy. Their retirement plans and pensions are invested in Silicon Valley stocks that could drop, and their small businesses are reliant on access to credit that might get throttled.
The Risks of the AI Bubble
The risks of the AI bubble are significant. Tech companies are going to need to start generating huge revenues and profits to justify these valuations, and the pressure is on. OpenAI needs to spin up roughly $100 billion in free cash flow by 2030, according to calculations by Harrison Rolfes of PitchBook. Analysts expect it will lose $10 billion to $30 billion that year. If it does—or if more communities ban data centers, or if non-tech companies prove reticent about purchasing AI software, or if China develops AI models that do not require so much computing power—we could be in for a massive correction.
The AI economy is a trillion-dollar ouroboros of buying and selling, investment and equity staking, all happening between San Francisco and San Jose. Big Tech is advancing money to AI start-ups to buy cloud services from Big Tech, which is using the revenue to run new AI models. What happens to one firm could happen to all of them.
The Leverage Problem
Another risk of the AI bubble is the leverage problem. In the early days of AI, venture capitalists, wealthy individuals, and Big Tech firms used hard cash to invest in the new technology. But the build-out has proven so expensive that Silicon Valley has turned to corporate bonds and private credit, meaning loans made by entities other than banks. This makes the ultimate distribution of risk less transparent, and lenders are already getting queasy.
The Broader Economic Impact
The AI bubble has broader economic implications. The surge in revenue and excitement is driving up valuations, but it also puts immense pressure on tech companies to generate huge revenues and profits. This pressure could lead to a massive correction, with far-reaching consequences for the broader economy. When the bubble bursts, the impact will be felt by everyone, from tech companies to small businesses and individuals.
The Takeaway
The AI bubble is a fascinating and concerning phenomenon. It's a tale of two overlapping bubbles, driven by hyper-rich corporations and fueled by massive spending on physical infrastructure and software development. While it may share some similarities with past bubbles, there are crucial differences that make it unique and potentially more dangerous. As we navigate this complex and uncertain landscape, it's essential to understand the risks and implications of the AI bubble, and to be prepared for the consequences when it inevitably bursts.
