584: Is AI Becoming the Biggest Infrastructure Overbuild in History?
There's a massive investment boom underway right now, and almost everyone seems convinced it's just getting started. I'm talking, of course, about artificial intelligence. Technology companies are spending hundreds of billions building data centers. Utilities are scrambling to produce enough electricity. Natural gas turbines are being bought up, nuclear power is making a comeback, and entire regions are preparing for an explosion in energy demand. The conventional wisdom is simple: AI is going to change everything, and we're going to need an extraordinary amount of infrastructure to support it. But what if we're dramatically overestimating how much infrastructure we'll actually need? Here's why I think that's an interesting question. We've seen something like this before. During the early days of the internet, there were similar concerns about explosive growth in computing and electricity demand. But then something remarkable happened. Between 2010 and 2018, data center computing output increased sixfold, while electricity consumption increased by just 6%. Six times the computing power. Almost no increase in electricity consumption. How? Technology got better. Chips became more efficient, and computing moved into enormous centralized facilities that operated far more efficiently than smaller corporate data centers. Now think about AI. Today, we're using extraordinarily powerful models for everything from groundbreaking scientific research to writing emails and answering relatively simple questions. But do we really need a Ferrari engine every time we drive to the grocery store? Probably not. Smaller AI models are already demonstrating that they can handle many tasks with a fraction of the computing power. And we're still in the early innings of figuring out how to use this technology efficiently. Meanwhile, the big technology companies are racing to build infrastructure as fast as possible. We're talking about an estimated $700–800 billion in spending this year alone. That's an extraordinary bet on future demand. And here's another wrinkle: much of AI's explosive adoption has occurred while companies have been practically giving away their services. What happens when customers actually have to pay the full cost? As investors, I think there's a critical distinction worth remembering: Being right about a revolutionary technology doesn't necessarily mean being right about the investments being made to support it. Remember the dot-com boom? The internet absolutely changed the world. But that didn't stop investors from losing fortunes on telecommunications infrastructure and technology companies that were supposed to benefit from it. Could we be watching history repeat itself? And there's another potential casualty here. If utilities build billions of dollars in power infrastructure for demand that never materializes, ordinary electricity customers could end up footing the bill. To be clear, I'm not bearish on AI. Quite the opposite. But I do wonder whether the excitement surrounding it is creating some very expensive assumptions. This week on Wealth Formula Podcast, I speak with Jonathan Koomey, a longtime energy and computing researcher formerly at Lawrence Berkeley National Laboratory. We explore whether the AI electricity boom is sustainable, why current demand forecasts might be wildly optimistic, and what all of this could mean for investors. It's a fascinating conversation that might make you rethink one of the biggest investment narratives of our time.




