$700 Billion and Most Investors Are Watching The Wrong Companies

The smartest technology analyst you’ve probably never heard of just published a presentation that reframes the entire AI investment thesis — and if you’re still thinking about this as a software story, you’re already behind. Benedict Evans — former Andreessen Horowitz partner, and one of the clearest thinkers in technology and capital — laid out a case that the AI boom is less like the software revolution and more like the railroad era. The four largest tech companies alone are expected to spend roughly $700 billion on infrastructure in 2026. That’s nearly triple the annual capital spending of the entire global telecom industry. And just like railroads, the companies building the tracks may matter far more than the ones buying the tickets. That realization points to a specific set of companies — in power generation, grid infrastructure, semiconductors, data centers, and enterprise software — that are positioned to get paid no matter which AI model “wins.” The picks-and-shovels playbook has worked through every major technology transition in history. Here’s why it may work again now, and exactly where to look. One of the most useful documents I’ve read on artificial intelligence this year doesn’t predict what’s going to happen. It explains what questions investors should be asking. The presentation is called AI Eats the World , and it was put together by Benedict Evans. If you’re not familiar with Evans, he spent years as a partner at Andreessen Horowitz after a career in equity research and telecommunications strategy. Unlike many technology commentators, Evans approaches technology as both an investor and an economist. He spends very little time making grand predictions and a great deal of time thinking about incentives, business models, capital allocation, and how value actually gets captured. That last point is important. The technology industry has a long history of creating enormous value while simultaneously destroying shareholder capital. Railroads changed America. Airlines changed the world. Telecommunications networks connected the globe. Investors who owned the wrong companies during those revolutions often discovered that being right about the future and making money are two very different things. That may end up being the most important lesson from the current AI boom. Right now, everyone is obsessed with artificial intelligence. Every earnings call mentions it. Every venture capitalist is funding it. Every corporate executive is trying to explain how it fits into their business model. Every stock promoter on social media has discovered that adding the letters “AI” to a company description is apparently worth an extra 20% on the share price. Evans takes a step back and asks a simple question: What if AI is not primarily a software story? What if it’s a capital spending story? The numbers are staggering. Microsoft, Amazon, Alphabet, and Meta are expected to spend roughly $700 billion on capital expenditures in 2026. The four largest technology companies are planning to spend nearly three-quarters of a trillion dollars in a single year building infrastructure — more than double what they were spending only a few years ago. For perspective, Evans notes that global telecommunications capital spending runs roughly $300 billion annually. Global oil and gas capital spending is around $1 trillion. Artificial intelligence has become one of the largest infrastructure construction projects in human history. Everyone focuses on Nvidia (NVDA) because the stock has become the poster child of the AI era. Evans points out that Nvidia can’t get enough capacity from Taiwan Semiconductor Manufacturing (TSM) fast enough to satisfy demand. Semiconductor manufacturers are scrambling. Memory suppliers are scrambling. Data center developers are scrambling. Electric utilities are scrambling. Construction companies are scrambling. That observation leads to the first investment conclusion: if AI really does transform the economy, the biggest winners may not be software companies. They may be the businesses selling picks, shovels, and electricity. The Power Story Everyone Is Still Underestimating Every AI query requires electricity. Every inference requires electricity. Every data center requires electricity. The more you study the AI boom, the clearer it becomes that power generation and transmission are among the most overlooked investment themes in the market. Constellation Energy (NYSE: CEG ) is probably the purest publicly traded AI power story. The company operates the largest fleet of nuclear power plants in the United States, producing roughly 10% of all carbon-free electricity generated in the country. AI data ... Full story available on Benzinga.com