The token economy: The state of AI mid-2026
Gigawatt factories in the Texas scrub. Thirty trillion tokens a day. A $30 billion storage company, a search engine built for machines, and a continent trying to buy its independence one graphics processing unit at a time. Three years after ChatGPT, the artificial intelligence business has stopped being a demo and started being an economy — and the economy is about to get audited.
Gigawatt factories in the Texas scrub. Thirty trillion tokens a day. A $30 billion storage company, a search engine built for machines, and a continent trying to buy its independence one graphics processing unit at a time. Three years after ChatGPT, the artificial intelligence business has stopped being a demo and started being an economy — and the economy is about to get audited.
Drive west out of Abilene, Texas, and the future of the technology industry announces itself the way heavy industry always has: earthworks, transmission lines and steel going up faster than seems entirely plausible. On more than 980 acres, Crusoe Inc. — a company that began its life burning waste natural gas to mine bitcoin — is building what may be the largest concentration of computing power ever assembled.
The first phase is live, serving Oracle Corp.’s and OpenAI Group PBC’s Stargate program. The expansion underway takes the campus to 1.2 gigawatts. In March, Crusoe announced a second, adjacent 900-megawatt campus dedicated to Microsoft. Full buildout points toward 2.1 gigawatts on a single site — roughly the output of two nuclear reactors, feeding on the order of 400,000 top-shelf GPUs.
It is worth pausing on what that is. Not a data center in the old sense — a beige building humming politely at the edge of a suburb — but a factory, in the literal sense the industry has now adopted without irony. Energy goes in one end; intelligence, metered in tokens, comes out the other. Crusoe raised $1.375 billion in late 2025 at a valuation north of $10 billion, with more reportedly coming, and secured 4.5 gigawatts of natural gas through a joint venture to keep the production lines fed. The company’s founding insight — put compute where energy is cheap and stranded, because moving electrons is harder than moving data — has gone from a crypto-era arbitrage to the organizing principle of a global buildout.