But even if two companies use exactly the same AI model, their economic opportunities may differ by orders of magnitude. They can afford to launch ten agents. The second is ten million. And these ten million will constantly experiment, compete, learn, test hypotheses and improve strategies. Perhaps the future will be determined not by who has access to AI, but by who can afford to use intelligence on an industrial scale. Now think about your business. Let's say you run a successful technology company. Not a small startup of twenty people, but a fully established organization with five or ten thousand employees. You have your own platform, customers, intellectual property, revenue, profit and a stable market position. You are competing with other companies of a similar size. But what would happen if one of the technology giants, with an artificial intelligence infrastructure more powerful than any other, decided to enter your market? What if he could build, test and grow ten competing businesses faster than your executive team can hold a strategy meeting? Your company may have spent ten years building its competitive advantage. And an army of artificial intelligence agents might reproduce much of those benefits in a fraction of that time. Of course, in a real economy there are regulatory barriers, human relations, physical infrastructure, customer trust and many other factors that cannot be created simply by an LLM. And the biggest AI developers may well find it more profitable to sell intelligence than to compete independently in each market. But what if they still want to? A new economy of intelligence.