Key Takeaways

  • Ronald Coase won a Nobel Prize for explaining why firms exist: they reduce internal coordination costs, acting as mini "central planning" units within otherwise efficient markets.
  • John Collison of Stripe applies this theory to AI, stating that in the near term, AI makes internal firm coordination more efficient, streamlining existing operations.
  • But the larger shift, in the medium term, is AI's ability to drastically cut the cost of coordinating through external markets, making it cheaper to get things done outside your company.
  • This will lead to a future with more firms overall, fewer people per firm, higher output per firm, and greater reliance on market-like mechanisms for economic activity.
  • Founders should prepare for a world where hiring full-time for specialized tasks becomes a less competitive option compared to efficiently coordinating with external talent or services via AI.

The Enduring Riddle of the Firm

Imagine a perfect market, where every transaction is seamless and cheap. If such a market existed, why would companies bother forming at all? Why create internal hierarchies, payrolls, and endless meetings? This was the core question Nobel laureate Ronald Coase posed. His answer: firms exist because coordinating inside a company is often actually cheaper and easier than coordinating through markets. As John Collison puts it, “If markets are so efficient, why do we keep building little islands of central planning inside markets?” Coase argued that a company is essentially an “island of central planning” designed to minimize the friction of getting work done. When internal coordination costs outweigh external market costs, a firm grows; when markets get efficient enough, the firm shrinks or disbands.

AI: First an Internal Boost, Then a Market Shaker

Collison sees AI playing a dual role in this Coasean dynamic. In the immediate future, AI is a powerful internal tool. It helps existing companies work better, faster. “In the near term, the within-firm effect is the most obvious,” Collison notes. Companies use AI to improve internal processes, share context, align incentives, and streamline communication. This makes the "central planning" within the firm even more efficient. For now, AI helps you run your current operation tighter.

But don't get comfortable. The real seismic shift is coming. Collison warns that “in the medium term, external markets are likely to get even more efficient.” This is where AI truly re-architects the economy. Think about all the friction in working with external partners today: finding the right talent, managing contracts, ensuring quality, coordinating deliverables across time zones and communication styles. AI can obliterate much of that friction, making it almost as easy to "hire" a task from the global market as it is to assign it to an internal employee.

Your Future: More Startups, Leaner Teams, Global Reach

So, what does this mean for ambitious builders and founders in their 20s and 30s? Collison's forecast is clear: “on net, with AI, we expect fewer people per firm, more output per firm, just more firms, and more coordination happening through market-like mechanisms.” This isn't about automating away jobs inside a company; it's about making it vastly cheaper to source specialized skills and execute projects outside your company structure. This opens the door for a wave of hyper-lean startups, even solopreneurs, who can tap into a global, AI-coordinated workforce to achieve scale that once required massive internal teams. Your competitive advantage will shift from what you can build in-house to how effectively you can orchestrate external market forces.

What to Do With This

Identify one specialized function you're considering hiring for, or one that’s currently a bottleneck within your small team (e.g., content creation, niche marketing, data analysis). Instead of defaulting to a full-time hire, commit to sourcing and managing that function entirely through AI-enabled market mechanisms for a 60-day trial. Use new AI tools to find, vet, and coordinate highly specialized freelancers or micro-agencies globally, directly testing how low AI has driven external coordination costs for your specific needs.