AI is making production extraordinarily cheap. Reports, analyses, code, presentations, recommendations: what once took days can increasingly be produced in minutes. But there is a catch. As economists @ccatalini, Xiang Hui, and Jane Wu argue in their paper Some Simple Economics of AGI, the cost of production is falling much faster than the cost of verification. As production explodes, verification becomes the bottleneck. And that creates a dangerous asymmetry inside organizations. Producing more is immediately rewarded: lead times shrink, costs fall, volumes rise. Verification, by contrast, remains slow, expensive, and dependent on scarce expertise. So everyone has an incentive to produce more and to verify less. The problem is therefore larger than hallucinations. It is economic and organizational: AI dramatically increases the volume of output without proportionally increasing our capacity to check it. If production becomes abundant, it stops being a source of advantage. Value shifts toward what remains scarce: the ability to verify, guarantee, and take responsibility for what is produced. The next major organizational challenge of AI may therefore not be production. It may be building a verification architecture capable of keeping up with it. My latest Substack article: “AI: When Production Becomes Easy, Verification Becomes Strategic.” available here ⬇️ philippesilberzahn.substack.…