AI optimizes production, but erodes the buyer
by Miguel Lucas
Fewer jobs. Lower wages. Less disposable income. Less consumption. AI optimizes production, but erodes the buyer. And without buyers, production is irrelevant. Who will purchase the products in this new wave of economic growth?
Henry Ford understood this in 1914. He doubled his workers’ wages to five dollars a day — not out of altruism, but because of what he himself called “one of the finest cost-cutting moves we ever made” 1. The assembly line had cut Model T assembly time from 12.5 hours to 93 minutes, but annual staff turnover had reached 370% 2. Ford needed to keep his workers. And he needed them to be able to buy his cars. A producer who destroys his consumer destroys himself.
Throughout the twentieth century, that logic held. Industrial automation displaced manual labor, but did not permanently contract aggregate demand or net employment. The workforce reabsorbed into services and the knowledge economy 3. Higher productivity generated higher incomes and higher demand. The system fed itself.
AI threatens to break that cycle. And the data is already showing it: since 2019, real hourly wages in the U.S. have grown just 3%, while corporate profits have surged 43% 4. Nvidia today is worth twenty times what IBM was in 1985 (adjusted for inflation), yet operates with barely a tenth of its headcount 4. Market value has decoupled from job creation. And Anthropic CEO Dario Amodei has warned that AI could eliminate up to 50% of entry-level white-collar jobs within five years 5.
Every company that automates makes a rational calculation: lower labor costs, higher margins. But collectively they are eroding the consumer base they need in order to grow. Falk and Tsoukalas formalized this in their paper “The AI Layoff Trap” 6: a market-scale prisoner’s dilemma where the rational calculation of each individual actor produces a collectively self-destructive outcome for aggregate consumption. The firm that automates captures 100% of the savings, but the demand loss is spread across every player in the sector. The more competitors, the weaker the incentive to hold back. At the limit, the market collapses: maximum automation and the wholesale destruction of consumer income.
This is not a problem of intent. It is structural. No one is going to slow their AI adoption to preserve the consumer base. But the aggregate result is self-defeating. The company that automates most aggressively today is — without knowing it — helping to destroy its own market tomorrow.
Ford knew who was going to buy his cars: the same people who built them. The question AI leaves unanswered is more uncomfortable: if the machine produces but doesn’t get paid, who buys? That’s not an ideological question. It’s the most important business-model question of the next decade.
Related theses
- Thesis 12 Alongside astonishing successes, AI will fail with the same eloquence. And it will not warn you when it crosses the line.
- Thesis 26 The intimacy you share with AI is not the price of progress. It is the most silent transfer of power of our time.
- Thesis 04 For the first time, technology no longer carries the conversation. It is part of it.
- Thesis 24 AI does not invent its biases. It inherits them.
References
- Raff & Summers — Did Henry Ford Pay Efficiency Wages? (NBER) ↩
- The Henry Ford Museum — Ford's Five-Dollar Day ↩
- Quartz — The history of automation and jobs: Will AI be different? ↩
- Greg Ip — Capital, Labor, and the Wealth of Today's Economy (WSJ) ↩
- AIMultiple — Top 20 Predictions from Experts on AI Job Loss ↩
- Falk & Tsoukalas — The AI Layoff Trap (arXiv) ↩