Modern AI development has shifted from simple assistance to total labor replacement. While companies use terms like copilot, their financial models require cutting human costs at scale to justify massive valuations. OpenAI is now valued north of $800 billion, creating immense pressure to monetize these models by replacing professional roles across dozens of occupations.

This creates a prisoners dilemma described as the AI Layoff Trap. Individual firms automate to gain a competitive edge and boost stock prices, but this collective action destroys the broader consumer base. When workers lose their income, they stop spending, which eventually stalls revenue for the very companies that replaced them to save money.

Unlike the Industrial Revolution, which took decades to adjust, this shift happens in years. General-purpose AI targets cognitive labor comprehensively rather than narrow tasks. This speed mirrors the China shock, where manufacturing losses reshaped politics quickly. The current model risks eliminating the customer base by treating human labor as a cost center to be removed.

Investment in AI infrastructure now reaches hundreds of billions of dollars. These firms use benchmarks like GDPVal to prove models can outperform humans in 44 different professions. This drive for efficiency risks a systemic collapse where software's zero marginal cost eliminates the workers who buy the products.