As AI agents outperform average professionals across analysis, engineering, and security work, human labor reorganizes around a scarce function: bearing accountable final signatures.
Once firms discover that a small circle of reviewers can oversee swarms of competent agents, headcount collapses across the middle of the knowledge economy. The remaining human role is not broad production but legal exposure: to sign, certify, and be punishable when something goes wrong. A new labor aristocracy emerges around licensed approvers whose names carry insurance weight, while everyone else competes to feed agent systems with context, maintenance, and edge-case cleanup. Productivity rises, but the social meaning of expertise shrinks into reputational collateral.
At 9:15 p.m. in a rented apartment in Manila, a former consultant watches a dashboard queue of 184 decisions waiting for her biometric approval. She signs risk transfers for three continents before midnight, knowing that one bad signature could erase a decade of savings while the agents beneath the queue never sleep.
Defenders say the arrangement is honest at last: machines produce, humans govern, and responsibility is no longer hidden in committees. Opponents argue that society has turned judgment into a narrow rent-extracting caste and stranded millions in support roles with no path to authority.