Just Another Bear

The supreme intelligence resurrected Irving Fisher for u... AI doesn’t need to be reliably capable today. Firms only need to believe: AI will soon make cognition cheaper, and their competitors believe it too. That belief alone changes behavior now. 1) Expectations create a “race to pre-cut” Each firm reasons: “If AI is going to halve the cost of output in 12–24 months, the winning move is to lower my cost base now.” “If I don’t cut headcount/seats/services now, my competitor will, and they’ll underprice me / outspend me on distribution / survive a margin war.” So even if AI is currently mediocre, firms play it like a prisoner’s dilemma: If everyone holds steady, everyone’s fine (but nobody wants to be the sucker). If one cuts early and it works, they win big. If everyone cuts early, the whole sector deflates together. This produces synchronized austerity—the most Fisher-ish ingredient there is. Darazor-Fisher-Nash Ai Labor Equilibrium Trap Theorem 1)Over-commitment (the leverage base). The economy enters the AI era with large fixed commitments priced for scarce human cognition: payroll bands, layered org charts, multi-year SaaS seat deals, agency retainers, office leases, and household mortgages. 2)A new expectation takes hold. Firms come to believe that soon AI will compress the cost and time of many knowledge tasks. The crucial point: AI need not reliably deliver today—only the expectation of eventual delivery must be widespread. 3)Competitive inference (the game begins). Each firm reasons: “If my rivals think cognition gets cheaper, they will cut first and reprice first. If I don’t cut, I become the high-cost producer.” Thus, cutting becomes rational even under uncertainty. 4)Preemptive liquidation replaces reactive liquidation. What Fisher called “distress selling” appears in advance: hiring freezes, headcount reduction, contractor purge, agency cancellations, tool consolidation, and “AI-first” workflow mandates—before any revenue collapse is visible. 5)Simultaneous cost-cutting becomes coordinated deflation. Because many firms act on the same belief at once, the sector experiences synchronized demand withdrawal: fewer seats purchased, fewer projects commissioned, fewer roles posted, fewer promotions granted. 6)The price level of knowledge work falls. Rates compress, wage growth stalls, billable hours per project shrink, junior labor demand collapses, and seat-based software faces downward pressure (or forced migration to usage models). The “unit price” of human-hours declines. 7)Real burdens rise (the Fisher pivot). As the price of cognition falls, the real weight of fixed commitments rises: the same lease, debt service, minimum software commits, and household payments must be met with a cheaper cognition revenue base. 8)Balance sheets deteriorate; insolvency risk spreads. Services-heavy firms, agencies, BPO, tool vendors dependent on seats, and households dependent on high knowledge-worker incomes face rising default/downsizing pressure. Forced consolidation accelerates job loss. 9)Precautionary hoarding and credit tightening. Management hoards cash, raises approval thresholds, slows procurement, cuts experimentation, and delays hiring. Lenders and investors demand profitability now, reinforcing austerity. 10)The expectation becomes self-fulfilling. The collective act of cutting reduces incomes and demand, creating genuine weakness that “validates” the original belief and produces further cuts—regardless of whether AI capability has yet matched the myth. 11)A deflationary equilibrium forms. The economy resets around fewer humans per unit of output, fewer seats, more variable contracting, and lower marginal demand for generalist cognition—until new demand absorbers emerge.