The 2028 Global Intelligence Crisis

AI-driven productivity could coexist with weakening consumer demand if displaced workers' incomes and spending fall. That is the central mechanism in Citrini Research's February 2026 scenario, written as a fictional retrospective from June 2028. Its future unemployment and market-crash figures belong to that imagined setting.

In the scenario, businesses replace labor with AI and initially improve their margins. Displaced workers spend less, putting pressure on other businesses, which respond by automating further. The feedback loop shows why savings for individual firms need not immediately translate into broad prosperity. The exercise identifies a possible transmission path from automation to economic stress without establishing how likely it is.

“What if our AI bullishness continues to be right...and what if that’s actually bearish?”

“In every way AI was exceeding expectations, and the market was AI. The only problem… the economy was not.”

“It should have been clear all along that a single GPU cluster in North Dakota generating the output previously attributed to 10,000 white-collar workers in midtown Manhattan is more economic pandemic than economic panacea.”

“When cracks began appearing in the consumer economy, economic pundits popularized the phrase “ Ghost GDP “: output that shows up in the national accounts but never circulates through the real economy.”

“The system turned out to be one long daisy chain of correlated bets on white-collar productivity growth.”