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“Markets are driven by narratives as much as by numbers.”
- Robert Shiller
Financial markets don't crash because of data. Not because of an earnings report, an interest-rate decision or a geopolitical shock.
They crash because of a story.
In modern markets, asset prices don't just reflect current cash flows. They reflect narratives about the future - the story investors believe might happen next.
Late February 2026, Wall Street had one such moment.
On February 22, 2026, Citrini Research published a more than 7,000-word post on Substack titled “The 2028 Global Intelligence Crisis.” The piece wasn't a traditional forecast but written as a memo from the future: assuming that by 2028, AI's breakneck development had triggered a chain reaction in the economy - layoffs of knowledge workers, weakening consumption, credit stress and ultimately a sharp adjustment in asset markets.
The author stressed it was just a tail-risk scenario (an extreme, low-probability outcome), not an official forecast. But just days after the post went viral, markets began to react. A slew of software stocks and businesses vulnerable to AI disintermediating middleman roles - from Salesforce and Snowflake to Visa and Mastercard - faced selling pressure, while capital continued rotating into semiconductor firms and AI infrastructure plays. Citrini didn't create this trend. But it did something more important: it turned a vague anxiety into a clear narrative markets could price.And that narrative revolves around a simple question: If AI truly succeeds, where will that success flow - to workers' wages or to capital's profits?In today's post, Viethustler breaks it down in six parts:Part I – The Mechanism in the Citrini Scenario:
AI → knowledge worker layoffs → weakening consumption → asset shock
Part II – Citrini Report:
the “Global Intelligence Crisis” story and why markets reacted so strongly
Part III – Ghost GDP: when productivity and profits rise but the income of the masses doesn't keep up
Part IV – Citrini Scenario Strengths: structural risks AI could create, from pressure on knowledge workers to upending the relationship between productivity, income and consumption.
Part V – Citrini Scenario Weaknesses: policy responses, labor market adaptability and frictions in scaling technology economy-wide.
Part VI – The Bigger Question: if AI truly succeeds, will the productivity gains flow to labor or to capital.
PART I - CITRINI: WHEN AI THREATENS THE ECONOMIC VIRTUOUS CYCLE At a glance, many might dismiss the Citrini Report as just another “AI doom” piece: the familiar tale of new technology displacing labor and causing unemployment.
But that's not its focus. Citrini's key insight isn't predicting AI will be powerful. Nearly everyone agrees on that. Its deeper argument: if AI is powerful enough, it could break the basic circulatory mechanism of the modern economy.
