Citrini Report Warns of AI-Driven Job Losses Leading to Economic Crisis by 2028
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Key Takeaway
A report from Citrini Research warns that unchecked AI adoption could lead to significant job losses and economic instability, predicting U.S. unemployment could exceed 10% by 2028. The analysis highlights a cycle where AI adoption reduces the need for white-collar workers, leading to layoffs and decreased consumer spending.
JobGoneToAI Analysis
AI-driven job displacement continues to reshape industries worldwide. This report contributes to our ongoing documentation of how companies are restructuring their workforces in response to advances in artificial intelligence. Every data point in our tracker is verified against company announcements, SEC filings, or coverage from trusted publications before inclusion.
The data in this report feeds into our AI Layoff Tracker, which provides the most comprehensive, publicly accessible dataset of AI-attributed workforce changes. If you work in a role affected by these changes, check our Job Risk Index for data on how AI is affecting specific occupations, and our Career Survival Guide for actionable steps to navigate this transition.
From the Original Report
News » AI job losses could trigger 2028 economic crisis, Citrini report warns AI job losses could trigger 2028 economic crisis, Citrini report warns Julliana Anne Briones Posted on March 4, 2026 3 min read Copied URL NEW YORK, UNITED STATES — A newly modeled scenario analysis from Citrini Research warns that unchecked artificial
intelligence (AI) adoption could drive United States unemployment above 10% by mid-2028, trigger a 38% stock market decline, and threaten the $13 trillion mortgage market. Framed as a “thought exercise from the future,” the report outlines a self-reinforcing “intelligence displacement spiral” that eliminates white-collar jobs faster than the
global economy can adapt. Citrini notes , “In every way, AI was exceeding expectations, and the market was AI. The only problem. [The] economy was not.” “AI capabilities improved, companies needed fewer workers, [white-collar] layoffs increased, displaced workers spent less, [and] margin pressure pushed firms to invest more in
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Original Source
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