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Top housing economist Mark Zandi warns of widespread job losses

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Top housing economist Mark Zandi warns of widespread job losses

Layoffs Can Be Bad Business: 5 Strategies to Consider Before Cutting Staff  | Working Knowledge
Moody’s Analytics Chief Economist Mark Zandi warned in March 2026 that the U.S. labor market is approaching a “Cortés moment” with artificial intelligence, suggesting businesses are nearing a point of no return where irreversible AI adoption could lead to widespread job losses.
 
Key Warnings & Economic Outlook
  • Irreversible Commitment: Zandi used the analogy of 16th-century explorer Hernán Cortés, who burned his ships to prevent retreat, to describe how firms are making structural bets on AI that make returning to old models impossible.
  • “Dead Ahead” Impact: He described the labor market as “fragile and highly vulnerable,” noting that while AI’s impact hasn’t fully shown up in productivity data yet, it is “dead ahead” and already weighing on hiring rates.
  • Hiring vs. Layoffs: Zandi clarified that current AI-related pressure is felt primarily through weaker hiring rather than mass layoffs, but warned that if firms follow the lead of companies like Block (which cut its workforce by 40%), outright job losses will become increasingly likely.
  • Reliance on Healthcare: He pointed out that nearly all job growth in the past year has come from the healthcare sector. Without this single buffer, Zandi argues the economy would already be losing a significant number of jobs.
 
2026 AI Scenarios
In a report from Moody’s Analytics, Zandi outlined four potential paths for the AI economy in 2026:
  1. AI-Empowered Expansion (40% probability): A smooth transition where productivity gains lead to prosperity.
  2. AI Correction (25% probability): AI fails to meet revenue expectations, causing a tech stock plunge and recession.
  3. Jobs Upheaval (20% probability): Rapid adoption outpaces the market’s ability to adjust, hurting many workers.1990s-Style Boom (15% probability): A gradual but massive productivity gain similar to the early internet era.
Would you like to see a breakdown of the industries Zandi identifies as most vulnerable to these AI-driven structural changes?

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