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Source document· March 9, 2026

Robert Kiyosaki predicted AI-driven ‘massive unemployment,’ and 2026 might make him a prophet. What’s behind the layoffs

View original at finance.yahoo.com
Robert Kiyosaki predicted AI-driven ‘massive unemployment,’ and 2026 might make him a prophet. What’s behind the layoffs Gage Skidmore/Wikimedia Commons; Justin Sullivan/Getty Images Moneywise and Yahoo Finance LLC may earn commission or revenue through links in the content below…
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  • AI will cause many 'smart students' to lose their jobs and cause massive unemployment, with many still having student loan debt

    60% confidence
  • AI could wipe out half of all entry-level white-collar jobs and push unemployment rate as high as 20% in the next one to five years

    60% confidence
  • Investing in talent and AI tools are not mutually exclusive, and many AI layoffs are just companies underperforming or lacking bigger market opportunity

    60% confidence
  • Work will become optional in the future as AI continues to develop

    60% confidence
  • AI will cause many 'smart students' to lose their jobs and cause massive unemployment, with many still having student loan debt

    60% confidence
  • Work will become optional in the future as AI develops, similar to growing vegetables in your backyard

    60% confidence
  • Gold will soon break through $2,100 and then take off, with next stop being $3,700

    60% confidence
  • Gold will soon break through $2,100 and then take off, with next stop at $3,700

    60% confidence
  • AI cannot fire him because he does not have a job

    60% confidence
  • AI could wipe out half of all entry-level white-collar jobs and push unemployment rate as high as 20% in the next one to five years

    60% confidence
  • Companies are scapegoating AI technology and using it to make good excuses for layoffs, skeptical whether layoffs are due to true efficiency gains

    60% confidence
  • People should become entrepreneurs, at least have a side hustle, and not need job security, then invest in income-producing real estate in a crash which provides steady cash flow

    60% confidence
  • He owns 15,000 houses strictly for investment purposes

    60% confidence
  • Investing in talent and AI tools are not mutually exclusive, and many 'AI layoffs' are just companies underperforming or lacking market opportunity

    60% confidence
  • Recommends becoming entrepreneurs with at least a side hustle and investing in income-producing real estate for steady cash flow

    60% confidence
  • AI cannot fire him because he does not have a job

    60% confidence
  • He became an entrepreneur investing in real estate, using debt, and saving real gold, silver, and Bitcoin instead of following traditional employment advice

    60% confidence
  • Companies are scapegoating AI to make good excuses for layoffs rather than true efficiency gains

    60% confidence
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What we're seeing
Q4 2026 Oncology Data Season and Biotech Capital Allocation: ESMO Readouts, Ivonescimab PDUFA, and Diverging Corporate Moves
Late-2026 biotech is driven by a dense catalyst calendar. ESMO 2026 delivers data from ivonescimab, Enhertu, R-DXd and bemarituzumab, and the FDA has set a 14 Nov PDUFA date for the ivonescimab BLA. Capital allocation is diverging. Krystal Biotech authorized a $400M buyback while lowering FY2026 spend guidance and pushing milestones into 2027. Spago is moving to delist from Nasdaq First North. The facts are clinical and corporate events, not AI or fintech, so the finance angle is limited to capital markets (buybacks, guidance, delistings, regulatory timelines).
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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