The AI Crisis Is MUCH Worse Than You Think

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AI Crash Warning: The 2028 Intelligence Crisis
A controversial research scenario warns that AI could trigger a major economic downturn. The theory predicts markets peaking around 2026 before a severe decline, rising unemployment, collapsing consumer spending, and mortgage stress. The risk is not a sudden shock, but mounting pressure beneath the surface as AI reshapes work and income.

The Intelligence Displacement Spiral
As AI replaces white-collar roles, displaced workers lose income and cut spending. Businesses then invest more in automation to reduce costs, causing further layoffs and weaker demand. Unlike past recessions, this cycle could reinforce itself because the technology driving it keeps improving and getting cheaper.

Phase 1: Software Collapse
AI coding tools may allow companies to build internal software instead of paying large SaaS fees. Pricing pressure and cancellations could hurt platforms and trigger layoffs as firms cut costs and automate operations.

Phase 2: Zero-Friction Economy
AI agents could handle shopping, insurance, taxes, travel, and financial decisions. Fees and commissions shrink, payment rails shift to low-cost settlement, and traditional intermediaries face revenue pressure.

Phase 3: Wage Compression & Service Flood
High-income professionals forced into lower-pay work increase labor supply in service sectors, pushing wages down. Since top earners drive a large share of spending, income losses ripple through the economy.

Phase 4: Private Credit Stress
Software and tech debt funded during growth years could deteriorate as AI disrupts business models. Some financing structures involve retirement and insurance assets, potentially exposing everyday savers.

Phase 5: Mortgage & Housing Pressure
Income loss and forced selling could weaken housing markets, even among prime borrowers. The concern is not bad loans, but changing economic conditions after loans were issued.

Evidence Supporting the Risk
Executives and researchers warn AI may eliminate significant white-collar work. Hiring declines, tech layoffs, and private credit vulnerabilities suggest early signs of disruption, though outcomes remain uncertain.

The Counter Scenario: Intelligence Boom
Critics argue technological change historically creates new work and unfolds slowly. Automation fears in the 1960s, the internet era, and crypto disruption were overstated. Lower costs from AI could boost consumer spending and enable entrepreneurship.

Why the Timeline May Be Overstated
Businesses adapt, workers retrain, and new industries emerge. Current data shows limited macro job impact so far, and some layoffs attributed to AI may reflect broader economic pressures.

What This Means for You
Diversify income sources, learn AI tools, keep investing with a long-term mindset, maintain a strong emergency fund, and avoid panic decisions. Technological change brings disruption, but adaptation and preparation reduce risk.

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