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Robert Kiyosaki warns the ‘biggest crash in history’ is starting, says millions to ‘lose everything.’ How prepare now

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Robert Kiyosaki warns the ‘biggest crash in history’ is starting, says millions to ‘lose everything.’ How prepare now

Robert Kiyosaki warns of a global downturn driven by AI-related job losses that will hit office and residential real estate and broader markets, reiterating his decade-long crash forecast. He recommends defensive allocations into gold, silver and cryptocurrencies, naming specific targets — silver to $70 and potentially $200 by 2026, gold to $27,000, and Bitcoin to $250,000 by 2026 — and notes owning two gold mines. The piece also highlights practical risk-management steps: Precious metals IRAs, maintaining a 3–6 month emergency fund, and using cash-management fintech options such as a Wealthfront Cash Account (base APY 3.50%, promotional 4.15% for three months, FDIC insurance up to $8M).

Analysis

Market structure: A Kiyosaki-driven risk-off narrative favors hard assets and trading venues that monetize volatility. Direct winners: gold/silver producers & royalty firms (FNV, NEM, PAAS), commodity ETFs (GLD, SLV, GDX, SIL), and exchanges (NDAQ, CME) that collect fees on elevated volume; losers: office and occupancy-sensitive REITs (VNO, SLG) and labor-intensive staffing/consumer discretionary names as layoffs compress demand. Industrial silver demand versus investment demand will determine relative upside — if industrial activity slows, silver’s speculative premium must compensate.

Risk assessment: Key tail risks include a harsh regulatory crackdown on crypto (SEC/EU actions), a sharp Fed policy pivot to aggressive tightening that crushes gold, or a systemic credit event that deflates all risky assets including miners. Immediate (days): volatility spikes and equity drawdowns; short-term (weeks–months): flow-driven repricing of metals and crypto; long-term (quarters–years): structural AI adoption reshapes labor markets and real estate occupancy. Hidden dependencies: miners’ exposure to energy costs and royalty streams; exchanges’ revenue tied to trading volume, not prices.

Trade implications: Favor asymmetric exposures — concentrated small-size longs in royalty/low-cost producers and call-spread exposure to BTC/ETH rather than naked longs. Implement pair trades: long FNV/GDX vs short VNO/SLG to express safe-haven vs office decay. Use options to buy downside protection on core equity book (3–6 month puts sized to cover a 5–10% portfolio drawdown) and 9–12 month call spreads on GDX/GLD to capture metal rallies while limiting capital.

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