dotcom2000

Comparing the AI boom to the dot-com crash of 2000—a classic scare tactic for retail traders, falling apart under dry math: the average forward P/E of the 'Magnificent Seven' for 2026 sits at a reasonable 23.8x (from 17.6x for Meta to 30x for Apple), while at the peak of the bubble in 2000, Cisco and Yahoo were trading at insane multipliers of 200x and 800x, having nothing behind them but presentations. Today's big techs aren't just hollow startups, but leviathans with net income margins above 30% (Nvidia's a staggering 55%), whose cash flow is consistently propped up by the relentless automatic liquidity from U.S. pension funds (401k).

For the crypto market, this fundamental stability of U.S. stocks serves as a powerful hedge: the local deflation of overheated AI assets has shifted capital into crypto, but a massive macro meltdown like in 2000 won’t happen as long as the real profits of the giants continue to grow faster than their market caps.

#Macroeconomics #AIBubble #TradFi #DotCom2000