When the Dotcom Bubble Burst

Original Article ↗ Hacker News Discussion ↗

Personal trajectories & resilience

  • Many recount abrupt career pivots triggered by the crash: law grads diverted from securities to bankruptcy, then into startups; engineers laid off who either left tech entirely or slowly rebuilt careers.
  • One detailed story describes ~8 years of underemployment (bartending, adjunct teaching, side projects) before a side anti‑spam project eventually became the seed for a major infrastructure company.
  • Others describe failed startups, loss of savings, and long spells of unemployment; for some, it permanently increased risk‑aversion and skepticism.
  • A few experienced the opposite in later crises (e.g., thriving financially during COVID), underscoring how uneven these shocks are.

Stock options, taxes & investing lessons

  • Multiple horror stories: employees exercised options, incurred huge tax bills on “paper gains,” then saw stock collapse before they could sell, ending up in debt.
  • This drove norms like same‑day sale on exercise and wider use of RSUs with automatic sell‑to‑cover.
  • Discussion of graduating or starting careers in recessions: lower opportunities, “crimped lifetime earnings,” and long‑term risk aversion.
  • Several contrast concentrated stock bets vs. index funds, and the luck involved in picking the rare long‑term winners.

Cisco, shovels, and Nvidia/AI parallels

  • Cisco is framed as the canonical dotcom “shovel seller” whose stock has still not regained its 2000 peak, despite the internet thesis being correct.
  • Debate over whether Nvidia is a modern Cisco:
    • Bullish side: real profits, strong software ecosystem, vertical stack, “moat” in CUDA, networking, and systems integration.
    • Bearish/skeptical side: margins invite competition (hyperscalers, nation‑states), AI demand is bubble‑driven and often unprofitable, moats in AI are shallow and may vanish.
  • Broader argument about “moats” in tech vs. in slow‑changing businesses (e.g., retail giants).

Bubbles, regulation & the giant pool of money

  • Comparisons between dotcom, 2008 housing, ZIRP, crypto, and today’s AI/quantum hype: each tied to cheap capital, loosened standards, and “this time is different” narratives.
  • Some foresee another crash driven by leverage, carry trades, or trade policy; others note bears have been “early” for 15+ years and that policy backstops tend to rescue large asset holders.

Culture & emotional memory

  • Strong nostalgia for 1996–2000: sense of optimism, youth, pre‑9/11 freedom, and the feeling that the web was a utopian, world‑changing project.
  • The bust, and then 9/11, are remembered as the end of that era and the beginning of a more fearful, security‑obsessed, and financially precarious world.