My AI Bubble Exposure
A retail-investor dashboard that scores your personal portfolio's exposure to the AI capex cycle and shows how your holdings would behave under three AI-bubble scenarios (pop, plateau, continued boom).
self-directed retail investors worried about an AI bubble
- One-screen exposure breakdown by AI-revenue share, AI-debt dependency, and chip-supply-chain link
- Scenario simulator: AI capex cut in half, frozen, or accelerated, with portfolio impact estimates
- Diversification playbook: which positions or ETFs most reduce bubble risk
- Weekly 'bubble stress' alert when key indicators (CDS spreads, capex guidance, China chip news) move
A 10%+ single-day drop in SK Hynix and Samsung and a brief Nasdaq correction on AI-spending fears show retail investors are now actively repricing AI risk.
Multiple AI-bubble dashboards already exist (aibubblemonitor.com, aibubble.watch, trackaibubble.com, boomorbubble.ai), confirming retail interest, but none show massive traction and Google Trends 'kospi' source is tangential to US/global AI portfolio holders.AI Bubble Monitor — Track AI Market Bubble Risk in Real Time ↗AI Bubble Watch ↗AI Bubble Dashboard | Exponential View ↗
The market is already crowded with direct competitors, and the open-source Chrisfoz/ai-bubble-analytics repo on GitHub implements the near-identical feature: portfolio impact simulation with 4 scenarios (Boom, Soft Landing, Bubble Pop, Stagflation) plus Monte Carlo — basically the proposed product.AI Bubble Impact Analytics - GitHub ↗Track AI Bubble ↗AI Bubble Risk Monitor — Tech Stock Bubble Analysis, Crash Signals ↗
No public pricing found on any of the bubble-specific dashboards (most appear free/lead-gen); comparable retail portfolio tools like StockVision price at $0.99/mo for full platforms, making it hard to justify a premium for the bubble-scenario overlay alone.StockVision — AI-Powered Stock Research & Portfolio Analysis ↗AI Bubble Monitor ↗
Demand is structurally tied to the AI bubble narrative — once the bubble resolves (pops or doesn't), retail urgency collapses; bubble-focused tools historically struggle to outlive the cycle that birthed them.AI Bubble Impact Analytics - GitHub ↗
The reference open-source project (React + Node + Supabase, D3/Recharts, Monte Carlo engine, public price data) demonstrates the full build is tractable for a small team in weeks, not months.AI Bubble Impact Analytics - GitHub ↗