Analysis of Shiller CAPE vs. Current Earnings Valuations: Dot-Com Bubble Proximity Concerns

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This analysis addresses the Reddit post [1] questioning why the Shiller Cyclically Adjusted Price-to-Earnings (CAPE) ratio is near dot-com bubble levels (~39-40 [2][3]) even as current earnings support valuations (trailing twelve-month PE ~30 [3]). Short-term earnings are boosted by AI-driven growth: IQSTEL’s AI services grew >50% YoY for three consecutive quarters [5], and S&P500 Q3 2025 blended earnings rose by13.1% YoY [6]. However, CAPE’s 10-year earnings smoothing captures long-term mean reversion risks, as seen in the 49% S&P500 drop post-2000 dot-com peak (CAPE 44 [4]).
- Short-Term vs Long-Term Discrepancy: AI growth sustains short-term valuations, but CAPE signals long-term correction risks due to historical precedent.
- Earnings Composition: The shift toward AI earnings (GenAI CAGR 42% to 2032 [7]) may alter traditional valuation norms, but CAPE’s 10-year lens questions sustainability.
- Sector Impact: Tech and communication services sectors benefit most from AI growth, but are also most exposed to valuation corrections if growth slows.
- Valuation Correction: CAPE proximity to dot-com levels increases long-term correction risk [4].
- Growth Slowdown: If AI earnings fail to meet 10-year expectations (agentic AI projected CAGR ~150% [7]), high-valuation stocks may decline.
- Short-term gains in AI-exposed sectors (IT, communication services) amid robust quarterly earnings [5][6].
- Strategic monitoring of AI earnings trajectory to identify sustainable growth opportunities.
- Metrics: Shiller CAPE (~39-40), TTM PE (~30), AI earnings growth (>50% YoY for IQSTEL [5]).
- Affected Instruments: S&P500 index, AI stocks (IQST, CRWV, RDCM, TASK).
- Monitor: AI earnings growth trajectory, interest rate changes, regulatory developments for AI, and S&P500 earnings composition shifts.
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
