Key takeaways
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- Grantham says most “premiums” investors chase ultimately reduce to value: buying assets when they’re cheap and rebalancing into what’s fallen.
- He views US listed equities as unattractive at current prices, arguing elevated valuations imply lower forward returns.
- AI is framed as genuinely transformative—but that is exactly what, historically, fuels big bubbles where prices run ahead of reality.
- He’s more constructive on startups/venture capital, implying the “winners” may be best accessed outside public-market mega-cap pricing.
What Happened?
In a Bloomberg “Merryn Talks Money” interview, veteran investor Jeremy Grantham discussed his new book and reiterated his view that AI-related enthusiasm has created a classic market bubble. He argues that public equities—particularly in the US—have been buoyed by AI capex and “animal spirits,” pushing prices to levels that mathematically reduce future expected returns.
Why It Matters?
If AI is following the historical pattern of railroads or the late-1990s internet boom, investors may be facing a two-phase cycle: first, overinvestment and valuation inflation, then a painful reset that ultimately clears the way for durable winners. The market implication is dispersion: broad “AI exposure” may not be the trade, and high-multiple leaders could be vulnerable if growth or margins fail to match expectations. Grantham’s emphasis on value also challenges the idea that “new era” technologies suspend valuation gravity.
What’s Next?
Watch for signs that AI monetization is lagging capex—slowing enterprise spend, margin pressure from infrastructure costs, or weaker incremental demand—which could catalyze a broader de-rating. Also watch whether capital shifts from public mega-caps into private markets, as Grantham suggests the most compelling opportunities may sit in venture-backed companies where price discovery is less tied to index flows and public-market narratives.
