This investing strategy has beaten the market with exposure to cheap AI stocks

The Templeton Emerging Markets Fund has returned 134% over three years, versus 76% for the iShares MSCI Emerging Markets ETF, highlighting a strong value-oriented way to gain cheap exposure to AI-linked emerging-market players. The piece argues that emerging markets offer important beneficiaries of the generative AI infrastructure build-out, and that closed-end funds can provide an advantage in accessing them. The article is broadly constructive, but it is mainly an investment commentary rather than a market-moving event.

Analysis

The more interesting signal here is not just “emerging markets are cheap,” but that the AI capex cycle is increasingly becoming a global supply-chain trade rather than a pure U.S. software story. The best relative winners are likely the EM businesses selling picks-and-shovels into the build-out: foundry capacity, advanced packaging, memory, power infrastructure, and passive components. That makes the opportunity less about broad EM beta and more about selective exposure to countries with dense semiconductor ecosystems and pricing power versus commodity-heavy markets.

Closed-end funds add a second layer of edge because they can transiently trade at discounts/premiums that have little to do with fundamentals. In a market where investors want AI exposure but are still underallocated to non-U.S. assets, a discounted EM CEF can give you embedded leverage to both NAV compounding and discount mean reversion. The risk is that the discount becomes a value trap if flows stay concentrated in U.S. megacaps; in that case, the fund’s performance can remain strong while the market price lags for months.

The contrarian view is that the “cheap AI” thesis may already be crowded at the sector level, but not at the vehicle level. If investors begin rotating from passive EM beta into active funds with AI supply-chain exposure, the dispersion within EM should widen materially over the next 1–2 quarters. The main reversal catalyst would be a capex pause from hyperscalers or a sharp dollar rally, both of which would hit EM earnings translation and risk appetite simultaneously.

Key Decisions for Investors

• Long a discounted EM closed-end fund basket versus EEM for 3–6 months; look for 5–10% discount narrowing plus better NAV capture if AI capex remains firm
• Pair long EM semiconductor supply-chain exposure (e.g., TSM, ASML, HXS-level thematic proxies where available) against broad EM consumer/financial beta for 1–2 quarters; thesis is that AI-led earnings dispersion will outperform index beta
• Avoid adding to broad EM index exposure after strength; use rallies to fade unless USD weakens and global capex remains upward revised
• If the CEF discount is already near historical tights, take profits on the vehicle and rotate into the underlying high-quality AI enablers rather than paying for structure
• Set a downside hedge via USD strength or Nasdaq capex deceleration: if hyperscaler spending guideposts roll over, reduce EM AI supply-chain exposure quickly because the duration of the trade is short and sentiment-sensitive