The Market’s Best H1 Performers Were Hidden in Plain Sight Overseas
When investors look back at the first half of 2026, many will fixate on the Nasdaq’s 19.9% gain and declare it a banner year for U.S. tech. They’ll be missing the real story. The biggest winners of the first six months weren’t in Silicon Valley — they were in Seoul, Amsterdam, and Taipei. For investors who’ve kept their portfolios anchored entirely in American equities, the H1 numbers should serve as a quiet but powerful prompt to rethink geographic concentration.
The MSCI Emerging Markets Technology index — covering large and mid-cap tech stocks across developing economies — gained more than 90% in the first half of the year. That’s not a typo. South Korea’s Kospi surged 101.1%. TSMC, the Taiwanese chip foundry that produces semiconductors for Apple, Nvidia, and virtually every major AI application, jumped 55.5%. Dutch semiconductor equipment makers ASMI and ASML gained 93.3% and 86.8%, respectively. SK Hynix, the Korean memory chip giant central to AI training infrastructure, soared approximately 300%. Meanwhile, the U.S. S&P 500 gained 9.55%, and the Nasdaq Composite added 12.79%. Even Microsoft — one of the most AI-invested companies on earth — shed 22.9% of its value in the first half. The gap between international and domestic tech returns wasn’t a rounding error; it was enormous.
The underlying thesis here is structural, not tactical. The AI buildout is fundamentally a global supply chain story. The chips Nvidia designs are fabricated almost entirely by TSMC in Taiwan. The memory required for large-scale model training runs through SK Hynix and Samsung in Korea. The lithography machines that make advanced semiconductor manufacturing possible come almost exclusively from ASML in the Netherlands. U.S. companies are designing the software layer of AI, but the physical infrastructure — the actual capital-intensive, hard-to-replicate manufacturing base — lives overwhelmingly abroad. These are businesses with deep competitive moats, long investment cycles, and pricing power that compounds over years. Yet for much of the past decade, U.S. investors largely ignored them in favor of domestic names trading at far richer valuations.
What this means for long-term investors is straightforward: global diversification is not just a risk management exercise — it’s a return driver. The companies enabling the AI revolution that U.S. tech firms are building on top of often trade at materially lower price-to-earnings multiples than their American counterparts, carry less headline risk from domestic policy uncertainty, and benefit directly from any sustained expansion in AI capital expenditure worldwide. The BlackRock Investment Institute, in its midyear outlook, described AI as potentially enabling “a permanent growth breakout by accelerating innovation itself.” If that thesis proves correct over the next decade, the compounding will likely run through TSMC, ASML, and their peers just as much as it runs through Nvidia or Microsoft. Long-term investors who’ve never held a share of any of them may want to seriously reconsider whether home-country bias is costing them more than they realize.
