As global tech valuations hit record highs, a distinct wave of skepticism is emerging among Asia’s largest institutional fund managers. The consensus from the Reuters NEXT Asia event in Singapore is clear: the market is growing overly exuberant about front-end applications, shifting smart capital down the value chain toward physical infrastructure and disruption-resilient assets.
Here is the strategic asset allocation breakdown:
🔹 Temasek: Aggressive Allocation Combined with Hard Asset Hedging Singapore’s state investor is executing a barbell strategy to capture growth while insulating against AI-driven disruption:
- The Target: Raising its AI portfolio exposure from 6% to 15% over the next five years (backed by existing stakes in OpenAI and Anthropic).
- The Hedge: Simultaneously increasing exposure to hard assets, infrastructure, and commodities to offset potential disruption in highly vulnerable sectors.
🔹 Goldman Sachs & Private Equity: Betting on the AI Enablers Rather than guessing which software model will dominate, private equity giants are focusing on tangible proxies required for AI deployment:
- Goldman Sachs Asset Management: Actively avoiding front-end applications in favor of “simple tools that facilitate adoption,” allocating capital directly into data centers and liquid cooling technologies.
- Primavera Capital & Bain Capital Japan: Warning that astronomical infrastructure CapEx requires proven, end-user commercial returns to remain viable, prompting a highly selective hunt for AI-enabled operational efficiency rather than pure-play tech speculation.
💡 The Strategic Takeaway: The AI investment thesis is shifting from speculative multiples to concrete revenue generation. For allocators, the playbook is evolving: alpha is no longer found in backing the glitziest LLM application, but in funding the physical backbone—the power, cooling, and hard infrastructure—that makes the computing revolution possible.