Investors look beyond chipmakers for next wave of AI winners in Asia

Investor interest in Asian markets is shifting beyond the traditional semiconductor names that dominated the first AI wave, with robotics, data-center infrastructure, power providers and materials suppliers emerging as the next potential winners.

The move reflects both technology evolution and valuation discipline: the GPU-led rally pushed many pure-play chip stocks to lofty levels, prompting investors to seek exposure through “picks-and-shovels” plays across the supply chain. Morgan Stanley and other research houses note that agentic AI is likely to increase demand for CPUs, memory and other data-center architectures, broadening capex beyond GPUs.

In practice, the rotation has brought industrial robot manufacturers, power distribution and cooling equipment makers, and fiber/optical and advanced packaging suppliers into focus. Bloomberg reports that physical AI — the intersection of robotics and AI — has become one of the hottest themes in Asian trading, driven by expectations of real-world deployment and by some chipmakers’ stretched valuations.

Market effects are already visible: foreign flows into South Korea and Taiwan have risen, while stocks tied to memory and the manufacturing supply chain have outperformed. Hedge funds and institutional managers are reallocating into names they view as beneficiaries of the next phase of AI spending, suggesting a broader thematic rotation across the region.

In a wider economic context, the trend supports the narrative of an Asia-led AI infrastructure build-out: large-scale data-center projects increase power demand and create downstream opportunities for energy and materials companies. That dynamic is likely to influence both short-term capital flows and long-term capital expenditure plans, as countries and firms invest to scale capacity.

Analysts say the broadening of the AI trade is likely to continue, although near-term volatility remains a risk for high-flying technology stocks. Over the medium term, investors may find more durable returns in companies that provide the physical and industrial backbone for AI — those with demonstrable revenue exposure to AI deployments, capacity expansion plans and competitive advantages in energy efficiency or supply-chain control.