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Nvidia Supplier Wistron Says AI Boom Is Not a Bubble

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Artificial intelligence is not a speculative bubble and demand linked to the technology will continue to accelerate, according to Wistron chairman Simon Lin. Speaking in Taipei, Lin said AI-related order growth in 2026 is expected to exceed last year’s levels, reflecting what he described as a structural shift rather than a temporary surge.

Wistron, a key supplier to Nvidia, sees strong demand extending well into 2027. Lin said the company expects “significant” growth this year compared with the previous one, adding that AI is already transforming a wide range of industries and marking the beginning of a new technological era.

The company is expanding its manufacturing footprint in the United States to support Nvidia’s long-term AI ambitions. Wistron said new U.S. facilities are on track to be ready in 2026, with volume production starting in the first half of this year. Part of the capacity will support Nvidia’s plan to build up to $500 billion worth of AI servers in the U.S. over the next four years.

Nvidia previously said it would build supercomputer manufacturing plants in Texas, working with partners including Foxconn and Wistron. The comments from Wistron’s leadership underline growing confidence among AI supply-chain firms that current demand reflects long-term structural growth rather than a short-lived boom.

Global Chip Sales Set to Reach $1 Trillion on AI Boom

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Global semiconductor sales are expected to reach $1 trillion this year, according to the Semiconductor Industry Association, as massive investment in artificial intelligence infrastructure continues to drive demand. The industry group said chip sales totaled $791.7 billion in 2025, up 25.6% from the previous year, and momentum is expected to accelerate further.

Advanced computing chips led the growth, fueled by surging demand for AI workloads. Sales of high-performance processors made by Nvidia, Advanced Micro Devices, and Intel rose nearly 40% in 2025, reaching about $302 billion. These chips form the backbone of AI data centers being built by major technology firms worldwide.

Memory chips were the second-largest segment, with sales climbing 34.8% to $223.1 billion as prices surged amid AI-driven shortages. The impact of AI has spread across the entire semiconductor supply chain, benefiting not only the largest manufacturers but also smaller firms supplying specialized components.

Industry executives remain optimistic about near-term demand. According to the association’s leadership, order books across Silicon Valley are full, suggesting a strong outlook through 2026 even as uncertainty remains over the longer-term pace of AI infrastructure build-outs.

AI Trade Fractures as Investors Turn Selective

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The global artificial intelligence trade is splintering as investors grow more selective, weighing soaring capital spending, rising debt and uncertainty over who will ultimately profit from the technology. After an initial surge that lifted nearly all AI-linked assets, markets are now drawing sharper distinctions across stocks, sectors and regions.

One clear divide has opened between hardware “picks and shovels” and software firms. Shares of enterprise software and data companies such as ServiceNow and Salesforce have fallen sharply, while chipmakers and data-centre suppliers have proved more resilient. Strategists say investors are increasingly differentiating between companies that enable AI and those whose business models could be disrupted by it.

The famed “Magnificent Seven” are also no longer moving in lockstep. Heavy spending announcements by Microsoft, Meta Platforms, Alphabet and Amazon have triggered mixed share price reactions, as markets focus less on scale and more on returns. Fund managers warn that spending without clear payoff is no longer rewarded.

Regionally, South Korea has emerged as a standout winner as investors pile into memory-chip makers tied to AI infrastructure. The rally in Samsung Electronics and SK Hynix reflects growing conviction that memory demand will be a critical bottleneck in AI expansion. Together, these trends suggest the AI trade is evolving from a broad theme into a far more discriminating market.