A trilateral semiconductor model is emerging, combining Japan's capital, Taiwan's ecosystem expertise, and India's talent. Alongside this, companies including Foxconn, Polymatech Electronics, Nvidia, AMD, Kaynes Semicon, and IBM are deepening India investments, reflecting rising localization, supply-chain ambitions, and expanding AI, packaging, and materials ecosystems despite policy and trade uncertainties.
Google has announced that robotics software company Intrinsic will join its operations as a distinct unit within the company, a move aimed at accelerating the deployment of artificial intelligence in physical systems such as industrial robotics. The integration reflects Google's effort to extend AI beyond digital applications into real-world environments and scale practical physical automation solutions.
Nvidia's next-generation Vera Rubin platform has moved from public unveiling to early customer sampling, with the company projecting a broader production ramp later this year. Both the company and its partners, however, face a complex array of engineering, supply-chain, and data center infrastructure challenges before Rubin can displace prior architectures as the industry standard for large-scale artificial intelligence.
Despite no signs of a slowdown in AI infrastructure investments by global cloud service providers (CSPs), debates about a potential AI bubble persist. BizLink CEO Felix Teng emphasized that the focus should shift from AI itself to the underlying demand for computing power and the broader infrastructure investment cycle.
Affected by a downturn in its display materials business and the appreciation of the New Taiwan dollar against the US dollar, BenQ Materials fell into losses in 2025. Its medical business, impacted by exchange rate fluctuations, grew only 5%. Chairman Z.C. Chen said that demand across all medical product lines is currently solid, and the company expects to return to double-digit growth in 2026.
A newly announced agreement between OpenAI and the US Department of Defense underscores a growing divide in the AI sector—not over whether military cooperation should exist, but over who ultimately governs the limits of how advanced AI systems are used in classified environments.
OpenAI's newly announced US$110 billion funding round underscores a structural shift in the AI industry, where long-term capital endurance and ecosystem diversification may increasingly determine leadership more than model performance alone.
Stronger-than-expected results from Nvidia were reflected in its manufacturing partners. Quanta reported fourth-quarter 2025 earnings per share of NT$5.75, a record high for a single quarter. Full-year EPS reached NT$19.45, also a record.
US cloud service providers (CSP) continue to invest heavily in artificial intelligence (AI), with Nvidia's latest fourth-quarter fiscal 2026 earnings report showing record-high revenue, highlighting ongoing strong demand for AI infrastructure. Benefiting from the AI boom, Wiwynn reported consolidated revenue of NT$950.66 billion (US$30.46 billion) in 2025, up 163.7% year over year, with AI products accounting for more than half of sales.
Since mid-February, Meta Platforms has unveiled multi-year strategic partnerships with leading chipmakers Nvidia and AMD, underscoring an ambitious US$100 billion capital expenditure plan for 2026. The investment signals more than a race for computing power: it marks a decisive push to translate AI breakthroughs into scalable, real-world applications.
Anthropic PBC, a leading AI developer, has released the third version of its Responsible Scaling Policy (RSP), updating its voluntary framework for mitigating catastrophic AI risks while signaling a shift in priorities toward competitiveness and economic growth, according to a company blog post and Bloomberg reporting. The policy change comes as Anthropic navigates a growing dispute with the US Department of Defense over the use of its AI technology in military applications.
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