TYC Brother Industrial, with 40 years of global experience in the automotive supply chain, is expanding its manufacturing operations to the US, signaling a strategic shift amid evolving industry dynamics. Chuang Tai-Shie, a member of the company's board of directors, emphasized that this move reflects broader trends reshaping global manufacturing and supply chains.
The global market for robotaxis is set to move decisively from long-held promise to commercial reality in 2026, as autonomous driving shifts from experimental pilots to an increasingly competitive business.
Huawei plans a sweeping expansion of its presence in China's smart car industry in 2026, betting that advanced driver-assistance software, in-car operating systems, and digital chassis technologies can become a new pillar of growth as US sanctions continue to constrain its core telecommunications business.
As the global automotive market shows signs of recovery in 2026, Excellence Opto has completed a corporate restructuring and opened a new factory in Mexico, positioning the company to launch new products and showcase the impact of its AI-powered automotive electronics transformation. In tandem, Excellence Opto has issued 7,000 secured convertible bonds totaling NT$739 million (approx. US$23.3 million), now listed on the local exchange.
As trends in autonomous driving and edge computing continue to evolve, oToBrite Electronics is upgrading its core competitiveness from automotive sensing hardware to full-domain visual AI solutions. Through a product lineup of automotive-grade camera modules ranging from 1 to 8MP, oToBrite is not only strengthening its position in the commercial and passenger vehicle markets but also crossing over into the unmanned vehicle and robotics sectors, building a multi-dimensional sensing moat.
Nvidia unveiled its Alpamayo family at CES 2026, introducing a suite that includes the open-source AI model Alpamayo 1, the AlpaSim simulation framework, and Physical AI Open Datasets. Alpamayo 1 centers on chain-of-thought reasoning and vision-language-action (VLA) inference models designed for autonomous driving applications.
As Taiwan and the US reached a consensus in their tariff negotiations, a long-standing cloud hanging over Taiwan's automotive aftermarket industry began to lift. Securing the most favorable treatment under Section 232—capping tariffs at 15%—was not only a trade victory but a psychological turning point for Taiwan's vehicle-parts supply chain. The agreement has injected new confidence into the sector, allowing manufacturers to shift from a posture of defensive caution to one of proactive expansion.
President Trump's recent decision to link the question of Greenland's sovereignty with punitive tariffs has sent a chill through Europe's auto industry and Asia's manufacturing supply chains. What might once have been dismissed as a trade dispute now looks more like a form of geopolitical brinkmanship; an attempt to bind industrial lifelines to strategic demands.
The opening of the North American International Auto Show in Detroit this year offered a revealing portrait of an industry caught at the intersection of political crosscurrents and technological transition—and increasingly at risk of losing its strategic focus. The concern, executives say, is no longer confined to fluctuations in production or sales, but points to something more fundamental: a strategic retreat that could undermine America's industrial sovereignty and long-term competitiveness.
At CES 2026 in the US, Nvidia unveiled its open-source vision-language-action (VLA) model series, Alpamayo, signaling a new phase in the development of autonomous driving technologies. The launch has intensified competition among global automakers, which are now ramping up investment and racing to secure computing power centered on VLA architectures.
As electric vehicles and autonomous driving technologies spread rapidly, and as automotive electrical and electronic (E/E) architectures grow more centralized, the value of semiconductors embedded in each vehicle is rising sharply. According to an analysis by DIGITIMES, the average semiconductor content per car is expected to increase from about US$759 in 2024 to US$1,332 by 2030.
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