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Jan 21, 10:43
Research Insights: Nvidia unveils Alpamayo platform for L4 self-driving
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.

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.
Tesla aims to shorten its in-house AI chip design cycle to one generation every nine months, targeting rivals Nvidia and AMD. However, industry analysts highlight automotive safety verification and software stability as the biggest bottlenecks.
Speaking at the North American International Auto Show in Detroit this week, President Trump delivered a set of remarks that startled both policymakers and industry executives. He openly questioned the long-term value of the United States–Mexico–Canada Agreement (USMCA) and, in an unexpected turn, extended what appeared to be an olive branch to Chinese automakers.
After months of negotiation, the United States and Taiwan have reached a provisional breakthrough in their tariff talks, signing a memorandum of understanding on investment cooperation. Li-chun Cheng, Taiwan's vice premier, said the agreement makes Taiwan the first economy worldwide to secure a relatively comprehensive and most-favored set of terms in anticipation of potential future tariffs imposed by the United States under Section 232 of the Trade Expansion Act.
Large-scale capacity expansions in China have led to severe oversupply and price erosion issues in the global polarizer industry, causing Taiwanese firms to struggle as losses mount. In response, Taiwanese polarizer makers are pivoting toward high-value products as the local industry transitions toward new ventures.
The automotive electronics industry is undergoing a structural transformation unlike any it has seen before. As artificial intelligence moves from the margins to the core of vehicle design, two of Taiwan's lesser-known industrial champions—HCMF Group and Kinpo Electronics—are deepening a cross-industry partnership aimed at navigating the upheaval. Their strategy rests on two pillars: system integration and a "global-local" manufacturing footprint, designed to withstand volatility in an increasingly fragmented market.

Amkor Technology, the US-based semiconductor packaging and testing company, said it will close its Hakodate plant in northern Japan by December 2027, citing weak demand stemming from a slowdown in the global electric vehicle (EV) market. The factory, located in the town of Nanae in Hokkaido, specializes in packaging chips used in automobiles.

US LiDAR company Aeva Technologies has been selected as a partner for Nvidia's next-generation autonomous driving platform, Drive AGX Hyperion, drawing attention to its integration with Mercedes-Benz. Rumors also highlight South Korean firm LG Innotek's crucial role in equity investment, supply, and R&D collaboration with Aeva.