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Sep 4
Commentary: Apple shifts to smart vehicle software layer as Ternus era arrives
When Apple abandoned Project Titan, automotive supply chain insiders predicted the tech giant wouldn't bow out of the smart vehicle market entirely; it would simply approach the market from a different angle. Judging by its recent collaboration with Ford Motor, Apple is pivoting toward software-layer integration and vehicle systems, a move that may represent a preview of the playbook CEO John Ternus will execute.
India is selling its semiconductor build-out abroad as a hedge against an over-concentrated supply chain. The officials running it are unusually candid that the hedge cannot be built without the country it hedges against. Asked at a media briefing in Taipei on 4 September how New Delhi views the role of Chinese companies in India's chip and electronics supply chain, S. Krishnan, secretary of India's Ministry of Electronics and Information Technology, opened with a line that would be politically awkward in most capitals: "We need to be realistic."
Anthropic is moving toward a potential blockbuster stock-market debut this fall, but the company's unusual governance structure could become an important issue for investors alongside its growth prospects.
Chicony Power Technology Co. said its August revenue slipped as a memory shortage hit demand for notebook power supplies. Still, stronger orders for AI server and satellite communications power signaled broader growth opportunities for global technology supply chains and future data center investment.
Foxconn said August sales rose sharply from a year earlier as demand for AI servers and related hardware continued to lift its cloud and networking business. The latest update suggests the global electronics supply chain remains supported, even as investors closely watch shifts in trade, policy, and consumer demand.
Eaton expands AI data center stack from grid to chip
Sep 7, 07:44
As AI data centers scale rapidly, Eaton is expanding beyond traditional power management into modular power deployment, next-generation DC conversion and liquid cooling, positioning itself to address infrastructure requirements from the electrical grid to AI chips.
AI-driven automation is reshaping the cybersecurity requirements of semiconductor manufacturing, with zero-trust architecture, trusted data, and interoperable standards becoming increasingly important as fabs move toward more autonomous operations.
The most consequential safety technologies are often judged by what happens after something goes wrong: how fast an alarm sounds, how quickly rescuers arrive, or how effectively protective equipment limits injury.
Taiwanese automotive microcontroller (MCU) maker SiliconAuto showcased its products at SEMICON Taiwan 2026, with CEO Gene Liu saying the company is now spotlighting AI chiplet architecture for automotive and industrial edge AI as carmakers seek more flexible chip designs.
Pegatron announced on September 3 that it had signed a memorandum of understanding with Deloitte Taiwan, combining Pegatron's self-developed enterprise AI digital twin platform with Deloitte's consulting expertise in AI strategy, governance, and implementation to offer corporate clients a one-stop AI solution from planning to deployment.
AI is driving a new wave of technological demand and changing how the semiconductor industry innovates, according to Benjamin Hein, member of the executive board and CEO of the Electronics Business Sector at Merck. As AI becomes an integral part of semiconductor innovation, future competitive advantages in the industry will depend less on any single process or material, but rather on the ability to combine materials, processes, packaging, metrology, and software into complete processes. In this sense, AI-driven growth in the semiconductor industry is like "Moore's Law on steroids," and collaboration will become the industry's next Moore's Law.
As AI computing power surges, the energy consumption of AI servers has become a major bottleneck that must be solved. The issue is spreading from chips into power delivery systems as Nvidia's AI racks ramp up, rapidly pushing up the power draw of a single AI rack.