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Dec 31
Nvidia's robotics chief says the industry is building the wrong brains
Although AI has made tremendous progress in the digital domain, intelligence in the physical world still faces many challenges. Robots need to perceive 3D space, manipulate objects, and understand physical rules, all of which require enormous investments of manpower and resources. Dr. Jim Fan, head of Nvidia's robotics business and co-head of the GEAR lab, recently posted on X criticizing the current state of the robotics industry. Looking back at developments in robotics in the year now coming to an end, he argues that the robotics field remains in a state of chaos, and that its development direction may be wrong.
Demand for high-bandwidth memory (HBM) is crowding out production capacity for consumer memory. Despite capacity expansions by major memory makers, including Micron, Samsung, and SK Hynix, the supply of HBM for AI servers remains tight, and the demand from large chipmakers is difficult to satisfy immediately. IC distributors report that lead times from memory manufacturers have now extended to 52 weeks. With priority allocation given to large clients, almost no stock is available. Both distributors and customers must now pay upfront and wait in line for delivery.
As quantum technology, one of South Korea's national strategic technologies, gradually shifts from government-led R&D to the private sector, growing AI computing workloads have brought quantum processing units (QPUs) into the spotlight. Quantum equipment maker SDT stated that the proportion of government funding in its R&D budget has significantly declined, with demand steadily shifting toward private-sector customers.
Taiwan's National Science and Technology Council (NSTC) has raised concerns that prolonged delays in budget approvals could cause Taiwan to miss the critical 2026 global takeoff for silicon photonics (SiPh) and co-packaged optics (CPO), two cornerstone technologies underpinning next-generation AI servers.
Foxtron, backed by Foxconn, held an investor briefing on December 31, 2025, to review recent performance and forecast its strategy amid a cautious market outlook for 2026. Despite acknowledging revenue difficulties, the company positioned 2026 as a year of recovery and growth.
As artificial intelligence (AI) moves beyond its infrastructure build-out phase, the industrial PC (IPC) sector anticipates 2026 as a key year for scaling AI from centralized cloud setups to diverse edge computing environments. This transition marks a turning point in which AI-powered edge devices become integral to real-world operations across the manufacturing, medical, transportation, defense, and public safety sectors.
The upcoming CES 2026 is set to elevate artificial intelligence (AI) from a prominent topic to the exclusive central theme, reflecting the technology's maturation toward everyday application. The Consumer Technology Association (CTA), organizer of the event, announced that all showcased products and innovations will focus on AI, indicating a shift in focus from prior years, when AI was one of several highlights.
The Consumer Technology Association (CTA) has announced that artificial intelligence (AI) will be the central theme of CES 2026, under the banner "AI Forward." The event will emphasize AI's impact on product launches and technological advancements, with keynote addresses and major announcements from leading technology companies.
2026 electronics industry outlook
Jan 2, 09:23
As 2026 begins, DIGITIMES has conducted in-depth analyses of sectors within the electronics industry. The current landscape theme can be described as "one core, two keys, three drivers." The core, semiconductors, has two keys —the satellite industry and memory— and will be driven by three factors: AI servers, defense, and green energy. These areas will be critical to watch in 2026.
South Korea's four major conglomerates, Samsung Group, LG Group, SK Group, and Hyundai Motor Group have unanimously identified artificial intelligence transformation (AX) as a core focus in their New Year organizational restructuring and personnel deployments. South Korean conglomerates have no longer viewed AI merely as a new business but have instead embedded AI across end-to-end processes including R&D, manufacturing, finance, and operations. Representative groups such as Samsung, LG, SK, and Hyundai Motor have all carried out 2026 organizational restructuring and personnel adjustments toward the end of 2025, simultaneously deploying AX-related organizations and technical talent to accelerate their AX initiatives in the New Year.
ByteDance is reportedly preparing to invest about CNY100 billion (US$14.3 billion) in AI chips in 2026, primarily purchasing AI processors from Nvidia. This planned spending exceeds the estimated CNY85 billion for 2025 but remains contingent on whether Nvidia receives approval to sell its H200 chips in the China market, with budget adjustments possible.
Facing stiff competition in the domestic market, Chinese technology companies are accelerating their push into international markets, with artificial intelligence (AI) firms spearheading efforts in Singapore. According to The Straits Times, these companies plan to introduce a wide range of AI products, including robots, large language models (LLMs), and cloud solutions by 2026 to tap into Singapore's growing technology sector.