Intel is grappling with an operational crisis as its IDM 2.0 transformation plan has yet to yield results, casting doubt on when its foundry business might finally become profitable. This raises the question of whether Intel should consider abandoning its IDM model and separating its product design and manufacturing divisions—a move with both potential advantages and drawbacks. Industry leaders, including former board members, are offering advice in hopes of helping Intel find a viable path forward. However, the conflicting nature of their advice highlights the complexity of the company's dilemma
Singapore's sovereign wealth fund, the Government Investment Corporation (GIC), has made significant investments in artificial intelligence startups Anthropic and MiniMax amidst rising concerns about an AI investment bubble. Anthropic recently closed a funding round valuing it at US$35 billion, with GIC as a key backer. At the same time, Chinese AI startup MiniMax saw a strong stock debut on the Hong Kong Stock Exchange, also reportedly supported by GIC
The long-discussed Taiwan-US tariff negotiations have finally concluded, agreeing on US$500 billion investment and reciprocal tariffs aligned with those of the EU, Japan, and South Korea without stacking. These terms match disclosures from US sources
Record profits. Soaring margins. Relentless demand. TSMC's January 15, 2026, earnings call painted a picture of semiconductor dominance so complete it seems almost untouchable. Almost
The White House has finally released details regarding chip tariffs. Despite previous concerns, tariff rates and products included are relatively limited. The tariff rate has been set at 25%; chips imported for data centers, startups, technology R&D, maintenance and replacement, consumer applications, industrial control applications, as well as any chips used to build US industries, are all exempt from the tariffs
TSMC announced plans in 2020 to establish an advanced wafer fab in the US, marking a major shift toward significant US investments. Initially seen as a political necessity, TSMC's US expansion has evolved over five years into a long-term commitment exceeding US$165 billion, supporting American manufacturing ambitions
For years, smart glasses and augmented reality (AR) headsets were among the most visible attractions at the Consumer Electronics Show (CES), peaking in 2025 when they dominated the exhibition floor. At CES 2026, their presence was noticeably reduced. This does not point to an industry slowdown. Rather, it signals the sector's exit from the "concept phase" and its entry into a market defined by price competition and practical commercialisation
China's Ministry of Industry and Information Technology, together with eight other government departments, has released the plan for "AI + Manufacturing." While framed as an industrial upgrade policy, it functions in practice as a strategically significant AI roadmap
China has intensified pressure on Japan's supply chains. Following curbs on dual-use items and rare earth exports, the Ministry of Commerce has launched an anti-dumping probe into Japanese-origin dichlorosilane (DCS)
China's Ministry of Commerce said on January 7, 2026, that it has launched an anti-dumping investigation into Japanese-origin dichlorosilane (DCS). While framed as a routine trade-remedy case under existing rules, the decision reflects a more specific reality in the semiconductor materials supply chain: China now has domestic fallback capacity in this critical process material, allowing policymakers to act selectively at a sensitive juncture
Recent supply-chain signals suggest that OpenAI has shifted hardware orders from Luxshare to Foxconn, a move widely interpreted as preparation for highly interactive, portable AI devices. While specifications remain undisclosed, industry sources believe the products will emphasize real-time interaction tightly coupled with cloud-based AI, pointing to a new class of always-connected endpoints rather than conventional consumer electronics
Japanese semiconductor firms are pivoting toward advanced packaging and alternative lithography as TSMC extends its scale advantage in artificial intelligence chips. TSMC's 3nm and 2nm capacity is largely locked in. Advanced packaging now contributes a growing share of sales. The company is on track to see annual revenue exceed US$250 billion around 2029 or 2030. That widening gap has pushed Japanese companies to focus on panel-level packaging and nanoimprint technologies. Both emerged at SEMICON Japan 2025 as key levers to bypass manufacturing bottlenecks and secure a foothold in the fast-expanding AI accelerator supply chain
Artificial intelligence continues to be the central force behind the upcoming productivity revolution. Yet in the US, foundational energy constraints threaten to stall progress. The primary obstacle is not a shortage of semiconductor chips or inadequate computing capacity. It is a more fundamental resource: electricity. Increasing demand from AI data centers (AIDCs) is straining the nation's electric grid. It is testing the limits of social tolerance
The global semiconductor market is projected to reach US$1 trillion as early as 2026, significantly ahead of previous industry forecasts targeting 2030. The World Semiconductor Trade Statistics (WSTS) forecast, released in December 2024, expects growth to be driven predominantly by logic chips, including GPUs and AI accelerators. Memory markets are poised for the steepest increase
The biggest recent news in AI chip development is Nvidia's non-exclusive technology licensing agreement with Groq. Nvidia invested US$20 billion to acquire Groq's technology license and onboard its core engineering team
When the Manhattan Project mobilized the full weight of the American state in 1945 to unlock atomic energy, it revealed something humanity had not fully grasped before: once a scientific breakthrough is absorbed into national strategy, its impact can far exceed any single industry or technology. Eighty years later, the US is attempting to recreate that logic—this time around artificial intelligence (AI)
