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
Apple has named hardware engineering chief John Ternus as chief executive, replacing Tim Cook after 15 years — a move that signals a strategic shift. While succession talk had long circulated, the board's decision to elevate a product-focused leader points to a deliberate recalibration away from operations-led management
Tesla's Terafab project is accelerating, with the company targeting substantial in-house chip production to support autonomous driving, robotaxis, humanoid robots, and AI infrastructure. The push is already forcing a split among its potential foundry partners, with divergent responses that could reshape supplier relationships and competitive dynamics across the semiconductor industry
At a humanoid robot half-marathon in the Beijing Economic-Technological Development Area (BDA or E-Town), Honor swept the top three positions with its in-house robot "Lightning," placing six units in the top ranks
When most discussions around Chinese brands still focus on how to expand overseas, Zhang Xue is taking a more radical approach: redefining the stage itself
Amazon CEO Andy Jassy declared in his latest shareholder letter that the company's self-developed chip business is booming, surpassing US$15 billion in annualized AI revenue through AWS — a significant milestone for chip efforts that have quietly evolved over 11 years, beginning with the acquisition of Israeli startup Annapurna Labs in 2015
Ahead of TSMC's earnings call, DIGITIMES senior analyst Luke Lin explained that TSMC typically does not revise its full-year revenue forecast or capital expenditure during its first-quarter earnings announcement. If adjustments are needed, TSMC usually waits until July. That is when second-quarter results and third-quarter guidance are released, giving the company a firmer basis for any revisions
Amid rising geopolitical tensions linked to semiconductors, European countries and industries are increasingly anxious about semiconductor autonomy. This concern has empowered many European chip startups to believe that local computing demands can sustain homegrown firms. Spanish companies Semidynamics and Openchip see this opportunity as a key foundation for growth in the coming years
Embodied AI is moving out of the lab and into real-world environments at increasing speed. The humanoid robot half-marathon scheduled for April 19 in Beijing Economic-Technological Development Area (E-Town) is framed as a public race, but functions more as an industry stress test, compressing a full stack of technologies into a 21-kilometer trial
The global AI boom is shifting infrastructure bottlenecks from GPUs to CPUs, as inference-heavy and agentic AI workloads push compute demands beyond accelerator capacity into system-level constraints
ASML delivered first-quarter 2026 results that exceeded expectations, prompting management to raise its full-year guidance despite a cautious outlook for the second quarter. The company announced plans to expand its extreme ultraviolet (EUV) manufacturing capacity to meet strong demand expected in 2027. The updated outlook suggests stronger momentum in the second half of 2026
Agentic AI is pulling CPUs back to the center of the AI stack, turning them into a renewed battleground for chipmakers. After Arm moved into AGI-focused CPU design, Nvidia has followed with a stake in SiFive, a RISC-V IP provider, signaling a broader shift in how control of AI infrastructure is being contested
As the global generative AI boom shifts from scale to localization, Southeast Asia is emerging as a critical testing ground for the next phase of development. The region's linguistic diversity and complex cultural landscape are pushing developers to rethink model design, fueling the rise of localized large language models and smaller, more efficient systems tailored to specific use cases
Taiwan's listed AI hardware companies collectively generated $69.7 billion in March 2026 revenue across 13 supply-chain segments — up 63% year-over-year — offering the most comprehensive single-month snapshot yet of where global AI infrastructure spending is actually flowing. The table below covers 49 companies from TSMC's silicon foundry all the way down to the rail kits that slide servers into racks. Read together, the numbers tell a story that goes well beyond any single company's earnings call
