Apple has officially announced that John Ternus will succeed Tim Cook as CEO. Given Ternus's deep hardware background, product innovation at the hardware level is widely expected to accelerate under his leadership. As AI development enters the era of embodied intelligence, his prior takeover of Apple's secret robotics team is seen as pivotal to whether Apple can seamlessly integrate its existing AI technologies and software ecosystem with physical hardware

"The drone is not the weapon. The infrastructure to build it is." This statement, made by Ukrainian president Volodymyr Zelenskyy on March 31, 2026, encapsulates the direction of recent US policy reforms as America strives to establish a large-scale, low-cost, and fast-iterating drone industry similar to Ukraine's. The US aims to simultaneously develop military and commercial markets while eliminating reliance on Chinese supply chains and catching up with China's small- and medium-sized drone manufacturing capabilities

Every major tech transition has exposed a different kind of leadership. The PC era rewarded visionaries. The mobile era rewarded operators. The AI era, Apple is betting, will reward engineers. That is the real logic behind elevating John Ternus — not just a changing of the guard, but a calculated repositioning of what Apple believes will matter most in the decade ahead

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

A green energy startup from Taiwan is heading to Silicon Valley with an unconventional argument: the most valuable layer in the energy transition may not be more solar panels, but the AI dispatch layer that sits between generation and consumption

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

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

Capital is still pouring into humanoid robotics in 2026, but the industry's financials are telling a more complicated story

In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are beginning to question what "compute" itself should look like. One of the most unusual entrants is The Biological Computing Company (TBC), which proposes a hybrid model integrating living neurons with modern machine learning systems to enhance performance, efficiency, and adaptability. The idea sits at the intersection of neuroscience and computing

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

Tesla CEO Elon Musk has aligned his TeraFab megafab initiative with Intel, in a move that had been signaled in recent months

Spain-based AI chip startup Semidynamics has recently seen a wave of positive developments. Its first chip, fabricated on TSMC's 3nm process, has successfully completed tape-out, and just weeks ago, the company secured an investment commitment from SK Hynix. Both significantly enhance its operational credibility and global visibility. CEO Roger Espasa stated that the company's proprietary Gazzillion technology is a specialized memory subsystem designed to address one of AI's most pressing challenges today: inefficient memory utilization, which has led to persistent supply constraints

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

Flipping an egg takes less than two seconds, but every step involves continuous sensing, judgment, and force control; spreading jam and arranging plates are the same. The difficulty of these atomic skills does not lie in executing fixed trajectories, but in performing correctly in complex environments