SK Hynix is moving on several fronts as it pushes deeper into system-level memory competition. From high-bandwidth memory (HBM) and high-bandwidth flash (HBF) to a recently published roadmap proposing to extend co-packaged optics (CPO) to the memory interface, the company increasingly appears to be competing not just over the next generation of HBM, but over how future artificial intelligence (AI) systems organize and access memory.

The 2026 World Robot Conference (WRC) opened in Beijing on August 19, and the biggest change on this year's show floor was not the larger number of humanoid robots — it was that robots started working on site. From coffee making and retail service to printed circuit board (PCB) handling, logistics sorting, auto parts loading and unloading, and even home organizing, laundry, and table clearing, robot makers are no longer just showing robots walking, dancing, and boxing.

Rapid changes in the power and thermal requirements of AI accelerators are forcing data-center designers to incorporate chip-level information earlier in the planning process, according to Cadence Design Systems. This is narrowing a gap that once separated semiconductor development from facility engineering.

Foxconn is repositioning its AI data center business around system integration, modular deployment, and sovereign computing, as the rapid growth of GPU infrastructure changes how customers design and procure computing capacity.

ASIC and GPU shipments will reach a "golden cross" in 2027, with ASIC shipments expected to surpass GPU shipments for the first time at 15.3 million units, DIGITIMES Intelligence analyst Stella Weng said. She also said AI is driving a "qualitative change" in memory architecture inside AI servers.

Autonomous driving technology is maturing, and a future in which cars entirely drive themselves is quickly approaching in the rearview mirror. Yet safety and trust remain crucial barriers to overcome before fully autonomous driving becomes a reality, and a key part of this is the "eyes" of the car.

As AI develops rapidly, data centers are driving equally rapid growth in electricity demand. The stability of future energy supplies will directly determine whether AI computing capacity can continue to expand.

As AI chips continue to grow in size, the shift in advanced packaging from 300 mm wafers to square panels is becoming clearer, driving parallel development of new packaging technologies including FOPLP, CoPoS, and Glass Core. Manz Asia general manager Robert Lin said yield will determine whether Glass Core can move into mass production.

The global memory market is entering a sharp upcycle as cloud providers boost capital spending and demand for AI infrastructure lifts DRAM, NAND, and HBM prices. According to DIGITIMES, the three largest upstream memory chip makers are headed for a more than threefold jump in combined DRAM and NAND revenue in 2026, with supply constraints likely to keep pricing firm until new capacity arrives in 2027.

Optical communications will likely enter AI server racks in 2028, DIGITIMES analyst Joyce Chen said on August 20 at a semiconductor industry forum in Taipei, as rising AI cluster scale drives demand for faster data transfer, lower latency, and higher-bandwidth interconnects.

The AI industry is watching the rise of co-packaged optics (CPO) as faster AI systems now depend on more efficient links between chips and data centers. At DIGITIMES Tech Forum 2026 in Taipei, analyst Jerry Zheng said the technology is moving toward mainstream adoption as bandwidth demand outpaces computing gains.

Apple kicked off the tablet OLED era in 2024, introducing Tandem OLED in the iPad Pro to overcome bottlenecks in display lifespan and brightness. The iPad mini followed, set to adopt OLED in the second half of 2026, though with annual shipments hovering at just 2 million units, its impact is largely symbolic. Market research firm UBI Research noted that tablet OLED growth has largely stalled through 2024 and 2025, with OLED costs remaining the primary hurdle: panels currently run roughly twice the price of LCD alternatives, and narrowing that gap is widely viewed as the primary prerequisite for expanding OLED adoption in IT applications.

Unitree Robotics' August 19 debut on Shanghai's STAR Market did more than crown China's first mainland-listed humanoid robot maker. It marked a shift in the industry from competition between robot brands to a harder contest over supply-chain cost, AI capability, and mass production.

Marvell Technology is set to deepen its role in Google's AI infrastructure through an expanded agreement to develop custom chips, in a deal that could generate roughly US$120 billion in revenue for the chipmaker through fiscal 2033 if Google meets purchasing targets tied to the warrant, according to Reuters. The scale of that figure is the story: it reframes Marvell not as a niche supplier, but as a structural bet by Google on custom silicon over merchant GPUs.

Tsinghua Unigroup's former "chip-to-cloud" expansion strategy unraveled after a debt crisis in 2020 and subsequent bankruptcy restructuring. Several projects originating in the group's earlier era have since entered disposal proceedings, and one of the former group's largest planned investments has now reached a formal end.