A new Anthropic threat intelligence report offers an unusual glimpse into how advanced AI systems are being used under heavy, real-world workloads. The findings suggest that the decision to buy or host AI servers may depend less on model quality alone, and more on which tasks consume tokens, how long they run, and how much operational state they must preserve.

DIGITIMES Intelligence has observed that as the performance of AI accelerators and server CPUs continues to advance, chips are increasing not only in compute core counts and I/O channels but also in integration complexity. Higher integration of high-bandwidth memory (HBM), high-speed SerDes, and chiplet designs makes signal transmission, power delivery, and component interconnects within the package far more complex, driving high-end IC substrates toward larger surface areas and higher layer counts.

The extraordinary technological progress humanity has witnessed since AI first emerged has propelled a fundamental shift in industrial development. With experts hailing AI as the next phase of the digital revolution and an extension of Industry 4.0, the technology is increasingly reshaping how industries operate.

Advanced packaging remains one of the semiconductor industry's hottest technology areas in 2026. In Taiwan, terms such as co-packaged optics (CPO), chiplets, and glass substrates are increasingly common as packaging moves deeper into system-level design.

DIGITIMES has observed that demand for silicon carbide (SiC) power devices has climbed rapidly in recent years as the EV market expands, triggering a massive wave of capacity expansion among SiC substrate makers. However, as SiC substrate capacity continued to surge, actual demand for SiC power devices from the EV sector fell short of expectations. This imbalance triggered a collapse in SiC substrate prices starting in 2024, extending the downward trend through 2026.

"The narrative is much more practical," Nvidia CEO Jensen Huang said of China's approach to artificial intelligence (AI) at the All-In Summit 2026, contrasting it with US warnings about AI bringing civilization to an end.

Where will China's electronics manufacturing industry find growth over the next five years? The answer is taking shape in the 15th Five-Year Plan for the sector, released by the Ministry of Industry and Information Technology (MIIT) and the National Development and Reform Commission (NDRC): industry revenue is targeted to exceed CNY30 trillion (US$4.47 trillion) by 2030.

DIGITIMES Intelligence observes that discussions at the semiconductor sustainability and energy forum during SEMICON Taiwan 2026 centered on two questions: whether Taiwan will have enough electricity to support continued semiconductor expansion driven by AI, and whether that electricity will come from renewable sources.

Taiwan's smaller IC design firms posted a strong revenue recovery in the first half of 2026, but the gains may prove difficult to extend. DIGITIMES said higher prices and early customer buying lifted sales, even as consumer demand remained soft. The second half now looks exposed to weaker momentum.

At SEMICON Taiwan 2026, Google outlined the direction of its AI infrastructure, and DIGITIMES notes that the discussion extended well beyond its next-generation TPU. Rather than focusing on a single chip, Google described how it links large numbers of TPUs into an integrated computing system spanning compute clusters, data centers, and ultimately multiple data centers, while also addressing the power constraints that emerge as the system continues to scale.

SK Hynix is reportedly considering Intel as an additional manufacturing source for high-bandwidth memory (HBM) base dies beginning with the HBM4E generation, a move that could reduce its reliance on TSMC and give the memory maker greater supply and cost flexibility.

DIGITIMES Intelligence forecasts the global semiconductor market will expand from US$791.7 billion in 2025 to US$1.6 trillion in 2026, representing year-on-year growth of 109.1%.

Supply chain resilience was once centred on raw materials, components, factories and logistics. AI, cloud services and the digital economy have expanded the risk perimeter. Companies now depend equally on software, data, computing power and the "digital trust" that underpins online transactions and cross-border collaboration.

Last week, from September 9 to 11, thousands of vendors gathered for an enormous trade show in the Chinese tech hub of Shenzhen. At the China International Optoelectronic Expo (CIOE), DIGITIMES reporters got a peek into the trends going on within this booming industry.

As humanoid robots gradually move from laboratory proofs-of-concept and enter industrial manufacturing and commercial service, their underlying motion control and environmental perception capabilities have become core indicators of product maturity. Major humanoid robot makers are actively seeking the best balance between performance and cost efficiency through architecture restructuring, in-house vertical integration, and supply-chain strategic cooperation.