How are supply chain bottlenecks and AI investments reshaping Asia's semiconductor industry?

Talent Competition and Custom Silicon Payback

The global push for artificial intelligence (AI) capabilities is intensifying competition for specialised talent and driving investment in custom silicon across Asia. Sandisk, for example, is actively recruiting engineers in South Korea for roles in NAND system architecture, core design, VLSI design, and mask design, seeking candidates with expertise in HBM, LPDDR, and GDDR.

This move, reported in September 2026, marks a strategic shift for Sandisk's historically sales-focused Korean operations, reflecting its growing ambitions in AI-oriented storage and stronger fiscal 2026 results.

Concurrently, Google Cloud CEO Thomas Kurian stated that the payback period for Google's AI servers is under two years, dropping to less than one year for systems utilising in-house silicon like Tensor Processing Units (TPUs).

This rapid return on investment, also noted in September 2026, is encouraging further custom silicon development and creating revenue opportunities for ASIC partners, including Asian firms like MediaTek and Broadcom. Industry sources indicate increasing TPU orders and an expanding ecosystem beyond AI research into finance, banking, biopharma, and high-performance computing.

Equipment Shortages Strain Capacity Expansion

Accelerated investment in semiconductor fabrication facilities is creating significant bottlenecks in the equipment supply chain, with lead times for critical components extending substantially. As reported in September 2026, some component delivery times have more than doubled; for instance, a four-month wait has stretched to 10 months.

Certain Japanese parts are experiencing lead times of up to 40 months, while local components are taking approximately 50% longer to deliver. This strain coincides with major capacity expansion efforts by leading manufacturers such as TSMC, ASML, and Applied Materials.

SEMI forecasts record equipment sales, particularly for wafer fabrication and DRAM tools, indicating that these extended lead times could hamper the industry's ability to meet escalating demand and delay planned capacity increases across Asian manufacturing hubs.

Divergent AI and Chip Development Paths

Asian economies are pursuing distinct strategies in AI and semiconductor development.

In Taiwan, discussions at a Deloitte Taiwan seminar in Taichung in September 2026 highlighted that the nation's opportunity in Physical AI—systems interacting with the physical world—lies in integrating hardware, software, sensing, and control into deployable solutions, rather than focusing solely on individual robot components.

Officials from NIAR, Taiwan AI Academy, Deloitte Taiwan, Nvidia, and Techman Robot emphasised the need for verification, simulation, data collection, and practical use cases to enable Taiwan to build system capabilities and scalable industrial applications for task execution.

Meanwhile, in mainland China, researchers at the Institute of Microelectronics under the Chinese Academy of Sciences have outlined an early-stage pathway to sub-3nm gate-all-around (GAA) devices without relying on extreme ultraviolet (EUV) lithography.

Chief engineer Ye Tianchun, in September 2026, described using deep ultraviolet (DUV) lithography with stacked nanosheet-channel GAA CMOS, achieving process optimisation that pushed Ion/Ioff above 5×10⁷. This work is presented as technology validation rather than mass-production readiness, facing significant integration and yield hurdles.

Packaging Challenges and Drone Restrictions

Advanced packaging technologies are also presenting challenges for major technology firms. Market rumours in September 2026 suggested that Google is considering CoWoS as a backup packaging solution for its Humufish TPU project, which is currently scheduled to use Intel’s EMIB-T packaging with MediaTek.

This consideration arises due to lagging substrate yields for EMIB-T, with Unimicron reportedly targeting a 50% yield previously. While industry sources believe EMIB-T will likely remain the primary plan given the timeline before 2027 production, the potential for dual packaging highlights the complexities and costs involved in next-generation chip integration.

Separately, Beijing municipality is set to implement its strictest drone restrictions to date from November 15, 2026. The entire municipality will be designated controlled airspace, with bans on drone flights, possession, storage, and transport of drones and their core components.

This policy, announced in September 2026, includes a citywide storage ban and requires existing operators to comply with the revised regulations, potentially affecting logistics and commercial operations reliant on drone technology within the capital region.

The So-What for Asian Industry

These developments signal a period of intense strategic adjustments for Asia's semiconductor and AI industries.

For Asian manufacturers, the extended lead times for critical equipment, reaching up to 40 months for some Japanese parts as of September 2026, necessitate proactive supply chain management and potentially revised capital expenditure timelines to avoid delays in capacity expansion.

Companies like TSMC, ASML, and Applied Materials, which are expanding capacity, will need to navigate these constraints. The shift towards custom silicon and the rapid payback for AI investments, as seen with Google’s TPUs, suggests that Asian ASIC design houses and foundries could see sustained demand into 2027 and beyond.

Furthermore, the divergent approaches in AI development—Taiwan's focus on system integration for Physical AI and China's DUV-based sub-3nm research—will shape regional competition and collaboration in advanced technology.

Businesses operating in Beijing should prepare for the strict drone restrictions taking effect on November 15, 2026, which will impact logistics and commercial applications of drone technology within the municipality.