Nvidia's record revenue, profit, and margins are masking growing strain across its supply chain, as increasingly compressed product cycles and surging AI demand force suppliers to accelerate development, boost spending, and manage rising quality risks, according to executives and industry observers tracking preparations for the company's next-generation AI platforms.

China's three major telecom operators introduced token-based billing plans in May as they packaged large-model inference resources into standardized products for consumers, developers, and enterprises, signaling a shift toward mass-market AI compute services. China Telecom rolled out a nationwide group-level token package on May 17 with tiered plans for individual and household users, developers, small and medium-sized enterprises, and ecosystem partners; its lowest-priced individual plan costs CNY9.9 (US$1.46) per month for access to 10 million tokens.

Looking ahead to 2026, AUO said the global economy is stabilizing and returning to growth, but that international trade disputes and regional conflicts still pose risks. It added that the consumer electronics market is also being weighed down by AI-driven inflation and weak demand, creating more uncertainty for an industry recovery.

Taiwan's Executive Yuan will formally establish a special committee on national strategies in AI, which will be headed by the Premier and tasked with coordinating, promoting and overseeing AI policy nationwide. In addition, the National Science and Technology Council (NSTC) will take the lead in drafting Taiwan's first guidelines for national AI development, which will be submitted to the strategy committee for review.

BenQ Qisda Group will participate in COMPUTEX 2026 under the theme "AI In Action," showcasing how artificial intelligence (AI) is being applied in real-world deployments. BenQ Qisda will bring together group companies to showcase a comprehensive AI portfolio ranging from computing infrastructure to industry solutions.

At AMD AI DevDay 2026 in Shanghai, AMD CEO Lisa Su and 01.AI founder Kai-Fu Lee outlined what could become the next major shift in artificial intelligence: the transition from generative AI chatbots to autonomous AI agent systems. Their discussion focused on AI agents, multi-agent collaboration, open-source ecosystems and next-generation AI computing infrastructure, signalling a broader industry shift from "question-and-answer" AI towards systems capable of independently executing enterprise goals.

A French consortium called AION said it would bid for EU AI infrastructure funding to build a large AI data center campus in France worth as much as EUR10 billion (US$11.6 billion). The group formed in 2025 and is pursuing the project as part of the EU's effort to boost domestic AI capacity and reduce reliance on US technology, executives said.

UiPath announced an on-premises Agentic AI deployment service and Automation Suite designed to help regulated industries adopt AI while maintaining data security and compliance. The vendor said the move, revealed in late May, targeted sectors including banking, financial services, insurance, healthcare, and the public sector in Taiwan and Greater China, where strict data residency and governance rules have limited cloud-only AI adoption.

On May 20, 2026, DIGITIMES held its Tech Forum, where senior analyst Jim Hsiao delivered a presentation, "AI server market outlook and trends amid the explosion of agent applications." In it, Hsiao explained that demand is rising sharply not only for x86 server CPUs from Intel and AMD, but also for Arm-based CPUs, which are expected to see explosive growth in 2026.

Nvidia has positioned its specialized LPX accelerator as a niche product designed specifically for low-latency, high-speed token generation rather than broad-market enterprise workloads. The hardware targets a narrow segment of service providers that operate premium, high-velocity token applications for select customer bases. While the architecture excels at rapid text decoding, its broader market adoption remains constrained by structural limitations in throughput and memory capacity.

At the recent Plug and Play Silicon Valley May Summit, the semiconductor and supply chain sessions highlighted a critical shift toward hardware-level security, energy efficiency for AI, and AI-driven quality engineering. Startups, including Enclave Semiconductor, Bedrock Semiconductor, and Lattice, presented solutions aimed at securing and optimizing the global electronics ecosystem.

Wayne Wang, senior director of commercialization at Robot Era, used the 5th Mobis Mobility Day in Sunnyvale to present a two-year-old Chinese robotics company that has already supplied hardware to nine of the world's top ten technology companies — including Apple, Nvidia, Amazon and Microsoft.

Advanced Micro Devices (AMD) CEO Lisa Su stated that the company plans to invest more than US$10 billion in Taiwan's industrial ecosystem to accelerate the development of artificial intelligence (AI) infrastructure. The announcement was made during her visit to Taiwan, where she also disclosed the latest progress in collaborations with Taiwan Semiconductor Manufacturing Company (TSMC), backend packaging and testing, substrate, and AI server supply chains.

Chinese server maker xFusion reached a revenue of CNY58.2 billion (approx. US$8.6 billion) for the year 2025. The figure indicates the company's rising profits as it benefits from China's push for a domestic AI supply chain and the benefits for companies breaking into the country's high-end server market.

Nvidia's H200 was a major focus after the Trump-Xi meeting, but hopes for sales into China have faded after US President Donald Trump's latest remarks. Trump said Chinese President Xi Jinping is firmly committed to developing domestic AI chips, leaving little room for common ground on the issue.

AMD said on May 21 that it plans to invest more than US$10 billion across Taiwan's semiconductor ecosystem to deepen strategic partnerships and expand advanced packaging capacity for next-generation artificial intelligence (AI) infrastructure. The initiative aims to strengthen manufacturing capabilities, accelerate the deployment of AI systems, and support the growing demand for high-performance computing hardware.

Nvidia has unveiled a strategic expansion of its silicon portfolio, detailing a four-pronged commercial approach for its new Vera central processing unit. The chipmaker expects the processor to generate US$20 billion in standalone revenue, signaling a significant evolution in its hardware distribution strategy and a broader play for infrastructure dominance in the emerging agentic artificial intelligence market.

Nvidia has detailed a significant structural shift in its data center revenue reporting, introducing a new market segmentation that separates traditional hyperscale cloud providers from a rapidly expanding sector named ACIE, which stands for artificial intelligence clouds, industrial, and enterprise. While hyperscale platforms currently lead initial deployment, management projects that the ACIE segment will eventually outgrow them, owing to the massive scale of the global corporate economy.

OpenAI is preparing to file for an initial public offering (IPO) in the coming weeks, a move that could sharpen its competitive edge in the AI race. While company executives had previously targeted a listing in the fourth quarter of this year or later, the accelerated filing is expected to substantially advance the offering's schedule. According to The Wall Street Journal, the initial paperwork could be submitted to regulators as early as Friday.

AI-driven humanoid robots are entering a visible phase of commercialization. At the same time, software lags hardware, creating an opening for Taiwan component suppliers to target the joint module market through alliances, according to remarks at a DIGITIMES forum ahead of Computex 2026.

Auras Technology said strong AI server demand will sustain growth in thermal management through 2028, driving the company to raise its full-year revenue growth forecast for 2026. Executives disclosed the supplier expects quarterly growth throughout 2026, lifted its revenue-growth target from 50% to 70%, and sees potential for higher gross margins as shipments expand.

OpenAI launched a Guaranteed Capacity program that lets enterprise customers reserve one to three years of AI computing resources in advance, aiming to provide a stable supply for products, AI agents, and workflows while giving both buyers and suppliers time to plan. The program opened with tiered discounts tied to commitment length and will remain available until the current allocation is sold out, with additional rounds planned in the future, a spokesperson announced.

Anthropic overtook OpenAI in enterprise AI adoption in April 2026, according to spending data from Ramp, Wall Street Journal, Bloomberg and VentureBeat, as growing demand collided with compute bottlenecks and mounting cost pressures. Ramp's tracking of more than 50,000 US companies found that 34.4% of enterprise customers used Anthropic products in April 2026, versus OpenAI's 32.3%.

Vietnam has issued artificial intelligence (AI) regulations requiring companies such as OpenAI and Anthropic to appoint representatives to communicate with the government, with affected firms needing to comply by March 2027.