Japan is moving to anchor its long-term growth strategy around AI, semiconductors, and strategic infrastructure, as Prime Minister Sanae Takaichi seeks to use state-backed investment as a strategic push to lift private-sector spending and rebuild the country's industrial base.

Qualcomm used its Investor Day to formally launch Dragonfly, a new data center product line aimed at cloud AI, and set out an ambitious revenue path that would shrink its dependence on handset sales. The company said the plan could reshape its business mix by 2029, but it still faces questions over timing, product performance, and execution.

US humanoid robotics startup Agility Robotics announced it will list on the Nasdaq as early as September 2026, which would make it the first publicly traded humanoid robotics company in the US.

Amazon on June 25 announced an additional US$13 billion investment in India's AI and cloud infrastructure by 2030, the third major commitment the company has made in as many years and one that brings its total planned spending across all India businesses to US$48 billion between 2026 and 2030. CEO Andy Jassy announced in New Delhi, following a meeting with Prime Minister Narendra Modi, that the pledge is a direct response to surging demand across Amazon's e-commerce, AI, and cloud operations in the country.

The robotics industry is moving from proof-of-concept projects to large-scale deployment. During Computex 2026, IPC maker Nexcom showcased its edge AI solutions at booths of major tech companies including Nvidia, Intel, and Qualcomm. Through product demonstrations, the company strengthened its positioning as a full-spectrum edge AI deployment partner, attracting interest from industry players seeking deeper collaboration and investment opportunities.

Taiwan's Ministry of Economic Affairs (MOEA) released industrial production statistics for May 2026 on June 24, reporting that Taiwan's computer, electronic products, and optical products sector—led by servers, switches, semiconductor testing equipment and components, and solid-state drives—saw production increase 36.62% year over year. This was attributed to the rapid expansion of artificial intelligence (AI) applications, continued strong demand for computing power, and aggressive capacity expansion in the semiconductor industry. Cumulatively, from January to May, production increased 93.17% compared with the same period in 2025, ranking first among all industrial sectors.

Compound semiconductor epitaxial wafer maker IntelliEPI said AI-driven high-speed transmission demand continues to lift the indium phosphide (InP) market, and it expects revenue to keep rising in 2026 and set another record. The company's biggest challenge remains a shortage of InP substrates, prompting it to rely mainly on Japanese suppliers while helping German manufacturers accelerate mass production of InP substrates.

The EU currently hosts roughly 5% of the world's AI compute capacity. The US holds close to 75%. McKinsey projects European data center demand will grow from 10 GW of IT load in 2024 to 35 GW by 2030 — a tripling driven almost entirely by AI. The infrastructure to close that gap does not yet exist, and building it in Europe costs substantially more than building the equivalent in the US.

AI chipmaker SambaNova could raise between US$800 million and US$1 billion in a new funding round, according to its executive chairman and Intel CEO Lip-Bu Tan. This would raise SambaNova's value to US$10 billion as increasing inferential AI workloads spur a search for alternatives to Nvidia's expensive GPUs.

ADATA Technology is stepping up discussions in Thailand amid rising global demand for AI computing centers. Chairman Simon Chen's visit highlights how Southeast Asia could benefit from expanding AI infrastructure, supporting industrial policy, and strengthening regional cooperation. The company sees Thailand as a possible hub for future growth and technology investment.

Texas is emerging as a logistics hub for hardware manufacturing as Taiwan's electronics makers expand into Dallas and Houston, according to Jeter. The company said a new Dallas warehouse is expected to open in July 2026, supporting material imports and finished-goods exports tied to the local AI market.

Coplus took a cautiously optimistic view of the second half of 2026 during an investors conference on June 24. The Taiwan-based auto parts supplier said it has lined up countermeasures after its first-quarter 2026 operations were hit by US tariffs and geopolitical tensions, and is moving from traditional automotive lighting into AIoT.

Founder and chairman of Chinese e-commerce platform JD.com Qiangdong Liu said at the 2026 APEC Business Leaders China Forum that logistics and delivery work will gradually be handled by robots, with many courier jobs likely to be replaced by automation. He added that JD.com has launched an internal program called the "Nirvana Plan" to help about 700,000 logistics and blue-collar employees retrain and transition as AI reshapes the industry.

Chinese cybersecurity company 360 Security Technology has unveiled a pair of AI-powered cybersecurity tools that it says can match the capabilities of Anthropic's highly restricted Mythos system, marking China's latest effort to narrow the gap with leading US AI technologies.

At Nvidia's June 25 annual shareholder meeting, CEO Jensen Huang declared that national security "comes first" wherever it conflicts with commercial opportunity, pledging full compliance with US export controls while casting the chipmaker as a core pillar of America's AI and semiconductor industrial base.

MediaTek is reportedly strengthening its partnership with Google in ASICs, a move that could increase the scale of future orders and carry implications for AI infrastructure worldwide. Market talk suggests the company may build an upgraded triggerfish product for Google, underscoring how global chipmakers are vying for influence in TPU development.

Qualcomm Technologies is expanding its partnership with Hugging Face to bring open AI tools from devices to cloud infrastructure, a move that could affect developers and enterprises worldwide. The collaboration aims to simplify AI deployment across the compute continuum while enabling faster, more flexible, and more scalable hybrid AI applications.

Anthropic's claim that Alibaba "illicitly" harvested its Claude model marks the biggest alleged case yet of a Chinese firm copying a top US lab, sharpening a national-security debate in Washington over AI intellectual property — even as Anthropic, valued at US$965 billion and eyeing an IPO, feuds with the White House over its own export limits.

OpenAI on June 24 unveiled "Jalapeño," its first in-house AI accelerator, co-developed with Broadcom and manufactured by TSMC — the clearest sign yet that leading model developers want to design their own chips and broaden a supply chain long dominated by Nvidia.

Qualcomm used its June 24 investor day to unveil a data center chip portfolio and a multi-generation CPU agreement with Meta, a strategic bid to diversify beyond a shrinking smartphone business and challenge Nvidia's dominance — while courting Chinese demand and leaning on manufacturing partner TSMC.

On June 24, Micron Technology reported record fiscal third-quarter results and issued a fourth-quarter forecast that significantly exceeded market expectations, reinforcing investor confidence in the AI infrastructure boom. Analysts said the company's expanding portfolio of multi-year customer agreements could help reduce the memory industry's traditional volatility, while persistent supply constraints are expected to support pricing and profitability through at least 2027.

Foxconn announced on June 24 that it signed a memorandum of strategic cooperation with Japan's Sharp Corp., with both companies centering the partnership on complementary strengths and resource integration under Foxconn's "3+3+3" strategic framework.

Nvidia and Amazon Web Services (AWS) are expanding tools that could make it easier for companies worldwide to build and run large-scale AI systems. The changes aim to improve speed, lower costs, and reduce operational complexity across inference, search, and training, which could influence how global enterprises deploy production AI.

SK Group chairman Chey Tae-won is planning to meet Tesla and SpaceX leadership in the US at the end of June 2026 to advance cooperation on next-generation AI infrastructure, memory supply, and data-center projects, South Korean outlet Ddaily reported, citing industry sources. The meeting is expected to cover specific business collaboration plans with Tesla, SpaceX, and xAI, though the exact date was kept confidential.