The deal between Gautam Adani's group and American engineering firm Jabil signals a broader shift toward domestic AI infrastructure in India, with potential consequences for global technology supply chains, foreign cloud dependency, and sovereign technology ambitions. The partnership aims to accelerate capacity, reduce reliance on external providers, and attract investment.
Indian regulators allege wastewater contamination at a key Apple supplier site in Tamil Nadu, raising fresh questions over environmental compliance and the stability of India's fast-expanding iPhone manufacturing ecosystem.
Foxconn and Schneider Electric announced a strategic partnership to jointly develop a next-generation data center reference architecture, combining Foxconn's capabilities in advanced computing platforms, server rack integration, and global manufacturing with Schneider Electric's expertise in power systems, cooling technology, and energy management. The collaboration aims to help customers build and operate large-scale computing infrastructure faster, more efficiently, and with greater predictability. Production for the partnership is expected to begin later in 2026.
Yaskawa Electric is betting heavily on physical AI, the field that enables robots to operate autonomously, as it positions itself for a boom in AI robots. Since starting work with Nvidia in 2023, the company has completed proof-of-concept tests with more than 100 companies and is now seeking an effective commercial model.
After Apple's WWDC 2026 keynote, online rumors claimed that only premium devices with 12GB of memory could run on-device AI, but DIGITIMES analyst Luke Lin said on a podcast that that was just Apple's messaging. Most on-device AI features only need 8GB of memory; only the Apple-defined advanced on-device AI requires the higher 12GB spec.
Physical AI is emerging as a new frontier of model development. Any model, however, is only as good as the data used to train it. Because of this, Japanese startup APTO is launching a physical AI infrastructure lab to help plug the data gap needed to create vision-language-action (VLA) models, with a focus on imitation learning.
SAP reported that enterprise AI agents are shifting from proof of concept to real-world deployment as companies aim to embed generative AI into operational workflows such as finance and supply chain management rather than limiting it to chat and summarization tools. The firm said many AI applications reached about 80% accuracy during the proof of concept stage, but that core workflows require substantially higher reliability and human oversight to ensure safety and compliance.
Samsung Electronics' foundry division chief told employees on June 12 that a return to profitability in the contract chipmaking business looks difficult next year, with 2028 emerging as a more likely timeline, Yonhap, ZDNet Korea, and Chosun reported.
Nvidia CEO Jensen Huang's recent trip to South Korea put the spotlight on the rivalry between Samsung Electronics and SK Hynix, while memory giant Micron crossed the US$1 trillion market-cap mark for the first time. That shift has also drawn global attention to Micron CEO Sanjay Mehrotra, whose rise began with a string of dramatic visa rejections 50 years ago.
The Ministry of Economic Affairs (MOEA) convened its industrial advisory committee on June 12, 2026, with Minister Ming-Hsin Kung saying participants focused on how to help traditional industries upgrade and transform through semiconductor supply chain spillover, practical AI adoption, and industry alliances.
Taiwanese companies sharply increased enterprise AI investment and adoption in 2026, yet critical gaps in technology architecture and measurable return on investment risk blunting business impact, according to Dun & Bradstreet's latest Enterprise AI Maturity Index. The index surveyed more than 300 Taiwanese firms across 17 industries as part of a global study of over 10,000 C-level executives in 32 advanced countries, finding momentum rising in the second quarter of 2026 but persistent operational hurdles.
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