As artificial intelligence (AI) chips continue to scale up in physical size, semiconductor competition is rapidly extending beyond front-end node scaling into advanced packaging. The South Korean semiconductor industry is eyeing glass substrates as its next major breakthrough, aiming to shore up its lagging packaging ecosystem and secure greater influence in AI accelerators, high-bandwidth memory (HBM), and system-on-chip integration markets.

Apex Dynamics is optimistic about its business outlook for the second half of 2026, with planetary gear reducers emerging as a key growth driver. The company said its results for the first half of the year posted double-digit profit growth, while the reducer business continued to lead expansion.

The four major US cloud service providers (CSPs) have already rewritten their 2026 capital expenditure records, and ASIC vendors are increasingly confident that demand will remain strong through 2028 as customer spending and supply-chain visibility both extend farther out.

KKCompany Technologies, parent of KKBOX, will officially list on the Taipei Exchange's Emerging Stock Board on August 31, with chairman and CEO Steve Wang detailing, for the first time, the group's integration of PressPlay during a pre-listing investor briefing. The transaction, completed in the second quarter of 2026, is designed to expand KKCompany beyond music and AI multimedia into knowledge learning and the creator economy.

According to Bloomberg, Nvidia has formed a federal political action committee (PAC), expanding its Washington presence as governments debate artificial intelligence rules that could affect businesses, workers, and consumers worldwide. The move underscores how major technology firms are preparing for a longer policy battle over AI, competition, and market access.

Nvidia's latest earnings and forecast suggest AI demand remains far ahead of available supply, with implications for memory, power, cooling, and networking worldwide. The chipmaker's guidance points to continued price pressure and a broader buildout of infrastructure that will shape AI adoption across markets and industries.

For all the noise Donald Trump has made about taxing semiconductors, the measure that actually took effect in January 2026 barely touched the machines the AI build-out runs on. A 25% Section 232 duty landed on a narrow band of advanced logic chips, and an explicit carve-out spared anything imported for use in US data centers. That carve-out is why US$143.2 billion of computer processing units entered the US in the first half of 2026 without meaningfully paying it.

Compound semiconductor supply-chain players say China has recently eased some substrate export controls, but the upgrade of high-frequency transmission in AI data centers toward 200G and 400G has made optical communications a key technology breakthrough, creating a severe indium phosphide (InP) substrate shortage and sparking a trend toward signing long-term contracts and locking up capacity to secure stable supply.

Renesas Electronics has opened a physical AI and robotics lab in Beijing, a move that could speed the development of safer, smarter machines for factories, logistics, and homes worldwide. The facility is designed to help customers test, validate, and co-develop robotic systems as physical AI shifts from concept to real-world deployment.

US President Donald Trump signed an executive order on August 26 declaring a national emergency over the security of America's electrical grid. It restricts the purchase, import, and installation of certain foreign-made "bulk-power system" equipment on cybersecurity and national-security grounds.

Nvidia's GPU roadmap is pushing 800VDC into the spotlight as a key next-generation breakthrough, with battery backup modules (BBUs) set to gain in both quality and volume as high-density AI factories shift toward the new power architecture.

The five largest cloud operators spent US$181.5 billion on property and equipment in the June quarter, 87% more than a year earlier. Nvidia's hyperscale revenue was US$48.7 billion — 26.8 cents of every dollar they spent, down from a peak of 33.2 cents three quarters ago.

Hon Hai Technology Group, better known as Foxconn, is expanding its global manufacturing footprint through new land acquisitions, factory development, and capacity upgrades as demand for artificial intelligence infrastructure accelerates and electronics supply chains become more geographically distributed.

Nvidia closed its second fiscal quarter with US$31.6 billion of inventory, but the more consequential change is what that inventory now consists of. Work in process and raw materials together account for 78% of the balance, against 42% a year earlier. The mix shows a company committing to scarce memory well ahead of the Vera Rubin ramp, and absorbing the cost several quarters before customer price increases land.

Nvidia's data center business now splits almost evenly between hyperscalers and everyone else — US$48.7 billion against US$40.3 billion in the July quarter. The obvious reading is that the customer base is broadening. The sequence says something more specific.

The recent disclosure of SpaceX's partnership with Nvidia to deploy Vera CPUs as part of the architecture behind SpaceXAI's Starmind AI satellite was an outright showcase of where the two tech giants are decisively headed in the agentic AI era, as their collaboration deepens into one huge, interconnected ecosystem of orbital compute.

Ablecom Technology said it had joined a private placement for Jochu Technology and become the listed company's largest shareholder, giving the Taiwan-based chassis and thermal solutions provider access to additional capacity for AI server racks and liquid cooling products. The move is designed to help Ablecom address rising demand from global data centers for high-density computing, while the two companies plan to work more closely on production and technology.

Nvidia is aggressively expanding into open-source models and positioning itself as the world's largest open AI contributor, as CEO Jensen Huang reshapes the company from a supporter of the open AI ecosystem into a builder. The company recently spent US$6 billion to license Poolside's technology and hire about 100 of its engineers, adding momentum to the US open-model push.

India's data center story has split in two. The pipeline forecasts keep getting bigger, but the money actually landing has thinned sharply since June — and the reason is no longer demand or capital availability. It is environmental clearance, temple land, water accounting, and grid load, questions that courts, local residents, and state governments are all now asking before the concrete is poured.

Lambda, the Nvidia-backed neocloud provider, is seeking to raise as much as US$3 billion before a planned 2027 listing, with its valuation potentially reaching US$12 billion, according to people familiar with the matter. Bloomberg reported that Lambda’s 2026 revenue is projected to exceed US$1.5 billion, and that the company has already received several investment term sheets, though the deal terms have not been finalized.

Amazon Web Services (AWS) and Nvidia are expanding their collaboration to add millions of GPUs and new infrastructure for agentic and physical AI. The move signals rising global demand for advanced computing, with implications for cloud customers, governments, and robotics developers seeking faster, more secure access to AI tools worldwide.

Chinese GPU vendors are beginning to extend their applications beyond terrestrial computing and into space. The recently launched Yunjian Muxi satellite (Jitianxing A-04) carries an intelligent computing payload powered by a domestically developed MetaX GPU, marking an effort to validate Chinese AI chips under real-world space conditions.

For the first time in this cycle, Nvidia has told investors where its gross margin will bottom out and how far short of demand its supply will fall - two admissions that shift the question from whether the AI buildout continues to who absorbs its rising input costs. Management guided gross margin down from 75.0% to a trough of 71-72% by the fourth quarter, directly blamed memory pricing, and capped fiscal 2028 revenue growth at about 70% against demand it put at nearer 100%. Neither disclosure is a demand warning. Both say the company is now managing a shortage rather than a market.

Growth has stopped being the interesting question at Nvidia. Revenue for the quarter ended July 26, 2026 was US$96.2 billion, up 106% from a year earlier, and Data Center accounted for US$89.0 billion of it, up 117%. Gross margin held at 75.0% even as the Vera Rubin platform moved into volume—unusual, because a new rack-scale architecture normally costs a quarter or two of margin while yields settle. On the operating line, the quarter was close to flawless.

Nvidia has put a figure on its exposure to the AI labs it helps fund. On its second-quarter earnings call, chief financial officer Colette Kress said the company expects "demand from the AI labs for which we expect to leverage our balance sheet to contribute toward roughly a quarter of our business next year." That single sentence reframes the financing question. The issue is no longer whether Nvidia supports its customers' balance sheets, but that a quarter of forecast revenue now depends on structures the company itself has arranged.