Taiwan's Aerospace Industrial Development Corporation (AIDC) has spent nearly a decade pushing AI adoption, moving from smart manufacturing in 2015 to full-scale generative AI deployment in 2024, and turning years of production experience into digital corporate assets. Information chief I-ting Fang said the company now hopes to transform its AI and smart manufacturing expertise into a business model that can help more suppliers and manufacturers accelerate AI transformation.
As the global electric vehicle (EV) market enters a growth adjustment phase, the auto industry is shifting from "electrification" toward "intelligence," while AI agents move rapidly from the cloud to end devices. Qualcomm says the end devices with which future AI agents will mainly interact include about 6 billion smartphones, 2 billion AI wearables, 2 billion PCs, and 500 million connected cars, underscoring how vehicles are becoming a key gateway to AI services.
For the past three years, large language model (LLM) development has moved along the same track: models have gotten bigger, parameter counts have climbed, reasoning has improved, AI agents have matured, and long-context windows have kept breaking records. The industry's debate has also centered on model capability, computing scale, and how far the field is from artificial general intelligence (AGI).
Nvidia CEO Jensen Huang's whirlwind visit to Japan in mid-July extended well beyond product announcements and public appearances. Alongside a joint event with gaming giant Sega Corporation, Huang used the trip to promote what he has repeatedly described as Nvidia's next major AI frontier—physical AI—sparking renewed discussion across Japan's industrial sector about the country's role in the emerging technology.
Volkswagen, BMW, and Mercedes-Benz are reshaping their growth strategies as the global auto market enters a low-growth era, with profitability under pressure and EV demand slowing. Instead of chasing volume, the three German automakers are focusing on multi-powertrain platforms, deeper AI integration, and cross-border partnerships.
IBM lowered its full-year revenue growth target after a second-quarter miss, saying clients shifted spending toward scarce hardware and away from software deals. Management framed the weakness as delayed demand rather than lost business, while reaffirming free cash flow growth, margin expansion plans, and confidence in the company's long-term software and mainframe franchises.
Xpeng is transforming into a physical AI supplier over the next 10 years, with robotaxi, humanoid robots, and flying cars as its three core product lines, chairman Xiaopeng He told Automotive News. The company also aims to move beyond the carmaker label and adopt a Tier 1 supplier model, working with operating partners around the world to build a business model that can be replicated globally.
Agentic AI is likely to reach commercial use sooner than physical AI, according to Beyondsoft, as the IT services provider deepens its push into robotics and enterprise automation. The Singapore-based company sees the region, especially Singapore, as a key proving ground where cloud partners, governments, and enterprises are shaping the next phase of AI adoption.
Apple has filed a sharp antitrust-style complaint against OpenAI, turning a once-celebrated AI partnership into a legal clash over strategy, supply chains, and future hardware control. Behind the lawsuit lies a broader contest over who will shape the next wave of AI devices, and whether the Trump administration's "America First" agenda can help both sides find common ground.
