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.
Singapore's relatively neutral stance on cloud adoption is helping make performance, compliance, and value the main factors in global companies' decision-making. As AI moves from pilot projects to production, businesses across ASEAN are rethinking which cloud, model, and location best fit each workload.
The European Commission has issued binding measures requiring Alphabet's Google to open key Android features to competing AI assistants and share parts of its Google Search data with rival search engines, marking one of the bloc's most significant efforts yet to curb the market power of Big Tech under the Digital Markets Act (DMA).
Microsoft is reportedly preparing to launch a new AI cybersecurity product designed to identify software vulnerabilities and automatically fix them, as the company expands its push into AI-driven enterprise security.
A European industry group, the Cloud Infrastructure Services Providers in Europe (CISPE), has joined four other trade organizations in calling for the European Commission to impose interim measures while it processes an antitrust case against Broadcom. The case concerns recent licensing changes made by the chip designer on the virtualization platform VMware.
Nvidia has laid out a sweeping expansion of its Japanese footprint. The company is moving beyond one-off supercomputer wins to embed its Blackwell-generation chips and software across the country's research labs, banks, hospitals, factories, and automakers. The breadth signals that Japan is being positioned as a full "AI ecosystem" for Nvidia, not a single-sector customer. It's a hedge that spreads the company's growth across sovereign science, industrial automation, and physical AI, even as questions mount over chip pricing and supply.
