Apple's MacBook Neo is selling briskly, lifting the company's notebook brand shipments by more than 10% year on year in the second quarter of 2026, but supply shortages are emerging as a major risk. Supply-chain sources had expected MacBook Neo shipments to reach 10 million units in 2026, but a key component bottleneck could weigh on sales.
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.
Japan's companies and research institutions are turning to Nvidia's Nemotron open models to build AI tailored to local language, industry, and public-sector needs. The move highlights how open, customizable systems may shape national AI strategies far beyond Japan, affecting productivity, service delivery, and data control worldwide.
Beijing Approach AI Technology Co., or Approaching.AI, raised more than CNY1 billion within six months by selling AI tokens generated largely on computing infrastructure it does not own.
As the world enters an AI-centric era, the global race for technological leadership is no longer defined only by who can build the most advanced models. It is increasingly shaped by who can secure compute, deploy infrastructure at scale, reduce energy constraints, and turn research into commercial capability.
