
Almost six in 10 people working in tech say AI has added to their workload rather than cutting it. That is the headline finding of Web Summit’s first State of the Industry report, published on Thursday. Some 59% said their workload had increased, 20% s…

Agility Robotics will use Nvidia’s IGX Thor modules as the only onboard computer in Digit 5, the next version of its humanoid robot. The company announced the deal on Thursday. Nvidia will be the exclusive supplier of onboard compute for the version th…

Nebius has signed a $3.5 billion loan facility with Citi to build more data centres and buy GPUs. The Amsterdam-based AI cloud company announced the deal on Thursday. The secured facility runs for 364 days. Interest starts at the Term SOFR benchmark ra…

Anthropic has opened a waitlist for Claude Duet, a new app that lets its AI assistant keep working in the background while users are away. The company announced the research preview on 21 October, adding to the growing competition to build AI agents th…

Google’s TPUs now serve AI in production at Meta, through new open-source engines that run PyTorch models natively on the chips.
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead…

Barclays expects to have cut around 5,000 jobs by the end of 2026, roughly 5% of its staff. The bank said artificial intelligence and other technology now let it do the same work with fewer people. The British lender gave the figure on Thursday alongsi…

Europe’s biggest news publishers are asking regulators in the EU and UK to stop Meta from introducing new business terms that they fear could allow the company to copy content from their websites for use in AI products. The changes are due to take effe…

Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs…