European youth are spending less time watching TV and listening to the radio in favor of surfing the Internet, according to a survey of 15-24 year-olds across Europe conducted by the European Interactive Advertising Association (EIAA). Of those surveyed, 46 percent said they watch less TV as a result of using the Internet; 34 percent said they talk on the phone less; 33 percent said they read fewer newspapers; and 22 percent said they don't listen to the radio as much. In terms of overall media consumption, European youth still spend the most time watching TV (31%), compared with radio (27%), the Internet (24%) and newspapers (10%). Almost half of the young people surveyed said they were prepared to pay for music online (47%), while 25 percent said they would pay for online gaming. "The 15-24 age group is the holy grail for most advertisers and the EIAA research conclusively demonstrates the extent to which the internet now represents an essential media for this audience, increasingly replacing other media including TV and radio, said EIAA chairman Michael Kleindl.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...