According to In-Stat, while Peer-2-Peer and piracy issues have not entirely disappeared, consumers are showing heightened awareness and interest in legitimate online music services -- "The worldwide online music market is expected to grow 134% this year, reaching $1 billion for the first time. With increased competition between sites this year, differentiation will be a key strategy. Sites are building larger catalogs and working with labels to offer new types of digital content, such as live concerts and remixes. In addition, branding and customer loyalty will be a primary focus. In-Stat's survey found that the average amount spent in the past year for online music was $25. Over half of the survey respondents who have downloaded music from the Internet admitted to not paying for it. And, 35% of the respondents are owners of an MP3 player, with 70% saying it was their first one."
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...