A recent survey of 13,000 consumers in 13 countries found that more than 20 percent of respondents said they spend up to half of their leisure time playing video games. Conducted by market research firm GMI, the poll found 30 percent of those surveyed in India and 20 percent of respondents in Mexico spend up to half of their leisure time playing games, compared with respondents from the U.S. (24%) and Germany (24%). Eighty percent of all consumers surveyed said they believe people will spend more time playing video games over the next ten years. "Relatively unexploited markets in Latin America and in Asia such as India offer new growth to the videogame industry," said analyst Billy Pidgeon. While 58 percent of consumers overall don't think games are a good form of social activity, this thinking is reversed in India and Mexico, where 4 percent and 64 percent of those surveyed, respectively, play games to socialize -- compared with other nations like the Netherlands and France, where only 14 percent and 20 percent of respondents, respectively, said they played games socially.
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...