The results of a new In-Stat U.S. consumer survey demonstrate that while respondents' existing home networks are fairly evenly split between Ethernet and Wi-Fi, future home network deployments are largely planned as Wi-Fi networks. The 640 tech-savvy consumers who participated in the survey still chose data-networking applications over consumer electronics applications as the applications for which they were most interested in using Wi-Fi connectivity. "Consumer electronics vendors have a challenge to educate consumers about Wi-Fi and to overcome the perception that Wi-Fi is simply a data networking technology," says Norm Bogen, In-Stat analyst. "Nevertheless, Wi-Fi silicon vendors have fully committed to this market segment, and In-Stat believes the benefits to consumers of Wi-Fi connectivity in consumer electronics devices are significant enough to build a major market segment over the next five years." The challenges that Wi-Fi faces, in terms of range, bandwidth, security, and Quality-of-Service (QoS), are being addressed by new standards that have either recently been ratified or are set to be ratified over the next several years. The prevalence of wireless network availability, especially in home networks, makes it increasingly likely that any consumer electronics device would benefit from Wi-Fi connectivity. More PCs in a respondent's household was positively correlated with a greater likelihood of having heard of Wi-Fi being used in various devices.
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...