"Universal service subsidies and other state-based support schemes do not help broadband penetration rates in rural areas, according to one of the first studies of empirical results of the effectiveness of such schemes. In a report that will be seized on by critics of government subsidy and competition policies, the AEI-Brookings Joint Centre for Regulatory Studies undertook a study that mapped broadband penetration across the US measured against various federal and state-based policies governing rights-of-way, unbundling, subsidies and direct municipal network provision. The study found that universal service mechanisms and programs targeted at underserved areas do not boost broadband penetration and may even slow it, possibly by giving an artificial advantage to one type of provider or another. Likewise, tax incentives appear to have no impact. It also concluded that laws limiting municipal deployment of broadband are not statistically correlated with broadband penetration; that access to public rights-of-way by broadband providers is strongly correlated with broadband penetration; and that telecom unbundling regulations also affect penetration, but resold lines are positively correlated with it."
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...