Skip to main content

FCC Reconsiders Forced Bundeling

Probably as the result of effective lobbying from a vested interest, and in a clear reversal of course, the Federal Communications Commission (FCC) has backed a plan that calls for cable television providers to offer viewers the option of subscribing to individual channels, The Wall Street Journal reported.

The notion is a radical departure from current practices, in which cable companies offer mandatory bundled packages of channels. In a Senate Commerce Committee forum, however, FCC Chairman Kevin Martin said that a la carte programming "could be economically feasible and in consumers' best interests."

The FCC can't force cable companies to make the change, but its position could become a driving force in the debate and potentially spur the creation of new legislation. While the move is seen as a positive for consumers, who could lower their overall bills by dropping channels they don't watch and be able to better protect their children from objectionable programming, cable providers say it could ultimately reduce the choices for viewers.

How would unbundling reduce programing choice, that's unclear? In fact, given the rise of Video on Demand (VOD) options, and the delivery of an eclectic mix of VOD content over the internet, this issue may very well eventually become a moot point. So, which power broker is manipulating the FCC's policy position this time? We'll just have to wait and see.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

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...