Skip to main content

Why U.S. Broadcast Radio Use is in a Decline


If you really like banal auto dealership commercials, then you would enjoy the typical American broadcast radio station. However, eMarketer reports that a recent Edison Research study highlights the trends in media usage among U.S. teens and young adults -- the results aren't encouraging for legacy marketers.

Waking up to the radio was a routine for this young demographic a decade ago, but usage has sharply declined. Also, as many young people have reduced their traditional media use, the Internet has replaced much of that activity.

The trend is apparent in total time spent with various media. In 2000, teens and young adults were spending close to 2 hours and 45 minutes listening to broadcast radio each day. By 2010 it had fallen to an hour and a half.

In contrast, time spent online had risen from an hour a day to almost 3 hours.

Alternative music listening services have also emerged. In 2010, 36 percent of consumers surveyed by Bridge Ratings ages 12 and over had listened to online music services in the past week -- 17 percent had listened to a podcast.

Pandora is leading among the online music services, according to online listeners surveyed in March this year. Pandora was cited as the favorite by 27 percent, and 42 percent had listened in the past year. No other service had more than a single-digit response.

The ability to skip songs and fewer commercials were the top benefits cited by Pandora listeners. It is obvious, to everyone but traditional media advertisers, that the absence of banal commercials online are considered a major bonus by all consumers.

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...