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Podcasts Overtake Traditional Radio In U.S. Listenership

Podcasts Overtake Radio As The Dominant Spoken-Word Medium

Recent findings from Edison Research reveal that podcasts have now eclipsed AM/FM talk radio in terms of listening time in the United States. For the first time, podcasts accounted for 40% of spoken-word audio consumption, edging out radio’s 39% share.

Decade-Long Trend Solidifies New Audio Landscape

Edison Research’s Share of Ear survey, which has tracked listening habits for more than a decade, shows steady growth in podcast consumption alongside a gradual decline in traditional talk radio.

The trend highlights increasing demand for on-demand and niche content, where podcasts allow listeners to choose topics, formats, and schedules that match personal preferences.

The Rise Of Video Podcasts

The study also points to the expanding role of video podcasts across platforms such as Spotify and YouTube. While video formats are included in overall consumption figures, audio-first listening remains a core part of podcast engagement.

Triton Digital’s U.S. Podcast Report for 2025 found that 80% of listeners aged 18 and older engage with both audio and video formats. Genres such as music, sports, comedy, and news tend to perform well in video, while science, history, fiction, art, and true crime remain primarily audio-driven.

Strategic Industry Moves And Market Adaptation

One of the more intriguing developments is Netflix’s strategic foray into the podcast arena. By partnering with iHeartMedia and Barstool Sports, the streaming giant aims to reinvent the daytime talk show format. This move aligns with additional insights from YouTube, which reported that living room devices now account for a significant portion of podcast viewership, with monthly watch times rising from 400 million to 700 million hours between 2024 and 2025.

Conclusion: The Enduring Role Of Podcasts

Edison Research data shows that 85% of weekly U.S. podcast listeners aged 13 and older engage with some form of video-integrated content, up 7% from 2023. The U.S. now has an estimated 115 million weekly podcast listeners, with only a small share preferring video without audio.

As listening habits continue to evolve, podcasts are increasingly positioned as a central format within the broader digital audio and media landscape.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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