Radio’s difficulties do not begin with reach, according to the premise behind the session “AI Alchemy — Turning Challenges Into Profits” at the 2026 RedTech Summit. The medium still reaches large audiences and retains a powerful human connection, but it faces a consumption problem as time spent listening falls and audiences age. At the same time, fragmented measurement, changing advertiser expectations and competition from global media and technology platforms are putting pressure on the industry’s commercial model.
Clive Dickens, Tony Moorey and Anthony Abbott of Meliora International asked delegates to approach those pressures as a redesign opportunity. Their session moved beyond a catalog of generative AI products and considered how specialized tools could reshape an entire radio operation. The exercise divided the station into three connected areas: user experience for content and listeners, client experience for advertisers and employee experience for its workforce.
That distinction matters because the most visible forms of AI — synthetic voices, generated music and automated content — represent only part of the change. Industry-specific, or “vertical,” AI can also analyze audience information, accelerate sales proposals, handle repetitive reporting and help employees find information across complex systems. The technology may be new, but the underlying questions are familiar: Does it improve the output, solve a genuine problem and release people to do more valuable work?
The speakers also placed radio’s challenge within a wider shift in media behavior. Research presented during the session indicated that more than 65% of adults in the United States used AI weekly, while people ages 13–34 already spent more time with AI than reading. Among the heaviest users, AI took a much larger share of the day and both television and “foreground audio” — audio that commands active attention — faced greater pressure. That does not establish that AI alone caused the changes, but it gives broadcasters another reason to watch how quickly new habits form.
The workshop did not present AI as cost-free or inevitable.
Testing the framework
Delegates tested the framework against problems drawn from a pre-summit survey. On the content side, the discussion considered how broadcasters could identify audience interests sooner and adapt strong material for the platforms where potential listeners spend time. Commercial teams examined how connected-audience data and AI-assisted analysis could help demonstrate measurable advertising outcomes, while operational groups explored ways to reduce repetitive work in reporting, finance, scheduling and human resources.
The proposed uses shared a common pattern. AI handled scale, speed and data-heavy processing, while people retained responsibility for editorial selection, interpretation and relationships. Automated systems might find promising clips, prepare material for different social platforms or surface campaign performance, for example, but human teams would still decide what represented the brand and how to turn an insight into a persuasive story.
That balance was just as important in sales. Faster proposals and automated audio production could shorten the route from a client brief to a campaign, but they could not replace the trust between an advertiser and a salesperson. Similarly, AI-led audience research could extend the size and frequency of surveys, but broadcasters would still need people to train the systems, safeguard quality and interpret what listeners actually meant.
The workshop did not present AI as cost-free or inevitable. Delegates had to weigh potential savings against implementation costs, data risks and dependence on vendors whose products or businesses may change. They also considered where savings could support growth, including stronger content, sales capability and staff development, rather than treating lower headcount as the principal measure of success.
The session’s broader message matched the publication’s idea of an intelligent signal: AI is most useful when it works through the operation, strengthening decisions without obscuring the human source. For radio, the alchemy lies less in generating more material than in combining technology with clearer priorities. Broadcasters that begin with the experience they want to improve are more likely to find value than those that begin with a tool.
This story originally appeared in the RedTech special publication Radio Futures: The Intelligent Signal. You can read or download that edition for free here.
You can access all past RedTech publications, also for free, here.
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