Radio needs younger talent. But does reaching a younger audience really require a younger workforce?

There is a conversation taking place quietly among a lot of veteran radio people. It usually doesn't happen on convention panels. It happens privately. On the phone. In Facebook groups. In emails between people who have known each other for twenty or thirty years. Somebody with a strong programming history can't get an interview. A personality with years of ratings success gets passed over for a position that appears almost custom-made for their experience. A former major-market programmer is managing a retail store. A broadcaster who once hired, coached and developed entire air staffs suddenly can't convince somebody they're qualified to sit behind a microphone. ■

Eventually somebody asks the uncomfortable question: Is age becoming a liability in radio? It's an easy question to answer emotionally and a considerably harder one to answer with evidence. Like plenty of broadcasters with a lot of years on the résumé, I've occasionally wondered about it myself after watching a job go to someone considerably younger. But wondering isn't knowing. Maybe the other person was better. Maybe they interviewed better. Maybe they wanted less money. Maybe management simply liked them more. A younger person getting a job instead of an older person is not evidence of age discrimination. ■

So rather than turn suspicion into a conclusion, I went looking for something better: employment data, court cases, radio research and studies of how older workers actually perform. Most importantly, I wanted to explore one assumption that has floated around broadcasting for generations: If you're not personally in the target demographic, can you still successfully relate to the target demographic? ■

What I found does not prove that American radio has some industry-wide policy of discriminating against older broadcasters. It does suggest that dismissing the question as a bunch of bitter old radio people complaining about change would be a serious mistake. ■

Radio's workforce isn't particularly young to begin with.

Let's start with a fact that complicates the whole argument. Census-derived workforce data compiled by Data USA puts the average age of broadcast announcers and radio DJs at 45.1 years old in 2024. Male broadcasters averaged 46.8, and workers ages 55 to 59 represented one of the occupation's three largest age groups.[1] ■

That matters because if radio had simply purged everybody over 40, the numbers would look very different. They don't. At the same time, there are indications that older talent may be feeling a significant share of radio's employment contraction. Jacobs Media's AQ6 survey included 58 recently unemployed commercial-radio participants, and the majority of that group were men age 55 and older.[2] ■

That number needs a giant asterisk. AQ6 was a voluntary industry survey. Fifty-eight unemployed broadcasters are not a statistically representative sample of everybody who has lost a radio job in America, and the survey cannot tell us why any particular person was unemployed. What it can tell us is that a noticeable group of experienced broadcasters is finding itself on the outside looking in. ■

And they're looking into a room with fewer chairs. ■

There are simply fewer radio jobs.

The Bureau of Labor Statistics estimated approximately 24,100 broadcast announcer and radio DJ positions in 2024 and projects employment in that category to decline another 6 percent by 2034. BLS specifically cites continuing consolidation, stations operating without live DJs and the possible increased use of AI DJs as factors limiting employment.[3] ■

Consolidation matters. Syndication matters. Voicetracking matters. Centralized programming matters. Automation matters. AI may increasingly matter. And simple economics matters. When an industry shrinks, qualified people lose jobs. When five excellent candidates are fighting for one opening, four excellent candidates are going to walk away wondering what happened. Some of what veteran broadcasters are experiencing can undoubtedly be explained by exactly that. ■

But fewer chairs also make hiring assumptions more consequential. When companies have large applicant pools, they can eliminate extremely qualified candidates before anybody ever hears their work, and the reason may never be spoken aloud. That's where this gets more interesting, because radio has actually litigated a version of the target-demo question before. ■

Radio has already been to court over this territory.

In Rengers v. WCLR Radio Station, a jury found that WCLR willfully violated the Age Discrimination in Employment Act when it terminated 51-year-old air personality Leo Rengers, who was replaced by a 33-year-old employee. The station had shifted toward a younger audience, and during Rengers' nighttime show the target had become adults 25 to 34. Evidence also showed that after the station moved toward a more youthful image, its announcer staff became dramatically younger.[4] ■

The Seventh Circuit Court of Appeals upheld the jury's finding, concluding that there was sufficient evidence for the jury to find that Rengers' age had become incompatible with the station's desired youthful image and its younger target audience. That puts something directly on the table that radio people will immediately recognize: the demographic profile of the audience had become intertwined with thinking about the age of the talent.[4] ■

Years later, another radio case raised a remarkably similar issue. In Roach v. American Radio Systems, a country station lowered the median age of its target audience. Management notes included descriptions of veteran personalities as "old sounding" and questioned whether they reflected the station's desired "hip" image. Two of the older personalities were terminated.[5] ■

The court did not rule that age discrimination had ultimately been proven in that case, and that distinction matters. It ruled that sufficient evidence existed to create a genuine factual dispute and allow the claim to proceed rather than disposing of it at summary judgment. Still, the language is impossible to ignore because it exposes the assumption we're trying to examine: We want a younger audience, therefore perhaps we need younger-sounding — or younger — people. ■

That's where a legitimate programming strategy can wander into dangerous territory. ■

"Does this person fit the format?" is absolutely a fair question.

Every good programmer asks it. A personality can sound dated. A personality can lose touch with the music. Somebody can fail to understand how the audience communicates or refuse to embrace social media, digital content, podcasting, contemporary production techniques or new technology. Those are legitimate considerations because those are evaluations of what the person can actually do. ■

If your CHR candidate hasn't voluntarily listened to a current hit since 1994 and thinks Instagram is a breakfast cereal, you've probably identified a problem. But the problem isn't their birthday. It's their competence. ■

That's an important distinction when we hear phrases such as "Can somebody his age really relate to our audience?" or "We need younger energy" or "We want somebody who lives the lifestyle." None of those statements automatically proves age discrimination. Context matters. But they can reveal an assumption worth examining: Must the person creating the product personally belong to the demographic consuming it? ■

If that's an actual programming law, an enormous amount of successful broadcasting becomes difficult to explain. ■

Programmers themselves disprove the theory every day.

Does the program director of a female-targeted Hot AC station have to be a 37-year-old woman? Does the programmer of an Urban AC have to personally occupy the exact age, gender and lifestyle cell the station sells to advertisers? Does a country programmer have to own a pickup truck? Does the Classic Rock PD have to have seen Zeppelin at Madison Square Garden? ■

Of course not. We expect programmers to do something much more sophisticated. We expect them to understand people who aren't necessarily themselves. Study them. Listen to them. Understand their lives. Know the culture surrounding the music. Interpret research. Watch behavior change. Recognize when yesterday's conventional wisdom has stopped being true. That's programming. ■

If we believe a 58-year-old programmer can successfully program a station targeting 25-to-44-year-olds, it becomes difficult to argue that a 58-year-old personality is automatically incapable of communicating with those same listeners. The relevant skill isn't being 32. It's knowing how to make a 32-year-old care about what happens next. ■

The audience research keeps coming back to relationship.

Radio has spent decades defining people by demographics because advertisers need demographics. Listeners, however, don't experience radio as demographic cells. They experience people. ■

One experiment involving 236 radio listeners ages 14 to 49 found that characteristics of the presenter influenced listeners' behavioral intentions, with parasocial interaction — that strange but powerful feeling that you actually know the person coming out of the speaker — helping explain the relationship.[6] Another study involving 2,700 U.S. radio listeners across nine markets found that parasocial relationships with radio personalities predicted listening behavior and were connected with positive perceptions, recall and purchasing of brands recommended by favorite personalities.[7] ■

Jacobs Media's Techsurvey research provides another fascinating data point. In data presented by the Radio Advertising Bureau, 61 percent overall said personalities were a main reason they listen to radio. That wasn't simply aging Boomers hanging onto their favorite morning guy. The number was 61 percent among Gen Z, 68 percent among Millennials, 65 percent among Gen X and 55 percent among Boomers.[8] ■

Katz Radio Group's 2026 consumer study found much the same thing from another direction. Sixty-three percent of listeners said personalities were very or extremely important to enjoying a favorite station, 57 percent could name a favorite personality, and 61 percent said they were more likely to consider a brand endorsed by a DJ or personality.[9] ■

Notice what keeps showing up: personality, connection, trust and relationship. I don't see must have been born inside the target demographic anywhere on that list. ■

Radio history gives us a pretty spectacular rebuttal too.

Casey Kasem was born in 1932. When he returned to host American Top 40 in 1998, he was 65 years old. He remained the host of one of America's most youth-oriented music programs until the beginning of 2004, when Ryan Seacrest took over.[10] ■

Nobody listening to Casey Kasem believed Casey had spent Saturday night at the same club they had. That wasn't the relationship. He understood how to tell stories about music and artists in a way that made listeners care. His age wasn't the product. His ability was. ■

There are thousands of less famous versions of that same story throughout broadcasting: programmers, personalities, producers and executives who remained remarkably good at communicating with audiences considerably younger than themselves. It shouldn't surprise us. Great communicators have always been capable of communicating beyond their own demographic. ■

What does the broader hiring research tell us?

This is where the evidence becomes considerably stronger. Age discrimination in American hiring isn't hypothetical. Large controlled field experiments have demonstrated that older applicants can receive fewer callbacks than younger applicants even when researchers carefully control the résumés being submitted. ■

A major study by David Neumark, Ian Burn and Patrick Button involved more than 40,000 fictitious applications. The researchers found robust evidence of age discrimination against older women, especially those approaching retirement age, although the evidence of discrimination against men was considerably weaker after methodological adjustments.[11] That nuance matters. The finding isn't "every older applicant gets discriminated against." The finding is that age discrimination can be measured experimentally in real hiring markets. ■

Other researchers have examined the language employers put into job advertisements. One study found that job-ad language associated with stereotypes about older workers sometimes predicted discriminatory callback behavior, particularly language associated with assumptions about health, personality and skills.[12] Related experimental work found that subtly age-stereotyped job-ad language can also discourage older people from applying in the first place. ■T

There's another uncomfortable connection to radio's shrinking employment market. Research using confidential EEOC data found age-related hiring and firing charges increased when unemployment increased. A separate analysis of correspondence-study data found that each percentage-point rise in local unemployment reduced older women's callback rates relative to younger women by about 15 percent.[13] ■

That doesn't establish that the same percentage applies to broadcasting. It does tell us that age bias can become worse when jobs become scarce and employers have more people competing for each opening.Sound familiar? ■

Broadcasting has produced a modern example outside radio too.

In 2020, CBS Stations Group of Texas agreed to pay $215,000 to settle an EEOC age-discrimination lawsuit involving an experienced television traffic reporter. The advertised job called for at least five years of professional broadcasting experience and strong knowledge of Dallas-Fort Worth traffic. According to the EEOC, CBS instead hired a 24-year-old former NFL cheerleader who did not meet the advertised qualifications. CBS also agreed to provide ADEA training and other relief.[14] ■

A settlement is not the same thing as a trial verdict establishing every allegation as fact. That distinction needs to remain in this article. But this wasn't somebody complaining anonymously on Facebook either. It became a federal age-discrimination case brought by the agency responsible for enforcing the law. ■

What do we actually know about older workers?

This may be the most important part of the entire discussion, because there is a familiar list of assumptions that can appear the moment an older candidate comes across a desk. They won't adapt. They won't learn the technology. They're set in their ways. They won't have the energy. They'll cost too much. They'll miss more work. They won't want to take direction from a younger manager. They're probably going to retire soon anyway, so why invest in them? ■

Those assumptions are so common that researchers have actually tested them. Thomas Ng and Daniel Feldman conducted a meta-analysis covering 418 studies and more than 208,000 workers and evaluated six common stereotypes about older employees: that they're less motivated, less willing to participate in training and career development, more resistant to change, less trusting, less healthy and more vulnerable to work-family imbalance.[15] ■

Of those six stereotypes, only one was consistently supported by the accumulated evidence: older workers were less likely to participate in training and career-development activities.[15] That's quite a batting average for conventional wisdom. ■

But this is also where we shouldn't swing the pendulum all the way to the other side. Aging isn't imaginary. Average differences can exist between populations. The question is whether those averages tell us enough about the particular human being applying for the job.Usually, they don't. ■

"They can't keep up with technology."

There are measurable age gaps in some digital and information-processing skills. OECD research published in 2025 found that older workers, on average, scored lower than younger workers in certain information-processing measures and were less likely to use some newer digital tools and specialized software.[16] ■

But the same OECD analysis points to a major complication: older workers also receive and participate in substantially less training. Training participation drops considerably at older ages, which can create a wonderfully circular argument. Give somebody fewer opportunities to learn the new system, invest less in teaching them to use it, then point to their lower usage as evidence that people their age can't learn the system. ■

Actual training performance tells a different story. A large workplace meta-analysis found age was largely unrelated to performance in training programs.[17] Older workers may participate in less training, but the evidence does not say that when they're actually trained they suddenly lose the ability to learn.

 ■

There's even a striking current example involving AI. AARP's 2026 research among workers age 50 and older found familiarity with AI in the workplace had risen from 39 percent in its first survey wave to 52 percent in the third. Nearly half of older workers expressed interest in AI training, while actual access to training remained much lower.[18] ■

In broadcasting this ought to be remarkably easy to settle. Does the candidate understand automation? Can they edit modern audio? Can they create digital content? Can they use AI intelligently? Can they work inside the station's current workflow? Those are legitimate questions.How old are they? is an extraordinarily poor substitute for asking them. ■

"They're less productive."

This stereotype doesn't fare particularly well either. A systematic review covering 74 studies found no overall productivity difference between younger and older workers. Forty-one percent of findings showed no difference, 31 percent favored younger workers and 28 percent favored older workers. When researchers isolated job-performance findings, older workers performed better in 58 percent of them.[19] ■

Another large meta-analysis found age largely unrelated to core task performance, creativity and performance in training programs. Age did show relationships with other behaviors, including more organizational citizenship and safety behavior and fewer forms of counterproductive workplace behavior.[17] ■

None of that means the 62-year-old automatically outworks the 32-year-old. It means the birthday itself tells us surprisingly little about who will. ■

And in broadcasting, experience can carry a kind of value that's difficult to quantify. Programming, coaching personalities, managing clients, writing copy, handling breaking news, surviving a live technical catastrophe, dealing with a furious advertiser or knowing instinctively when to shut up and let a moment breathe are not skills acquired from a PowerPoint deck. There are things you learn because you've already screwed them up once and remember exactly why you never want to do it again. ■

"They're not creative anymore."

This stereotype should bother broadcasters in particular because we supposedly work in a creative business. The idea that imagination has an expiration date can become an awfully convenient way to eliminate experienced people without ever talking about age. ■

The problem is that the large Ng-Feldman job-performance analysis found no meaningful overall relationship between age and workplace creativity.[17] Creativity can absolutely become stale, but people can become creatively stale at 28 too. ■

A 60-year-old producing yesterday's radio is a problem.A 60-year-old producing tomorrow's radio isn't.That's a creative judgment, not a demographic one. ■

"They're set in their ways."

The enormous Ng-Feldman stereotypes analysis specifically examined the claim that older employees are more resistant to change. Across those 418 studies, that stereotype was not supported overall.[15] ■

That doesn't mean resistance to change isn't real. Anyone who has managed people has met somebody who fights every new idea, every new software update and every new way of doing business. Some of those people are 63.Some are 23. ■

The OECD does find that older workers, on average, can adjust more slowly to certain major technological and labor-market changes.[16] That's worth acknowledging because real differences shouldn't be buried when they complicate the argument. But there's an enormous difference between an average tendency measured across populations and the capabilities of the specific person sitting across the desk in an interview. ■

If adaptability matters, there is a revolutionary piece of technology available for measuring it.Ask the candidate what they've adapted to lately. ■

"They're always going to be out sick."

Here's another area where the honest answer isn't completely one-sided. Physical health risks do increase with age, and the 74-study productivity review found absenteeism was the outcome on which younger workers most consistently had an advantage.[19] ■

But the same review found no overall productivity disadvantage for older employees. In other words, measurable differences in some health-related outcomes don't automatically translate into worse performance overall. That distinction matters even more in broadcasting, where an enormous portion of the job is intellectual, creative, conversational and technical rather than physically demanding. ■

Evaluate the actual person's ability to do the actual job. That seems almost embarrassingly obvious, yet it is the thread running through this entire discussion. ■

"Why train somebody who's going to retire?"

There is surface logic here. Somebody who is 28 potentially has a lot more years left in the labor force than somebody who is 58. The OECD acknowledges that shorter expected working lives can affect incentives for employers and workers to invest in training.[16] ■

But that isn't the whole calculation because older workers also tend to have lower turnover. OECD analysis found employee turnover was approximately 4 percent lower at firms whose share of older workers was 10 percent higher than average. The same research discusses potentially positive complementarities between experienced employees and younger workers through accumulated knowledge, management experience and workplace stability.[20] ■

The 28-year-old may theoretically have another forty years of work ahead.That doesn't mean they're going to give you forty years. ■

In radio — a business where people have historically changed stations, formats, markets, ownership groups and occasionally careers with remarkable frequency — assuming the younger applicant automatically represents the longer-term investment deserves at least as much skepticism as assuming the older applicant doesn't. ■

"They're too expensive."

This one can't be dismissed as a myth. Older and more experienced workers often do earn more. Experience frequently has a price. But there are two different questions hiding inside that fact: Does this person cost more? and Does this person create enough additional value to justify what they cost? ■

Those are legitimate business questions. What shouldn't happen is assuming a veteran candidate won't accept the available salary without ever asking them. "Overqualified" can sometimes become shorthand for a compensation conversation nobody bothered to have. ■

And total cost isn't merely salary. Recruiting costs money. Training costs money. Turnover costs money. Mistakes cost money. Losing institutional knowledge costs money. The cheapest person on the payroll is not automatically the least expensive person with whom to operate the business. ■

The stereotypes themselves can cause damage.

There's another fascinating and slightly disturbing wrinkle in the research. Negative assumptions about aging may not merely affect how employers judge older workers. They can affect the workers themselves. ■

A systematic review of 25 studies found negative age stereotypes were associated with reduced self-efficacy, job satisfaction, performance and participation in learning and development, along with increased intentions to retire. The researchers also cautioned that the existing literature had methodological limitations, another important reason not to oversell the conclusion.[21] ■

A separate meta-analysis examining age-based stereotype threat found a measurable small-to-medium negative effect on performance when older adults were placed in situations that activated negative stereotypes about aging.[22] ■

There is something deeply counterproductive about repeatedly telling people, explicitly or implicitly, that they're becoming less relevant and then treating their disengagement as proof that you were right. ■

So what do the stereotypes really tell us?

There are real average differences associated with aging. Certain physical capabilities change. Some information-processing skills can decline. Older workers participate less in training. Health considerations can change. Experience can cost more. Pretending those things don't exist would make this an advocacy piece rather than an honest examination. ■

But the research also tells us that chronological age is an extraordinarily blunt instrument for predicting the capabilities of an individual employee. Older workers are not broadly less productive. Creativity does not simply disappear with age. Training performance isn't inherently poor. The supposedly universal resistance to change does not survive serious empirical examination. Experienced employees can provide stability, institutional knowledge and skills that complement rather than compete with those of younger employees. ■

Radio people ought to understand the problem with stereotyping better than almost anybody.We've spent our careers telling advertisers that a demographic describes an audience.It never describes every human being inside it. ■

Radio absolutely needs young people.

Any article questioning age bias that doesn't say that clearly is missing half the story. Radio desperately needs younger talent. We need their cultural perspective. Their energy. Their understanding of platforms older broadcasters didn't grow up using. Their ideas about what audio can become rather than nostalgia for what it used to be. ■

We also need to give them somewhere to learn the craft. Jacobs Media's air-talent research has repeatedly documented how dramatically the traditional development system has changed. Overnight and weekend shifts — where generations of broadcasters once learned by making mistakes when fewer people were listening — are increasingly scarce.[2] ■

Technology helped eliminate many of those shifts.Then radio wondered where the next generation of radio personalities went. ■

Young broadcasters need opportunities. But hiring younger people and valuing experienced people are not opposite ideas. In fact, the healthiest version of this business may require both. ■

A 27-year-old who understands today's culture working beside a 57-year-old who has survived six formats, three ownership changes, four morning-show disasters, countless client meetings and enough ratings books to understand that today's unquestionable programming truth may become tomorrow's industry punchline?That doesn't sound like a problem.That sounds like a pretty formidable radio station. ■

Experience doesn't get a lifetime pass either.

Veteran broadcasters have responsibilities in this conversation too. Twenty-five years in radio does not automatically make somebody more qualified than someone with five. Experience can become valuable knowledge, or it can become twenty-five years of repeating the same year over and over again. ■

If your production sounds dated, fix it. If you don't understand digital, learn it. If you don't understand social media, learn it. If AI is changing your job, understand what it can do before declaring it beneath you. If every programming discussion eventually turns into a story about how much better radio was in 1989, the problem may not be age discrimination.It may be you. ■

Experience has value only when it remains relevant. But relevant experience is still experience, and there's a tremendous difference between somebody who has spent thirty years resisting change and somebody who has spent thirty years adapting to it. Radio should be very careful not to confuse the two. ■

The legal distinction matters.

The federal Age Discrimination in Employment Act generally protects applicants and employees age 40 and older from discrimination because of age. The EEOC specifically says those protections apply to hiring and warns against age-based employment decisions and age preferences in job advertising except in narrow circumstances.[23] ■

That doesn't mean employers have to hire the oldest applicant. It means an otherwise qualified applicant's age isn't supposed to become the reason they lose the opportunity. Proving that is another matter. Under the Supreme Court's decision in Gross v. FBL Financial Services, a private-sector plaintiff bringing a disparate-treatment claim under the ADEA generally must establish that age was the "but-for" cause of the adverse employment action.[24] ■

Most hiring managers are unlikely to leave a convenient memo saying, "Great candidate. Terrific ratings. Excellent references. Unfortunately, 58." Reality doesn't usually cooperate like that, which makes self-examination inside companies even more important. ■

Maybe radio should measure the thing it actually cares about.

If contemporary production matters, listen to the production. If social-media ability matters, examine the person's work. If understanding the target matters, ask the candidate how they would program, promote or communicate with that target. If coaching matters, find out whom they've developed. If energy matters, audition them. If salary matters, ask what they need. If technology matters, test whether they can use it. ■

There's no need to use someone's age as a substitute for information we can measure directly. ■

Radio has spent decades becoming extraordinarily sophisticated at defining its audience: Women 25–54. Adults 18–49. Men 25–44. We know exactly whom we're trying to reach. But somewhere along the way, some broadcasters may have begun confusing the demographic description of the listener with the demographic description of the person capable of reaching that listener.Those aren't necessarily the same thing. ■

A great radio station should sound like its audience's life.It doesn't necessarily have to look like its audience's birth certificate. ■

So What Does the Evidence Actually Show?

This is where I want to be especially precise, because there is a huge difference between finding evidence that something happens and proving how frequently it happens across an entire industry. ■

The evidence DOES show that age discrimination exists in American hiring. Large controlled field experiments involving tens of thousands of applications have demonstrated that older applicants can receive fewer callbacks than younger applicants with comparable credentials, although the strength of that effect varies by gender, occupation and study design.[11] ■

The evidence DOES show documented age-discrimination cases and disputes inside broadcasting. Radio cases have involved veteran talent, younger replacements and evidence connecting a station's desire for a younger audience with decisions affecting older personalities. Broadcast television has also produced a significant EEOC hiring case involving an experienced older applicant and a much younger candidate.[4][5][14] ■

The evidence DOES show that radio employment is contracting. There are fewer traditional on-air jobs, and the Bureau of Labor Statistics expects the category to shrink further. That means more qualified people are competing for fewer opportunities, and that alone undoubtedly explains some of what veteran broadcasters are experiencing.[3] ■

The evidence DOES show that older broadcasters make up a substantial portion of at least one recent survey of unemployed radio talent. That finding is worth noticing, but the sample is voluntary and not nationally representative, so it cannot establish an industry-wide discrimination rate.[2] ■

The evidence DOES show that personality, trust, connection and relationship matter enormously to radio audiences across generations. Research does not establish that a personality has to personally belong to the station's target age demographic to create those relationships.[6][7][8][9] ■

The evidence DOES show that many common stereotypes about older workers are either unsupported or dramatically overstated. Older workers are not broadly less productive, age is largely unrelated to workplace creativity and training performance, and a massive meta-analysis found only one of six commonly examined stereotypes — lower participation in training and career development — consistently supported by the data.[15][17][19] ■The evidence DOES show some genuine average differences associated with aging. Older workers participate less in training, can show gaps in certain information-processing and digital skills, can experience greater absenteeism in some studies and may face different health considerations. Those are legitimate issues to manage. What the research does not justify is assuming those averages accurately describe every older applicant.[16][19] ■

Now for what the evidence DOES NOT show. ■

The evidence DOES NOT prove that American radio systematically discriminates against older job applicants. We do not have national applicant-level radio hiring data showing the ages and qualifications of applicants, interviewees and eventual hires. Without that, an industry-wide discrimination claim would go beyond the evidence. ■

The evidence DOES NOT mean that an older broadcaster who loses a job to a younger broadcaster has been discriminated against. Salary, chemistry, format fit, relocation, digital ability, interview performance, management philosophy, specific experience and dozens of legitimate considerations can determine who gets hired. ■

The evidence DOES NOT prove that age and generational experience never matter when connecting with an audience. Cultural fluency matters. Lifestyle knowledge matters. Contemporary references matter. What the evidence doesn't support is using chronological age alone as a reliable measurement of whether somebody possesses those things. ■

And the evidence DOES NOT justify replacing one stereotype with another. Older broadcasters are not automatically better because they're experienced. Younger broadcasters are not automatically more creative because they're young. ■

The evidence points toward a conclusion that is considerably less sensational and probably much more useful:Hire for demonstrated ability. ■

Radio needs young talent, and it needs experienced talent. It needs people who understand technology, culture, storytelling, entertainment, community, sales, creativity and human connection. The best person for a particular job might be 27.They might also be 57. ■

The question worth asking isn't whether the person fits neatly inside the target demo.It's the question radio should have been asking all along:Can this person make people listen? ■

Notes & Sources

1. Data USA, Broadcast Announcers and Radio Disc Jockeys, 2024 workforce data. The reported average age was 45.1; male workers averaged 46.8, with ages 55–59 among the three largest age bands.2. Radio Ink, reporting Jacobs Media AQ6 findings. Among the 58 recently unemployed participants discussed in the follow-up analysis, the majority were male and age 55 or older. AQ6 is a voluntary industry survey and is not a nationally representative census of unemployed broadcasters.3. U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Announcers and DJs. BLS reports approximately 24,100 broadcast announcer/radio DJ jobs in 2024 and projects a 6% decline through 2034.4. Rengers v. WCLR Radio Station, 825 F.2d 160 (7th Cir. 1987). The appeals court upheld a jury finding of a willful ADEA violation involving a 51-year-old personality replaced by a 33-year-old and evidence linking the station's youthful image and 25–34 nighttime target with staffing decisions.5. Roach v. American Radio Systems Corp., 80 F. Supp. 2d 530 (W.D. Pa. 1999). Evidence considered at summary judgment included a lowered target-audience age and management notes describing older personalities as "old sounding." The ruling allowed claims to proceed and should not be characterized as a final finding of liability.6. Benedikt Spangardt, Nicolas Ruth and Holger Schramm, “…And Please Visit Our Facebook Page, Too!” How Radio Presenter Personalities Influence Listeners' Interactions With Radio Stations, Journal of Radio & Audio Media, 2016. The experiment involved 236 radio listeners ages 14–49.7. Jessie M. Quintero Johnson and Paula D. Patnoe-Woodley, Exploring the Influence of Parasocial Relationships and Experiences on Radio Listeners' Consumer Behaviors, Communication Research Reports, 2016. National sample: 2,700 radio listeners in nine U.S. markets.8. Radio Advertising Bureau presentation citing Jacobs Media Techsurvey 2024. Personalities were cited as a main reason for listening by 61% overall, 61% of Gen Z, 68% of Millennials, 65% of Gen X and 55% of Boomers.9. Katz Radio Group, Sound Answers 126 — Favorite Radio Stations, 2026 survey of 1,600 U.S. consumers.10. Detroit Historical Society and historical documentation of American Top 40. Casey Kasem was born in 1932, returned to AT40 in 1998 and remained host until 2004.11. David Neumark, Ian Burn and Patrick Button, Is It Harder for Older Workers to Find Jobs? New and Improved Evidence from a Field Experiment, Journal of Political Economy, 2019. The study used more than 40,000 applications and found robust evidence of discrimination against older women, with considerably less evidence against men after methodological adjustments.12. Ian Burn, Patrick Button, Luis Felipe Munguia Corella and David Neumark, Older Workers Need Not Apply? Ageist Language in Job Ads and Age Discrimination in Hiring, NBER Working Paper 26552.13. Gordon B. Dahl and Matthew M. Knepper, Age Discrimination across the Business Cycle. The authors found age-related hiring and firing charges increased with unemployment and older women's relative callback rates worsened as unemployment rose.14. U.S. Equal Employment Opportunity Commission, CBS Stations Group of Texas age-discrimination settlement, 2020. CBS agreed to pay $215,000 after the EEOC alleged an experienced traffic reporter was passed over for a 24-year-old former NFL cheerleader who did not meet the advertised hiring qualifications.15. Thomas W.H. Ng and Daniel C. Feldman, Evaluating Six Common Stereotypes About Older Workers with Meta-Analytical Data, Personnel Psychology, 2012. The analysis covered 418 studies and 208,204 workers; only lower willingness to participate in training/career development consistently matched the six stereotypes examined.16. OECD, Employment Outlook 2025, section on skills and jobs of older workers. The report documents age-related differences in information-processing skills, technology use and participation in training while emphasizing the need for lifelong learning and better access to training.17. Thomas W.H. Ng and Daniel C. Feldman, The Relationship of Age to Ten Dimensions of Job Performance, Journal of Applied Psychology, 2008. Age was largely unrelated to core task performance, creativity and performance in training programs.18. AARP Research, AI and the Future of Work for Workers Age 50-Plus, updated May 2026. Familiarity with AI in the workplace increased from 39% in Wave 1 to 52% in Wave 3 among workers age 50-plus.19. C.A. Viviani et al., Productivity in Older Versus Younger Workers: A Systematic Literature Review, Work, 2021. Review of 74 studies found no overall productivity difference; 58% of performance findings favored older workers, while absenteeism was the principal measure favoring younger workers.20. OECD, Promoting an Age-Inclusive Workforce. The analysis discusses productive complementarities between generations and reports employee turnover about 4% lower at firms with a 10% higher-than-average share of older workers.21. Jeannette Weber, Peter Angerer and Andreas Müller, Individual Consequences of Age Stereotypes on Older Workers: A Systematic Review, 2019. Twenty-five studies were reviewed; the authors found associations between negative age stereotypes and outcomes including lower self-efficacy, job satisfaction and learning participation, while also noting limitations in study quality.22. Ruth A. Lamont, Hannah J. Swift and Dominic Abrams, A Review and Meta-Analysis of Age-Based Stereotype Threat, Psychology and Aging, 2015. The analysis included 82 effect sizes involving 3,882 participants and found a small-to-medium negative stereotype-threat effect.23. U.S. Equal Employment Opportunity Commission, guidance on the Age Discrimination in Employment Act. The ADEA generally protects employees and applicants age 40 and older and applies to hiring, firing, promotion and other employment decisions.24. Gross v. FBL Financial Services, Inc., 557 U.S. 167 (2009). The Supreme Court held that an ADEA disparate-treatment plaintiff must establish that age was the "but-for" cause of the challenged employment decision.