There’s a formula that I have been able to put together to explain a phenomenon in our industry. It is a very simple, intuitive equation, but with unsettling consequences:
(YouTube Earnings + Sponsorships) > TV Salary = Host Departure
It’s not theoretical. I’ve watched it play out with enough consistency that the pattern is unmistakable. A host joins a network, earning a respectable salary—comfortable, middle-class security. The station invests in them, providing production support, promotional campaigns, and prime-time slots. Within a year, if they’re any good, they’ve built a social media following in the hundreds of thousands. They start considering launching their own YouTube channel. They assume that they will generate revenues in multiples of what the station pays them (more on this in another article next week)
They leave.
Not always immediately. Sometimes there’s a negotiation where they ask for double, triple their current rate. Sometimes they try to do both—stay on TV while building their independent platform. But the trajectory is clear. The station has become a launchpad, and the host is pointed somewhere else.
Now, I don’t want to name stations explicitly—that feels gratuitous and turns analysis into gossip. But let me theorize by ranking hypothetical stations A through E, ordered by their market dominance and reach.
Station A: The market leader, millions of viewers, sophisticated content and production. Station B: Strong second position, comparable reach, different programming mix. Station C: Mid-tier player, respectable audience, regional influence. Station D: Smaller operation, niche content, loyal but limited viewership. Station E: The scrappy underdog, minimal reach, survival mode economics.
What becomes immediately clear when you map talent exodus against this hierarchy is something counterintuitive: the better you are at your job as a broadcaster, the faster you lose your talent.
The Dominance Paradox
Stations D and E don’t face serious talent retention problems. Their hosts earn modest salaries—call it the lower tier of professional compensation. When these hosts try YouTube independence, their viewership reflects their TV reach: limited. The advertising revenue they generate independently might match, or even fall below, what they’re making on TV. The math doesn’t support leaving.
So Stations D and E keep their hosts. Not because they’re better employers or offer superior working conditions, but because they haven’t given their talent enough reach to make independence viable.
Meanwhile, Stations A and B—the ones with millions of viewers, marketing departments that can make someone a household name, production capabilities that polish rough edges into professional shine—they watch their successful hosts walk out the door with depressing regularity. Their reward for being good at developing talent is losing that talent faster.
Station C occupies an interesting middle position. They have enough reach that independence is theoretically viable, but not so much reach that it’s obviously lucrative. Their hosts face a genuine calculation rather than a clear answer. Some leave. Some stay. It depends on individual risk tolerance and how effectively they’ve built their personal brand beyond the station’s halo.
The system punishes excellence. The more effectively you launch someone, the sooner they no longer need you.
Who Follows, Who Stays
The economics of exodus aren’t just about earnings potential. They depend on something more fundamental: whether audiences are loyal to hosts or to stations.
Viewing patterns break down into roughly three categories, though it’s critical to understand that the majority of audiences are still firmly in the linear TV camp. Digital penetration remains limited outside urban centers, even as it’s growing rapidly—data costs have dropped roughly 70% in the past two years due to telecommunications competition, making digital consumption increasingly viable for urban audiences with connectivity.
Light TV watchers (mostly younger, urban, mobile-first audiences with reliable internet): 30% of their viewing is linear TV, 70% is digital. When a host they like goes independent, they follow without hesitation. This segment is small but growing fast.
Medium TV watchers: Split roughly 50/50 between linear and digital. They might follow their favorite host to YouTube, or they might stick with the station. It depends on how strong the individual connection is. These are typically urban viewers with intermittent digital access.
Heavy TV watchers (the actual majority—rural audiences and urban viewers without consistent connectivity): 70% or more linear TV, minimal digital consumption. They’re loyal to stations, to programming blocks, to the ritual of scheduled viewing. When a host leaves, they shrug and keep watching.
Here’s the trap: the heavy TV watchers represent the bulk of your current audience. They’re stable, loyal, and not going anywhere. But the advertisers paying premium rates are increasingly focused on that smaller segment of urban, digitally-connected viewers—the exact demographic most likely to follow hosts to YouTube when they leave.
Station B has partially solved this through what I’ll call “format resilience.” Instead of betting everything on individual star hosts, they run multiple talk shows with different hosts. When one leaves, the block continues. Audiences tune in for the programming format, not just the personality. It works, mostly. They still lose hosts, but the institutional continuity holds.
Station A took a different approach. They built their model heavily on scripted content—dramas, series, narrative programming where the network is the brand. This makes them less vulnerable to host departure, though not immune. Even drama-led networks need hosts for news, entertainment segments, variety programming.
Stations D and E don’t have sophisticated solutions. They simply operate below the threshold where independence becomes attractive. It’s sustainability through obscurity.
The Development Tax
What’s actually happening here is that successful broadcasters are paying a tax on talent development that their competitors don’t bear.
When Station A or B brings on an unknown host, they’re making a bet. Most hosts don’t connect with audiences. Some are adequate but unremarkable. A few break through. The station absorbs the cost of all the failures and mediocre performers. The production expenses, the airtime, the promotional support—all of that is investment with no guaranteed return.
Then, when they finally discover someone who works, someone audiences respond to, the market allows that person to extract the value individually rather than having it accrue to the institution that found them.
Stations D and E don’t pay this tax because they’re not creating enough value to be worth extracting. Their hosts aren’t getting competing offers. There’s no bidding war for mid-tier talent. The development costs are lower, but so is everything else—reach, production quality, audience engagement.
This raises an uncomfortable question: if the most successful broadcasters are subsidizing YouTube’s talent pipeline, what incentive do they have to keep developing new hosts?
The Platform’s Free Ride
YouTube’s position in this ecosystem is remarkable. They provide infrastructure—hosting, content delivery, basic analytics—but they’re not taking creative risks. They’re not scouting unknown talent. They’re not investing in anyone’s development. They’re waiting for broadcasters to prove that a host has an audience, then offering that host better terms.
The revenue split helps YouTube either way. If the host stays at the TV station and also posts content on YouTube, the platform gets a cut. If the host goes independent and moves entirely to YouTube, the platform gets a cut. They’ve built a system that captures value regardless of where the talent ends up.
For YouTube, this is costless acquisition. Every successful TV host is a potential YouTube creator they didn’t have to develop. The platform benefits from the broadcaster’s investment without having to make that investment themselves.
Some argue this is just market efficiency—talent flowing to where it’s valued most. But that assumes YouTube is actually providing equivalent value to what the stations provide. They’re not. YouTube offers distribution and payment processing. Broadcasters offer discovery, training, production support, promotional ecosystems, editorial guidance, and audience aggregation. These things aren’t equivalent.
YouTube is arbitraging the difference between what broadcasters provide and what they’re able to capture in compensation. They’ve inserted themselves into the value chain at the point where they can extract rent without bearing risk.
The Conversion Mathematics
Let me show you how this actually converts, because the numbers tell a story that’s both predictable and brutal.
A host joins Station A with, say, 15,000 social media followers—enough to be noticeable, not enough to be a star. The station begins broadcasting them weekly in a prime slot. Their reach is suddenly measured in millions.
A Critical Note on “Reach”:
Before we get into the math, we need to address how reach is measured—because averaging reach across a broadcast day is fundamentally misleading. It’s like averaging Bole road speed using a 24-hour cycle. You’d probably get 50-60 km/hr because for most of the 12-hour off-peak period, traffic is near zero and cars are flying through. Tell that to a mother trying to pick up her kid at 3pm, crawling at 10-15 km/hr between 3pm-6pm.
Advertisers pay for rush hour. Not for 3am traffic.
Similarly, no station owns 100% of audiences even in their best time slots. Audiences bleed in and out between stations. Viewers swap channels. Buyers switch during commercial breaks. When Station A claims “20 million weekly reach,” that’s not 20 million people watching any single program. It’s cumulative impressions across all programming, measured at their peak viewing windows.
What matters for host development is concentrated reach during their specific show, in prime slots, when audiences are actually watching. Let’s call this “effective reach”—the real audience pool a host is exposed to consistently.
The Broadcast-to-Social Conversion:
Over 18-24 months of consistent broadcast exposure in prime slots, hosts typically convert between 2-5% of the station’s effective reach into personal social media followers. But this baseline is heavily influenced by the host’s performance and attractiveness—both in terms of charisma and content appeal.
An average host might hit 2-3% conversion. A compelling host with strong on-screen presence, sharp content instincts, and active social engagement can push this to 8-12%. This is where individual talent compounds the broadcaster’s investment.
Let’s use a realistic 4% conversion for a successful host—someone Station A is worried about losing:
Station A effective weekly reach: 20,000,000 impressions
Conversion to personal following: 4%
Host’s social media following after 18-24 months: 800,000 followers
This isn’t spontaneous. These 800,000 people follow the host because they saw them weekly on Station A’s broadcast. The station’s investment—production, promotion, prime time slots—created this following. The host started with 15,000. The broadcaster added 785,000.
Critical note: While hosts maintain active social media presence during their tenure—posting clips, engaging viewers, building show anticipation—they don’t run YouTube channels. Social media (Instagram, Facebook, TikTok) is expected as an extension of broadcast. YouTube is considered independent publishing, and most stations prohibit it while hosts are under contract.
The Social-to-YouTube Conversion:
The host leaves. Now they’re sitting on 800,000 followers across social platforms but zero YouTube presence. They announce they’re launching a YouTube channel.
The second conversion begins:
Existing social following: 800,000
YouTube initial subscriber conversion: 10-15%
Launch day YouTube subscribers: 80,000 - 120,000
That’s a launch base most independent creators take years to build, achieved in a single announcement. From there, if they post consistently (4-8 videos monthly), YouTube’s algorithm favors channels with strong subscriber bases and initial view velocity.
Within 3-6 months post-launch:
YouTube subscribers grow to: 250,000 - 500,000
Average views per video: 150,000 - 350,000
Monthly total views: 2 - 4 million
Monthly revenue at typical CPM rates: 2-4x their TV salary
Add direct brand partnerships (which now flow entirely to the host, not the station), and the math becomes overwhelming.
The Mathematical Cascade:
Let’s compare how this plays out across the station hierarchy, using the same 4% conversion rate for a successful host:
Station A (Market Leader):
Effective weekly reach: 20M impressions
Host social following (4% conversion): 800K followers
YouTube launch subscribers (12% conversion): 96K subscribers
Result: Viable independence at 2-4x TV salary
Station B (Strong Second):
Effective weekly reach: 15M impressions
Host social following (4% conversion): 600K followers
YouTube launch subscribers (12% conversion): 72K subscribers
Result: Viable independence at 2-3x TV salary
Station C (Mid-Tier):
Effective weekly reach: 10M impressions
Host social following (4% conversion): 400K followers
YouTube launch subscribers (12% conversion): 48K subscribers
Result: Marginal independence, 1-1.5x TV salary
Station D (Lower-Tier):
Effective weekly reach: 5M impressions
Host social following (4% conversion): 200K followers
YouTube launch subscribers (12% conversion): 24K subscribers
Result: Independence questionable, roughly equal to or slightly below TV salary
Station E (Minimal Reach):
Effective weekly reach: 2.5M impressions
Host social following (4% conversion): 100K followers
YouTube launch subscribers (12% conversion): 12K subscribers
Result: No viable pathway to independence, YouTube income well below TV salary
The pattern that emerges is that the broadcaster’s reach determines everything. Station A created a 20M impression opportunity, which created 800K followers, which created 96K YouTube subscribers, which created independent income that significantly exceeds institutional salary.
Station D and E don’t face exodus problems not because they’re better at retention, but because their reach is too small to create portability. They’re stable through insignificance.
The broadcaster created the initial reach. The reach created the social following. The social following created the YouTube viability. Each stage was built on the broadcaster’s investment.
But the asset walks away with all of it.
Agencies Feeding the Beast That Marks Them Obsolete
There’s a particular irony in how advertising agencies accelerate the very exodus that undermines their traditional business—and, ultimately, their own relevance. They’ve become enthusiastic enablers of host independence, driven not by superior strategy but by the visibility of data.
Note the word: visibility, not validity.
In linear broadcast, metrics are hard to get granular the way digital social platforms provide. A broadcaster can tell you they reached 20 million impressions, but breaking that down to demographic segments, engagement patterns, or attribution is murky. Nielsen ratings, reach curves, time-shifted viewing—these are real measurements of real audiences, but they’re aggregate, delayed, and require expertise to interpret.
Meanwhile, Instagram analytics show you exactly how many 18-34 year-olds in Addis Ababa watched a story. Facebook tells you click-through rates. YouTube provides watch time down to the second. The data is instant, granular, and presented in dashboards that anyone can screenshot and put in a deck.
The Agency’s Dilemma:
An agency sees a broadcaster’s host with 600,000 social media followers. The growth curve is steep and visible. Engagement rates are quantifiable. They can see exactly which posts performed well, which demographics responded, what time of day generates peak interaction. This is the language agencies speak fluently now—the language their clients understand.
So they reach out directly to the host. “We have a brand that would be perfect for your audience. Let’s do a partnership.”
You might reasonably ask: why don’t they just approach the broadcaster directly? The network has the same host, plus production infrastructure, plus the actual reach that built those 600,000 followers in the first place.
The uncomfortable answer: it’s easier for agencies to explain to their clients using the shiny metrics of a single person independent of the broadcast network brand.
When an agency pitches a broadcaster partnership, they have to explain linear reach. They have to contextualize what “20 million weekly impressions” means. They have to educate the client on how broadcast measurement works, why it’s valuable despite being less granular than digital metrics, how the cumulative effect of repeated exposure creates brand awareness in ways that a single Instagram post can’t.
That’s a harder sell. It requires the client to understand media beyond what they can see in a real-time dashboard. It requires trust in measurement systems they don’t fully grasp.
When an agency pitches a partnership with an independent host who has 600,000 followers, they show screenshots. “Look, 45,000 likes. 2.3% engagement rate. 68% of the audience is 25-34 years old. Here’s the reach, here’s the engagement, here’s the projected impressions.” The client nods. They understand Instagram. They can see the numbers.
Never mind that those 600,000 followers only exist because the broadcaster gave this host access to 20 million people. Never mind that the host’s credibility and recognition—the reason anyone cares about their endorsement—was built through 18 months of prime-time television exposure. The agency isn’t selling that story. They’re selling the dashboard.
The “Social First” Rhetoric:
This is where agencies become ideological about their own convenience. They don’t just choose the easier pitch—they construct a narrative where the easier pitch is also the smarter strategy.
“Traditional broadcast is legacy media. Audiences are moving to digital-first content. Influencer marketing is more authentic. Young consumers trust creators more than they trust brands or networks.”
Some of this is true. Some of it is self-serving mythology. What’s definitely true is that it’s easier to explain and report on.
This leads to a systematic bias: agencies reach out to hosts who have social media followings, offer them brand deals that the broadcaster doesn’t see or benefit from, and reinforce the economic incentive for hosts to go independent. The agency gets a simpler sales process and cleaner reporting. The host gets direct income that doesn’t flow through the network. The broadcaster gets nothing.
The Broadcaster’s Counter-Move (That Doesn’t Actually Counter):
You might ask: why don’t broadcasters extend their content to social platforms, then use those visible digital metrics to capitalize on brand partnerships themselves?
They do! Or they try to.
Most broadcasters now post clips on YouTube, maintain Instagram accounts, push content to Facebook and TikTok. They’re trying to create the same visibility that agencies crave. But they run into two problems.
First, there’s an inherent asymmetry in how these metrics are perceived. When a network’s Instagram account posts a clip and it gets 50,000 views, that’s seen as “the network’s social media.” When a host’s personal account posts the same clip and gets 40,000 views, that’s seen as “the host’s influence.” Agencies treat these differently, even though the content is often identical and the audience overlap is substantial.
Second, and more fundamentally, agencies have decided that they want to be “social first” and they’re fighting a rhetorical battle against what they deem “legacy broadcast models.” This isn’t about measurement accuracy—it’s about positioning. Being an agency that books traditional TV spots feels dated. Being an agency that partners with digital creators feels cutting-edge.
So even when broadcasters provide the same digital metrics, even when they can show combined reach that’s objectively larger than any individual host, agencies still prefer the independent creator relationship. It’s not about the numbers. It’s about the narrative they’re selling to their own clients.
The Cumulative Blindness:
What agencies systematically fail to see—or choose not to see because it complicates their pitch—is the cumulative reach effect of combined network plus social presence.
Let’s see how this unfolds: A host appears on Station A’s broadcast, reaching 20 million impressions. A portion of those viewers follow the host on social media (as we’ve established, 2-5% conversion). The host then posts clips and engagement content on those social platforms. The combined effect is:
Broadcast creates recognition - Millions see the host in a trusted, high-production context
Social creates intimacy - Followers get additional touchpoints and feel personal connection
Broadcast validates social - “As seen on Station A” gives the social presence credibility
Social extends broadcast - Content reaches people who missed the live broadcast
The value isn’t additive. It’s multiplicative. The social following is more valuable because of the broadcast presence. The broadcast presence is more engaging because of the social extension.
But agencies can’t easily put this in a deck. You can’t screenshot “multiplicative effects of integrated media presence.” You can’t show a clean dashboard that proves the broadcast built the social following that now makes the social posts valuable.
So they ignore it. They treat the host’s 600,000 social followers as if they spontaneously materialized, as if the broadcast investment that created them is irrelevant.
The Agency’s Self-Demotion:
Now the irony becomes tragic. By manufacturing this system, agencies have created a power structure that makes themselves obsolete.
The agency reaches out to an independent host. They negotiate a brand deal. The host posts content. The client sees dashboard metrics. Everyone’s happy. Until the client asks a reasonable question: “Why are we paying you to connect us with this host? Can’t we just reach out directly?”
The host, now independent and experienced, is thinking the same thing. “Why am I giving the agency 20-30% when I could just negotiate with brands directly or hire a manager for 10-15%?”
The agency has created a single leverage point between themselves and their clients—the host. And that leverage point is a person who is now sophisticated enough to cut them out entirely. The broadcaster was a complex partner requiring creative strategy, integrated campaigns, production coordination. The independent host is a transaction: pay them, they post, you get metrics.
What happened to the creative agency? It chased metrics that were easily available for reporting and accidentally turned itself into nothing but an influencer agent. A middleman whose value proposition is “we have their phone number.”
Agencies used to build campaigns. They created concepts, developed narratives, produced content, bought media strategically across multiple channels, measured effectiveness holistically. That required genuine expertise. It required understanding audience psychology, creative storytelling, media dynamics.
Now? They’re booking Instagram/TikTok posts. They’re negotiating story placements. They’re tracking engagement rates. This is important work, certainly, but it’s not creative agency work—it’s talent management with a media planning veneer.
The self-demotion is complete: agencies pushed broadcasters out of the equation because dealing with individual hosts was simpler and more dashboard-friendly. In doing so, they eliminated their own value. If you’re not doing the complex work of integrated campaigns, if you’re just connecting brands to individuals with followings, you’re not an agency. You’re a booking service.
The Ecosystem Collapse They’re Ignoring:
In five years, when there are fewer broadcasters doing expensive talent development because the ROI doesn’t work, where will agencies find their next wave of “credible influencers”?
Who will invest in discovering unknowns, training them, putting them in front of millions of people until some percentage break through? Who will create the recognizable personalities that make “influencer marketing” work in the first place?
YouTube won’t do it. Instagram won’t do it. These platforms harvest—they don’t develop. The agencies doing the harvesting alongside them are feeding a beast that will eventually devour the ecosystem that made their business model possible.
The current influencers they’re booking all have one thing in common: someone else took the risk of discovering and developing them. Most got their start on traditional media—television, radio, established digital publishers. Someone invested in them when they were unknown. Someone gave them a platform before they had a following.
As that investment dries up because the returns flow to individuals and platforms rather than to the institutions making the investment, the pipeline of new “influencers” narrows. Who’s left? People who are already famous (celebrities who don’t need agency representation), people who are independently wealthy enough to build followings without institutional support, and algorithmic lottery winners whose success is random rather than cultivated.
None of these categories need creative agencies. Celebrities have managers. Wealthy independents can hire freelancers. Lottery winners are one-hit wonders who don’t generate sustainable partnerships.
The Dashboard Trap:
What we’re watching is the triumph of visible metrics over effective strategy, and agencies are the ones pulling the trigger on their own relevance.
They chose the easy pitch over the strategic one. They chose dashboard screenshots over integrated campaign thinking. They chose transaction management over creative partnership. And in doing so, they’ve reduced themselves to a function that clients and hosts will eventually realize they can perform themselves.
You measure what you can see. You value what you measure. You optimize for what you value. Eventually, you forget that the invisible things were what mattered most.
Broadcast reach built the influencer. The influencer’s social metrics are visible. The agency values the visible metrics. The broadcaster who built the asset gets nothing. And the agency, having eliminated the broadcaster and simplified its own role to mere logistics, discovers it has made itself redundant.
The irony is perfect: agencies are actively destroying both the infrastructure that creates the assets they want to monetize and the complexity that justified their own existence. They’re doing it because their clients prefer dashboards to reality, and because explaining complexity felt harder than booking Instagram posts.
What happened to the creative agency? It chased metrics easily available for reporting and woke up one morning to discover it had become a contact list with a commission structure.
The obvious response is to lock talent down with contracts. Make them binding. Make them restrictive. If you’re investing in someone’s development, shouldn’t you be able to capture the returns?
Some broadcasters try exactly this. Multi-year contracts with exclusivity provisions, non-compete clauses, restrictions on independent content creation. On paper, it looks like protection.
In practice, it’s far more complicated.
First, there’s the enforcement problem. Even with a strong contract, what are you actually going to do if a host leaves? Sue them? That’s expensive, time-consuming, and generates exactly the kind of publicity that makes you look like the villain. “Major broadcaster crushes rising talent with legal action” is not the headline that attracts the next generation of hosts.
Second, there’s the fundamental paradox: you can’t hide the talent from reach. The entire point of having a host is to put them in front of audiences. You need them on screen. And in the current media environment, you also need them on social media—posting clips, engaging with viewers, building anticipation for the next episode. Broadcast now uses social platforms as an essential extension of the linear product.
So even with a restrictive contract, you’re still required to build their following. You’re contractually preventing them from leaving while simultaneously creating all the conditions that make leaving attractive and viable. The contract might delay departure, but it can’t prevent the mathematics from clarifying.
Third, restrictive contracts make recruitment harder. If you’re a promising host evaluating offers, are you signing with the station that wants to own three years of your life with iron-clad restrictions, or the one offering more flexibility? The broadcasters who lock talent down most aggressively often find themselves recruiting from a shallower pool.
Some stations have tried hybrid approaches: contracts that allow side projects but require the station to get a percentage of external earnings. This creates its own tensions. Now you’re trying to track YouTube revenue, brand partnerships, speaking fees—turning the relationship adversarial. The host starts viewing the station not as a partner but as someone taking a cut of money they’re earning independently.
The contract trap returns disguised: you need to expose talent to build the show, exposure builds portable value, and no contract can really prevent someone from eventually capturing that value themselves.
Format vs. Personality
Station B’s relative stability comes from betting on formats rather than personalities. Their structured program blocks continue regardless of who’s hosting. The show is the brand, not the person.
This works, but it has costs. Format-driven programming is harder to market. Personalities sell—you can build promotional campaigns around a charismatic host, generate social media engagement, create moments that transcend the specific episode. Formats are more abstract. A formatted debate segment is a harder sell than a specific host’s confrontational interview style.
Format-driven content also tends to be less portable to digital platforms. A specific host’s take on something can work as a YouTube video. A formatted segment, stripped from its TV context, often feels incomplete. The value is in the institutional framing, the production, the context—exactly the things that don’t travel well to independent platforms.
So Station B maintains continuity, but possibly at the cost of viral moments, social media amplification, and the kind of buzz that drives younger audiences. They’ve chosen stability over stardom. That’s a defensible choice, but it’s not obviously the right one for maximizing reach or revenue.
The Incubator Problem
What we’re seeing is a specific manifestation of a broader problem: institutions can’t easily compete when the barriers to exit are zero and the platforms are efficient at extracting proven talent.
A broadcaster operates with higher costs because they do more than distribute content. They maintain editorial standards, they provide legal protection, they handle production logistics, they take risks on development. These things have value, but that value is diffuse. It becomes visible only when it’s absent.
An individual host can capture a larger percentage of revenue by going independent, even if their total output is smaller and less consistent. The immediate financial incentive points toward leaving. The long-term institutional benefits—stability, support, legal protection, production quality—these are harder to quantify and easy to undervalue until you lose them.
This creates a situation where the rational individual choice undermines the collective ecosystem. Every host who leaves makes it slightly harder to justify investing in the next unknown talent. Every successful departure provides a template for others to follow.
Stations D and E don’t face this problem because they’re not creating enough value to extract. Stations A and B face it constantly because they’re good at what they do. The better you are at developing talent, the more you become a training ground for your competitors.
The Broadcast-to-Digital Pipeline
Successful broadcasters have inadvertently built the most efficient talent pipeline that YouTube could ask for.
Someone unknown joins Station A or B. The station invests in them—training, production support, promotional campaigns, prime time exposure. They develop their skills in a supported environment. They learn how to hold an audience, how to structure content, how to navigate sensitive topics. They make mistakes when the stakes are relatively low and the institution absorbs the consequences.
Then, once they’ve been refined and proven, once they have the skills and the following to succeed independently, they leave. YouTube gets a fully-formed creator. The broadcaster gets... the satisfaction of having developed them? The knowledge that they’re good at spotting talent?
This isn’t sustainable. If every successful host leaves, you’re operating an expensive training program with no return on investment. The only people who stay are those who aren’t good enough to leave—exactly the opposite of what you want.
Some broadcasters are trying to own the transition. If hosts want to create digital content, the station produces and owns it. Stations A and B have both experimented with creating digital-first content for station-owned platforms. This works if you can build those platforms fast enough and make them attractive enough that hosts prefer your infrastructure to complete independence.
But you’re competing with YouTube’s distribution, with their recommendation algorithms, with their established monetization systems. Building an alternative is expensive and uncertain. Most regional broadcasters don’t have the resources to create a viable competitor to global platforms.
No Good Options
The brutal reality is that there are no clean solutions here.
You can try revenue sharing, but it doesn’t change the fundamental portability problem. You can try format-over-personality programming, but you sacrifice viral potential and social media engagement. You can try to build your own digital platforms, but you’re competing with global tech companies that have resources you can’t match. You can try subscription models, but audiences are habituated to free content.
Some broadcasters are simply accepting higher turnover as the new normal. They’re adjusting their investment calculations—if you know you’ll only keep a host for a few years after they break through, you try to extract value faster. You invest less in long-term development. You look for people who are already partially formed rather than complete unknowns.
This works financially, maybe. But it changes what you can do. It makes you less willing to take real risks on unusual voices who need time to develop. It makes everything more transactional, more short-term, more focused on immediate returns.
The smaller stations—D and E—they’re not facing existential crises. They’re operating in a space where independence isn’t attractive enough to drain their talent. They’re stable, but they’re stable at a level of reach and impact that’s inherently limited.
The larger stations—A and B—they’re caught in the incubator’s curse. The better they are at creating stars, the faster they lose them. The more successful they are at reaching valuable demographics, the more portable their talent becomes.
Rest Of The World
This pattern isn’t confined to one market or one medium. The same dynamics play out in American podcasting, British television, Korean entertainment, Brazilian radio. The specific numbers differ, but the formula is the same.
When distribution costs collapse to zero, when audiences can follow talent across platforms effortlessly, when global platforms can arbitrage local development investments, institutions that create value struggle to capture it.
This isn’t just about business models. It’s about whether the institutions that discover talent, that take risks on unknowns, that maintain editorial standards and production quality—whether those institutions can survive in an environment where successful talent has every incentive to leave.
If they can’t, we’re not just losing some companies’ profitability. We’re losing the infrastructure that makes talent development possible at scale. We’re losing the cultural aggregation that allows societies to have shared conversations. We’re losing the patient investment in unusual voices that takes time to pay off.
YouTube doesn’t develop anyone. It harvests what others have cultivated. That’s a brilliant business model for YouTube. It’s less clear that it’s sustainable for the broader media ecosystem.
The math is simple and brutal: the better you are at your job, the faster you lose the people who make you good at it.
And nobody has figured out how to change the equation.
The Platform-Native Illusion
Someone will inevitably point out: “But what about all the influencers who were never on TV? What about the ones who built their following purely on YouTube or Instagram without any broadcaster investment?”
They exist. Absolutely. And they’re important to acknowledge—not because they disprove the argument, but because they illustrate a different function entirely.
Platform-native influencers serve as proof of concept. They’re the lottery winners who show that independent success is possible. Every kid with a phone sees someone who started in their bedroom and now has 500,000 followers, and thinks: “I could do that.”
This mass education of possibility is valuable—for the platforms. It keeps the content pipeline full. It ensures millions of people are creating, uploading, posting, hoping to be the next success story. Most won’t be. But their collective effort keeps the platform fed with content, and occasionally, one breaks through.
Platform-native influencers who succeed without institutional support are either exceptionally talented outliers or they’re operating in niches that don’t require the production values and credibility that broadcaster-developed talent brings.
A beauty tutorial filmed in a bedroom can succeed independently. A bite size news streamer can build an audience through consistency and skill. A comedian posting skits can go viral. These are real pathways.
The platform-native success stories don’t replace broadcaster-developed talent—they create the illusion that institutional investment is unnecessary. They make hosts think: “If that person built 300,000 followers from nothing, imagine what I can do with the 600,000 followers the broadcaster gave me.”
The platforms need both. They need the bedroom creators to maintain the mythology of accessible success. And they need the broadcaster-developed talent to provide the credibility, production quality, and professionalism that brands actually want to pay for.
The difference is: the platforms invest in neither. They harvest both.