Glenn Gow, The Scaling Executive Coach and host of The Scaling Executive Podcast, sits down with Ezra Menaged, CEO of Hometalk, a digital media company acquired by Vertical Scope five years ago. Ezra rose through the organization from Director of Ad Operations and Paid Acquisition to Head of Growth, COO, and CEO, consistently growing ad tech revenue 30% year over year and scaling a messenger subscriber base to 3.5 million users. He now leads Hometalk while navigating one of the most structurally challenging moments in the history of digital media: a world in which AI is making content production accessible to everyone.
This conversation covers why taste and proprietary data become the only durable competitive advantages when production costs drop toward zero, how leaders who grow up inside a company build trust with people they used to work alongside, and why media companies must treat platform dependence as a permanent threat rather than a solved problem.
This episode is for CEOs of media, content, and platform businesses who are confronting the AI content commoditization question and want a clear-eyed framework for what actually survives when the cost of production goes to zero.
Key Takeaways
- Ezra Menaged argues that when AI makes it easy for everyone to produce content, apps, and tools, the value of production itself trends toward zero, and the two assets that maintain competitive uniqueness are taste, the human judgment behind which choices to make, and proprietary data, the accumulated information base that no competitor can replicate.
- Ezra says the most important reframe for leaders scaling through an organization is understanding early that not everything has to be done your way, and that winning through other people’s approaches is a skill that must be deliberately built.
- Glenn Gow identifies consistent platform disruption, from Facebook algorithm changes to Google search updates, as the defining structural reality of digital media, and Ezra’s response is to treat wave-riding as a system that must be institutionalized, not a talent to be improvised.
- Ezra Menaged’s AI adoption philosophy at Hometalk centers on automating busy work to free employees for higher-order work, positioning team members as wielders of AI tools rather than candidates for replacement by them.
- Ezra says the leaders who navigate rapid role transitions successfully are the ones who build trust in themselves over time, acknowledge imposter syndrome rather than suppressing it, and remain genuinely willing to learn from anyone, including people they now manage.
When Production Costs Hit Zero, Taste and Data Become the Only Things That Cannot Be Copied
Ezra Menaged’s competitive framing for the AI era is built on a direct observation about what happens when a capability becomes universally accessible. When anyone can produce content, tools, apps, and sites with AI, the value attached to production itself does not just decline. It trends toward zero. That is not a prediction about the distant future. For Ezra, it is already happening.
“A lot of people are gonna be able to produce content, tools, apps, sites, everything with AI. It becomes very easy. It makes you think for a second, if everybody can produce something, then it makes the value go down potentially to zero over time.”
The question Ezra asks himself in response is not how to produce more, faster. It is what remains when production is no longer a differentiator.
“You gotta keep asking yourself, okay, what remains? What keeps me unique and what keeps me relevant? What keeps me competitive? As I’ve been asking myself that question, there’s a very clear answer that everybody keeps answering, which is taste.”
Taste, as Ezra defines it, is the human judgment layer that sits above production. When AI can generate version A, version B, and version C of anything, the competitive advantage belongs to the person or organization that consistently makes better choices between those versions. Which direction is worth pursuing? Which execution is stronger? What does the audience actually want? Those decisions cannot be automated because they require a point of view, a developed aesthetic, and an accumulated understanding of what works that is specific to the person or company making them.
The second asset Ezra identifies is proprietary data. When AI tools are available to everyone, the inputs that distinguish outputs are the data those tools are trained on or given access to. A media company with a decade of audience behavior, engagement patterns, and content performance data has a raw material advantage that cannot be acquired quickly.
“As a company that has tons of data in various different formats, your ability to produce from that new products and different, interesting twists on the current product, just utilizing the underlying data, gives you a certain advantage.”
The competitive frame Ezra is building is not about being the fastest producer. It is about being the organization with the best judgment and the richest proprietary inputs. Those are the two things AI cannot replicate from the outside.
Media Companies That Treat Platform Dependence as a Solved Problem Will Not Survive
Hometalk operates in a media environment where distribution is perpetually at the mercy of decisions made by companies far larger than itself. Facebook algorithm changes, Google search updates, and platform policy shifts have each disrupted business models that appeared stable. Ezra’s response to that reality is not a defensive posture. It is an operating philosophy built on the assumption that the current wave will always end.
“You always have to be iterative, you always have to find the next wave to ride on. Because in the media space, you’re always challenged with some other tech giant taking away something that you previously took for granted. And you’re always continuously searching on the horizon for the next wave to ride on.”
The insight Ezra carries from a decade of navigating this environment is that the search for the next wave cannot be an ad hoc response to disruption. It must be systematized and handed off. The moment a team gets something working, the leader’s job is to transfer ownership of that thing to someone else and free up capacity to find what comes next.
“Being able to systemize that and pass that over to somebody else as quickly as possible so that you can free up capacity to continue to find the next thing.”
The structural implication is direct: a media company CEO who is still managing the current distribution strategy has already lost the horizon. The role is to be one wave ahead, always, and to build the organizational infrastructure that runs what is already working without requiring the leader’s daily involvement.
Leaders Who Rise Through the Ranks Must Earn Trust on Both Sides of the Role Change
Ezra Menaged’s path to the CEO seat at Hometalk was internal and rapid. He came up through ad operations, then ran paid acquisition, then growth, then COO, then CEO, within the same organization where many of his eventual direct reports had been his peers, and in at least one case, his manager.
His approach to navigating that complexity is grounded in consistency of character rather than in asserting authority.
“I try to keep the same face for everybody pretty much. I try to talk to my employee and my manager in the same manner pretty much. So I try to keep real to myself. And that is somewhat allowed me to manage through that scenario.”
The consistency Ezra describes is not about being the same in every conversation. It is about not becoming a different person when the org chart changes. The people who watched him rise know who he is. Maintaining that continuity is what allows trust to persist through what could otherwise be a disruptive transition.
The psychological dimension of rapid role change is something Ezra addresses directly. At every stage, he encountered something new he did not know how to do. His CEO mentor’s response was consistent: you figured out everything before this, you will figure this out too. That reframe, from “I don’t know how to do this” to “I will learn how to do this,” is what Ezra identifies as the core mechanism of successful transitions.
“There’s a certain level of trust in yourself that you’ll figure it out with hard work, being willing and able to learn from anybody and everybody. That really helps throughout these processes to ground you and help you understand that there’s nothing that’s the end of the world. It’s all like you know it’ll all be fine.”
The willingness to learn from anyone, including people who now report to him, is not a posture Ezra describes as comfortable. It is one he describes as necessary, and one that his internal rise made structurally visible. Leaders who come in from outside can sometimes hide the gaps. Leaders who rose from within cannot, and that transparency, when handled well, becomes a source of credibility rather than a liability.
Hometalk’s AI Adoption Positions Employees as Wielders, Not Targets
Hometalk has been building AI adoption into its operations from early on. The team uses Claude Code for development, applies AI across content production, builds agentic workflows into daily operations, and uses AI to produce financial models, presentations, and test sites that previously required significantly more time. Ezra frames this not as a headcount reduction strategy but as a capacity expansion strategy.
“The approach that we’re taking is less: hey, automate your job so we can let you go. More: let’s figure out how do we automate your busy work so we can empower you to do other things.”
The language Ezra reaches for to describe where this is heading is specific: wielders. He wants Hometalk’s employees to become wielders of AI tools, people whose value is in how they use the technology rather than in the tasks the technology now performs.
“People that will be wielding the AI tools are what really actually matters. So we’re looking to build up our employees in a way that prepares them for the next phase, meaning prepares them for the next phase that their job becomes wielders of the tools and the tech rather than being replaced by them.”
This framing connects directly to his competitive thesis. If taste is the differentiator, the people who develop the best taste in deploying AI tools are the people who win. Training employees to be thoughtful wielders rather than passive users of AI is therefore not a culture initiative. It is a strategic investment in the core competitive asset.
What Ezra Menaged Builds and Applies at Hometalk
| Principle | What it means in practice | Named evidence from this interview |
| When production commoditizes, compete on taste and data | As AI makes content, apps, and tools universally producible, the value of production declines toward zero. The assets that hold value are the judgment behind which choices to make and the proprietary data that no competitor can acquire. | Ezra identifies taste and data as Hometalk’s two primary sources of competitive uniqueness as AI lowers the cost of content production across the industry |
| Treat the current wave as temporary and systemize the handoff | Media company survival depends on finding the next distribution channel before the current one fails. That search must be institutionalized: systematize what is working, hand it off, and free up leadership capacity to find what comes next. | Ezra describes a decade of navigating Facebook and Google algorithm disruptions by consistently moving to find the next wave rather than defending the current one |
| Keep the same face across every level of the organization | Leaders who rise internally must maintain consistency of character through rapid role changes. Becoming a different person when the org chart changes destroys the trust that internal credibility builds. | Ezra describes talking to employees and managers in the same manner and keeping the same face for everyone as the mechanism that allowed him to manage through transitions where former peers became direct reports |
| Build AI adoption around empowering wielders, not reducing headcount | The organizations that win with AI are those that build employees’ capacity to use the tools with judgment, not those that use AI to eliminate roles. The human layer on top of AI execution is where competitive advantage concentrates. | Hometalk’s AI adoption philosophy centers on automating busy work to free employees for higher-order work, explicitly positioning team members as wielders rather than candidates for replacement |
| Trust that you will figure it out, then demonstrate that by learning from everyone | Rapid role transitions require tolerance for not knowing, combined with the willingness to learn from anyone in the organization regardless of their seniority relative to yours. That combination, self-trust plus openness, is what sustains performance through transitions where expertise gaps are unavoidable. | Ezra credits his CEO mentor’s consistent reframe, you figured everything out before this, you will figure this out too, as the grounding mechanism that allowed him to move through rapid role changes without being derailed by imposter syndrome |
Quotes from This Episode
- “A lot of people are gonna be able to produce content, tools, apps, sites, everything with AI. It becomes very easy. If everybody can produce something, then it makes the value go down potentially to zero over time. In light of that, you gotta keep asking yourself, okay, what remains? What keeps me unique and what keeps me relevant? What keeps me competitive? As I’ve been asking myself that question, there’s a very clear answer that everybody keeps answering, which is taste.” — Ezra Menaged, CEO, Hometalk
- “The approach that we’re taking is less: hey, automate your job so we can let you go. More: let’s figure out how do we automate your busy work so we can empower you to do other things. People that will be wielding the AI tools are what really actually matters.” — Ezra Menaged, CEO, Hometalk
- “You always have to be iterative, you always have to find the next wave to ride on. Because in the media space, you’re always challenged with some other tech giant taking away something that you previously took for granted.” — Ezra Menaged, CEO, Hometalk
- “I try to keep the same face for everybody pretty much. I try to talk to my employee and my manager in the same manner pretty much. So I try to keep real to myself. And that is somewhat allowed me to manage through that scenario.” — Ezra Menaged, CEO, Hometalk
- “There’s a certain level of trust in yourself that you’ll figure it out with hard work, being willing and able to learn from anybody and everybody. That really helps throughout these processes to ground you and help you understand that there’s nothing that’s the end of the world.” — Ezra Menaged, CEO, Hometalk
Frequently Asked Questions
How do media and content companies stay competitive when AI makes content production universally accessible?
Ezra Menaged’s answer is that when production becomes free and universal, the assets that maintain competitive uniqueness are taste and proprietary data. Taste is the judgment layer that sits above production: the ability to consistently make better choices between AI-generated options, to identify what is worth pursuing, and to recognize which execution will resonate with a specific audience. Proprietary data is the accumulated information base that competitors cannot acquire quickly: audience behavior, content performance history, and engagement patterns built over years. Ezra argues that companies competing on production volume alone will see their value compressed toward zero, while companies that invest in developing organizational taste and protecting their data assets will hold durable differentiation.
How do leaders who rise through a company’s ranks build and maintain trust when they begin managing former peers?
Ezra Menaged’s approach is character consistency rather than authority assertion. He describes maintaining the same manner of engagement with everyone regardless of where they sit on the org chart, a discipline he identifies as what allowed him to navigate transitions where former peers became direct reports and at least one former manager became his employee. The underlying principle is that the people who watched you rise know who you are, and becoming a different person when your title changes destroys the accumulated credibility that internal growth builds. Ezra pairs this with a willingness to openly acknowledge what he does not know and learn from anyone in the organization, which he credits to his CEO mentor’s consistent reframe: you figured out everything before this, and you will figure this out too.
How should media company CEOs think about building AI adoption inside their organizations?
Ezra Menaged’s philosophy at Hometalk is to position AI as a busy work eliminator rather than a headcount reducer, with the explicit goal of developing employees into wielders of AI tools rather than replacing them with automation. Hometalk uses Claude Code for development, applies AI across content production, and builds agentic workflows into daily operations across every function. The strategic logic behind this approach connects to Ezra’s competitive thesis: if taste is the primary differentiator in a world where production is commoditized, then the employees who develop the best judgment in deploying AI tools are the company’s most valuable competitive asset. Training them to wield rather than simply use AI is therefore a direct investment in the organization’s primary source of advantage.
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Glenn Gow is The Scaling Executive Coach — he coaches ambitious executives into the CEO seat and CEOs into successful exits. With 25 years as a CEO and 5 years in venture capital, Glenn helps leaders scale their companies by scaling themselves first. If this conversation was useful, you can apply for executive coaching with Glenn Gow or apply to be a guest on The Scaling Executive Podcast.
