This Is the Cable Moment

Cast your mind back to what cable did to network television. For decades, three or four broadcasters held a monopoly on what millions of people watched, thought about, and talked about at work the next morning. Then cable arrived, and suddenly a guy with a passion for bass fishing had a channel. Cooking shows ran 24 hours. Niche audiences found programming built entirely for them. The monolith fractured into a thousand shards, each one more specific, more loyal, and more alive than anything the networks had manufactured.

AI is about to do the same thing to nearly every industry on earth. And most people are still looking at the wrong part of the story.

The Conversation Keeps Missing the Point

When people talk about AI and business, the conversation defaults to two lanes: AI is going to turbocharge existing giants, or it's going to replace jobs. Both might be partially true. But neither captures what I think is the most significant economic and cultural shift playing out right now.

The real story is about what happens when the cost of building a credible, functioning product drops from five million dollars to fifty thousand, or five hundred. What happens when you no longer need a development team, a marketing department, a legal arm, and a Series A to get something out the door? What happens when the primary inputs are passion, focus, and a clear point of view, and the tools handle the rest?

The answer isn't that the Goliaths get taken down. The major platforms, the large agencies, the incumbent healthcare systems, they play an essential role in the broader digital ecosystem and they aren't going anywhere. But alongside them, there will be real scope for a new class of builders to carve out something meaningful. Attention, engagement, and revenue don't have to consolidate at the top to be worth having. A more distributed world, where passionate, focused operators can build sustainable businesses around specific communities and underserved needs, doesn't threaten the giants. It just fills in everything they were never going to bother with.

This is the part of the AI conversation that isn't getting enough airtime. It's not about disruption in the dramatic, zero-sum sense. It's about the quiet, accumulating reality that thousands of niches, previously too small, too specific, or too expensive to serve, are about to become viable businesses.

What This Actually Looks Like

Think about the categories that have historically required enormous capital just to enter the conversation.

Healthcare. Building a patient-facing digital health product used to mean compliance teams, clinical advisors, and funding rounds measured in eight figures. What happens when a nurse practitioner who specializes in adolescent mental health in rural communities can spin up an app, genuinely useful, thoughtfully designed, precisely targeted, on a fraction of that budget? She doesn't need to serve everyone. She only needs to serve the people nobody else was serving well enough. That's the business. That's the community. And there are hundreds of versions of that story waiting to happen across every age group, condition, and geography that the major health platforms have been too broad to reach.

Music. There are thousands of micro-genres and subcultures, communities of people who share a very specific sonic identity, with no dedicated platform, no publication, no real infrastructure around their enthusiasm. The economics of serving 80,000 people were never attractive to Spotify's editorial team or a major label's A&R department. With AI-assisted content creation, community management, and monetization tooling, that community of 80,000 can now have its own label, its own editorial voice, its own subscription revenue. The passion was always there. The tools just caught up.

Local institutions. The infrastructure required to run a genuinely good city social account, consistent creative, responsive community management, hyperlocal storytelling, used to require a small agency retainer most municipalities couldn't justify. Now a single engaged person with the right tools can build something that actually represents where people live. The same logic applies to school districts, local sports teams, neighborhood associations, regional cultural institutions. They were never unimportant, they were just underserved by the economics.

The thread connecting all of these is simple: the barrier was never the idea. It was always the cost of execution.

The Deeper Shift: Who Gets to Build

What AI is doing, at its core, is collapsing the distance between having a good idea and being able to execute it. That distance used to be measured in capital, team size, and years. It's now measured in weeks, focus, and the willingness to actually go build the thing. That's not a small change. That's a structural reordering of who gets to participate in building products, communities, and businesses.

This is what the cable analogy captures so cleanly. CTV didn't destroy television - it destroyed the logic that said you needed a broadcast tower and a network deal to have an audience. The passion and the point of view were always out there. The distribution just didn't exist yet. The moment it did, people took it and ran.

We are at the same inflection point. The passion and the point of view are everywhere - in every underserved community, every niche subculture, every industry vertical that the incumbents have been too large and too slow to care about properly. AI is the distribution. And as soon as enough people understand that, and get the opportunity to act on it, they will.

The result won't be the death of big companies. It'll be something more interesting: a world where wealth and engagement are spread across a much wider set of players, where the definition of a viable business gets smaller, more specific, and more human. Where the 80,000-person audience isn't a rounding error. It's the whole point.

The question isn't whether AI will replace industries. It's whether industries will survive being replaced by the people they spent years underserving.