The Human Layer

AI Turned Red Oceans Blue Again

Yes, AI may lead humanity toward a dystopian world. Many people may lose their jobs. Entire professions may shrink faster than society can emotionally or economically absorb. But if you are young, fast, and willing to learn, there is also a small window of time where this chaos can become an advantage.

My advice is simple: don't only look for brand-new markets. Look again at the markets everyone told you were too crowded.

In Blue Ocean Strategy, a red ocean is a crowded market. Everyone is fighting over the same customers. Margins shrink. Products look similar. The water is red because competition has made it bloody. A blue ocean is the opposite: open space, new rules, less direct competition.

For years, young founders were told to avoid red oceans. If a market already had ten CRMs, twenty project management tools, fifty support platforms, and a hundred marketing dashboards, don't go there. The incumbents had the brand, the data, the integrations, the sales teams, and the distribution. But AI changed the water.

Many Web2 red oceans are becoming blue again because the basis of competition changed. The old software organized work. AI-native software does work. A traditional support tool helps humans answer tickets faster. An AI-native support product tries to solve the ticket before a human sees it. A traditional CRM is a database salespeople must feed. An AI-native CRM should become the salesperson's memory, researcher, assistant, and operator.

This is where young people may have an edge. You do not have the old customer base to protect. You do not have the old roadmap to obey. You do not have a sales team trained to sell the old workflow. You can ask the uncomfortable question directly: if this product were built today, with AI at the center, would it look anything like this?

I see many companies, even startups founded just before the AI wave, struggling with this. They may be young, but they already have customers they cannot afford to lose, so they move carefully. Their pricing depends on seats. Their product depends on manual activity. Their roadmap depends on not scaring existing customers. They are not stupid. They are trapped.

This is also why I get irritated when big companies say they are "adding AI" by putting a chatbot inside an old product. Adding a chatbot to an old workflow is not becoming AI-native. Some companies will genuinely adapt. Many won't. Because becoming AI-native is not a feature. It is a rebuild.

Clayton Christensen described this as the innovator's dilemma: strong companies often fail because they are optimized for the world that made them strong. AI makes that dilemma sharper. The threat is not just a cheaper competitor. The threat is a company with a different cost structure, a different product shape, and a different idea of what the customer is actually buying.

So if you are young, don't be hypnotized by the size of existing companies or afraid of AI. Look for markets where customers already spend money, the pain is real, and the workflow is still full of manual steps. The question is no longer only: where is there no competition? The better question is: where is the competition trapped in an old way of working?

AI has created a wave that shook many companies from the ground up and made them fragile inside their own markets. For young people who can learn fast and build fast, this is the moment to challenge them.

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