The AI Opportunity Is Real. So Is The Risk.
Every week, new AI businesses launch into the market. Some are useful. Some solve real operational problems. A few may become deeply valuable businesses.
But many are building on dangerous ground.
In this episode of Business Builders, Pavlo Phitidis explores a pattern business owners have seen before: entrepreneurs building successful businesses on top of powerful platforms, only to discover later that the platform itself wants the opportunity.
The current wave of agentic AI businesses faces that exact risk.
The Platform Pattern Business Owners Should Recognise
History has shown this repeatedly.
Social Media Platforms
Early social media businesses encouraged innovation. Entrepreneurs built tools, services and products on top of the platforms.
But once the platforms controlled the audience, the data, the customer relationship and distribution… the balance of power changed. Successful ideas were copied, absorbed or squeezed.
Mobile Networks And WASPs
The same thing happened in telecoms.
Small businesses built profitable data services on top of mobile networks. But once operators needed new revenue and margin growth, they moved closer to the value being created. Some businesses survived. Many disappeared.
Amazon And Marketplace Sellers
Amazon follows a similar pattern today.
Third-party sellers prove demand. Amazon sees the data. Then the platform can compete directly or own more of the customer relationship.
Why AI Businesses Face The Same Structural Risk
The large AI platforms already own critical advantages:
- Infrastructure
- Models
- Capital
- Data loops
- User relationships
That means many AI businesses are effectively building on rented ground.
At first, platforms focus on growth and adoption. But over time, margin pressure and investor expectations shift priorities. That is when platforms start moving closer to profitable use cases.
What Makes An AI Business Defensible?
The question is no longer: “Can you build something using AI?” Many businesses can.
The better question is: “What can you own that the platform cannot easily replace?”
That may include:
- Deep customer trust
- Proprietary operational data
- Embedded workflows
- Industry-specific execution capability
- Long-term customer relationships
At an Asset of Value™ level, defensibility matters because transferable value comes from ownership of systems, relationships and operational advantage, not temporary access to technology.
The Window Will Not Stay Open Forever
There is opportunity in AI right now, especially among later adopters who still need implementation support, confidence and operational guidance.
But timing matters. Some AI businesses may scale successfully. Others may be better built for acquisition before platform pressure intensifies.
The important thing is understanding which business you are actually building.
Ask yourself:
If the underlying AI platform copied your core feature tomorrow, what would customers still need you for?
That answer often reveals whether you are building a durable business or a temporary feature layer.
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