If OpenAI released your exact AI model tomorrow, would your product still survive?
That's the question every AI founder and builder should be asking.
Everyone talks about AI models.
Very few talk about what actually creates a lasting competitive advantage.
After looking at how successful AI products evolve, one pattern keeps appearing: many of the strongest products started as internal tools built to solve real problems. The technology matters, but technology alone gets copied.
The real moat comes from combining three things:
• Deep domain knowledge
• Proprietary data
• The talent to turn ideas into production-grade systems
A prototype proves something is possible.
A production system proves it is valuable.
The companies that win won't necessarily have the best model. They'll have the best combination of technology, data, and execution.
I shared my thoughts on why technology, data, and talent together—not individually—decide who wins in AI.
Read here:
https://www.orbittest.dev/blog/ai-competitive-advantage-technology-data-talent
What's your take? If you had to choose one, which is harder to replicate: technology, data, or talent?
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