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Why we picked it This is written for the person deciding whether an AI idea is real, not for the engineer building it, so it stays in plain language a non-technical founder can act on. It names the exact red flags to distrust (jargon with no specifics, a founder who cannot point to a paying customer, a product that is just a thin layer on someone else's model) and the signals that actually hold up (owned data, a narrow real problem, real domain expertise). Treat it as a checklist for pressure-testing a trend, not a verdict on any one company.
Hype vs. Value: Assessing Early-Stage AI Startups for Real Potential
From Unite.AI by Igor Ryabenkiy, Nikolay Kirpichnikov, Sergei Bogdanov and Alexander Korchevsky ~8 min read
- "We added AI" is not a business. Ask what data the startup owns and what specific, expensive problem it removes for a real buyer.
- The signal that a trend is real is willingness to pay and fast iteration on real user feedback, not demo polish or a slick pitch.
- Domain depth is the durable edge. A team that deeply understands one industry can defend a position that a generic wrapper cannot.