Episode 16 — The AI Startup That Loses Money Every Time You Use ItThis startup looks perfect.Customers love it.Usage is exploding.Investors would absolutely take the meeting.There’s just one problem: every time a customer uses the product, the company loses money.In this episode, Mike breaks down *Fictitious AI* — a fast-growing AI research assistant that replaces search and gives fully-cited answers instantly. With tens of thousands of users and thousands of paying subscribers, most founders would call this product-market fit.But instead of reviewing the product, we run a financial reality test.Using simple math — price, usage, and infrastructure cost — we calculate what actually happens when customers use the service. The result reveals a hidden risk inside many modern AI startups: growth can accelerate failure when unit economics don’t work.You’ll see:* how usage-based AI costs quietly exceed subscription pricing* why popular products can still be non-viable businesses* why funding doesn’t fix negative unit economics* and why scaling can make a startup collapse faster, not slowerThis episode isn’t about one company.It’s about a pattern now appearing across the AI economy.Before you raise capital, hire a team, or push growth — you need to know whether your business actually works.Run the same financial reality test yourself:[https://b2bprofitbooks.com/](https://b2bprofitbooks.com/)#Startups #AI #UnitEconomics #SaaS #Founders #VentureCapital #BusinessStrategy #Entrepreneurship