Most AI entrepreneurs burn through $50K before they realize they're building the wrong thing. They chase flashy demos instead of solving real problems, then wonder why nobody's buying.

Here's the uncomfortable truth: 85% of AI startups fail within 18 months, not because the technology doesn't work, but because founders fundamentally misunderstand what customers actually want to pay for. While everyone's hyping AGI and ChatGPT wrappers, the companies making millions are quietly automating boring business processes in unglamorous industries.

In This Episode:

> Why vertical AI beats horizontal AI every single time

> The three questions that determine if your AI idea will make money

> Real numbers from companies that cracked the code (and the ones that didn't)

> The skill gap killing 99% of technical founders

Nico breaks down the difference between AI theater and AI profit. You'll hear about the inventory management startup that hit $2M ARR in eight months, the legal tech company that charges $500 per automated contract, and why the most successful AI businesses look nothing like what you see on Twitter.

This isn't about building the next OpenAI. It's about finding the specific problem that businesses will pay $10K per month to solve, then using AI to solve it better than humans can. The opportunities are massive, but only if you know where to look.

Timestamps:

00:00 The $50K mistake

02:15 Why vertical beats horizontal

04:30 Three questions that predict success

07:45 Real company breakdowns

10:20 Skills you actually need

The companies winning at AI aren't the ones with the fanciest models. Follow The Value Engine for the strategies that actually generate revenue.

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Keywords: automation mistakes, zapier alternatives, ai workflows, ai roi, automation consulting

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