Most business podcasts end their season with highlight reels and success stories. But that's not how we roll here at AI Queens.
Instead, Erika is sharing something that might make your accountant cringe: her most expensive AI failures from the past year. We're talking over $6,000 in direct costs plus countless hours that could have been spent actually making money instead of chasing shiny AI objects.
But here's the thing - these failures taught her more about AI than any success story ever could. If her expensive mistakes can save you from making the same ones, then every dollar was worth it.
Key Themes from This Episode:
The $500/month tool addiction and how AI FOMO can destroy your budget
Why trying to create "universal" AI solutions usually fails (and costs you time and money)
The proposal disaster that taught the hard lesson about AI as assistant, not replacement
How AI experimentation can become expensive procrastination disguised as learning
Why your failures are actually your competitive advantage in the AI space
Setting strategic boundaries for AI experimentation without killing innovation
The Bottom Line:
Your expensive AI mistakes aren't embarrassing - they're evidence that you're trying, learning, and not afraid to experiment. The key is failing forward strategically, not randomly.
Credibility in AI doesn't come from a perfect track record. It comes from scars, stories, and the wisdom that only comes from being in the trenches. When you've made the mistakes, you don't just know the marketing promises - you know the real-world limitations.
Ready to stop making expensive AI mistakes and start implementing AI strategically? The Brand-to-Bot Blueprint starts with brand clarity and expertise, then builds AI systems that actually work for your specific business. Learn more at [AI Queens website link].
Additional Resources:
Erika's Chrome Extension Tutorial (coming to Substack this week)
My Post-Audit tech Essentials:
