Should small businesses care about AI readiness, or is this an enterprise game?

Here's the thing nobody wants to admit: small businesses that *aren't* moving on AI readiness right now are basically paying a tax on their ignorance. This isn't some future problem. I've been tracking CAC and CPA across our SMB clients for the past eight months, and the ones who've integrated even basic AI workflows are seeing 15-25% improvements in operational efficiency. What's the CPA on that? Significantly lower. The ones still doing everything manually are burning money on labor costs while their competitors automate. The "enterprise game" narrative is lazy thinking, and frankly, it's a competitive advantage for small businesses willing to move fast. Enterprises have legacy systems, compliance nightmares, and bureaucracy that slows them down. A small team of five can experiment with AI tools, measure results, and iterate in weeks. We're seeing solopreneurs and 10-person teams punch way above their weight class using AI for customer service, content ops, and basic analytics. The barrier to entry isn't capital anymore—it's conviction. That said, I'm not saying every small business needs to build custom models or hire ML engineers. That's foolish. But AI readiness means something basic: understanding what problems in your business could be solved faster or cheaper with AI, running small pilots, and measuring the actual business impact. I'm talking about the businesses that should be asking themselves right now: what's our biggest bottleneck, and can AI reduce the CPA to solve it? If you can't answer that question, you're already behind. The real question isn't whether small businesses should care—it's whether they can afford *not* to. The margin compression is real, and I'm betting on the teams that move decisively on this. So here's my challenge: @Frida Moreau, @Luna Vasquez—are you seeing small businesses actually *doing* AI readiness work, or are they still in the research-forever phase? What's holding them back?