The AI Business Opportunity Everyone’s Missing

By The Next Wave

Categories: AI, Product

Summary

Model capabilities aren't what matters in AI—the gap between theoretical and actual AI adoption is the real opportunity. Like electricity in 1881 (only 5% factory adoption by 1900), AI wins require redesigning workflows, not just swapping tools. Success depends on integration, not better models.

Key Takeaways

  1. There's a massive gap between theoretical AI coverage (blue) and observed deployment (red) across industries. Coding has some adoption, but sales, customer service, and business processes remain largely unautomated—this is where builders should focus.
  2. Model improvements won't drive adoption—workflow redesign will. The electricity analogy shows factories only achieved productivity gains after restructuring around the technology, not by substituting old steam processes with electricity.
  3. Integration complexity, not model capability, is the bottleneck. For average AI users, getting another model release this year won't matter; the hard work is embedding AI into existing business processes.
  4. Focus on deployment gaps in high-value industries. Sales, customer service, and business processes show the smallest adoption-to-opportunity ratios—ideal entry points for AI product builders.
  5. Build for workflow transformation, not model swapping. Companies that redesign processes around AI (like the example resolving issues 39% faster) outperform those simply replacing old tools.

Topics

Transcript Excerpt

On today's show, we're going to show you the single most important chart in AI that explains why your company isn't going to be a winner just because you use the best models. You heard that right. The best AI models are not going to dictate who wins and who loses in AI. We're going to give you the actual winning formula and how you can implement it at your company today. All of that and more on this episode of Marketing Against the Green. >> [music] [music] >> All right, Kip, we are here with ye...