As AI democratizes information, simply having knowledge is no longer a differentiator. The real expertise lies in its application. Use AI to quickly become an industry expert by identifying key trends, but reserve human effort for interpreting and applying that information for clients.

To move beyond general knowledge, AI firms are creating a new role: the "AI Trainer." These are not contractors but full-time employees, typically PhDs with deep domain expertise and a computer science interest, tasked with systematically improving model competence in specific fields like physics or mathematics.

The common discourse on AI focuses on personal efficiency gains. The bigger, more impactful opportunity for coaches and consultants is to flip the perspective: use AI to build tools that help clients achieve their desired outcomes faster and more effectively. This creates a direct, tangible benefit for the customer.

In its current form, AI primarily benefits experts by amplifying their existing knowledge. An expert can provide better prompts due to a richer vocabulary and more effectively verify the output due to deep domain context. It's a tool that makes knowledgeable people more productive, not a replacement for their expertise.

AI tools disproportionately benefit two types of people: top specialists with deep domain expertise and top generalists with strong metacognitive skills. Generalists who can learn quickly, filter signal from noise, and debug agent failures are now more valuable than ever in a world of high information throughput.

The most effective use of AI is not in areas where you lack knowledge, but in your core areas of expertise. Your deep domain knowledge allows you to direct the AI with precision, discern quality output from mediocre results, and use it as a true apprentice.

It seems counterintuitive, but as the volume of free, general information from AI tools like ChatGPT explodes, the demand for curated, specialized expertise actually grows. Clients need experts not just for information, but to provide a specific, transformative journey that cuts through the noise of generic content.

The biggest failure point in coaching and online courses is the "Grand Canyon" between a client learning something and actually implementing it. AI can bridge this chasm by guiding users through a structured process, asking for context, and generating a customized output, effectively doing the implementation work with them.

As AI capabilities become commoditized, the key to superior output is the user's domain expertise. An expert with precise vocabulary can guide an AI to produce better results in one attempt than a novice can in many, because they can articulate the desired outcome more effectively.