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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.
Learners demand hands-on experience. The next evolution of training involves AI agents that act as sidekicks, not just explaining concepts but also taking over the user's screen to demonstrate precisely how to perform a task, dramatically accelerating skill acquisition and reducing friction.
Unlike previous technological shifts that required external training, AI removes its own barrier to entry. If you feel overwhelmed, you can simply ask an AI tool to create a personalized, step-by-step learning plan for your specific goals and schedule.
People focus on what AI can do *for* them, but a greater opportunity is what AI can teach them. For the first time, everyone has access to a patient, expert tutor. Professionals should spend their spare time asking an AI to train them in new domains, from coding to product management.
Instead of simply providing polished answers, AI workflows should be designed to foster learning. This involves using AI to challenge an employee's hypothesis, identify weaknesses without auto-correcting, and critique reasoning, turning the tool into a coach that supports independent thought.
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.
The best use of AI in coaching is as a tool for skill practice, not a human replacement. It offers a safe, low-stakes environment for leaders to rehearse challenging scenarios, like difficult conversations, and receive immediate feedback without the judgment of a human observer.
While transformations feel bespoke, AI makes them productizable. AI is effective at scalable coaching and counseling, providing customized tips and guidance between human interactions. This allows companies to deliver personalized transformation journeys without infinite human capital, especially in the crucial 'follow-through' stage.
Standalone training often fails to translate into practice. Coaching acts as a powerful accelerator when paired with a specific learning experience, driving up the implementation of new skills and behaviors by 400% and accelerating adoption up to four times faster.
While tech giants pursue Artificial General Intelligence (AGI), the opportunity for consultants and coaches lies in the opposite: using AI to scale their *specialized* knowledge. This leverages their unique expertise, which clients pay for, rather than competing with large language models on their home turf of general information.
Since AI capabilities are novel, users often struggle with adoption. Rather than using traditional templates or tutorials, a more effective method is to build an AI agent or operator that guides users through the process. This approach uses the AI to teach the user how to leverage AI's potential within the product's specific context.