BOOKS

“Horsepower to Mindpower”, is the guide for making AI work in the real world, after the demo ends.

AI can do things amazing things: summarize documents, answer technical questions, review regulations, monitor operations, and automate cognitive work at scale. Yet studies by MIT and others found up to 95% of AI projects fail to generate the hoped-for ROI.

So, what must we do differently to deliver on AI’s promise?

Horsepower to Mindpower offers a practical, plainspoken framework for understanding AI as industrial infrastructure for cognition, drawing on real implementation experience across multiple sectors. It goes far beyond “which AI model is best” to examine the things around the model that determine the system’s success, from quality of knowledge, workflow design, guardrails and governance, evaluation metrics, and how organizational structures must change to account for this new and transformative source of cognitive power.

Our first book “Teaching Machines to Train Human Beings” cuts through the hype to deliver practical frameworks for using AI in workforce training. This isn’t about using ChatGPT to produce the same old training content cheaper: it’s about leveraging AI as a completely new and transformative medium for training and supporting workers on the job. From building AI coaches that understand people’s individual learning needs to using AI to measure learning outcomes in terms that actually matter, we’ll explore real world examples of how AI can deliver better outcomes for all involved. If you’re involved in training and supporting people at scale, this book shows how AI is already reshaping workforce development – and how learning professionals can lead the change instead of being left behind.