Human-AI Decoder. Leading the Human Side of Artificial Intelligence (en Inglés) - Mario Jacober

In a time when artificial intelligence is rapidly reshaping the workplace, The Human-AI Decoder offers a timely and practical guide for HR and business leaders navigating the human implications of intelligent systems. The book introduces the AI Workforce Impact Model (AIWIM)—a structured, human-centred framework designed to assess and lead AI-driven workforce transformation. Through real-world use cases, diagnostic tools, and step-by-step guidance, Jacober empowers organisations to move beyond hype and uncertainty, equipping them with the clarity and strategy needed to ethically and effectively manage AI’s disruption of jobs, skills, and organisational design.

What sets this book apart is its emphasis on workforce readiness and the evolution of HR into Human–Machine Resources (HMR), a forward-looking concept that positions HR as a strategic integrator of human and AI capabilities. Jacober argues that AI is not merely a technical upgrade but one that demands new leadership mindsets and collaborative models. With AI agents and autonomous systems entering white-collar domains at scale, The Human-AI Decoder serves as both a playbook and a call to action, urging leaders to centre people in an intelligent world and lead the human side of AI with insight, empathy, and purpose.

The Human AI Decoder offers a timely and practical guide for HR and business leaders navigating the human implications of intelligent systems.