AI and Productivity

Is AI in your organization driving real productivity or creating costly distractions? AI and Productivity by Donald Clark is a strategic guide for senior leaders and people executives who want to harness artificial intelligence to improve efficiency, strengthen workforce capability and protect long-term business performance. Written by a leading industry voice, this book provides proven tools for assessing where AI genuinely adds value, and where it risks undermining skills, curiosity and critical thinking. It addresses the unstructured, rapid adoption of AI, offering governance-led approaches to integrate it effectively across recruitment, HR and Learning and Development.
You'll discover how to: - Identify high-impact AI applications that align with strategic objectives - Avoid productivity loss from poorly targeted AI implementation - Safeguard employee learning, problem-solving and communication skills - Balance efficiency gains with talent development and cultural health
With real-world insights and practical frameworks, AI and Productivity equips senior decision-makers to ensure AI adoption delivers measurable results while sustaining the human capabilities essential for future success. Themes include: AI strategy, governance, workforce capability, productivity, talent development

Donald Clark has over 30 years' experience in online learning, simulations, virtual reality, mobile and artificial intelligence projects. He was a founding member of Epic Group plc and the Founder and CEO of Wildfire Learning. He is a frequent global speaker, blogger, advisor and researcher and is also a Visiting Professor at the University of Derby. He is based in Brighton, UK.

Section - ONE: Productivity Chapter - 01: What is productivity?; Chapter - 02: Productivity paradoxes; Chapter - 03: Brains and AI; Chapter - 04: AI vibes and dialogue; Chapter - 05: Humans-in-the-loop; Section - TWO: Jagged frontier; Chapter - 06: Jagged frontier; Chapter - 07: Media and art (resistant); Chapter - 08: Education (static); Chapter - 09: Various sectors and AI (spiky); Chapter - 10: Healthcare (broad); Chapter - 11: Research and AI (breakout); Chapter - 12: Physical AI (surge); Section - THREE: Action; Chapter - 13: Policies and prompts; Chapter - 14: Deploying AI in organizations; Chapter - 15: Measuring AI productivity; Section - FOUR: Ethics; Chapter - 16: Productivity and ethics (weak); Chapter - 17: Productivity and ethics (strong);