
AI and Productivity
Using Artificial Intelligence to Improve Processes and Unlock Potential
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI and Productivity
Using Artificial Intelligence to Improve Processes and Unlock Potential
About this book
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
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Information
Table of contents
- Preface
- Acknowledgements
- PART ONE Productivity
- 01 What is productivity?
- 02 Productivity paradoxes
- 03 Brains and AI
- 04 AI vibes and dialogue
- 05 Humans-in-the-loop
- PART TWO Jagged frontier
- 06 Jagged frontier
- 07 Media and art (resistant)
- 08 Education (static)
- 09 Various sectors and AI (spiky)
- 10 Healthcare (broad)
- 11 Research and AI (breakout)
- 12 Physical AI (surge)
- PART THREE Action
- 13 Policies and prompts
- 14 Deploying AI in organizations
- 15 Measuring AI productivity
- PART FOUR Ethics
- 16 Productivity and ethics (weak)
- 17 Productivity and ethics (strong)
- Epilogue
- Index