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Catching Up: AI Confidence for Managers
Paperback
Series: Catching Up: AI Confidence
General ReferenceGeneral Computers
Publisher: Independently Published
Published: Jun 7 2026
Pages: 66
Weight: 0.16
Height: 0.16 Width: 5.00 Depth: 8.00
Language: English
If you are being asked to increase productivity, support AI adoption and reassure a worried team - while still delivering everything else on your plate - this practical, one-hour guide is for you.
Catching Up: AI Confidence for Managers is written for team leaders, supervisors, middle managers and heads of function who need enough personal AI fluency to lead confidently, without becoming a technology expert or AI evangelist.
No technical background required. No expectation you have kept up with every development. No pretence that any of this is straightforward.
What's insideSeven core chapters covering the practical AI essentials - what AI is, how to prompt effectively, and how to use it for real management tasks - plus a chapter not included in other editions in the series.
You will learn:
Why middle managers are the missing link in AI adoption - and what that means for you
What AI is genuinely good at for managers: drafting, summarising, preparing for difficult conversations, building business cases
Ten management-specific use cases, ordered by impact
The human side of AI adoption: four types of team response and how to handle each
What to say when your team asks questions you cannot yet answer
How to handle shadow AI in your team
How to model the kind of confident AI use that research shows can raise positive team sentiment from 15% to 55%
Who it's for
Team leaders, supervisors, middle managers and heads of function in any sector who are navigating the dual challenge of building their own AI fluency and leading their teams through AI adoption - often without a clear organisational playbook.
his edition draws on BearingPoint's management and AI transformation study, BCG's AI at Work 2025 survey of 10,600 workers across 11 countries, Gartner's research on management structures, and HR Executive's analysis of the middle manager's role in AI adoption.
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