Preface

I found myself living in two different conversations about artificial intelligence.

In one conversation, colleagues, trainers, consultants, software professionals, and LinkedIn contacts were discussing AI daily. People were experimenting with custom GPTs, coding assistants, automation, AI-generated content, and increasingly sophisticated ways of integrating AI into their work.

I was part of those conversations myself.

I used AI to analyse data, draft emails and reports, create training materials, summarise information, structure presentations, and support research. I built custom GPTs and used AI-assisted coding tools to create software applications.

In many professional circles, AI had become a major topic of discussion.

At the same time, I was hearing a very different perspective.

When talking to friends, family members, neighbours, and people in the local pub, the reactions were often more uncertain.

Some had heard of AI but were not particularly interested. Some had experimented with it briefly. Some used it occasionally to help write an email. Others associated it mainly with image generation or news headlines.

Many people seemed unsure what AI meant for them, their work, or their future.

The contrast was striking. Both groups were talking about the same technology but from entirely different perspectives.

In one world, AI was being discussed as a transformative technology that would reshape industries and professions.

In the other, many people were still trying to answer a much simpler question:

“What does this actually do for me?”

The more I thought about it, the more I realised that this question was entirely reasonable. Most people want to understand AI enough to use it effectively, make informed decisions, and avoid being left behind by changes that may affect their work and everyday lives.

Around the same time, I came across research published by the UK Government as part of its AI Skills for Life and Work programme. The findings reinforced what I was already observing. Awareness of AI was high, yet many people remained unsure how to use it confidently and effectively in their daily work. The report reflected what I had been hearing first-hand.

That observation became one of the main reasons for writing this book.

This book is written for professionals who want practical guidance. It is for people who work with information, communication, planning, decisions, analysis, coordination, and problem-solving. It is for people who have heard the headlines, experimented a little, or perhaps not at all, and want to understand how AI can be applied in realistic and useful ways.

Throughout my career, I have spent much of my time helping people learn, adapt, and navigate change.

Whether the subject was software development, Agile ways of working, leadership, facilitation, coaching, or organisational improvement, the challenge was often similar.

People rarely struggle because they lack intelligence; they struggle because they lack clarity.

They need practical explanations, realistic examples, opportunities to experiment, and enough understanding to build confidence. I believe the same is true for AI.

My own view is that AI is becoming a workplace skill and an essential productivity tool. Over time, AI literacy may become as important as digital literacy. Professionals who learn to use AI are likely to gain advantages in effectiveness, efficiency, quality, communication, learning, and problem-solving.

At the same time, I do not believe AI removes the need for human judgement. In many ways, it makes human judgement even more important.

AI can help draft, summarise, analyse, explain, brainstorm, and organise information.

It cannot take responsibility for decisions. It cannot navigate organisational politics, personal relationships, ethics, accountability, or professional context in the same way that people can.

The goal, therefore, is not to replace human thinking. It is to support and strengthen human thinking. That philosophy runs throughout this book.

You will not find exaggerated claims about AI replacing every profession nor promises that AI can solve every problem. You will not find technical explanations that require a background in computer science.

What you will find is a book designed to help you understand what AI is, what it is not, where it can help, where caution is required, and how to apply it effectively in real-world situations.

AI will continue to evolve. The tools discussed today will improve. New tools will emerge. Some tools will disappear. The underlying principles, however, are likely to remain valuable.

My hope is that this book helps bridge the gap between awareness and capability.

If it helps you feel more confident, more informed, and better equipped to work alongside AI in your professional and personal life, then it will have achieved its purpose.

Thomas Reynolds