Why This Book, Why Now

For more than 20 years, the UK has navigated successive waves of digital transformation. Each wave has brought genuine promise, yet each has also revealed persistent gaps between ambition and delivery, between headline announcements and experience on the ground.

The UK faces a choice between fundamentally different approaches: follow the US model of speed and platform dependency, follow the EU model of comprehensive regulation, or pursue an adaptive path — building sovereign capability in areas that matter most and using the UK’s distinctive institutional assets as proving grounds for AI that is both innovative and accountable. This book argues for the third path.

The UK’s AI Strategy: At the Crossroads

Infographic overview of the UK's AI strategy: the five paradoxes facing leaders, a blueprint for action across institutions, workforce and ethics, and the implementation roadmap

Three Parts, One Argument

Part I

What Got Us Here

The UK’s digital history — the patterns of success and failure that will determine whether AI adoption succeeds or stalls.

Part II

What Matters Now

The institutional, workforce, and governance challenges that must be addressed before path dependencies lock in.

Part III

What Comes Next

Competing international models, an adaptive path that plays to UK strengths, and practical steps to turn strategy into delivery.

Full Chapter Guide

1
Part I

AI and the UK Digital Economy

Why AI represents a qualitatively different phase of technological change, and why the UK must decide how much control to retain over its digital future.

2
Part I

Lessons from UK Digital Transformation

What decades of GDS, Universal Credit, and NHS digitisation reveal about institutional capability and recurring structural constraints.

3
Part II

The UK’s AI Challenge and Opportunity Today

The gap between the UK’s stated AI strategy and what is actually happening across finance, health, and infrastructure.

4
Part II

Adapting the UK’s Institutions

How governance, incentives, and organisational practice must change to enable AI transformation.

5
Part II

Building the UK’s AI Workforce

The talent, skills, and inclusive participation needed from primary education to executive leadership to workforce transition.

6
Part II

Governing the UK’s AI Risks and Ethics

Risk, ethics, and social sustainability as foundational principles rather than compliance checkboxes.

7
Part III

Where to Focus the UK’s Global Role in AI

Competing international models and the case for a distinctive UK synthesis across AI assurance, public systems, transparency, data trusts, and infrastructure sovereignty.

8
Part III

How to Deliver the UK’s AI Strategy

A phased five-year roadmap across five delivery strands — and why the UK must start before conditions are perfect.

Who Is This Book For?

Policymakers and Government Leaders

An evidence base for procurement reform, governance design, and regulatory choices that will define the UK’s AI trajectory.

Organisational Leaders

Practical frameworks for moving beyond pilots, building AI workforce capability, and navigating ethical complexity.

Digital and Technology Leaders

Sovereign compute architecture, data governance models, implementation roadmaps, and what distinguishes AI delivery from conventional digital transformation.

Professor Alan W. Brown

Professor Alan W. Brown

Alan W. Brown

Professor of Digital Economy, University of Exeter
Research Director, Digital Policy Alliance

Alan brings more than three decades of experience across technology, government, and academia. A former IBM Distinguished Engineer, he has published six books on digital transformation and AI strategy and advises organisations across the public and private sectors.

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