Make ESG strategic with AI that improves data integrity, speeds compliance, strengthens governance and finance, fuels innovation, and embeds responsible AI and cybersecurity with tools teams can use on day one Key Features Turn ESG from compliance to strategy with AI-enabled data, transparency, and trust Navigate frameworks and governance from boardroom to capital markets with actionable tools Apply ESG+AI across innovation, cities, health, inclusion, and security for measurable impact Book DescriptionOrganizations face mounting pressure to prove progress on climate, equity, and governance while regulations evolve and data sprawl. ESG in the Age of AI shows leaders how to turn ESG into a strategic operating model powered by trustworthy data and responsible technology. You’ll connect key frameworks with AI-enabled collection, verification, and audit readiness to cut reporting burden. From boardrooms and sovereign funds to capital markets, you’ll design governance that embeds responsible AI to align incentives and improve accountability. In finance, you’ll use AI for analytics and ESG-linked instruments to assess risk and allocate capital. For innovation, you’ll pair AI, blockchain, and IoT with purpose and circularity to scale impact without compromising ethics. Beyond the enterprise, apply ESG+AI to food and health, inclusion and youth, universities as engines of applied sustainability, and cities pursuing regenerative futures. You’ll also learn how cybersecurity protects trust against AI-enabled threats and learn to manage complexity practically. Featuring expert-led contributions from global experts across policy, finance, technology, and academia. This book will give you checklists, canvases, and dashboards to move from understanding to implementation.What you will learn Build actionable ESG strategies enhanced by AI Interpret major frameworks and design harmonized compliance Establish board- and policy-level governance for responsible AI Use AI for finance: risk modeling, transparency, and investor trust Drive sustainable innovation with ethics, circularity, and measurement Apply ESG+AI to food systems, health equity, and resilient cities Treat cybersecurity as ESG to protect data, trust, and integrity Lead through institutional complexity with adaptive governance Who this book is forExecutives, product and program leaders, ESG officers, board members, investors, policymakers, and technology leaders who want to connect sustainability, governance, and AI into one operating model. Useful for organizations of any size and sector—corporate, public, nonprofit, and academic. Readers should understand core ESG concepts and how digital technologies shape business; no deep technical expertise required. Curiosity about responsible AI, measurement, and systems thinking will help you get the most from the book.

Table of Contents:
Table of Contents

1. ESG as a Business Imperative
2. ESG Regulations and AI-Enabled Compliance
3. Governance, Sovereign Investment, and Responsible AI
4. Finance, Investment, Capital Markets, and AI Transparency
5. Innovation and Responsible AI as ESG Drivers
6. Food, Health, and Planetary Boundaries
7. Inclusion, Youth and Citizen-driven innovation – how to shape equitable ESG in the Age of AI
8. Transformative Leadership in the Age of AI
9. Universities and Knowledge Hubs as ESG Catalysts
10. Cities, Communities, and AI-Enabled Regenerative Futures
11. Cybersecurity and ESG: Protecting Trust in the Age of AI
12. Governing Complexity: ESG and AI in a World of Fragmented Institutions and Shifting Power