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Tagged with: #regulation

Posts tagged with #regulation show how to build regulatory considerations into your technology strategy without sacrificing agility or innovation potential.

AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas

London | Published in AI and Board | 15 minute read |    
Business executives in suits stand on a glass platform at a crossroads, overlooking three diverging roads leading to a classical European city in soft blue light, a futuristic American skyline with glowing data streams, and a Chinese metropolis with red-toned interconnected bridges, symbolising transparency, innovation, and integration. (Image generated by ChatGPT 5)

AI governance is fragmenting into incompatible systems — Europe prioritising trust through transparency, America pursuing speed through scale, China maintaining control through integration — forcing Boards to choose rather than compromise. In this article, I explore the sovereignty trilemma and present three strategic stances for navigating these landscapes without fracturing your strategy.

Why Boards Need to Watch the EU's General-Purpose AI Code of Practice

London | Published in AI and Board | 15 minute read |    
Abstract visualisation of regulatory divergence between EU and US AI approaches, showing two paths splitting from a central board decision point. (AI-generated)

The EU’s General-Purpose AI (GPAI) Code of Practice, effective August 2025, signals a new era of regulatory divergence. While the EU sets transparency and systemic risk guardrails, the U.S. accelerates through deregulation. For Boards, the challenge isn’t choosing sides but mastering dual-track governance — turning regulatory complexity into strategic advantage.

Beyond Regulatory Uncertainty: Thoughts on the UK's AI Sovereignty Challenge

Washington DC | Published in AI and Board | 11 minute read |    
Nighttime satellite view of Earth from space showing the global distribution of electrical power and AI infrastructure: bright clusters of light illuminate major cities across the United States and China, representing massive data centres and energy abundance, while the United Kingdom appears notably dim with sparse illumination, symbolising the country's energy constraints and potential exclusion from the AI-driven economy as other nations surge ahead with trillion-dollar computing clusters powered by vast electrical grids (Image generated by ChatGPT 4o).

Last week in Washington DC, I hosted a dinner where Professor Ajay Agrawal presented data showing that individual AI training clusters will soon require more electricity than entire nations currently generate. Whilst the UK government announces plans to become an AI-first economy, the mathematics are stark: UK businesses face energy costs four times higher than US competitors, creating dangerous dependencies on foreign AI infrastructure.

Implementing Decision Analytics: A Practical Guide for Boards

London | Published in AI , Board and Emerging | 11 minute read |    
A diverse business team collaboratively building an AI decision analytics engine in a modern boardroom, with digital data displays and construction tools on a sleek conference table. (Image generated by ChatGPT-4o).

In my previous article, Transforming the Board: Using Decision Analytics for Strategic Advantage, I introduced the concept of AI-powered decision analytics as a transformative approach to board decision-making. I explored how these capabilities can help directors move beyond traditional backward-looking metrics to embrace predictive indicators that model potential futures and enhance strategic decision-making.

Navigating the AI Regulatory Maze: A Boardroom Survival Guide

Llantwit Major | Published in AI and Board | 14 minute read |    
Illustration of a maze split into two halves: one side representing traditional regulatory complexity with stone walls and paperwork, and the other depicting modern AI innovation with futuristic digital pathways. Board members strategically stand in the centre, navigating between regulation and AI. (Image generated by ChatGPT 4o)

The EU AI Act, which came into force on August 1, 2024, establishes significant penalties for non-compliance, including fines of up to €35 million or 7% of global annual turnover for serious violations. As regulatory frameworks for artificial intelligence rapidly evolve worldwide, Boards face a new imperative: navigating complex compliance requirements while maintaining the innovation speed necessary to compete.