At Edison Group, we are committed to delivering independent, high-quality content to a global investor audience supported by innovation and trust. As part of that commitment, we embrace the responsible use of artificial intelligence (AI) to enhance the depth, efficiency and relevance of our work, without ever compromising confidentiality, compliance or the integrity of our insights.

How we use AI

We apply state-of-the-art AI tools to assist with:

• Content enhancement: supporting our analysts, content creators and editors in crafting clearer narratives, streamlining document structures and improving efficiency.
• Data analysis support: accelerating workflows through summarisation, language generation, and basic data interpretation.
• Data analytics: driving insight and knowledge to improve our understanding of our audience, investor trends and behaviours.
• Marketing and communication: creating marketing content (including videos), improving SEO strategy and tailoring messaging to reach investors more effectively.

AI is a tool, not a replacement. Every research note, thematic and insight we publish is still authored and reviewed by human experts, ensuring our standards of accuracy, judgement and clarity remain high.

Security and ethical boundaries

We do not input, share or expose any inside, confidential or non-public information to AI models. Our use of large language models is strictly governed by confidentiality safeguards and robust compliance controls. Any research that could involve material non-public information is handled entirely outside of AI workflows.

We work only with trusted AI platforms that meet enterprise-level security and privacy standards.

Our commitment

Our AI strategy is designed to:

• Augment human intelligence, not replace it.
• Protect the confidentiality of our clients and their information.
• Deliver better outcomes for the investors who rely on our insights.

By harnessing AI responsibly, Edison Group continues to evolve with the market, providing sharper, faster and more actionable research, without ever losing sight of what matters most: independence, quality and trust.