Over the last six months, I have had the privilege of sitting down - virtually and in person - with leaders from across UK industries: energy, utilities, construction, law, manufacturing, media, education, and beyond. Not to sell anything. Not to run a workshop. Just to have an honest conversation about where they are with AI adoption and implementation.
What I heard was revealing. Not because everyone was doing extraordinary things with AI (some were, some weren't), but because the honesty in those conversations cut through the noise that dominates most AI discourse
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Across every industry represented at our Innovation Breakfast - from scientific research and national agencies to engineering, public sector leadership and advanced tech, one topic kept resurfacing: Trust. Not in AI itself, but in the data that feeds it.
While many organisations are experimenting with automation, private models and AI-powered workflows, very few feel confident that their data foundations are ready for real, operational change. And this isn’t a technical problem. It’s cultural, structural, and deeply human.
Here’s how the room unpacked it.
One of the strongest
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