Kicking off at 9am sharp, last Thursday, we hosted our first Innovation Breakfast of the series at The Forge in Bristol. What began as a short presentation quickly turned into something much more valuable: a genuine cross-industry roundtable where leaders compared challenges, shared insights and explored the real tensions shaping innovation today.
The session followed Chatham House Rules but we can say this: the room brought together an unusually diverse mix of perspectives. From scientific research and semiconductor innovation to advanced engineering, defence, media, public sector policy and cutting-edge tech businesses, we had leaders at the table who rarely get
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One of the most unexpected and thought-provoking discussions at our recent Innovation Breakfast wasn’t about models, tools or roadmaps. It was about people.
And specifically, the skills people need in order to work safely and effectively with AI.
A phrase emerged that captured the problem perfectly: AI intuition.
Not AI literacy. Not prompt engineering. But intuition, the ability for a person to recognise when an AI system is likely to be right, when it’s likely to be wrong, and when it’s confidently wrong.
It quickly became clear across the roundtable that this is one of the biggest gaps organisations
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