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AI adoption in business: real examples, risks and lessons from UK leaders
AI: The good, the bad, and the ugly
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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The misconception holding enterprise AI back
There is a persistent belief that artificial intelligence is inherently transformative. That once deployed, it will automatically unlock efficiency, accuracy, growth or competitive advantage.
In reality, AI does not create transformation on its own - it amplifies what already exists inside your organisation.
If your systems are coherent, your data reliable and your governance mature, AI accelerates performance. But if your structures are fragmented, your data inconsistent and your oversight unclear, AI scales those weaknesses instead.
This distinction is critical for enterprise decision-makers.
Complexity has outpaced legacy structures
Enterprise environments are already complex. Most organisations operate across layered technology stacks,
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