Why most AI programs stall, and what it will take to scale them

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They say a lot can happen in a week in politics. So imagine how much can change in a year within the world of AI! Even 12 months ago, Gen AI still wasn’t mainstream worldwide. But by the end of 2025, roughly one in six people worldwide were using AI tools.

Last year proved a particular leap forward for enterprise AI, with countless firms proving they could build AI initiatives. Most have now built a portfolio of pilots, proof of concepts, and internal demos that look impressive.

Yet as budgets tighten, boards and executives are questioning why so many systems aren’t being adopted for everyday business use. Many CEOs still struggle to point to clear revenue gains or cost reductions from AI investments, despite huge spending on the technology.

This is not because AI has stalled, though: models are stronger, cheaper, and easier to deploy than ever. The problem sits...

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