April 2026 AI Insights

Over the past month, one question has come up in almost every leadership conversation: are we ahead or behind on AI?

It’s an understandable instinct, but it’s the wrong question. 

The real divide isn’t between sectors, budgets or even intent. It’s between organisations turning AI into tangible outcomes, and those still stuck in cycles of experimentation.   

A recent MIT study found that 95% of enterprise AI pilots fail to deliver measurable returns. In the same window, AI-native companies and startups are scaling faster than any cohort in technology history. Same technology, very different results.  

The constraint has shifted. It’s no longer about what AI can do – it’s about how organisations apply it, how quickly they adapt and whether they’re willing to rethink how work actually happens.  

Many businesses are rolling out tools and seeing early productivity gains; but without changing how teams operate, those gains rarely translate into lasting impact.  

Therefore, the question isn’t whether you’re ahead or behind.  

It’s whether your organisation is evolving fast enough to keep pace with what’s now possible.  

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