Leadership paradox: How CEOs kill their own AI investments
Leaders fund artificial intelligence (AI) for truth, then reject the truth. You signed the cheque. Millions of pounds were invested in AI platforms. Your team promised better forecasts, optimised operations, and data-driven decisions. The AI delivers precisely what you paid for: insights that conflict with your plans. You override them.
This leadership behaviour paradox explains why 95% of generative AI transformations fail, according to the Massachusetts Institute of Technology (MIT) Media Lab’s National Artificial Intelligence Accelerator (NANDA) initiative research published in August 2025. Based on 150 interviews with business leaders, a survey of 350 employees, and analysis of 300 public AI deployments, the study found that while 5% of AI pilot programmes achieve rapid revenue acceleration, the vast majority stall, delivering little to no measurable impact.
Companies collectively invested between $35 billion and $40 billion in these projects. The problem isn’t the technology. The AI works. The problem sits in the
boardroom, not the server room.
The 5% who succeed do something fundamentally different: they shift from process-centricity to decision-centricity, and they change how they lead before deploying technology.
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Ruan brings over 20 years of experience in supply chain planning and execution, decision intelligence, AI and digital transformation, having worked with global organisations across CPG, automotive, pharma, manufacturing, energy, oil & gas, mining, and high-tech.
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