You've probably seen the headline that spread like wildfire: "95% of AI pilots fail". That staggering number comes from a recent MIT report and it's the kind of figure that commands attention. But is it the whole story?

Today, we're diving deep beyond that viral headline. While some research suggests a similarly sobering truth - that 88% of AI pilots never make it to production- we have to ask: what's really going on? Is the technology failing, or is something else at play? We'll discuss why this 95% figure, based on a limited number of interviews and surveys, might be misleading the entire market. The real gap might not be in the tech itself, but in how organizations are trying to scale it. While companies are quietly rolling back big AI ventures, 90% of employees are already using Large Language Models regularly. The problem isn't that AI doesn't work. The breakdown is organisational.

We'll explore the real reasons AI initiatives stall: from a lack of clear ROI and siloed operations to human resistance and the complex economics of scaling.So, stick with us as we unpack the "AI Adoption Chasm," challenge the narrative, and explore how organizations can finally break free from pilot purgatory.

Are you an executive or leader who believes AI is as simple as "just give it the data and it will deliver value"? Then this episode is a must-listen. Join us as we dive into "The AI Iceberg," revealing the critical complexities and hidden risks that lie beneath the glossy surface of AI promises. Many organizations are making decisions based on a dangerous illusion, ignoring the sprawling ecosystem of engineering, governance, compliance, ethics, and continuous tuning required for successful AI.In this eye-opening discussion, you'll learn:• The stark difference between the AI you're sold and the reality of its implementation. We'll break down the full lifecycle, from Data Sourcing to Retraining, and show how each step is a potential single point of failure.• The Three Critical Blind Spots leaders often miss: Why data is never "just there" and is a governance and brand risk question; why ethics and bias are structural liabilities, not just PR issues; and how choosing the wrong AI mode (automation, augmentation, or autonomous agent) can lead to catastrophic outcomes.• Why ignoring these "below the waterline" factors risks not just project failure, but also reputational damage, significant regulatory exposure, and strategic drift. Left unchecked, AI can scale inequity faster than it scales efficiency, costing you market access and customer confidence.• The crucial role of independent advice and why relying solely on vendor pitches can lead to buying "black-box risk" instead of truly transformative AI.• The four vital questions every leader must ask before signing the next AI contract to ensure your approach is validated and defensible.Don't let your organization become another wreck in an industry littered with companies that trusted a vendor pitch without probing deeper. True AI transformation requires evaluating and investing below the waterline, not just what's visible. Tune in to equip yourself with the insights needed to navigate the complexities of AI, mitigate risks, and unlock its true, resilient potential. Your strategic future depends on it.