Episode #19 - Why 95% of AI Investments Fail — And How to Be the 5%

Episode #19 - Why 95% of AI Investments Fail — And How to Be the 5%

Episode 19: Why 95% of AI Investments Fail — And How to Be the 5%

Global AI investment is racing toward $632 billion by 2028. Boards are demanding strategies. Budgets are being approved. And yet — an MIT study highlighted in Chapter 7 of The AI Strategy Blueprint reveals that 95% of those investments have produced zero measurable returns. Not a typo. Ninety-five percent.

In this episode, host Lara Wilson breaks down the uncomfortable truth behind that staggering failure rate. It's not the technology. AI is profoundly capable. The problem is how organizations approach the investment — buying the roof before they pour the foundation, launching complex automation workflows without first building workforce literacy, and then watching those projects silently implode.

Drawing on frameworks from author John Hanby's The AI Strategy Blueprint, Lara unpacks the full Total Cost of Ownership that most executives never see coming. Development alone eats 40–60% of your budget before the AI does anything useful. Infrastructure adds another 20–30%. And then come the silent killers: compounding operating expenses and hidden people costs that slowly bleed your budget dry — often buried in IT payroll where no CFO ever looks.

Need a reality check? Lara walks through a Forrester Research case study of a 25,000-person organization that deployed Microsoft Copilot. Total cost over three years: $20.6 million. ROI: a marginal 124%. Training alone exceeded $9 million. This is what happens when you skip the foundation.

The fix is simpler than you think — but it requires discipline. John Hanby is emphatic: the investment sequence matters. Start with company-wide education. Deploy a local, secure AI environment with no token surprises, no compliance nightmares, and no runaway cloud bills. Let your people build literacy first. Then, when you're ready to scale, your workforce won't stare at a blinking cursor — they'll know exactly what to do.

The question isn't whether AI will transform your industry. It will. The question is: will you be the organization that budgets smart and lands in the 5% — or the one that spends twenty million dollars to find out what not to do? Learn more at https://iternal.ai/ai-strategy-blueprint

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Episoder(51)

Episode #51 - Your Seven Commitments — Leading the Greatest Technology Transformation

Episode #51 - Your Seven Commitments — Leading the Greatest Technology Transformation

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Episode #50 - Principles That Endure and The Widening Gap

Episode #50 - Principles That Endure and The Widening Gap

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Episode #49 - The Transformation We've Mapped — Your Complete AI Strategy Recap

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Episode #48 - The Continuous Improvement Loop — Feedback to Refinement

Episode #48 - The Continuous Improvement Loop — Feedback to Refinement

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Episode #47 - Testing LLMs, Agents, and RAG Systems

Episode #47 - Testing LLMs, Agents, and RAG Systems

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Episode #46 - Why AI Testing Is Fundamentally Different from Software Testing

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Episode #45 - Why AI Hallucinations Are a Data Problem, Not a Model Problem

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Episode #44 - Air-Gapped AI, Data Sovereignty, and Compliance Frameworks

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