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95% of AI Deployments Fail — Here’s the Real Reason Why
In this episode of Unmasked, Melody Mejeh dives into the shocking new MIT study showing that 95% of enterprise AI deployments deliver zero measurable return—despite billions invested. From flawed integration to the “learning gap” between leadership and employees, we uncover the hidden reasons most AI projects fail before they even get off the ground.
But this isn’t just a critique—it’s a roadmap. Melody explores what separates the 5% of companies that succeed, why staff training is the overlooked multiplier, and how to actually measure real ROI in AI projects. Plus, she brings it close to home with a real-world example: U.S. Bank’s rollout of Microsoft Copilot in Teams, and the dangers of deploying AI without workflow integration or employee training.
What You’ll Learn in This Episode
* Why AI isn’t failing—workflows are.
* The “learning gap” MIT identified that keeps pilots stuck in purgatory.
* Why U.S. Bank’s Copilot rollout shows how not to deploy AI.
* The three ways to measure real ROI: time saved, money gained, quality improved.
* What the 5% of successful companies do differently (hint: it’s not about the tool, it’s about the people).
* Why AI isn’t a silver bullet—it’s a hammer. And without carpentry skills, the house falls apart.
Key Stats Mentioned
* 95% of AI pilots show zero return (MIT NANDA Report, 2025).
* Only 5% of companies see measurable P&L impact.
* Early adopters who trained staff saw 41% average ROI (Snowflake).
* Companies that trained employees saw productivity double (Google Cloud).
* McKinsey projects AI could add $6–$8 trillion annually to the global economy—if companies get adoption right.
Resources & References
* MIT study on generative AI adoption
* Tom’s Hardware: Why AI fails in enterprise
* McKinsey: The economic potential of generative AI
* Snowflake: Early adopters ROI report
* Google Cloud: ROI from generative AI
If you enjoyed this episode, share it with a colleague or leader in your network who’s feeling the AI hype but struggling with the ROI. And ask yourself: In your company, how are you measuring real return?
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit melodymejeh.substack.com
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By Melody MejehIn this episode of Unmasked, Melody Mejeh dives into the shocking new MIT study showing that 95% of enterprise AI deployments deliver zero measurable return—despite billions invested. From flawed integration to the “learning gap” between leadership and employees, we uncover the hidden reasons most AI projects fail before they even get off the ground.
But this isn’t just a critique—it’s a roadmap. Melody explores what separates the 5% of companies that succeed, why staff training is the overlooked multiplier, and how to actually measure real ROI in AI projects. Plus, she brings it close to home with a real-world example: U.S. Bank’s rollout of Microsoft Copilot in Teams, and the dangers of deploying AI without workflow integration or employee training.
What You’ll Learn in This Episode
* Why AI isn’t failing—workflows are.
* The “learning gap” MIT identified that keeps pilots stuck in purgatory.
* Why U.S. Bank’s Copilot rollout shows how not to deploy AI.
* The three ways to measure real ROI: time saved, money gained, quality improved.
* What the 5% of successful companies do differently (hint: it’s not about the tool, it’s about the people).
* Why AI isn’t a silver bullet—it’s a hammer. And without carpentry skills, the house falls apart.
Key Stats Mentioned
* 95% of AI pilots show zero return (MIT NANDA Report, 2025).
* Only 5% of companies see measurable P&L impact.
* Early adopters who trained staff saw 41% average ROI (Snowflake).
* Companies that trained employees saw productivity double (Google Cloud).
* McKinsey projects AI could add $6–$8 trillion annually to the global economy—if companies get adoption right.
Resources & References
* MIT study on generative AI adoption
* Tom’s Hardware: Why AI fails in enterprise
* McKinsey: The economic potential of generative AI
* Snowflake: Early adopters ROI report
* Google Cloud: ROI from generative AI
If you enjoyed this episode, share it with a colleague or leader in your network who’s feeling the AI hype but struggling with the ROI. And ask yourself: In your company, how are you measuring real return?
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit melodymejeh.substack.com