Why AI Projects Fail—and How Leaders Turn Strategy into Results with Sarah Cornett

Why AI Projects Fail—and How Leaders Turn Strategy into Results

In this episode of AI with Bry, I sit down with Sarah Cornett — founder & CEO of Global AI Advisors — to unpack why 80–90% of AI projects fail, and how leaders can flip the script by turning AI strategy into measurable business results.

🧭 Why AI projects fail without clear strategy & prioritized use cases

🧑‍🤝‍🧑 How leaders can close the people gap and lead AI adoption with confidence

🧱 Why data governance + AI governance are essential foundations

🎓 The power of customized AI training over generic “prompt engineering” courses

🚀 The three futures of work with AI: replaced tasks, augmented roles, and entirely new jobs

We dive into:

✅ The #1 mistake leaders make in AI adoption — chasing shiny tools instead of solving real problems

✅ How to build an AI roadmap: objectives → use cases → value × feasibility

✅ Why leadership, culture, and governance are more critical than the tech itself

✅ Best practices for educating teams and reducing fear around AI adoption

✅ New roles being created in the AI era (AI strategists, ethicists, prompt engineers)

Whether you’re in banking, healthcare, or any industry wrestling with digital transformation, this episode shows how AI delivers results when guided by strong leadership and strategy.

🎧 Watch or listen to the full episode at: ai.bry.net or bry.net/ai

📩 DM me — how are you leading AI projects in your business? I’d love to hear.

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