The Enterprise AI Reality Check: Why the Future Is Taking Longer Than Expected
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The Enterprise AI Reality Check: Why the Future Is Taking Longer Than Expected
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Microsoft just revised its AI growth targets by 50%. The Carlyle Group cut their Copilot spending. Gartner predicted 30% of AI projects would fail. The actual rate? 70 to 85%.
In this bonus episode, I confront the question some of you have been asking: was I wrong about the post-project world?
The short answer is no. The longer answer is more interesting.
I break down what actually happened with Microsoft, why enterprise AI is harder than consumer AI, and what the current LLM landscape looks like for practitioners trying to get real work done. Claude, ChatGPT, Gemini, Copilot. Which one works for what. And why the gap between using AI and getting value from AI is exactly where human professionals need to be.
The post-project world is still coming. We are just in the messy middle.
This episode connects the theoretical future we explored in Parts One through Four with the reality of December 2025.
Find me at sites.rondanini.net or on LinkedIn.
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