🚩 Is your AI strategy moving too fast for your team? #enterpriseAI paradox

7 May 2026 · 1 min

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In this segment, the speaker critiques the traditional capital expenditure (CapEx) mindset, which focuses on optimizing machines, throughput, and personnel while assuming the human element will keep pace. He argues that this assumption fails in the AI era, where compute can be scaled rapidly but human judgment, trust, and moral clarity cannot. To address this mismatch, he introduces APEX—a reinterpreted version of CapEx that serves as a framework urging leaders to deliberately slow internal AI adoption. The goal of APEX is to give organizations time to metabolize AI’s impact, avoiding the “enterprise paradox” where rapid AI deployment outpaces the organization’s capacity to integrate it responsibly.

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Now, traditional CapEx thinking was designed for a world where you could optimize the outer system, you know, the machines, throughput efficiency, number of personnel, etc. And you'd assume that the human system would just keep up. But in this moment, that's the assumption that's breaking. You can scale compute, we say overnight, but not necessarily overnight. You can scale it quickly. But you can't scale judgment, trust, or moral clarity at the same speed. So APEX, and this is using the same acronym but capitalized differently as the portmanteau that is capital expenditure, CapEx. CapEx emerged for us as a way to help leaders slow down internally, not as an excess of caution, if I can just clarify that, but, but to be coherent, you know, so the organization can actually metabolize what AI is introducing rather than being sort of dragged along by it. That's interesting. You kind of described that as the enterprise paradox.