What OpenAI Says vs What They’re Doing

OpenAI just released its policy vision for the “intelligence age” and at first glance, it sounds promising. But when you look closer, the story starts to fall apart. In this episode of Leading Change in the Wild, I break down OpenAI’s latest policy document and the growing gap between what AI companies say and what they actually do. Because this is not just about policy. It is about trust, accountability, and whether we should believe the narrative being presented to us. From energy subsidies to workforce impact, this document raises more questions than it answers. Here’s what I unpack:

Why OpenAI’s “pay their own way” stance contradicts real-world actions
The role of public funding and who is actually subsidizing AI infrastructure
The disconnect between “people-first” messaging and enterprise partnerships
Why consulting-driven AI adoption often excludes the very people doing the work
The limitations of how AI companies define “human-centered” roles
The lack of real mechanisms for public and worker input
Why this document feels more like a PR move than a true shift in strategy

The takeaway is simple. Saying “people first” is not the same as acting like it. If AI companies want trust, they need to earn it through action, not just policy statements. This is not just a technology conversation. It is a leadership one. Because the future of AI will not be shaped by what companies promise. It will be shaped by what they actually do. 👇 Let’s discuss:

Do you trust AI companies to put people first?
Where do you see the biggest gap between messaging and reality?
What responsibility should companies have before regulation steps in?

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