The Moment AI Enters a Project, It Stops Being an Experiment

There’s a subtle shift that happens when AI enters a project.

At first, it’s a tool. Helpful. Optional. Easy to experiment with.

Then it starts influencing deliverables, timelines, and decisions. At that point, AI is no longer just “something someone tried.” It’s part of how work gets done.

This is where things often get uncomfortable.

Different teams treat AI differently. Ownership becomes unclear. Security questions surface late. Leaders hesitate, not because AI doesn’t work, but because they can’t clearly explain how it’s being used.

The visual I shared this week shows why AI in projects changes the conversation, and why shared guidance becomes important much earlier than most teams expect.

More to come...

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