The more AI feels like a collaborator, the easier it is to forget how much continuity the human is still carrying.

The interaction feels continuous, intelligent, and collaborative, so humans naturally assume shared understanding exists across time.

Often it doesn't.

It reminds me of the story of the man stranded in an airport for years after effectively becoming stateless between nations.

He physically existed in the world, but administratively existed nowhere.

AI systems feel strangely similar at times.

They can interact with the world, discuss it, reference it, and even help shape it — but they do not truly inhabit persistent human state:

  • lived continuity
  • evolving context
  • operational accountability
  • consequence over time

So humans become the bridge between the stateless machine and the state-bound real world.

And that bridge carries hidden costs:

  • restoring context
  • maintaining cohesion
  • validating outputs
  • correcting drift
  • re-establishing intent
  • preserving workflow continuity

The better AI gets, the easier it becomes to forget how much of that continuity is still human-supplied.

I use AI every day and genuinely value what it enables.

But I also think we are underestimating the cognitive and operational tax involved in adapting ourselves to probabilistic systems that present themselves conversationally.

As we continue embedding AI into deterministic workflows, that distinction matters more than people realize.

The real question may not be what AI can do for us, but what prolonged adaptation to these systems quietly changes about us in return.