Automation loves specificity.
If a task is easy to explain, it's easy to teach to a robot.
So, if we want to avoid competing with superhuman machines, we need to run in the opposite direction.
The more abstract the value being provided, the more resistant it is to replacement (and therefore the less likely we are to be taken out of the game).
And as a general rule, technology automates the mundane, bringing us incrementally closer the heart of any given problem.
The trick is to project this process into the future.
Already, robots are learning to suture. But it seems less likely that they'll be able to comfort a nervous pre-op patient.
AI models are becoming more reliable, but they don't seem to have reputations in the same way you and I do.
For as long as there are any differences between us an machines, we can double down on them to carve out opportunities.
And by banking on this, we give ourselves a shot at reaping the real rewards.