Society is fragile and operates in tension, a shared delusion like a currency. If workers burn down every autonomous truck on the road, there simply is not enough law enforcement to prevent them from doing so. There are only 1 million US soliders on US soil [1], there are 100 million workers. If they can't solve cargo theft incurring ~$35B/year in losses, how would they solve this? There are millions of trucks on US roads at any one time.

> I don't see either American labor or American government being anywhere near strong enough or capable enough to facilitate a soft landing.

Certainly not yet, but a resolution will present itself. The quality of which is to be determined of course.

(not advocating either way, simply enumerating the risk model; I am privileged that my day job is to get paid to think like a threat actor across various verticals and model accordingly)

[1] https://usafacts.org/answers/how-many-troops-are-in-the-us-m...

> The end of driving as a profession is going to hit the economy hard.

They should just learn to code! /s

> I don't see either American labor or American government being anywhere near strong enough or capable enough to facilitate a soft landing.

More seriously, I agree with this, but the problems are going to extend way beyond just transportation workers.

These are problems we could theoretically find solutions for, but we're headed into it at warp speed with an already absolutely broken political system and massive levels of wealth inequality.

I find it far more likely that the solution to this all ends up being chaos and bloodshed rather than properly managed preventive policy changes.

Yeah, and that would disrupt Uber badly in the area.

In the article it mentions that this is a union of 70,000 independent contractors. I imagine that it would be very bad for Uber if they all decided not to drive simultaneously.

With collective organization, the union has a better chance to coordinate strikes and other collective action, as well as bargain for pay collectively rather than in a one to many relationship.