In terms of barriers to entry for entry-level work or certain types of work, there was an experiment in the U.S. I can't remember the fast food outlet—and I'm cognizant that I keep mentioning fast food; I might be hungry—but they said, “Actually, applying to work with us is going to become a lottery. If you meet this threshold, we believe we can train you. We don't need to go through all these other extra elements.” I think that is actually a reflection of a learning of some of these entry points.
However, let's go back to the datafication of work, using computer programs to push workers in particular ways. I don't think that Amazon delivery drivers are urinating in bottles or defecating in the back of their truck for fun. They are doing that because they are under pressure, severe pressure, to make a certain number of deliveries in a certain amount of time. We've seen Amazon invent glasses that they can wear—that they might be mandated to wear—that can shave seconds off each delivery by telling them in their lens exactly where to go.
Now, you could argue that that's good business, that that's efficiency and that that's productivity, and you could also look at the stress and the health effects of that work.