Byron Auguste: belief

Transcript context

…Again, ex post, you see who’s done well, but ex ante, what’s better when it works? Think about the data we have right now. Opportunity@Work — we’re trying to create a market change. So we are thinking about talent category creation, where people are skilled through alternative routes — 70 million people STARs — and the fact is, you can see what skills people have most easily by what jobs they do today. One of the things that’s really powerful is that there’s a huge overlap in the skill set required for many low-wage jobs and those for many middle-wage jobs. A second-level call center representative has a lot of the skills required for enterprise sales, for example, but enterprise sales might pay twice as much money. If you think about formal education or training as more like topping up the skills you learn on the job, you have a much more efficient path to source people by the millions into jobs you want. That’s a much more direct path. There are about 50 gateway jobs that are lower-wage jobs where the skills required for them basically match the skills for middle-wage jobs. The 70 million STARs — 30 million of them have skills for a job that pays 50 percent more than the jobs they’re in today. And you’ll say, “Well, why doesn’t the market allow them to move into those jobs?” The answer is, it partly does. We have a database of 130 million job transitions, and that’s exactly how STARs — and for that matter, people with bachelor’s degrees — tend to move into higher-wage jobs. They move into higher-wage jobs with highly overlapping skill sets to the jobs they’re in. We see a much more direct impact than genomics or teaching third graders to code or any number of things you might also think might matter. A much more direct effect is, instead of these movements happening at random, why don’t we put some street lights around them? Why don’t we actually treat these accidental pathways up through the labor market as intentional ones? I think that can be the basis of an American system, if you will, that’s much more related to data, much more driven by work, as opposed to just waiting. I think that would be a far superior — or rather, not as a replacement for higher education because, again, pluralism matters. It’s creating a wide variety of ways that people can succeed. Let’s say we had an AI system that predicted labor outcomes pretty well. Maybe it wasn’t transparent. We didn’t even understand how it worked. That’s quite possible with algorithms. Should we use that a lot? Or is that a problem or an issue?…

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