From Training to Economic Mobility: What Works in Workforce Development

Using Per Scholas as a case study, the conversation makes the case that success should not be measured by how many people complete a program, but by whether they get hired, increase their earnings, and continue advancing over time. That requires training to stay connected to real employer demand, and it requires government and funders to invest in programs that can show results and adapt as the economy changes.

As the conversation turns to artificial intelligence, the same principle holds. Workforce systems have to keep evolving, but the goal remains the same: helping people build durable skills, move into good jobs, and create a stronger path to economic mobility.

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