As Kent and I highlighted two weeks ago, conventional recession indicators suggest a healthy economy, though recent trends in the labor market for college graduates paint a different picture. We pointed to some appalling anecdotes and statistics, including the case of the Computer Science major who submitted 5,762 job applications, only to hear back from none.

This reality begs the question of whether job creation in the age of AI will ever speed up as individuals, companies, governments, and educational institutions adapt. If so, when?

In a podcast interview, LinkedIn’s Chief Economist, Karen Kimbrough, expresses optimism for the future of work in the age of AI. She acknowledges the unusually slow hiring rate for recent grads, but nonetheless offers the reassuring take that current trends are cyclical and that AI-embracing grads will fare the best in the labor market.

If there really is a rainbow after the storm and her forecasts come to fruition, when will we start seeing the evidence of it? What actions must be taken by companies, governments, and job seekers themselves to ensure a future where AI development works in favor of job seekers rather than against them? What does it mean for job seekers to “embrace AI?” What incentives underpin whether or not we, as a society, will work to ensure that AI does not leave today’s college grads behind?