A recent research report from the prominent U.S. employment platform Indeed indicates that the central challenge currently facing the American labor market is the contraction of the working-age population due to demographic aging, rather than a wave of unemployment triggered by the development of artificial intelligence (AI).

Indeed's Chief Economist, Svenja Gudell, emphasized in her writing that for the past 250 years, the continuous expansion of the labor force has been a key pillar supporting the U.S. economy's resilience against recessions and its ability to navigate technological transitions. However, this trend of growth is on the verge of ending. The organization's research predicts that, influenced by decades of low fertility rates combined with the accelerating retirement of the "baby boomer" generation, the U.S. labor force could shrink by nearly 6 million people by 2032. This decline is not a cyclical fluctuation but an inevitable outcome of demographic shifts.

The report reveals that the current U.S. labor market suffers from severe structural mismatches. Labor shortages are most acute in traditional sectors with high reliance on human labor and low susceptibility to AI disruption, such as healthcare, construction, and skilled trades. The U.S. Health Resources and Services Administration forecasts that by 2038, the nationwide shortfall of full-time physicians will exceed 140,000. This stands in stark contrast to white-collar industries most susceptible to AI impact, like software development and marketing, where employer hiring demand has already noticeably slowed.

Gudell points out that although a significant number of workers previously flocked to white-collar fields like finance and technology, future demand for skilled trades and healthcare roles will continue to grow. Currently, due to industry certification barriers, the costs of retraining, and traditional career biases, the labor force diverted into white-collar industries cannot quickly fill the vacancies in these critical sectors. This persistent mismatch not only prolongs hiring cycles and increases recruitment costs for businesses but also delays income growth for job seekers, posing an obstacle to sustained U.S. economic growth.

To address this dilemma, the report suggests that employers urgently need to shift their human resource planning strategies. This includes increasing investment in apprenticeships and early-stage training, and leveraging AI technology to identify candidates' transferable skills across industries, thereby breaking down traditional hiring constraints. Simultaneously, workers need to enhance the diversity of their own skills to adapt to the accelerating transformation of industry demands. Gudell believes that, against the backdrop of a slowing labor force growth rate, efficiently allocating human resources and bridging the skills gap has become an urgent task for U.S. economic development.