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While many sectors have steadily regained employment following the COVID-19 recession, the childcare service workforce continues to face a significant shortfall. In this article, we use data from the North Carolina Common Follow-up System (CFS) to show the shortfall in childcare service employment can be primarily attributed to increased worker outflows among younger childcare workers to other higher-paying industries or out of the workforce altogether.
Which industries in North Carolina are most exposed to automation related employment disruptions? What does industry automation exposure mean for workers, workforce and economic development leaders, policymakers, and businesses? This piece examines these questions by applying automation exposure data at the industry level.
Previous research has predicted that technological progress will cause widespread unemployment by replacing human laborers with machines, while other more recent analyses stress that automation may lead to disruptions for some occupations but finds widespread destruction of jobs unlikely. This analysis examines automation’s potential risk to North Carolina’s labor market, finding that automation will disrupt employment in some occupations but machines are unlikely to replace large segments of human labor.