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Discussion Paper
Are Businesses Scaling Back Hiring Due to AI?
The swift advancement of artificial intelligence (AI) has sparked significant concern that this new technology will replace jobs and stifle hiring. To explore the effects of AI on employment, our August regional business surveys asked firms about their adoption of AI and if they had made any corresponding adjustments to their workforces. Businesses reported a notable increase in AI use over the past year, yet very few firms reported AI-induced layoffs. Indeed, for those already employed, our results indicate AI is more likely to result in retraining than job loss, similar to our findings from ...
Discussion Paper
A Danger to Self and Others: Consequences of Involuntary Hospitalization
Every state in the country has a law permitting involuntary hospitalization if a person presents a danger to themselves or others as a result of mental illness. If a person reaches this high bar, the logic goes, they should be confined in a psychiatric hospital for treatment until they are stabilized. (The process is also sometimes called involuntary commitment, involuntary psychiatric hold, or sectioning.) Although there is no definitive national accounting, it is estimated that about 1.2 million involuntary psychiatric hospitalizations occur every year (Lee and Cohen 2021). This puts the ...
Discussion Paper
Remote Work Leaves Younger Workers Sidelined
Youth unemployment has risen dramatically since the pandemic—as has the prevalence of remote work. Our analysis suggests that these trends are related, with remote work making it more difficult for managers to train and mentor new employees. Accordingly, companies may be reluctant to hire less-experienced workers in distributed work arrangements. We estimate that remote work can explain 64 percent of the recent increase in unemployment among young college graduates. Further, the timing of this surge suggests that remote work—not generative AI—explains the bulk of the rise in youth ...
Discussion Paper
Is Work-from-Home Working?
Though some offices have re-opened as the pandemic has receded, many workers have continued to work from home. Recent survey data suggest that workers would like more remote-work days than firms want to supply—a pattern that was evident even before the pandemic. Why have firms been so reluctant to offer remote work? And what will the recent seismic shift in remote work mean for the economy?
Discussion Paper
Racial Discrimination in Child Protective Services
Childhood experiences have an enormous impact on children’s long-term societal contributions. Experiencing childhood maltreatment is associated with compromised physical and mental health, decreased educational attainment and future earnings, and increased criminal activity. Child protective services is the government’s way of endeavoring to protect children. Foster care consequently has large potential effects on a child’s future education, earnings, and criminal activity. In this post, we draw on a recent study to document disparities in the likelihood that children of different races ...
Discussion Paper
The Power of Proximity: How Working beside Colleagues Affects Training and Productivity
Firms remain divided about the value of the office for “office” workers. Some firms think that their employees are more productive when working from home. Others believe that the office is a key place for investing in workers’ skills. In this post, which is based on a recent working paper, we examine whether both sides could be right: Could working in the office facilitate investments in workers’ skills for tomorrow that diminish productivity today?
Discussion Paper
Racial and Ethnic Wealth Inequality in the Post-Pandemic Era
Wealth is unevenly distributed across racial and ethnic groups in the United States. In this first post in a two-part series on wealth inequality, we use the Distributional Financial Accounts (DFA) to document these disparities between Black, Hispanic, and white households from the first quarter of 2019 to the third quarter of 2023 for wealth and a variety of asset and liability categories. We find that these disparities have been exacerbated since the pandemic, likely due to rapid growth in the financial assets more often held by white individuals.
Discussion Paper
Wealth Inequality by Age in the Post‑Pandemic Era
Following our post on racial and ethnic wealth gaps, here we turn to the distribution of wealth across age groups, focusing on how the picture has changed since the beginning of the pandemic. As of 2019, individuals under 40 years old held just 4.9 percent of total U.S. wealth despite comprising 37 percent of the adult population. Conversely, individuals over age 54 made up a similar share of the population and held 71.6 percent of total wealth. Since 2019, we find a slight narrowing of these wealth disparities across age groups, likely driven by expanded ownership of financial assets among ...
Discussion Paper
Racial and Ethnic Inequalities in Household Wealth Persist
Disparities in wealth are pronounced across racial and ethnic groups in the United States. As part of an ongoing series on inequality and equitable growth, we have been documenting the evolution of these gaps between Black, Hispanic, and white households, in this case from the first quarter of 2019 to the fourth quarter of 2023 for a variety of assets and liabilities for a pandemic-era picture. We find that real wealth grew and that the pace of growth for Black, Hispanic, and white households was very similar across this timeframe—yet gaps across groups persist.
Discussion Paper
AI and the Labor Market: Will Firms Hire, Fire, or Retrain?
The rapid rise in Artificial Intelligence (AI) has the potential to dramatically change the labor market, and indeed possibly even the nature of work itself. However, how firms are adjusting their workforces to accommodate this emerging technology is not yet clear. Our August regional business surveys asked manufacturing and service firms special topical questions about their use of AI, and how it is changing their workforces. Most firms that report expected AI use in the next six months plan to retrain their workforces, with far fewer reporting adjustments to planned headcounts.