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AI use at work and psychosocial well-being of employed US adults

Source article: Associations of artificial intelligence use at work with psychological distress, loneliness, and life satisfaction among employed US adults

Objective: To quantify the associations between artificial intelligence use at work and psychosocial well-being among employed adults in the United States. Methods: Nationally representative data come from the Household Trends and Outlook Pulse Survey (United States, March 2026). Artificial intelligence use at work was measured as the number of distinct assisted work tasks. Outcomes included psychological distress, loneliness, and life satisfaction. Regression models adjusted for sociodemographic characteristics…

By the Truvace desk2 min read1 sourcePeer-reviewedTRV-2026-1579· cite & verify
Associations of artificial intelligence use at work with psychological distress, loneliness, and life satisfaction among employed US adults
The effects of insurance generosity on the psychological distress and well-being of a general population : results from a randomized trial of insurance by Wells, Kenneth B., 1948- Manning, Willard G Valdez, Robert Otto Burciaga, 1956- Rand Health Insurance Experiment National Institute of Mental Health (U.S.) United States. Health Care Financing Administration Rand Corporation. Public domain
Trace impact readingContested
P 64The P score combines the specificity and measured human impact of the grounded problem claim with the strength of this Trace’s cited sources.

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G 65The G score combines the specificity and measured human impact of the grounded gain claim with the strength of this Trace’s cited sources.

In brief

A nationally representative US survey from March 2026 examined how much employed adults use AI for work tasks and how that relates to their mental well-being. About half of workers reported using AI on the job, most often for finding information or drafting communications.

The results show a mixed picture: more AI-assisted tasks went with greater life satisfaction and more loneliness, while overall psychological distress was unchanged. Because the data are a single snapshot, it remains unclear whether AI use shapes these outcomes or whether people with certain well-being levels adopt AI differently.

Main points

  1. The data generalized to 152 million employed US adults, and 51.7% used AI at work.
  2. The most common AI task was searching for information or technical help (35.8%), followed by writing communications, documentation, or instructions (31.6%).
  3. Each additional unit of AI use was linked to a 0.11 SD increase in life satisfaction.
  4. Greater AI use was linked to a higher prevalence of loneliness (adjusted prevalence ratio 1.13).
  5. No significant association was found with moderate-to-severe psychological distress.

The gain

Among employed US adults in March 2026, doing more distinct work tasks with AI was associated with higher life satisfaction.

The problem

Among the same employed US adults, greater AI use at work was associated with a higher prevalence of feeling lonely.

The rundown

The study used the Household Trends and Outlook Pulse Survey from March 2026. AI use at work was measured as the number of distinct tasks that AI assisted, rather than simple yes or no adoption.

Outcomes were psychological distress, loneliness, and life satisfaction. Regression models adjusted for sociodemographic characteristics, region of residence, occupation, and telework frequency.

The authors conclude that AI use at work is associated with life satisfaction and loneliness but not overall distress, and they call for longitudinal studies on the impact of increasing workplace AI use.

What this doesn’t fix

The findings are associations from survey data, and the authors state that longitudinal studies are needed to examine the impact of increasing AI use on employee well-being.

Sources

  1. Peer-reviewedPreventive Medicine Reports2026-09-18

The debate