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In a nutshell

  • Workers exposed to AI reported better physical health and higher satisfaction with their well-being, without increased anxiety, depression, or job insecurity.
  • The study found no evidence that AI harms workers’ mental health or job satisfaction, and even showed a small reduction in working hours without impacting wages.
  • Germany’s gradual AI adoption and strong labor protections may have helped ensure that AI complemented human jobs instead of replacing them.

PITTSBURGH — Today’s headlines are riddled with warnings about AI stealing jobs and making workers miserable. But international researchers who actually followed real people for 20 years found the opposite. Workers in AI-heavy jobs reported better health, unchanged job satisfaction, and no increase in anxiety about their futures. The robots, it turns out, might be helping more than hurting.

Research published in Scientific Reports tracked nearly 18,500 workers from 2000 to 2020, comparing those in AI-heavy jobs with workers in traditional roles. People working alongside AI reported better physical health and greater satisfaction with their well-being, while showing no increase in anxiety, depression, or job insecurity.

Americans are increasingly worried about AI’s impact on their livelihoods, from ChatGPT writing emails to robots manning factory floors. This research suggests our fears might be overblown. Instead of replacing human workers or making them miserable, AI appears to be making physically demanding jobs easier and potentially safer.

For example, instead of a warehouse worker lifting heavy boxes all day, AI-powered machinery handles the heavy lifting while the human focuses on oversight and decision-making. Rather than a nurse spending hours on paperwork, AI tools streamline administrative tasks, leaving more time for patient care.

Robot hands typing on computer to depict artificial intelligence or generative AI
AI could help with tedious administrative tasks to free up time for employees. (feeling lucky/Shutterstock)

The study followed workers through Germany’s gradual adoption of AI technology, which accelerated significantly after 2010. Researchers used an objective analysis that identified which jobs were most susceptible to AI automation, and self-reported data from workers about their actual use of AI technologies.

Unlike smaller studies that capture just a moment in time, this analysis tracked the same people over two decades, watching how their health and job satisfaction changed as AI became more common in their workplaces. Researchers controlled for factors that could skew results, including age, education, industry, and regional differences.

Germany proved an ideal testing ground because of the country’s strong labor protections, extensive unionization, and comprehensive employment legislation. These create conditions where technological change tends to complement rather than replace workers. AI adoption among German firms grew significantly from virtually zero before 2010 to substantial levels by the 2020s.

Workers reported their life satisfaction, job satisfaction, and various health metrics on standardized scales. Researchers also tracked concerns about job security and personal economic situations. Results consistently showed either neutral or positive effects across nearly all measures.

Workers in AI-exposed occupations reported better overall health status and greater satisfaction with their health. Researchers believe this stems from AI’s ability to reduce physically demanding and hazardous tasks—the kind of repetitive, back-breaking work that damages bodies over time.

Additionally, workers in AI-heavy jobs saw a modest reduction in working hours, about 30 minutes per week on average, without any negative impact on wages or employment rates. This suggests AI might be creating more humane working conditions rather than eliminating jobs entirely.

Human hand touching a wireframed AI robot hand
As long as AI is thoughtfully implemented into jobs, it should be helpful instead of harmful. (sdecoret/Shutterstock)

Workers in eastern Germany, where economic conditions have historically been more challenging, showed increased anxiety related to AI exposure. This regional difference highlights how institutional protections and economic stability influence workers’ experiences of technological change.

Germany’s strong labor protections and gradual AI adoption might not reflect what happens in countries with weaker worker safeguards. The study also focused on workers who entered the job market before 2010, meaning it doesn’t capture how younger workers might fare differently.

We’re also still in the early stages of the AI revolution. Technologies examined in this study represent the first wave of workplace AI adoption. More sophisticated systems, particularly recent generative AI tools like ChatGPT, might have different effects that haven’t yet been measured.

AI’s employment impact might be more nuanced than the “jobs versus robots” narrative dominating headlines. Rather than wholesale job replacement, AI appears to be reshaping work in ways that could reduce physical strain and workplace hazards while maintaining employment levels.

Twenty years of real-world data beats a thousand think pieces about AI’s impact on work. German workers showed us that with the right protections and thoughtful implementation, artificial intelligence can make jobs less physically punishing while keeping paychecks steady. Now the challenge is making sure that positive experience isn’t exclusive to Germany.

Paper Summary

Methodology

Researchers analyzed data from the German Socio-Economic Panel, a large-scale longitudinal survey that has tracked households and individuals since 1984. They focused on approximately 18,500 workers surveyed between 2000 and 2020, restricting their analysis to people who entered the labor market before 2010 (before widespread AI adoption) to avoid bias from people choosing AI-related careers. The team used two measures of AI exposure: the Webb measure, which objectively assesses how susceptible different occupations are to AI automation based on task analysis, and a self-reported measure from 2020 survey data about actual AI use in workplaces. They employed event study analysis and difference-in-differences statistical methods to compare outcomes between high-AI-exposure and low-AI-exposure workers before and after 2010, when AI adoption accelerated in Germany.

Results

The study found no significant negative effects of AI exposure on worker well-being, mental health, or job security concerns. Instead, workers in AI-exposed occupations showed improvements in self-reported health status and health satisfaction, along with a modest reduction in working hours (about 30 minutes per week). There were no significant changes in life satisfaction, job satisfaction, employment rates, or wages. The positive health effects appeared linked to reduced physical job intensity, as AI helped automate physically demanding and hazardous tasks. However, the study revealed regional differences, with eastern German workers showing increased anxiety related to AI exposure, while western German workers experienced reduced anxiety.

Limitations

The study has several important limitations. The sample was restricted to workers who entered the labor market before 2010, so findings may not apply to younger workers. Germany’s strong labor protections, extensive unionization, and gradual AI adoption create conditions that may not exist in other countries with more flexible labor markets. The research covers the early stages of AI adoption and may not capture effects of more recent, sophisticated AI technologies like large language models. The study relied partly on self-reported measures, which can be subject to bias, and used some single-item measures for complex concepts like well-being and health that may lack nuance compared to multi-item scales.

Funding and Disclosures

This research was funded by Horizon Europe through grant 101189847 titled “Robotics and AI for Sewer Pipe Inspection and Maintenance.” The authors declared no competing interests. Data and computer code used in the analysis are publicly available.

Publication Information

The study “Artificial intelligence and the wellbeing of workers” was published in Scientific Reports, volume 15, article number 20087, in 2025. The research was conducted by Osea Giuntella from the University of Pittsburgh and NBER, Johannes Konig from the German Ministry of Finance, and Luca Stella from the University of Milan and Berlin School of Economics. DOI: 10.1038/s41598-025-98241-3.

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