AI Benefits at Work Unevenly Distributed

WASHINGTON, D.C. — U.S. employees who use AI in their jobs primarily report gains in speed and creativity, with smaller shares saying their work quality has improved and they are able to spend more time on the more interesting parts of their job. These work benefits of AI use are not evenly distributed across the workforce, as regular AI use is much higher among workers already more likely to hold quality jobs, such as those with higher educational attainment and those in managerial roles. Even among AI users, college graduates, younger employees and those earning higher pay are more likely than their counterparts to report realizing some of these AI work benefits.

Increased Speed Is Primary Work Benefit of AI

Majorities of U.S. employees who have used AI in their job say it helps them do their job faster (63%) and find more creative solutions to work tasks (56%). Nearly half say AI allows them to spend more time on the most interesting parts of their job (47%) or helps them produce higher-quality work (46%).

Thirty-one percent of AI users say their AI use has led to their employer asking them to take on more responsibilities. The proportion is slightly higher, 37%, among AI users who say the technology helps them work faster.

These findings are based on employees’ own assessments of how AI is affecting their work and do not establish whether employers would evaluate its effects in the same way.

The results are the first from the second year of the American Job Quality Study (AJQS), a partnership between Jobs for the Future, The Families & Workers Fund and Gallup. The full report from year two of the study will be released in late October 2026.

The 2026 survey was conducted Jan. 26-March 24. Findings about AI’s reported effects on work are based on responses from 7,845 U.S. employees who have used AI in their job at least a few times in the past year. Broader comparisons of AI use and job quality draw on the full employee sample of 15,482 employees.

Regular AI Usage More Common Among College Grads, Managers

Frequent AI use, defined as daily or weekly use, is not yet the norm across the U.S. workforce, though its adoption has increased sharply in the past three years. In the AJQS data collected January-March 2026, 28% of employees reported using AI at least weekly, while 54% said they had not used AI in their role. Differences in use reflect, in part, the nature of people's jobs: Not all roles involve regular access to digital devices or have obvious opportunities for employees to use AI directly.

Roughly half of employees in the professional and business services, financial activities and information/media industries regularly use AI. Meanwhile, healthcare support, manufacturing production and retail sales employees have low levels of usage, with 70% to more than 80% never using AI in their role.

Regular AI use is more common among employees with higher levels of education and those in management positions. College graduates are more than twice as likely as those without a college degree to say they use AI on a daily or weekly basis (40% vs. 17%, respectively). In addition, 37% of managers versus 25% of individual contributors are regular AI users.

Younger workers, who have grown up with the latest technologies, are not among the most frequent users of AI at work (about one in five use it weekly or more). Yet among AI users, employees aged 18 to 24 are the most likely to say AI has led their employer to ask them to take on more responsibility, at 38%, compared with 31% or less in every other age group.

Regular AI users are substantially more likely to have quality jobs, according to the multidimensional quality job criteria used in the study. Overall, 52% of employees who use AI at least weekly have a quality job, compared with 46% who use it infrequently and 32% of workers who never use AI.

Further research is needed to better understand the relationship between job quality and AI usage, because the same subgroups of workers that tend to have quality jobs (higher educated, managers, employed in certain industries) also report higher AI usage.

Some Benefits of AI Usage Not Equally Shared Among Users

As might be expected, regular AI users — those who use it daily or weekly — are far more likely than irregular users to report AI benefits at work, particularly in completing tasks faster (79% vs. 38%), finding more creative solutions (67% vs. 39%), producing higher-quality work (59% vs. 26%) and being able to focus on the more interesting parts of their job (61% vs. 27%).

Certain benefits from using the technology accrue more for some subgroups of AI users than others. AI users with higher levels of education are more likely to say AI helps them work faster and spend more time on interesting work. More than two-thirds of four-year college graduates, 68%, say AI allows them to do their work faster, compared with 51% of AI users with a high school education or less. By contrast, reported gains in creativity and work quality are similar across education groups.

Younger AI users appear to benefit more from using AI at work than older AI users; the differences are mainly seen for employees under age 55 versus those aged 55 and older.

• Sixty-four percent of younger AI users, compared with 54% of older AI users, say they can complete work tasks faster.
• More younger (49%) than older (40%) AI users say the technology allows them to focus on the more interesting aspects of their work.

These age groups are similar in terms of saying their AI use results in increased work quality and finding creative solutions.

Seven in 10 of the highest-paid employees, those earning $10,000 or more a month from their main job, say AI is helping them do their job faster, significantly higher than the 62% of employees earning between $4,000 and $9,999 a month and 58% of those earning less than $4,000.

Bottom Line

As AI adoption expands, an important question emerges: Will the benefits workers are already reporting become more broadly shared across the workforce, or will they remain concentrated among workers who are already more likely to hold quality jobs?

Decisions about job design, worker influence and implementation will help determine whether technological change strengthens or weakens the conditions associated with quality jobs. Worker Agency and Voice, one of the five dimensions of job quality measured in the American Job Quality Study, captures whether employees have meaningful influence over workplace decisions. In 2026, 52% of all employees report having less influence on the adoption of new technology than they would like.

Continued measurement of AI usage at work, employee influence over technology implementation, and job quality will be important to understand how AI is augmenting, reshaping and replacing employee tasks — and what those changes mean for jobs and workers over time.

Read more about the American Job Quality Study.

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