AI in the Workplace Statistics for 2026

AI tools have gone from novelty to norm in American workplaces. But adoption numbers only tell part of the story. How do workers actually feel about AI-generated output from their coworkers? How much extra work is it creating? And are employer policies helping or hurting?

This article compiles original data from our 2026 AI in the Workplace survey of 2,078 U.S. workers alongside findings from trusted sources like Gallup, Pew Research Center, McKinsey, and several others.

👉 Download our AI in the Workplace report here.

Key Stats on AI Usage in the Workplace

• 89% of workers said they’ve used AI for work in some capacity
• 38% use it daily, and another 23% use it weekly
• More than 75% of leaders and managers use generative AI several times a week
• 6% of workers are required to use AI, and 2% are prohibited from using it
• 65% of employees at companies using AI are positive about its impact on productivity
• 44% of U.S. workers say their employer has no clear AI policy, or they aren’t sure if one exists
• 77% review a coworker’s work more carefully when they know AI was used, and 36% say they review it “much more carefully”
• 45% of workers have had to fix or redo work from a worker because it relied too heavily on AI
• 57% of managers and above have had to redo other people’s AI-created work

AI Adoption and Usage Statistics

AI use at work has grown fast since 2023, but how you measure it matters. Different surveys define “use” differently, which explains some of the variation in the numbers below.

According to Gallup, half of U.S. employees now use AI at work at least a few times a year, up from 21% in Q2 2023. This is the first time that figure has crossed the 50% mark.

13% of U.S. employees use AI daily, and 28% use it at least a few times a week. Both numbers are all-time highs in Gallup’s tracking.

In our AI in the workplace survey, 89% of workers said they’ve used AI for work in some capacity. 38% use it daily, and another 23% use it weekly. This parallels McKinsey’s findings that 88% of organizations now use AI in at least one business function, up from 78% a year prior.

In a 2023 McKinsey survey, only 30% of employees reported using AI at work. By 2025, that number had jumped to 76%.

Pew’s numbers are lower. 21% of U.S. workers say at least some of their work is done with AI, up from 16% a year earlier. The share saying “all or most” of their work uses AI is unchanged at 2%.

According to BCG, more than three-quarters of leaders and managers use generative AI several times a week. But frontline worker usage has stalled at 51%, creating what BCG calls a “silicon ceiling.”

In organizations that make AI tools available, 67% of leaders use AI daily or weekly, based on a Gallup study reported by Axios. Among individual contributors, it’s 46%.

Our survey found that software engineers lead all work functions in daily AI usage at 71%, followed by marketing professionals at 63% and IT/information security at 55%.

86% of employers expect AI and information processing technologies to transform their businesses by 2030.

(Sources: Gallup, Founder Reports, Pew, McKinsey 2025, McKinsey 2026, BCG, Axios, World Economic Forum)

AI Workplace Policy Statistics

One of the more significant findings from our survey was how many workers don’t have any guidance around AI at work.

44% of U.S. workers say their employer has no clear AI policy, or they aren’t sure if one exists.

Only 6% of workers say their employer requires AI use. Just 2% say it’s prohibited. The most common policy approach is to allow AI with restrictions (25%).

Only 37% of employees say their organization has implemented AI to improve productivity, efficiency, or quality, based on a Gallup survey. Another 23% say they simply don’t know.

92% of companies plan to increase their AI investments over the next three years, but only 1% of leaders describe their company as “mature” in AI deployment, according to McKinsey.

An SHRM survey revealed that only 1 in 4 HR professionals played a leading role in their organization’s AI implementation, even though two-thirds believe HR should lead on AI change management and training.

From a separate SHRM study, 92% of CHROs anticipate greater AI integration in workforce operations in 2026, and 87% expect increased AI adoption within HR processes specifically.

(Sources: Founder Reports, Gallup, McKinsey, SHRM, SHRM)

Trust in AI-Assisted Work

Most AI surveys ask workers whether they trust AI in general terms. We wanted to know something more specific: When you find out a coworker used AI to produce their work, does that change how you evaluate the output?

It does. And the skeptics significantly outnumber the believers.

43% of workers trust a coworker’s output less when they know AI was involved. Only 20% trust it more. 37% say it makes no difference.

Interestingly, workers under 40 are more skeptical of AI-assisted work than those over 50. 48% of under-40 workers report reduced trust, compared to 34% of workers aged 50 and over.

Legal professionals are the most skeptical. 63% trust AI-assisted work less. Design and creative workers follow at 57%.

According to a Pew survey, 52% of U.S. workers say they’re worried about the future impact of AI in the workplace. And 32% think it will lead to fewer job opportunities for them.

18% of U.S. workers say it’s “very” or “somewhat” likely their job will be eliminated within five years due to AI or automation, according to Gallup’s data, as reported by Fast Company. That’s up from 15% in 2025. Among employees at companies that have adopted AI, the figure is 23%.

BCG found that employees at organizations undergoing comprehensive AI-driven redesign are more worried about job security (46%) than those at less-advanced companies (34%).

Half of the workers surveyed by BetterUp Labs and Stanford (as reported in Harvard Business Review) said they view colleagues who send low-quality AI-generated work as less capable and reliable. 42% viewed them as less trustworthy.

(Sources: Founder Reports, Pew, Fast Company, BCG, Harvard Business Review)

AI Scrutiny and Review Statistics

Trust is one thing. What people actually do when they receive AI-assisted work is another. Our survey found that the vast majority of workers change their behavior when they know AI is involved.

77% of workers review a coworker’s work more carefully when they know AI was used. 36% say they review it “much more carefully.”

The numbers aren’t any better among AI “power users.” 80% of daily AI users still review coworker AI work more carefully. Being familiar with the tools doesn’t eliminate the instinct to double-check when someone else uses AI.

Design and creative professionals show the highest scrutiny rate at 89%. Among that group, 59% say they review AI work “much more carefully,” which was the highest of any role.

At workplaces where AI is allowed with restrictions, 86% of workers review AI output more carefully. That’s a higher scrutiny rate than any other policy environment, including workplaces where AI is prohibited.

This extra review time is essentially a hidden cost of AI adoption. AI may save time for the person using it, but it’s creating additional work for everyone who receives the output.

(Source: Founder Reports)

AI Rework and Quality Statistics

The scrutiny isn’t paranoia. A significant percentage of workers have had direct experience cleaning up after AI.

45% of workers have had to fix or redo a coworker’s work that they believe relied too heavily on AI, based on our survey. 7% say this happens on a regular basis.

Among daily AI users, 59% have had to fix a coworker’s AI-reliant output. The rework rate scales directly with how much AI a workplace uses. Among those who rarely use AI, it drops to 28%.

57% of managers and above have had to fix AI-created work, compared to 38% of individual contributors. At the senior manager level and above, the rate exceeds 60%.

At companies that require AI use, 73% of workers have had to fix a coworker’s AI output, and 17% say it happens regularly. Compare that to workplaces with no AI policy, where the fix rate is just 30%.

From the BetterUp Labs/Stanford study reported in Harvard Business Review, 41% of desk workers have encountered AI-generated “workslop” in the past month. Dealing with each incident costs nearly two hours of rework time. Those workslop incidents cost an estimated $186 per month, per affected worker. For a 10,000-person organization, that adds up to roughly $9 million per year.

53% of workers who received AI workslop said they felt annoyed. 38% were confused. 22% were offended.

(Sources: Founder Reports, Harvard Business Review)

AI Productivity and Business Impact Statistics

The productivity picture is mixed. Workers who use AI tend to say it helps them personally. But organization-wide evidence of meaningful change is harder to find.

65% of employees at companies using AI are positive about its impact on productivity, according to Gallup. 16% describe the impact as “extremely positive.”

About 7 in 10 leaders who use AI say it has made them more efficient at work. Among individual contributors, it’s just over half, based on a Gallup study reported by Fast Company.

Only 12% of workers globally believe AI has meaningfully changed how work gets done in their organization, according to Gallup via UNLEASH.

Gallup also found that 27% of employees at AI-adopting organizations say their workplace has experienced significant disruption in the past year. At non-AI organizations, it’s only 17%.

80% of the global knowledge workforce reports lacking the time or energy to meet current demands, and 53% of leaders say productivity needs to increase, according to Microsoft. 82% of leaders say 2025 was a pivotal year to rethink core strategy and operations in light of AI.

Also from Microsoft, 46% of leaders say their organization is using AI agents to fully automate workstreams or business processes for entire teams or functions.

(Sources: Gallup, Fast Company, UNLEASH, Microsoft)

AI Training and Skills Statistics

The training gap keeps coming up across multiple studies. Companies are adopting AI faster than they’re preparing their people to use it well.

48% of employees rank training as the most important factor for successful AI adoption, according to McKinsey. But nearly half report receiving minimal or no training.

BCG found that only 25% of frontline employees say they receive sufficient guidance from leadership on how to use AI effectively.

Only 9% of employees say they feel very comfortable using AI tools at work, based on a Gallup survey as reported by National CIO Review. And just 25% say their employer has clearly communicated how AI should be used.

The World Economic Forum reports that 39% of workers’ core skills are expected to change by 2030. That figure is actually down slightly from 44% in 2023, which the WEF attributes to increased investment in reskilling. They believe 59% of the global workforce will need reskilling by 2030.

(Sources: McKinsey, BCG, National CIO Review, World Economic Forum)

Employee Concerns About AI

Beyond trust and rework issues, workers have a range of concerns about AI at work. These go beyond the “will AI take my job” question.

Cybersecurity is the top AI concern among employees, cited by 51% of respondents in a McKinsey survey. Inaccuracy follows at 50%, and personal privacy at 43%.

Gallup (as reported by Fast Company) found that 46% of non-users who have AI tools available at work say they prefer to keep doing their work the way they do it now. About 4 in 10 cite ethical opposition, data privacy concerns, or simply don’t believe AI can help them.

AI “power users” are actually the most likely to quit, according to McKinsey. AI creators and heavy users are 7% more likely than light users to plan on leaving their jobs in the next 3 to 6 months. Compared to non-users, the gap is 10%.

From the same McKinsey study, 51% of organizations reported that generative AI was reducing their need for entry-level employees.

(Sources: McKinsey, Fast Company, McKinsey)

AI and the Future of Jobs Statistics

170 million new jobs are projected to be created globally by 2030, according to the World Economic Forum, while 92 million will be displaced. That’s a net increase of 78 million jobs.

SHRM reports that about 23.2 million U.S. jobs (15.1% of employment) already have at least 50% of their tasks automated. For roughly 12 million jobs (7.8% of employment), at least half the tasks involve generative AI. 63.3% of all jobs include non-technical barriers that would prevent complete automation-based displacement. These include client preferences for human interaction, regulatory requirements, and cost-effectiveness concerns.

AI’s organizational impact is 5.7 times more likely to shift job responsibilities and 3 times more likely to create new roles than to displace jobs entirely, according to a separate SHRM study.

(Sources: World Economic Forum, SHRM, SHRM)

Sources

Founder Reports AI at Work Survey (April 2026): Original survey of 2,078 employed U.S. adults conducted via Prolific. Full-time (80%) and part-time (20%) workers across 22 work functions. Report page

Gallup Workforce Panel (Q1 2026): Self-administered web survey of 23,717 employed U.S. adults, conducted February 4–19, 2026. . Gallup workplace page

Gallup Workforce Panel (Q3–Q4 2025): Quarterly surveys of 23,000+ employed U.S. adults conducted via the probability-based Gallup Panel. Q4 report

Gallup State of the Global Workplace 2026: Annual global engagement and workplace report. Report coverage via UNLEASH

Pew Research Center (September 2025): Survey of 5,010 U.S. workers from a nationally representative sample of 8,750 adults, conducted September 2–8, 2025 via the American Trends Panel. Full report

Pew Research Center (February 2025): Survey of 5,273 employed U.S. adults, conducted October 7–13, 2024 via the American Trends Panel. Full report

McKinsey “State of AI” Global Survey (2025): Online survey of 1,993 participants across 105 countries, conducted June 25–July 29, 2025. Report page

McKinsey “Superagency in the Workplace” (January 2025): Survey of 3,613 employees and 238 C-level executives, conducted October–November 2024. 81% U.S.-based respondents. Full report

McKinsey “How AI Is—and Isn’t—Changing the Future of Work” (April 2026): Analysis drawing on McKinsey’s multi-year survey research on AI, work, and attrition. Article

Microsoft/LinkedIn Work Trend Index (April 2025): Survey of 31,000 full-time knowledge workers across 31 countries, conducted by Edelman Data x Intelligence, February 6–March 24, 2025. Report page

BCG AI at Work (June 2025): Third annual survey of 10,635 employees across 11 countries. Full report

BCG “AI Adoption Puzzle” (December 2025): Surveys of software developers at multiple organizations examining AI adoption hurdles and mindsets. Full report

BetterUp Labs / Stanford Social Media Lab (September 2025): Survey of 1,150 U.S. desk workers on experiences with AI-generated “workslop.” Published in Harvard Business Review. HBR article

World Economic Forum, Future of Jobs Report 2025 (January 2025): Survey of 1,000+ global employers representing 14 million workers across 22 industry clusters and 55 economies. Report page

SHRM 2025 Automation/AI Survey: Survey of 20,262 U.S. workers, fielded March–April 2025. Press release

SHRM State of AI in HR 2026: Survey of 1,722 HR professionals, fielded December 5–23, 2025. Full report

SHRM 2026 CHRO Priorities and Perspectives: Survey of 129 CHROs, fielded October 7–November 5, 2025. Press release