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The survey, which polled 1,397 adults between March 19-23, 2026, also found that a sobering 70% of Americans believe AI advances will lead to a decrease in job opportunities for people overall.
The Rise of the AI Manager
The concept of an AI supervisor is no longer purely theoretical. Companies are already deploying AI in management-adjacent roles at scale. Workday has launched AI agents that can file and approve expense reports on employees’ behalf.
Amazon has deployed new AI workflows to replace some responsibilities of middle management, laying off thousands of managers in the process. Engineers at Uber even built an AI model of CEO Dara Khosrowshahi to field pitches before meetings with their actual boss.
Across organizations, AI is being used to flatten management hierarchies in what some analysts are calling “The Great Flattening” a structural shift in how companies are organized and how work gets assigned, monitored, and evaluated.
The Quinnipiac poll suggests that while most workers aren’t ready to fully embrace AI leadership, a meaningful minority are open to it a number that is likely to grow as AI management tools become more sophisticated and normalized.
The Job Fear Factor
The poll’s most striking finding may not be the 15% who would accept an AI boss, but the 70% who believe AI will reduce job opportunities. Among currently employed Americans, 30% said they were either very concerned or somewhat concerned that AI would make their specific job obsolete.
These numbers reflect a workforce that is increasingly aware of AI’s disruptive potential, even as many workers continue to use AI tools in their daily work.
This anxiety is not unfounded. A separate study of approximately 750 CFOs, published through the National Bureau of Economic Research, found that CFOs were twice as likely to say AI would reduce jobs in clerical and administrative roles, such as bookkeeping, customer service, and data entry, as they were to say it would enhance them.
The study projected a modest but real headcount reduction of roughly 0.4% in 2026 relative to what it otherwise would have been, with the effects concentrated in routine cognitive roles.
The Skills Gap Is Real
Despite widespread anxiety about AI replacing jobs, a parallel challenge is emerging: many workers don’t yet have the skills to work effectively alongside AI tools. Enterprise AI spending hit $37 billion in 2025, but only 28% of employees know how to use their company’s AI applications, and just 7.5% have received what could be called extensive AI training. The result is a growing divide between “AI power users” who are dramatically more productive and workers who are being left behind.
What This Means for Workers and Employers
For workers, the message is clear: AI literacy is becoming a core professional skill. Those who learn to work effectively with AI tools, using them to augment their capabilities rather than resist them, will be better positioned in an increasingly automated labor market.
The 15% who say they’d work for an AI boss may simply be more pragmatic about where the workplace is heading.
For employers, the poll is a reminder that workforce anxiety about AI is real and needs to be actively managed. Organizations that deploy AI tools without addressing employee concerns through transparency, training, and clear communication about what AI will and won’t replace risk creating friction, resistance, and talent attrition among their best people.
The Bigger Picture
The Quinnipiac poll captures a workforce at an inflection point: aware of AI’s transformative potential, anxious about its implications, but increasingly willing to engage with it on practical terms. The 15% who would accept an AI boss today may look like a small minority, but it represents millions of workers who are already mentally prepared for a future that is arriving faster than most organizations are ready for.
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