Quinnipiac poll: only 15% of Americans are willing to work under an AI boss

In the US, another sign has emerged of how rapidly attitudes toward AI at work are changing: 15% of Americans are already ready to follow orders from a program that assigns tasks and schedules shifts. This is still a minority, but the very fact shows that the AI-manager is transforming from an experimental idea into a debated working model.

What the Poll Showed

Quinnipiac University conducted the poll among 1,397 adult Americans from March 19 to 23, 2026. Respondents were asked whether they would be willing to work where their immediate supervisor would be an AI program that distributes tasks and schedules. 80% said they were not ready, 15% said they were ready, and several percent remained undecided. At first glance, the figure is small, but for a completely new management model, it is no longer statistical noise but a noticeable segment of people who do not rule out such a work format.

It is important that this result did not appear in a vacuum. The use of AI in everyday tasks has already become more widespread: 51% of respondents use such tools to search for information, 28% for writing texts, 27% for studying or work projects, and another 27% for data analysis. At the same time, 27% said they have never used AI at all.

Trust remains low: only 21% said they could trust AI answers most of the time or almost always, while 76% trust them only sometimes or almost never.

"Americans are clearly adopting AI, but they are doing so with deep wariness, rather than deep trust," is how

Quinnipiac described the key finding of the poll.

AI in Management

The idea of "AI as a boss" is already moving beyond theory. This does not necessarily mean fully replacing a manager who is responsible for people, budgets, and strategy. More often, companies start with narrower management functions: automating approval of simple requests, deadline control, distribution of routine tasks, and schedule preparation.

TechCrunch cites several examples of how business gradually transfers such functions to AI-based systems—from internal HR processes to preparing employees for meetings with top management.

• Workday AI agents are already able to submit and approve expense reports.
• Amazon is implementing AI processes that take on part of the tasks of middle management.
• At Uber, they created a model imitating the CEO's style so that employees can rehearse presentations before the actual meeting.
• The most likely first scenario for an "AI boss" is not a team leader, but a digital routine coordinator. For an employee, this looks not like a conversation with a robot in a conference room, but like a system that assigns shifts, reminds about deadlines, sorts incoming requests, and can be the first to reject or approve a standard operation.

Therefore, the question is no longer whether AI will appear in management, but how far companies will allow it to go without mandatory human involvement.

Where the Fear Comes From

The main source of anxiety is not the technology's novelty itself, but the feeling that AI is changing the job market faster than people can adapt to it. In the same poll, 70% of Americans said that AI development would likely reduce the number of jobs for people. Only 7% expect an increase in vacancies, while 18% believe the impact will be minimal. The younger generation is particularly strongly opposed: among Gen Z, 81% expect a decrease in the number of jobs, even though this group is most familiar with AI tools.

There is also a more personal level of concern. Among working Americans, 30% admitted that they fear, to some degree, the obsolescence of their profession due to AI; a year earlier, this figure was 21%. At the same time, 76% believe that business is not transparent enough in how it applies AI, and 74% are convinced that the government is not doing enough to regulate the technology.

Tellingly, even in medicine, where people were asked to imagine AI being more accurate than humans, 81% still chose the combination of "AI plus human." The logic for the role of supervisor is the same: people are willing to tolerate automation, but the majority still want to see ultimate responsibility in human hands.

What It Means

Fifteen percent is not a sign that Americans are en masse ready to hand over management to machines. But it is already a large enough share for companies, HR platforms, and corporate software developers to continue testing AI in the role of dispatcher, coordinator, and process controller. In the near term, the AI manager will most likely be not a replacement for a director, but an intermediate layer between the employee and the company. And it is trust, transparency of rules, and the right to human appeal that will determine how quickly this layer becomes the norm.