Artificial intelligence is quickly becoming part of everyday life. People are using AI tools to research topics, complete schoolwork, prepare presentations, generate content, solve problems, and handle routine tasks. But growing usage does not necessarily mean growing confidence.

A new Gallup survey suggests that many people who regularly use AI remain concerned about its broader impact. In the United States, about 68% of people who use AI every day said they are worried about the technology. Concern is even more pronounced among people who use AI less frequently.

The findings come as governments, technology companies, researchers, and the public continue debating AI safety, employment, privacy, cybersecurity, and the appropriate boundaries for increasingly capable systems.

The U.S. Shows a Strong Mix of Adoption and Concern

Gallup’s research covers 37 countries so far, based on surveys of roughly 1,000 people per country conducted between April and July 2026. The larger project is expected to eventually cover 140 countries.

The United States stands out for its relatively high level of concern. Overall, 74% of Americans surveyed reported feeling worried about AI, while only 36% believed the technology would primarily benefit the country.

This creates an interesting contradiction. People can incorporate AI into their daily routines while simultaneously questioning what its wider adoption could mean for jobs, society, privacy, and trust.

Canada shows a similar pattern. Although 29% of Canadians surveyed reported using AI daily, concerns about the technology remained substantial among those familiar with it.

Other Markets See More Optimism

The global picture is not uniformly negative.

Singapore recorded the highest share of daily AI users in the countries included in the survey, at 46%. More than 80% of people aware of AI there expected it to improve their everyday lives, while 77% believed it would benefit the country.

China also showed relatively strong optimism. Around 35% of respondents reported using AI daily, with most expecting positive effects at the national level. Israel displayed a broadly similar outlook.

These differences demonstrate that public attitudes toward AI can vary significantly depending on geography, exposure, expectations, and the broader social environment surrounding the technology.

Usage Does Not Guarantee Trust

One of the most important findings is that frequent AI use does not automatically translate into complete confidence in AI-generated information.

Daily users generally expressed greater trust in AI results than people who use these tools less often. However, confidence remained limited in several markets.

In the United States, only 45% of daily AI users expressed strong confidence in the technology’s results. Across the countries surveyed, the median share of respondents saying they trust AI results “a lot” was just 36%.

That gap could become increasingly important as AI moves into areas where inaccurate information can have serious consequences.

Curiosity and Concern Can Exist Together

Despite widespread concerns, Gallup found that positive emotions toward AI were more common than negative ones in 34 of the 37 countries surveyed. Curiosity was particularly common, followed by emotions such as happiness and excitement.

This suggests that public opinion about AI is not simply divided between supporters and critics. People can be excited about what AI can accomplish while still worrying about its potential consequences.

As Pablo Diego-Rosell, a senior scientist at Gallup, explained to TechCrunch, attitudes toward AI are multidimensional. People may use AI frequently, expect it to be beneficial, and remain concerned about its effects or uncertain about the accuracy of its answers.

What Comes Next for AI?

The survey arrives during a period of rapid AI development and growing debate over regulation, employment, safety, data privacy, cybersecurity, environmental impact, and creative ownership.

For businesses, the message is particularly relevant. AI adoption should not be measured only by how many people use a tool. Trust, transparency, accuracy, employee training, and responsible implementation are becoming equally important.

AI is likely to continue expanding across workplaces and consumer applications. But greater exposure alone may not eliminate public concerns. The next phase of AI adoption could therefore depend not only on what these systems can do, but also on whether people believe they can be used responsibly.