Racial and ethnic differences in how adults use and view AI

2026-06-11 · Source: Pew Research Center · Field: Science & Research — Social Sciences & Behavioral Studies, Emerging Technologies & Innovation · Depth: Fundamental Awareness, medium

Summary

A Pew Research Center study, conducted from February 17-23, 2026, surveyed 5,119 U.S. adults to explore racial and ethnic differences in artificial intelligence (AI) use and perceptions. The research reveals that Asian adults exhibit significantly higher engagement with AI chatbots, with 70% reporting use compared to roughly half or fewer of Hispanic, Black, and White adults. Furthermore, 47% of Asian adults use chatbots daily, nearly double the rate of other groups. Asian adults also demonstrate greater awareness, with 95% having heard of AI chatbots and 68% hearing "a lot." They are more likely to use chatbots for information search and work tasks, and uniquely, their views on AI's personal impact are more positive than negative (41% positive vs. 20% negative), contrasting with other groups whose views tilt negative.

Key takeaway

For product managers and marketers developing AI tools, you should recognize the distinct usage patterns and perceptions across racial and ethnic groups. Your outreach strategies must account for the higher adoption and optimism among Asian adults, who are more likely to use chatbots daily and for work. Consider tailoring educational content and feature sets to address specific demographic needs, ensuring broader and more equitable AI integration.

Key insights

Racial and ethnic background significantly influences AI chatbot adoption, awareness, and perception among U.S. adults.

Principles

• Demographic factors shape technology adoption.
• Awareness correlates with higher usage rates.
• Perceptions of AI vary by cultural context.

Method

The study surveyed 5,119 U.S. adults via the American Trends Panel from Feb. 17-23, 2026, to gather data on AI use, awareness, and views.

In practice

• Target specific demographics for AI product outreach.
• Tailor AI education campaigns to diverse groups.
• Analyze user sentiment by ethnicity for product development.

Topics

• AI Chatbots
• Technology Adoption
• Public Opinion
• Racial Demographics
• Digital Equity
• User Behavior

Best for: Executive, AI Scientist, AI Product Manager, Policy Maker, Tech Journalist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Pew Research Center.