Survey Finds Public Skeptical of AI in Health Care

While patients accept AI for basic translation tasks, many fear the technology will erode health privacy and patient relationships.

Updated on Oct. 29, 2026 in Artificial Intelligence

Bold flat-color editorial illustration depicting a minimalist examination chair in navy, cream, and crimson, representing AI skepticism in healthcare. — A new Pew Research Center survey indicates that a majority of U.S. adults are uncomfortable with the use of AI in clinical healthcare roles. AI Illustration. Upload story photo >

Live Poll

Would you feel comfortable if your doctor relied on AI to diagnose your health condition?

A new Pew Research Center survey of 3,488 U.S. adults reveals that while most are open to AI for simple administrative tasks like translation, a majority remain uncomfortable with the technology in clinical roles. The findings highlight significant public skepticism regarding AI's impact on health privacy and the quality of patient-provider interactions.

Why it matters

Understanding public sentiment is critical for healthcare providers and AI developers navigating the rollout of clinical decision support tools. The results underscore a potential adoption barrier, as patients associate AI implementation with decreased privacy and diminished human-centric care.

The survey achieved a margin of sampling error of 1.8 percentage points among its 3,488 participants. While 37% of respondents anticipate improved outcomes, this optimism is closely matched by 36% who expect worse results.

The players

Pew Research Center

A nonpartisan fact tank that provides information on the issues, attitudes, and trends shaping the world through data-driven research.

The details

The survey utilized the American Trends Panel, a group of U.S. adults recruited through national address sampling. Researchers conducted 3,362 interviews online and 126 by telephone. This methodology allows for weighted demographic analysis, showing that higher-income adults express greater optimism regarding AI integration than lower-income cohorts.

June 22-28, 2026: The survey was conducted.
October 29, 2026: The survey findings were released.

The Tech Race

This study situates public sentiment against the aggressive current deployment of AI tools in hospital clinical workflows. It provides a baseline for tracking how patient trust evolves as AI-augmented diagnostics transition from research-stage validation to routine care.

Patients should prepare for increased AI visibility in administrative and translation services, where public acceptance is significantly higher than in diagnosis. Conversely, those concerned about privacy may see higher friction as they interact with providers increasingly utilizing automated decision tools.

The takeaway

The data suggests that AI developers must address privacy and relational anxieties before clinical tools achieve widespread patient trust. Watch for future sentiment tracking to see if these numbers shift as AI health tools move from backend translation to front-line diagnostic support.