A study by SingleCare found that Americans are increasingly turning to artificial intelligence for medication-related advice. According to the report, 46% of respondents have used AI to answer questions about medications, and 49% of AI users said they have changed the way they take their medication based on information generated by AI.
The survey found that 78% of respondents believe that drug information generated by AI is at least somewhat accurate. At the same time, 83% said they were at least somewhat concerned that AI could provide incorrect medication guidance. Almost half (47%) of respondents also said that using AI is more convenient than consulting a medical professional.
Read: Vispero names Indian-American tech executive Sid Gaitonde as CEO (July 8, 2026)
The use of AI varies by demographic group. Women (44%) were less likely than men (50%) to use AI for medication-related questions. Parents, especially those with two or more children (62%), were more likely to rely on AI for medication guidance than respondents without children under 18 living in their home (42%).
According to the study, households with annual incomes of $100,000 or more were more likely than households with annual incomes of less than $50,000 to use AI to compare drug alternatives (46% vs. 26%), decide whether to seek treatment for a health problem (45% vs. 30%), interpret test results (34% vs. 24%), and obtain prescriptions (44% vs. 34%).
Younger adults were more likely to use AI for medication-related advice, but they also appeared to be more skeptical about the information provided by AI. Reports of the use of AI for drug research were similar among adults 18 to 54 (51%) but decreased among adults 55 and older (38%). More than half (56%) of adults aged 18-24 say they have used AI to answer a drug-related question, and 80% say they have verified information. By comparison, only 38% of adults aged 55 and older say they have used AI in drug research, and only 56% say they have verified information generated by AI.
Most respondents were using AI for basic drug research, but many were also using AI to make health decisions. About 51% said they used AI to learn what a drug is and what it’s used for, and 44% said they looked up side effects and recommended dosages. Almost half (49%) said they have changed the way they take their medication based on information generated by AI.
Healthcare providers say more patients are booking appointments with questions and, in some cases, recommendations, generated by AI.
“In the past few weeks alone, patients have been coming to us with specific AI-related questions and answers,” said Dr. Leslie Greenberg. “Last month, a woman asked me to ‘optimize’ her hormones and request an extensive panel of tests. Although these tests are available, they are not routinely used in menopausal hormone therapy because they rarely change treatment or management.”
Dr. Chad Schaefer said some patients have successfully used AI as a starting point for lifestyle guidance after discussing the information with a medical professional.
Read: Anatomy of liquidity events. Biometric test results for virtual currency transactions (April 2, 2026)
“Two patients recently told me they were using AI to help them understand their health conditions,” Schaefer said. “One company was using an AI model to generate dietary suggestions to reduce the side effects of nausea and constipation when using Zepbound for weight management. The ideas included increasing water and fiber intake, and avoiding large fatty meals and late-night meals. When asked, I reinforced that advice. As a result, the patient turned a corner in both medication tolerance and efficacy.”
Medical experts emphasized that patients should not rely solely on AI when making medication decisions and should consult their healthcare provider before starting, stopping, or changing prescriptions. The survey also found that although using AI to manage prescription drug costs is still in its infancy, nearly half (47%) of respondents said they had used AI to research ways to save money on prescription drugs.
