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AI Adds a New Wrinkle to Cyberchondria

June 6, 20265 min read

AI can worsen anxiety for those who feel fear related to physical symptoms.

Posted March 11, 2026 | Reviewed by Monica Vilhauer Ph.D.

The concept of cyberchondria— anxiety that is experienced from frequent online searches for medical information—is not new, but a new wrinkle has been thrown into the equation: the advance of artificial intelligence . There was a time not long ago when those of us who cope with health anxiety were often made more anxious by information we found on Google, WebMD, the Mayo Clinic, or other such websites. Now, with the seemingly unstoppable advance of AI, we are able to access information even faster and more automatically. While there are certainly benefits to this growing accessibility, in regard to health and illness anxiety, the sheer immediacy of available information and answers can actually be detrimental and unsettling.

Case in point: I have been dealing with a loose cough and brown mucus. Being the health-anxious person that I am, I “Googled” these symptoms. Without hesitation, the “AI overview” of my search returned the following: “Common causes include acute bronchitis, pneumonia, or chronic conditions like COPD.” Bronchitis, pneumonia, and COPD are certainly not soothing or reassuring answers to the symptoms for which I searched. I am pretty sure that I have none of these issues, but here is the larger point: In an anxious state, we are prone to automatically accept any information that seems to provide an answer or an explanation to the discomfort we are feeling, no matter how unlikely it may really be. When these answers are instantly spit back at us, we often cannot help but believe them, so desperate we are for something to explain our symptoms.

In my 2023 book, Understanding and Coping with Illness Anxiety, I pose the following question: “How, when our search results may yield everything from ‘normal pain’ to ‘seek immediate medical attention ,’ could we not find ourselves overwhelmed and confused?” The problem with AI, with regard to looking up health information, is that it pulls information from multiple sources, not all of which may necessarily agree. A person with health anxiety already feels uncertain and confused as to what their symptoms might mean, so when this is met with further uncertainty, it serves to exacerbate, rather than relieve, anxiety.

The research, though limited, appears to support this idea. A 2025 empirical study in the journal Current Psychology concluded that AI “exacerbates cyberchondria through information overload.” A 2025 study conducted by the University of South Florida found that “expanded access to online information and AI may be contributing to increased health anxiety among Floridians,” with “between 20% and 30% of respondents exhibiting common symptoms associated with ‘cyberchondria.’” In essence, anxiety does not respond well to overload, and AI can often deliver an overload of information, leaving the anxious individual overwhelmed, frightened, and unsure of what to do.

Through a Cognitive Behavioral Therapy (CBT) lens, we might view AI and symptom searching as often resulting in “catastrophic conclusions.” Long ago, Aaron Beck, founder of CBT, described an individual hearing the faucet dripping, concluding that the house would soon be flooded. Those AI-generated search results for my cough are similar: They draw a big, drastic, and catastrophic conclusion from a somewhat small piece of actual evidence. It is important to note that AI tends to show us relatively large, sweeping conclusions to the questions we ask. I am not suggesting that these are never correct, but rather that there is often nuance and that we need to be mindful of the AI tendency to deliver these types of conclusions and of the effect these can have on the anxious mind.

For health-anxious individuals, the challenges we face have evolved along with technology: “Dr. Google” has been supplanted by “Dr. AI.” Both have one fatal flaw: They are inexact. They deliver a lot of information, but this quantity does not always translate to quality. Was there a chance that my symptoms could have been indicative of bronchitis, pneumonia, or COPD? Yes. But when I visited my primary care physician, the diagnosis was a viral infection. So, AI got it wrong; not because it is always wrong, but because it cannot differentiate, personalize, reason, rule out, or narrow down. A physical doctor can do these important things that are necessary to ensure an accurate diagnosis.

For fellow health-anxious individuals, remember that AI is not a doctor (it plays one online.) Cyberchondria thrives on an influx of information, and AI will deliver when it attempts to diagnose or analyze physical symptoms. Our goal in coping well with health anxiety is to learn to be measured and rational in our responses to uncomfortable physical symptoms and sensations, but unfortunately, AI has the tendency to overwhelm us, thus making us more susceptible to irrational, unreasonable, or fear -driven decisions. For example, had I rushed to the hospital in response to AI’s answers to my symptoms, that would have been an over-response. But in an anxious mindset, it can be difficult to differentiate. What we need in the moment is to feel less overwhelmed, to have our minds less cluttered by confusing and contradictory information. AI and its ability to deliver a wide swath of information are often the very opposite of what we need in coping with health anxiety.

Gu, C., Zhang, J. How does “Dr. AI” trigger cyberchondria? An empirical study based on the CMIS framework using a hybrid SEM–ANN approach. Curr Psychol 45, 69 (2026). https://doi.org/10.1007/s12144-025-08899-1

“How Do Floridians Perceive AI in Mental Health and Health Care?” Usf.edu , 2025, www.usf.edu/news/2025/how-do-floridians-perceive-ai-in-mental-health-and-health-care.aspx .

Lane, P. Understanding and Coping with Illness Anxiety. Routledge: 2023.

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Phil Lane, MSW, LCSW, is a psychotherapist in private practice and the author of the book Understanding and Coping with Illness Anxiety.

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