Health information has never been more accessible. A large share of daily searches on platforms like Google are health-related, and AI tools such as ChatGPT and Perplexity are making answers instant, conversational, and increasingly persuasive.

However, access to information is not the same as understanding it.

The World Health Organization recognises health literacy as a critical determinant of health, often more predictive of outcomes than socioeconomic status. Evidence from multiple systematic reviews shows that limited health literacy is associated with poorer disease control, lower medication adherence, higher hospitalization rates, and increased healthcare costs.

AI is now reshaping how people engage with health information. We are moving from passive searching to active self-diagnosis. These systems generate responses based on user prompts, but they do not evaluate whether the question itself is clinically appropriate. For individuals with limited health literacy, this creates a structural risk.

Even if we assume that AI models will evolve to deliver consistently accurate, culturally sensitive, and medically sound responses, the problem does not disappear. The ability to ask the right question remains a fundamental barrier. Much has been said about “prompt engineering,” but who equips a common citizen to frame the right health question? Incorrect or incomplete prompts can lead to misleading conclusions, delayed care, or inappropriate self-medication.

In a country like India, where baseline health literacy remains low, this shift can amplify existing vulnerabilities. For last many years, we have battled health misinformation in the online space. But today, the issue is no longer just misinformation - it is misplaced confidence in partially understood information.

Addressing this requires a public health response.

First, health literacy must be treated as a core health intervention, not an optional add-on. Structured, evidence-based education delivered in simple language should be scaled across communities, schools, and digital platforms.

Second, healthcare providers must actively enable informed participation. Encouraging patients to ask questions, simplifying communication, and clarifying treatment pathways can significantly improve adherence and outcomes.

Third, the doctor–patient relationship must be strengthened. As trust erodes, patients are increasingly turning to AI as a primary source of guidance, often without clinical oversight. Health cannot become a do-it-yourself model. It requires a trusted human layer. Rebuilding trust in medical professionals is essential to ensure that AI complements care, rather than replaces it.

AI will continue to expand access to health information. But without parallel investments in health literacy, greater access may not translate into better health.

In the age of AI, informed understanding is not just beneficial, it is essential for safe and effective care.