AI in Healthcare Faces a Trust Deficit, New Data Reveals

A growing skepticism towards artificial intelligence is emerging globally, particularly within the healthcare sector, according to recent findings from Edelman and The Harris Poll. While AI adoption continues across healthcare segments – from diagnostics to patient care – a significant portion of the population remains hesitant, citing concerns about job security, data privacy, and a fundamental lack of trust. This resistance isn’t simply a rejection of innovation; it reflects a deeper anxiety about the rapid pace of technological change and its potential societal impact.

The 2025 Edelman Trust Barometer Flash Poll, discussed in a December 3rd webcast, reveals that in the United States, individuals are more than twice as likely to reject AI’s increasing presence than to embrace it. This hesitancy extends beyond general technology trust, indicating a unique apprehension surrounding AI specifically. The study, conducted across Brazil, China, Germany, the UK, and the US with sample sizes exceeding 1,000 in each nation, fielded in October 2025, highlights a global trend of AI rejection outweighing enthusiasm.

Edelman identified four key forces shaping AI adoption: widespread rejection, the inherent complexities of welcoming all innovation (parallels can be drawn to debates surrounding genetically modified organisms versus renewable energy), a lower level of trust in AI compared to broader technology, and greater skepticism in wealthier nations versus developing countries. The U.S. consistently ranks lowest among the five studied countries in terms of AI acceptance.

Interestingly, employers currently hold the highest level of trust compared to government, NGOs, and media. Edelman’s research delved into employee attitudes towards AI across various industries. The data shows that professionals in technology and financial services are more receptive to AI in the workplace. However, healthcare workers demonstrate a greater tendency to reject AI integration (33% rejection versus 31% acceptance).

The survey emphasizes that trust is a more significant driver of AI adoption than mere motivation, access, or a lack of intimidation. In healthcare, a substantial gap exists between distrust in AI and willingness to allow it to manage personal health data – globally, only 12% are comfortable with AI-driven healthcare management, compared to 67% who trust AI.

Further illuminating this complex landscape, a recent report from The Harris Poll, The Future Feels Out of Tune: How Americans Are Navigating AI, Anxiety, and Change (published November 24), details the “Age of Dissonance” – a period characterized by both AI hope and AI obsolescence. The report reveals that 65% of Gen Z consumers experience “FOBO” (Fear of Being Obsolete), and nearly half feel their college education is becoming irrelevant in the face of AI-driven job market shifts.

The Harris Poll connects these anxieties to the “social drivers of health” – social cohesion, financial security, and overall well-being – which contribute to a sense of stability. As healthcare stakeholders continue to integrate AI into care delivery, diagnosis, and administration, building trust, equity, and empathy will be paramount. Given that trust is often localized, leveraging workplaces, employers, and trusted community touchpoints – such as faith-based organizations, retail centers, and community colleges – will be crucial in navigating this transition.

What role should healthcare providers play in addressing patient concerns about AI? And how can organizations proactively build trust in AI systems to encourage wider adoption?

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Disclaimer: This article provides general information and should not be considered medical or professional advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your health or treatment.