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AI Shouldn't Drive Your Healthcare

· business

Aflac President: Why AI Shouldn’t Drive Your Healthcare

The recent study revealing that 76% of Gen Z adults and 63% of millennials turn to artificial intelligence (AI) as their first line of primary healthcare before seeing a doctor is a clarion call for a more nuanced conversation about the role of technology in health care. This trend represents a disturbing shift towards self-diagnosis and reliance on digital tools, rather than human expertise.

While AI can be useful in understanding medical terminology and potential risks, it falls short when providing actionable guidance or actual treatment. The notion that AI should “copilot” our healthcare is misleading – and potentially catastrophic. Virgil Miller, president of Aflac Incorporated, astutely notes, “Knowing more is not the same as knowing what to do next.”

The implications are far-reaching. This trend underscores a worrying lack of trust in medical professionals. If Gen Z and millennials turn to AI before consulting with doctors, it suggests they have little confidence in the healthcare system. Moreover, this reliance on technology exacerbates existing health disparities – particularly among low-income communities who may not have access to quality digital resources.

Aflac’s business model relies on the inefficiencies and delays that AI purports to address. The company exists because screenings get missed, diagnoses come late, and families need help covering what health insurance alone can’t provide. Miller acknowledges this in his own words: “Our business model is built on the very issues we’re trying to solve with AI.”

But here’s the thing: AI is not a substitute for human care. It cannot perform medical procedures like mammograms or colonoscopies. It cannot view your health history and connect the dots on possible conditions that didn’t exist before. And it certainly cannot replace the voice of someone you trust asking, “Did you get that checked?”

The most powerful health intervention tool is not information coming out of a screen – it’s often someone who knows and cares about you. Research on cancer-screening behavior shows that Americans describe encouraging a loved one to get screened as an act of love, and say that encouragement changes their own behavior.

Miller’s personal experiences with cancer have given him a unique perspective on the issue. But what’s striking is how his company’s business model – built on the inefficiencies AI aims to address – is being repackaged as a success story. The AI conversation isn’t abstract for Aflac; it shows up in their claims data.

We need to fundamentally rethink our approach to technology and human expertise. Rather than relying on AI to drive healthcare decisions, we should be using it as a complement to medical professionals – not a replacement. Miller’s words of wisdom are worth heeding: “AI can’t take you to an appointment when you’re hemming and hawing about going.”

Reader Views

  • TN
    The Newsroom Desk · editorial

    The Aflac president's warning about the dangers of AI-driven healthcare is timely, but we shouldn't ignore the elephant in the room: our own digital habits are driving this trend. The proliferation of free online symptom-checkers and health apps creates a false sense of security, leading people to turn to technology before seeking medical help. It's not just about trusting AI over doctors – it's about understanding that these tools can only provide a starting point for care, not a substitute for actual treatment.

  • MT
    Marcus T. · small-business owner

    While Aflac's concerns about AI-driven healthcare are valid, we need to consider another consequence: the potential for biased algorithms exacerbating existing health disparities. If AI systems are trained on datasets that don't accurately represent diverse populations, they'll perpetuate systemic inequalities rather than alleviate them. Furthermore, who's to ensure these algorithms are regularly updated and audited to prevent such biases from creeping in?

  • DH
    Dr. Helen V. · economist

    The reliance on AI for healthcare is misguided, but what's equally concerning is the potential impact on data security and patient confidentiality. As AI systems collect and analyze vast amounts of health information, we must consider the risks of cyber breaches and unauthorized access to sensitive medical data. With great power comes great responsibility – in this case, ensuring that AI-driven health platforms are designed with robust security measures and transparency about how user data is handled.

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