For most Americans, the first experience with AI in healthcare won’t be in a hospital operating room—it will be at the first point of contact: a chatbot, a scheduling tool, or a symptom checker. This Ai65 flagship article explores how “first contact” will shape trust, reform, and the culture of care over the next 40 years. Human-first design is the key to adoption.

For clinicians, the promise of AI isn’t futuristic—it’s the hope of relief from daily frustration. Endless charting, claim denials, and clunky software systems are grinding down the workforce. This Ai65 briefing explores the lived experience of doctors and nurses and frames how AI, over the next 40 years, can restore time, trust, and humanity to care.

Healthcare innovation often skips over the people who hold the system together: clinicians. This Ai65 briefing argues for a human-first, AI-enhanced future—one where the voices of doctors and nurses shape how technology is built and deployed. Elevating their perspective is the key to trust, adoption, and meaningful transformation across the next 40 years.

Healthcare systems are under pressure to cut costs while improving outcomes—goals that often feel at odds. This Ai65 briefing explores how AI can align financial sustainability with patient-first care, ensuring technology adoption is measured not only by efficiency but also by trust and clinical impact. Over the next 40 years, success will come from systems that deliver both margins and humanity.

The race to discover new drugs has always been long and costly. AI is changing that, pairing remarkable speed with human creativity to bring treatments to patients faster than ever before. This Ai65 briefing explores how AI can make drug discovery both a breakthrough business and a lifesaving engine for those in need over the next 40 years.

Without trusted data, everything is just an opinion. With it, AI can transform care. This Ai65 Health briefing outlines how leaders can prioritize data quality and run disciplined AI pilots that deliver measurable results. The playbook: clean your data first, then pilot AI where the value is obvious—administration, scheduling, and early diagnostics.

Today, we’re asking: does clinician + AI collaboration really improve care? Forty years from now, the answer will be clear. This Ai65 briefing explores how hybrid models—combining human judgment with machine precision—will shape healthcare’s evolution, from early decision support to fully integrated clinical teams. The measure of success: better outcomes, trusted care, and a system that works for both patients and providers.