Medical AI Industry Develops Without Regard for Human Factor — TNW Opinion

The Next Web columnist Freddie del Barrio published a piece in 2026 raising an uncomfortable question: is the rapid AI expansion in medicine truly benefiting patients—or is the industry simply automating away what medicine exists for in the first place?

Why Medical AI Is Gaining Momentum

The logic behind AI's appeal in healthcare is clear. Healthcare systems worldwide have faced simultaneous pressure from multiple factors:

• Aging population—demand for medical services is growing faster than new specialists emerge
• Staff burnout—doctors and caregivers are working at the limits of their capacity
• Budget pressure—administrators are forced to do more with less

AI solutions offer a way out: automate routine tasks, accelerate documentation workflows, reduce staff burden. Every week the industry announces another intelligent chatbot for initial triage, a new AI assistant for doctors, an automated workflow for clinics, or a "digital caregiver" for elderly patients at home.

What Remains Beyond Automation

Here, according to del Barrio, lies the fault line. Medicine is not just diagnosis and routing. It is presence, contact, the ability to sense a patient's anxiety before they voice it. These qualities cannot be digitized.

The problem is not that AI performs poorly at the tasks it was designed for. The problem is the misalignment of priorities: success metrics for AI solutions—speed, scale, lower transaction costs—do not account for the human dimension.

A chatbot that handles initial patient contact quickly and correctly does not register that the patient's voice is trembling. An algorithm recommending treatment does not notice that behind a question about symptoms lies fear of hearing a diagnosis. A digital reminder for a check-up does not replace a call from a nurse who remembers the patient's child's name.

"Healthcare systems are under tremendous pressure, staff are overwhelmed, and the aging population is growing faster than the workforce supporting it," writes del

Barrio, describing a context in which AI appears indispensable.

Tools that were supposed to free doctors for genuine patient contact increasingly become another layer of digital mediation between them.

What This Means

Del Barrio's column is not calling for a slowdown in AI adoption in medicine—given the industry's real crisis, that would be unrealistic. The point is different: the design of medical AI systems should ask "does this tool enhance human presence in care?" before moving to efficiency questions. Otherwise, the industry risks building a highly efficient system that struggles to be humane.