DoorDash is America's fastest-growing brand, driven not by its expected young user base, but by senior citizens. This exposes a significant blind spot in the tech industry, which often overlooks the massive wealth and needs of the baby boomer demographic, representing a major untapped market opportunity.

Dr. Wachter argues AI's rapid healthcare uptake stems from a collision of new technology with a system universally seen as failing. While consumers weren't clamoring for a better Google, everyone in healthcare—patients and providers alike—recognized the deep, unmet needs, making them receptive to a transformative solution.

The rapid growth of AI products isn't due to a sudden market desire for AI technology itself. Rather, AI enables superior solutions for long-standing customer problems that were previously addressed with inadequate options. The demand existed long before the AI-powered supply arrived to meet it.

The reluctance to adopt always-on recording devices and in-home robots will fade as their life-saving applications become undeniable. The ability for a robot to monitor a baby's breathing and perform emergency procedures will ultimately outweigh privacy concerns, driving widespread adoption.

Previous technology shifts like mobile or client-server were often pushed by technologists onto a hesitant market. In contrast, the current AI trend is being pulled by customers who are actively demanding AI features in their products, creating unprecedented pressure on companies to integrate them quickly.

In healthcare, the user, recommender, and payer are often different entities. A clinically effective product can easily fail if it's not inserted into the right point in the value chain where a stakeholder is both willing and incentivized to pay for it.

AI adoption in healthcare has accelerated by sidestepping slow enterprise sales cycles. Companies like Open Evidence offer free, consumer-like apps directly to doctors (prosumers). This bottom-up approach creates widespread use, forcing organizations to adopt the technology once a critical mass of their staff is already using it.

Unlike the top-down, regulated rollout of EHRs, the rapid uptake of AI in healthcare is an organic, bottom-up movement. It's driven by frontline workers like pharmacists who face critical staffing shortages and need tools to manage overwhelming workloads, pulling technology in out of necessity.

The 'Overton window' of trust in AI for health is shifting much faster for consumers than for doctors. Patients are rapidly adopting tools like ChatGPT, often introducing the technology to their physicians. This dynamic creates a bottom-up adoption pressure and means the initial challenge is not convincing health systems, but managing the interactions between AI-empowered patients and not-yet-AI-empowered clinicians.