Has 2049 Already Arrived

I set Terminal Autonomy in San Francisco in 2049.

That felt far enough away to change how emergency medical services operates without turning the book into space-age science fiction. Ambulances drive themselves. A paramedic works with artificial intelligence. Electric aircraft move critical patients between hospitals. Algorithms decide who responds, where the patient goes, and how limited resources are distributed.

It turns out that almost every technology in the novel already exists, either in production or development.

People in San Francisco summon driverless vehicles today. The FAA has established rules for electric vertical-takeoff-and-landing aircraft and selected pilot programs involving emergency medical response and autonomous flight. Arlington County, Virginia, uses AI to recognize routine requests on its non-emergency public-safety line and direct callers to online services. A report on emerging EMS technology described AI combining patient information, hospital capacity, and even insurance networks to recommend a destination.

None of this technology is inherently bad. Most of it is amazing.

I’ve spent nearly four decades in EMS. Technology rarely arrives as a revolution. It appears one sensible improvement at a time. A new dispatch system sends the closest appropriate first responder. Electronic patient-care reports collect better data. Navigation software adjusts for traffic. Hospital dashboards show bed availability. Clinical algorithms help identify strokes, heart attacks, and sepsis.

Each feature solves a real problem.

Then we connect them.

The dispatch system knows where the ambulances are. The ambulance knows the patient’s history. Clinical software estimates a diagnosis. Hospitals report capacity. The payer identifies its network. The system knows the cost of every available choice.

At that point, it has everything it needs to make the decision itself.

That is where Terminal Autonomy begins.

The question isn’t whether an algorithm can choose a hospital. It’s what we tell the algorithm to optimize: the closest facility, the best outcome for this patient, the greatest benefit across the whole system, the lowest cost, or the fastest return to service.

All are reasonable goals. They won’t always produce the same answer.

The dystopia in Terminal Autonomy doesn’t come from the technology. It comes from shortsighted people implementing powerful tools to solve the problem directly in front of them without thinking seriously about the consequences—or who will absorb them.

The danger isn’t that the system fails.

It’s that the system succeeds at exactly what we asked it to do, and we didn’t think carefully enough about the question.

The future in Terminal Autonomy isn’t arriving all at once.

It’s already here.