AI and the USA Problem

The sports photographers of LIFE magazine didn’t have automation to fall back on. Every control on their cameras was manual and required deliberate control. Shutter speed, aperture and focusing required control and attention split between the camera mechanics and the unfolding moment. The mastery of the tools and craft of composition, lighting, framing were inseparable. The photographer was fully, unavoidably present.

Modern cameras changed the relationship between the photographer and their camera. Autofocus, auto exposure and subject detection reduced the requirement for technical mastery of the fundamentals of creating a photograph. The photographer’s attention was able to shift toward reading the game and anticipating the play in order to anticipate the decisive moment. Technical image quality became the camera’s job while the photographer could spend more time and energy on judgement.

By the time the 2026 Milan Cortina Winter Olympics rolled around even the photographer’s judgement was being handed over to the tech. Autonomous drones and robotic camera systems photographed athletes from every angle with technical precision, predicting where they would be next and aiming the cameras to catch the action. The resulting coverage was more complete, and more efficient than any photographer could achieve. Something fundamental shifted during these games, the photographer is no longer in control of the tools, the camera. Photos get taken, more than photos than any games that preceeded yet many of the images were produced without a photographer.

Tellingly, alongside the robotic systems, a small group of photographers made the opposite choice, shooting the Games on period Graflex cameras, a deliberate homage to 1956, the last time the Winter Olympics came to Cortina. The seventy-year-old cameras were adapted to transmit their images by smartphone, and that hybrid is the interesting part. The photographers decided where their judgment would sit — framing, timing, the patience a seven-pound camera demands — and knowingly handed the rest to the machine. Authorship, it turns out, is not the refusal of automation. It is the decision about what to keep.

When the Work Stops Feeling Like Ours

What makes the photography example interesting isn’t the technology itself. It’s the shift in where human judgment sits.

At first, tools remove friction. They take over tasks that are repetitive, technical, or cognitively expensive. This is usually a good trade. People gain space to focus on what only they can do — interpretation, judgment, meaning.

But sometimes the shift continues past the point we notice.

The task still exists. The outputs still appear. The system becomes faster, cleaner, more efficient. Yet the human role quietly moves further away from the moment where decisions are actually made. Over time, people stop shaping the work directly and start supervising systems that shape it for them.

Nothing dramatic happens. There is no single moment where agency is handed over. The transition feels incremental — even rational — at every step. And that is precisely why it is easy to miss.

Most people, if they stop and think about their own work, can identify a moment where this shift happened. A task that used to require their judgment that now runs without them. A decision that used to be theirs that now belongs to a system. It may have felt like progress at the time — and perhaps it was. The question is whether anyone stopped to ask what else changed when it did.

What’s at stake is not just employment or productivity. It is authorship. Work is one of the primary ways people experience agency in the world. Through work we make choices, exercise judgment, and see our intent reflected in outcomes. When that connection weakens — when people become caretakers of systems rather than participants in the act of creation — something changes in both the worker and the work itself.

Call it the Unconscious Surrender of Agency — USA. Not the decision to automate, but the failure to notice what automation quietly takes with it.

This isn’t new. Every major technological transition has reshaped where human judgment sits — from industrial machinery to assembly lines to enterprise software. What changes with each era is not the existence of the pattern, but the speed and subtlety with which it unfolds. AI is the latest chapter — and by some distance the most consequential.

Authorship doesn’t disappear all at once. It steps back incrementally, politely, one reasonable trade at a time. Until one day the work is still getting done — but you’re no longer quite sure by whom.