I understand the feeling of accepting Waymo without much resistance. There is a sense of novelty, and as someone who likes technology, I also see it as a remarkable crystallization of engineering. Every time I notice one on the street, it feels like witnessing a transition point in history.
At the same time, separate from that excitement, I cannot help thinking about Waymo’s point of view. It has eyes called LiDAR. As it moves through the city, it continuously captures not only the shape of the roads, but also the positions, movements, and reactions of the people and objects within them. If we look at it only through the lens of autonomous driving, it appears to be a useful technology and a practical answer to driver shortages. But the real issue may lie less in the vehicle itself than in the world the vehicle is seeing.
What matters is not only what it can detect, or how far it can see. What matters is what kind of information is being accumulated, in what form, and under whose control. Not just terrain data or traffic conditions, but pedestrian flows, changes in congestion, human reactions, and the shifting texture of the city across different times of day. In the short term, such data may improve dispatch efficiency and safety. In the long term, it leads to a larger question: who gets to observe reality, and who gets to own it?
This is why recent moves by Niantic are worth paying attention to. A company that accumulated location data and image-based knowledge of the real world is now beginning to connect those assets to physical services such as robotics and delivery. It feels like a case where both the collection and the use of data have finally become visible in a form that broader society can understand.
Enormous amounts of data had already been gathered in the era of Twitter and Facebook. Yet the scale of that value, and the scale of its influence, remained abstract to much of society. As long as it appeared only in timelines, advertising, or recommendation engines, it was difficult for people to feel its weight. But the moment that same logic begins to shape maps, movement, logistics, and robotics in physical space, the importance of that data takes on a sharper outline.
Waymo is still driving through the city today. But it is not merely a car in motion. It is staring at reality through LiDAR and cameras, slowly copying the city as it goes. To think about the future of autonomous driving is not only to think about transportation. It is also to ask which companies will observe, accumulate, and ultimately reconstruct reality itself.
