We’re less than a mile from your office now. Just like every morning, your schedule for the morning—a conference call at 10 a.m., a meeting at 11 a.m.—appears on the screen, along with a reminder that today is a colleague’s birthday.

This is the age of self-driving cars, an era when much of the minutiae of daily life is relegated to a machine. Your commute was pleasant, relaxing, and efficient. Along with promising unprecedented safety on public roadways, driverless cars could make our lives a lot easier—freeing up people’s time and attention to focus on other matters while they’re moving from one place to the next.

But there’s a darker side to all this, too. Let’s rewind and take a closer look at your commute for a minute.

There we were. The car picked us up. We wanted coffee. It suggested Peet’s. But if we’d stopped to look at the map on the screen when this happened, we might have noticed that Peet’s wasn’t actually the most efficient place to stop, nor was it on your list of preferred coffee shops, which the car’s machine-learning algorithm developed over time. Peet’s was, instead, a sponsored destination—not unlike a sponsored search result on Google. The car went ever-so-slightly out of the way to take you there.

Same goes for your dry cleaner’s. The only reason you dropped off your clothes there in the first place was that the car suggested it. And the car suggested it because Suds paid Google, the maker of the self-driving car, to be a featured dry-cleaning destination in your area.

As for the lunch special, that really is a favorite restaurant of yours—but the car has never driven you there before. It knows your preferences because the vehicle has combed through your emails, identified key words, and assessed related messages for emotional tone. Similarly, the car knew which sale items to show you from the grocery store because it reviewed your past shopping activity. Plus, there was that one time you told a friend who was sitting in the car with you how much you liked a particular beer you’d tried the night before. The car heard your conversation, picked up on brand keywords, and knew to suggest the same beer for your shopping list when it went on sale.

In this near-future filled with self-driving cars, the price of convenience is surveillance.

This level of data collection is a natural extension of a driverless car’s functionality. For self-driving cars to work, technologically speaking, an ocean of data has to flow into a lattice of sophisticated sensors. The car has to know where it is, where it’s going, and be able to keep track of every other thing and creature on the road. Self-driving cars will rely on high-tech cameras and ultra-precise GPS data. Which means cars will collect reams of information about the people they drive around—like the data Uber has amassed about its customers’s transportation habits, but down to a level of detail that’s astonishing. The more personalized these vehicles get—or, the more conveniences they offer—the more individual data they’ll incorporate into their services. The future I described might be a ways off, yet, but there’s no reason to believe it’s especially far-fetched.