On the evening of April 25, 2019, George McGee was driving his Tesla Model S down Card Sound Road in Key Largo, Florida, with Autopilot engaged.
He dropped his phone and bent down to find it.
The cars autopilot did not stop the car for the stop sign ahead, or the flashing red light beside it. It went through both at roughly 62 miles per hour and struck a parked Chevrolet Tahoe. The impact pushed the Tahoe into two people standing nearby. Naibel Benavides Leon, 22, was killed. Her boyfriend, Dillon Angulo, 26, was severely injured.
Six years later, a Miami jury tried to answer a critical question about the crash:
Who was actually in control of that car?
A verdict that split the difference
On August 1, 2025, the jury delivered its answer, and it was not a clean one.
McGee was 67% responsible. Tesla, 33%.
Twelve people, presented with the full evidence, didn’t put the blame entirely on the man who looked away from the road, and didn’t put it entirely on the system that let him. They split it, and then added something a simple negligence finding doesn’t usually carry:
$200 million in punitive damages against Tesla – meaning the jury believed Tesla knew about the risk and didn’t fix it – on top of $42.6 million in compensatory damages to the victims.
A federal judge upheld the verdict in February 2026, rejecting Tesla’s bid to have it thrown out. In July, Florida’s Attorney General asked the court to erase it entirely. That fight is still live.
The measurement was never attention. It was a proxy for it.
The cars autopilot monitoring system tracked steering wheel torque, in other words how much pressure a driver’s hands were applying. That’s a measurement, and it has a single black and white answer:
Either your hands are exerting force on the wheel, or they aren’t.
Whether a driver is actually watching the road is a different question entirely, and torque doesn’t answer that question. A hand resting on the wheel registers the same as a hand actively steering. McGee’s hands may well have satisfied the system’s measurement in the moments before the crash, even as his eyes were on the floor of the car.
The system was built to measure grip not a judgment about attention – grip and attention aren’t the same thing. They just happened to correlate often enough that the difference went unnoticed until disaster struck.
Three questions the case turns on
What decisions needed making? Before Autopilot shipped, someone needed to define exactly which roads it was fit to operate on, and build the system to enforce that boundary rather than trust the driver to self-select appropriately. Card Sound Road – a two-lane county road with cross-traffic and stop signs – was, according to the plaintiffs’ case, outside the conditions Autopilot was designed to handle safely. But the system engaged anyway.
Where does the system measure, and where does a human judge? Steering torque is a measurement. Whether a driver is paying enough attention to react is a judgement call, and it is the kind two reasonable engineers could draw different conclusions from, looking at the exact same data. Treating torque as a stand-in for attention meant that judgement call never got made at all.
Who has the authority to act on that judgement, and could they actually use it? On paper, McGee held full authority. Autopilot is a driver-assistance system, not autonomous driving, and the driver is meant to stay ready to take over at any moment. The plaintiffs argued something more specific:
That Tesla’s own marketing had described Autopilot’s capabilities in terms that quietly eroded how seriously drivers treated that responsibility.
Authority that exists in the owner’s manual but is undermined by the company’s own messaging is authority weakened at exactly the moment it matters most.
What the verdict actually decided, and what it didn’t
The jury’s 67/33 split isn’t a loophole or an inconsistency. It is an honest reflection of a case where both a human failure and a design failure were real, and where responsibility genuinely didn’t belong entirely to either one. McGee looked away. The system that was supposed to require his attention couldn’t actually verify it was there.
That’s a harder, more useful finding than a full verdict against either party would have been. A full finding against McGee alone would suggest Autopilot’s design had nothing to do with it. A full finding against Tesla alone would suggest human distraction is beside the point once a driver-assist system is engaged. Neither is true, and the jury, which deliberated for weeks, weighing this same tension, made a decision which sat somewhere in between.
The open question
This case is still moving. Tesla is appealing. Florida’s own Attorney General is now asking the court to erase a verdict a jury spent weeks reaching. Whatever happens next will say something real about how much weight the legal system is willing to put on the gap between what a system measures and what it needs to know.
The real question isn’t whether Autopilot failed, or whether McGee did. It’s whether anyone, before this car was ever sold, asked what the system could actually verify about the driver, and built its limits around the honest answer, not the convenient one.
Follow-Up
If you currently have an AI workflow in production or pilot, ask your team one question: “What is the system explicitly authorised to do below a certain confidence score?”
If you can’t find that answer in writing within 10 minutes, your boundary isn’t set.
If you’d like to stress-test that workflow before an edge case does it for you, let’s run a 30-minute boundary review: mattsheehan@spatialnext.io