He gives one example…
Here’s another. I’m on a road trip and I’m getting tired. I pull off to head to the hotel. Figure I’ll stop to get gas so I can get going in the morning. After filling up, the car won’t start because it detects I’m too drowsy to drive. Guess I’m walking to the hotel. Hoping when the person who works inside the station shows up in the morning he doesn’t tow the car(many stations are ‘open 24/7’ but only pumps. The store has different hours).
Best case that situation might just be annoying if the hotel is a block or two over from the station but could also be expensive if your car is towed to free up the gas stations pump that you’re blocking. Adding some more variables makes it worse. I routinely make a drive in winter through northern states where it might be -20F(-29C) in certain parts of it. That kind of changes things.














You didn’t read the article. The answer is simple. It won’t, because it’s not being used for airspace control.
The article isn’t clear but based on the examples it might not be used for ‘real time’ operations at all. It’s being used for flight scheduling to make sure there aren’t more planes inbound than there are runways for a given time period and other such problems weeks in advance.
I still don’t agree with it given AI’s track record but it isn’t the dire situation you described either.