That's a math conclusion so lets show our work
Minimum wage is $16/hr in California + employee overheard so lets say $25/hr. With 3 people covering shifts at the drive thru, that's $219k per year.
Now for this system, lets look at off the shelf retail API prices to get a conservative guess. $0.006/min or $8.64 per 24 hours to listen & transcribe the customer, then add TTS + GPT-4o for $50 per million tokens in and out (thats way more than they need for a day). So that's $21k per year.
So back of the napkin math says it's 10x cheaper to implement this system. Unless you're referring to the corporate R&D budget.
The part that you can get an AI to do, you can just as easily outsource to Indonesia or somewhere.
There have been tons of articles recently about how rising fast food prices are causing people to consider it a "luxury", and a huge part of those rising prices are rising wage costs. Where I live all the McDonald's now have kiosks inside for orders and fewer cashiers. I absolutely think shaving labor costs is something all fast food joints are interested in.
I do agree with the other comment that drive-through workers multitask (scooping fries, filling drinks, etc.), so I'm not sure how much savings you'll get just from order automation.
Labor costs at every segment in the supply chain are a factor. Warehouse workers, truck drivers, produce producers, ect. The price of everything that McDonald's (and everyone else) uses is higher in part because of these greatly increased labor costs across the board.
It's the usual greed.
[0] https://www.macrotrends.net/stocks/charts/MCD/mcdonalds/gros...
The point is that you can hire real live humans for not that much money.
"Two double quarter pounders with cheese" will either be two quarter pounders with cheese, or one double quarter pounder with cheese. With humans I have to order "a double quarter pounder with cheese", wait for them to enter it, then "another double quarter pounder with cheese".