Pull up to a fast food speaker in the United States today and there is a real chance the voice asking what you want is not a person. AI drive-thru ordering has moved out of quiet pilot programmes and into thousands of restaurant lanes, changing one of the most familiar routines in modern food service.
The idea is not new. What makes 2025 and 2026 different is scale: the same chains that were testing a handful of speakers three years ago now run voice AI across hundreds of restaurants — and a few of them have publicly stumbled while doing it.
How does AI drive-thru ordering work?
An AI drive-thru system listens through the speaker microphone, converts your speech to text, and passes it to a language model that maps what you said onto that restaurant’s live menu. It shows the order on the confirmation screen, sends it to the kitchen display, and hands the conversation to a human employee when it gets stuck.
Under the hood there are three separate jobs stitched together:
- Speech recognition tuned for a noisy outdoor lane — idling engines, wind, passengers talking, rain on the canopy.
- Language understanding that has to cope with slang, mid-sentence corrections and “actually, make that two.”
- Point-of-sale integration that knows which items are in stock at this specific store, at this hour, at this price.
A drive-thru AI is not one model but a pipeline: hear, understand, price, and only then cook.
The hardest part is rarely the vocabulary. As Omilia CEO and co-founder Dimitris Vassos put it when describing the problem, “The drive-thru environment is one of the most demanding, real-time, noisy, fast-paced, with menus that change by store and by day.”
Which fast food chains use AI at the drive-thru?
Taco Bell, Wendy’s, White Castle, Dairy Queen and Zaxby’s all run voice AI in at least part of their drive-thru estate. Taco Bell has the largest confirmed deployment: it and its technology partner Omilia had voice AI live in more than 890 US restaurants across 38 states as of July 2026.
- Taco Bell (Yum! Brands) — partnered with Omilia in 2023 and expanded to 890-plus US restaurants in 38 states, according to Restaurant Dive. Yum separately announced a partnership with Nvidia in March 2025 covering roughly 500 restaurants.
- Wendy’s — its FreshAI system was built with Google Cloud and first tested in Columbus, Ohio in 2023, with plans announced to reach 500 to 600 locations by the end of 2025.
- White Castle — runs a voice assistant called Julia, built with SoundHound AI, which the two companies said had expanded past 100 US drive-thru lanes. Samsung later joined to supply AI-enabled dynamic menu boards.
- McDonald’s — tested AI ordering with IBM and ended that particular pilot in 2024, while continuing broader AI work with Google Cloud.
The pattern across all of them is the same: start in one metro area, prove the handoff to staff works, then scale by franchise group rather than all at once.
How accurate is AI at taking drive-thru orders?
Accuracy depends almost entirely on how customised the order is. Chains report strong results on straightforward orders — SoundHound and White Castle have cited roughly 90% order completion without staff intervention, with the average order taken in a little over 60 seconds. Heavily modified orders still get routed to a human.
Speed numbers have been more consistent than accuracy numbers. Google Cloud reported that Wendy’s drive-thru AI shaved 22 seconds off service times at the Columbus test site compared with the local market average.
The failures have been just as public. In August 2025, Yum slowed its rollout after customer complaints, including a widely shared clip of someone deliberately ordering 18,000 cups of water to break the system. Taco Bell kept investing anyway and expanded through 2026 — a reasonable signal that the internal numbers were better than the viral ones.
The honest summary: the drive-thru is close to a solved problem for a plain cheeseburger and an unsolved one for a cheeseburger with six modifications. No major chain has yet published an independently audited accuracy figure.
What else the AI is doing while you order
Order-taking is the visible part. The same systems are usually wired into several other things at once:
- Consistent suggestive selling — the AI offers the drink or the side every single time, which a tired employee on a double shift does not.
- Demand forecasting — order data feeds prep decisions, so the fryers are loaded before the lunch rush rather than during it.
- Lane computer vision — cameras count cars and time each stage of the queue, giving managers a defect-level view of where the bottleneck actually is.
- Staff redeployment — with the headset off, the employee who used to take orders works the window or the kitchen.
It is worth noting that most of these benefits are company-reported rather than independently verified. Restaurant technology claims tend to be published by the vendors selling the technology.
Does AI drive-thru ordering cost jobs?
So far the evidence points to reassignment rather than removal. Wendy’s told investors in February 2025 that its technology investments improved labour efficiency enough to add roughly 80 basis points to company-operated restaurant margins. Taco Bell and Omilia have said restaurants using voice AI reported higher employee retention, not lower headcount.
That said, margin gains of that kind eventually show up as slower hiring somewhere. If you want the broader picture, we looked at the data on this in Will AI Replace Entry-Level Jobs? What the Data Says.
What this looks like outside the United States
Drive-thru density is highest in the US, Canada, Australia and the UK, which is why almost every large voice AI deployment so far has been North American. In markets where drive-thru lanes are rarer — much of India, continental Europe and East Asia — restaurant AI tends to surface in different places: phone-order handling, delivery app chat, kitchen demand forecasting and review management.
The gating factor for a global rollout is not the menu logic; it is accent and language coverage. A system trained mostly on North American English has to be retrained, not merely translated, before it can handle a lane in Manchester, Melbourne or Mumbai. Restaurant operators in those markets often get more immediate value from customer-facing AI elsewhere — for example, using AI to reply to Google reviews.
Should a small restaurant care?
Probably not for the drive-thru itself. Voice AI at the speaker only pays for itself at volume, with tight point-of-sale integration and a franchise-scale support team behind it. An independent restaurant will get more from AI applied to forecasting, scheduling, and responding to customers online.
The bigger takeaway is directional. The drive-thru is the first place where most people in the US will have a routine, unremarkable, transactional conversation with an AI system — not because it is impressive, but because it is boring enough to work.
Frequently Asked Questions
Can I ask for a human at an AI drive-thru?
Yes. Every major deployment includes a handoff to a staff member, and most trigger it automatically when the AI is uncertain or the order gets complicated. Saying you would like to speak to a person is normally enough.
Which chain has the biggest AI drive-thru rollout?
Taco Bell, working with Omilia, had voice AI in more than 890 US restaurants across 38 states as of July 2026. Wendy’s and White Castle run smaller but established deployments.
Does AI drive-thru ordering actually make service faster?
In tested locations, yes — Google Cloud reported 22 seconds saved per order at a Wendy’s test site versus the local market average. Gains are largest on simple orders and shrink or reverse when the order needs heavy customisation.
Does the AI handle accents well?
Unevenly. Systems are trained heavily on the accents present in their deployment region, so performance drops outside it. This is one of the main reasons voice AI has scaled in North America first rather than globally.
Is the drive-thru AI recording my conversation in the car?
The microphone captures audio at the speaker to process your order, and chains say that audio is used to fulfil and improve orders. Data handling varies by company and jurisdiction, so check the specific chain’s privacy policy if it matters to you.
