Thank-yous at the drive-thru window drop 23.9 points when AI takes the order

Starbucks posted the highest order accuracy, one of the most notable results in this year's study. QSR produces the 2026 QSR Drive-Thru Report, its 26th annual look at the industry, together with Intouch Insight.

Fewer lanes, more finished orders

According to QSR Magazine, Intouch Insight dispatched shoppers to 120 targeted locations across three brands confirmed to use AI: Burger King, Taco Bell and Wendy's. Those visits produced 95 AI interactions. Shoppers also came across AI 79 times without deliberately looking for it, with McDonald's added to the mix, which brought the full sample to 174 AI engagements. Among the voice AI encounters shoppers recorded, AI completed the entire order or engagement 40 percent of the time, up from 20 percent. Interactions limited to an AI greeting and then an immediate handoff to an employee dropped from 70 percent to 50 percent.

Shoppers ran into AI at roughly the same rate as before. At Wendy's, mystery shoppers found voice AI on 13 percent of visits in 2026, compared with 12 percent in 2025. Taco Bell's rate was 21 percent, down from 27 percent the year before, while Burger King held about steady at 3 percent versus 4 percent. Across the brands, the combined rate was 12.5 percent, against 14.1 percent last year. Sarah Beckett, VP of sales and marketing at Intouch Insight, told QSR that the year's biggest shift was in what the technology can do after it engages. Where it is installed moved far less.

The mystery-shop rate only shows which lanes shoppers happened to reach. The more useful signal for a buyer is depth: how much of the conversation the system now handles once a car pulls up.

The last two figures cut against the first two. Accuracy and satisfaction went up, yet the share of guests who found the system hard to use nearly tripled. Beckett's reading was that voice AI is getting better at completing transactions, and that this hasn't yet made the guest experience smoother across the board. For a technology lead comparing vendors, that suggests completion rate and ease of use belong on the scorecard as separate measures.

The quiet window

The hospitality gap follows a specific pattern. Behaviors that require an employee to actively speak dropped sharply when AI was present. Passive physical behaviors held steady or rose slightly. QSR's interpretation is that once AI has handled the ordering conversation, employees treat the window as a transaction, because the talking has already happened. The magazine called it a people-management issue that technology amplifies.

The way AI is deployed appears to make a difference. Satisfaction reached 92.6 percent at restaurants built around AI, where the technology took 81 percent of orders from start to finish.

Weak greetings predate the robot

The strongest objection to blaming AI comes from Intouch Insight's own counter research. Its 2026 QSR On-Premises Study looked at ten leading QSR brands. It found that 27.9% of guests weren't greeted and 27.4% received no parting remark. No voice AI was involved. Greetings and closings that cost nothing but intention were already inconsistent at the counter, which indicates the drive-thru gap is an existing habit that AI makes easier to see.

Operators appear to agree on where the problem sits. Qu's 2026 State of Digital & Beyond Report surveyed 168 QSR and fast casual brands across more than 94,000 locations. It found 73% of brands investing in AI now or planning to start within the year. Among brands already investing, only 9% reported meaningful or transformational impact. Asked what is blocking a better guest experience, 55% named operational execution, 37% fragmented systems and data, and 29% labor turnover and retention. Qu also found that QSRs put more of their AI money into front-of-house tools such as voice ordering and drive-thru computer vision.

There's one limit on the read. QSR has said earlier years' AI samples were too small to mean much, and 174 engagements is still modest for splitting results by brand.

Names, bags and the feeling of speed

The rest of the report shows what that window moment is worth. When guests got some kind of personal touch, satisfaction rose to 98.2% from 93.2%. Examples included a greeting by name, a name written on the order bag, or recognition as a loyalty member. The study also found that how fast a visit feels can count for more than how long it actually takes. Satisfaction reached 96.8% among customers who thought their visit moved faster than they expected, versus 82.3% among those who thought it ran slower than expected.

Both are things the window employee controls, and both depend on the verbal engagement that fades under AI. A crew that greets by name and keeps the guest informed shapes the perception that drove the larger satisfaction swing. That could matter more while traffic is soft. Placer.ai's May 2026 Dining Index, by Ezra Carmel, found that drive-thru activity showed signs of weakness, with short-duration visits declining across both QSR and fast casual chains, and said this suggests elevated fuel costs continue to influence dining behavior.

According to the release, Danny Klein, who serves as VP Editorial across PMQ, QSR, FSR, CStore Decisions and Club + Resort, said the new results show that technology cannot fix the problem by itself. In his view, operators need to weigh fast operations and correct orders against the human rapport that brings guests back again and again. Future editions of the report could reveal whether restaurants manage to strike that balance. Should the full-order share rise past 40% while the thank-you gap shrinks, this year's numbers will have captured crews partway through adapting. Should the gap stay put or grow, the work at the window has itself shifted, and the training script would need to shift with it.