Yum! Brands Finds AI Cuts Drive-Thru Tension, Boosts Retention

While public debate over artificial intelligence has increasingly centered on data centers, energy demand and job displacement, Yum! Brands is measuring something narrower and more personal: how the technology feels to a crew member working a Friday night shift at Taco Bell.

Erika Burkhardt, the fast-food giant’s chief legal officer and corporate secretary, said the company has found that deploying AI in drive-thru ordering is making frontline jobs easier and improving worker retention. The observation was made at the Fortune Most Powerful Women Summit in Santa Barbara, California, during a conversation about how corporate leaders are reconciling employee-facing technology with a public increasingly skeptical of AI’s expansion.

“I’m seeing all the data center noise and all the things that people worry about with AI, and there’s that constant tension,” Burkhardt told Fortune Editorial Director Kristin Stoller. “One of the things that we’ve learned through the drive-thru experience is that AI is actually increasing retention among our team members in the restaurant because it’s making their jobs easier. It’s taking away the tension points of the ordering process.”

The retention finding cuts against a common narrative in which automation is purely a headcount tool. In Yum! Brands’ case, the company says the technology functions as a work simplifier: by handling repetitive ordering inputs, it lets staff concentrate on food quality and customer interaction. That framing matters for a labor market where quick-service restaurants have struggled with high turnover.

AI in the fast-food drive-thru has been an experiment of uneven quality. Last year, a Taco Bell customer exploited the automated system by ordering 18,000 cups of water, an incident that became a cautionary tale about voice-ordering platforms before they had matured. The company nonetheless continued to scale. In July, Taco Bell expanded its use of Omilia Voice AI to nearly 900 locations, according to Burkhardt.

“The important thing for us is to keep in mind that that’s a learning process,” Burkhardt said. “And that makes us better.”

DoorDash has taken a different architectural approach to the same problem, one designed to sidestep the debate rather than answer it. Elizabeth Jarvis-Shean, the company’s chief corporate affairs officer, said the delivery platform’s AI tool, Dash Buddy, is woven so deeply into the Dasher workflow that its use becomes routine rather than exceptional. The feature delivers real-time answers to new Dashers, and Jarvis-Shean said it resolves roughly 95% of questions as they arise.

The distinction is deliberate. “AI is just embedded within the product versus having a conversation, which is a little bit different like, ‘Hi, we’re excited that you’re interested in dashing. Here’s an AI tool to help you do it,'” Jarvis-Shean said. “It should just be easier and better.”

That embedding strategy reflects a broader pattern among corporations currently racing to find practical AI use cases amid heavy investment in infrastructure. The tension between the public’s concern over AI buildout and private-sector enthusiasm for its productivity gains is now a recurring theme in executive discussions.

At Arm, the semiconductor firm, Ami Badani, the company’s chief marketing officer, said she is already observing a measurable speedup in corporate communications and how quickly the firm responds to moves by industry competitors. “I think it’s just going be additive and help with human productivity and allow us to do things that we probably weren’t able to do before,” Badani said.

What remains untested at scale is whether the employee-side benefits Yum! Brands and DoorDash describe can withstand a public that is increasingly questioning whether AI’s gains justify its social and environmental costs. For now, the companies are proceeding on the belief that the technology’s value is visible in daily operations rather than in the policy debate.