One in Four Restaurants Now Uses AI: What the NRA's 2026 State of the Industry Report Reveals

For years, the restaurant industry talked about artificial intelligence as something arriving in the future. The National Restaurant Association's 2026 State of the Restaurant Industry report, released in February, puts a number on how much of that future has already arrived: 26% of operators are now using AI-related tools in their businesses.

That's one in four restaurants. Not tech-forward pilot programs. Not corporate innovation labs at billion-dollar chains. One in four operators across the industry's full spectrum, from independent diners to national QSR chains, is running some form of AI today.

The shift is significant, but the details of where AI is actually being used tell a more complicated story than the headline suggests.

Marketing Leads, Orders Trail

The NRA report reveals a sharp gap between AI's most popular applications and the ones that generate the most press coverage.

Marketing is the leading AI use case across both restaurant segments. Among full-service operators, 19% are using AI for marketing purposes. Among limited-service operators, it's 15%. These figures cover a range of activities: AI-assisted email campaigns, social media content generation, customer segmentation tools, loyalty program personalization, and promotional offer optimization.

Administrative tasks come in second. About 10% of operators are using AI to handle back-office work: scheduling assistance, vendor communications, accounting support, HR documentation.

Then comes the number that should give pause to anyone who has been tracking the voice AI story: only 6% of operators are using AI for customer orders.

Six percent. Despite years of announcements, pilots, and vendor promises about AI-powered drive-thrus and AI ordering kiosks transforming the customer experience, the actual installed base of AI ordering remains at a fraction of overall AI adoption. And AI adoption itself is at 26%.

That's not a dismissal of voice AI's potential. Yum Brands has processed more than 2 million drive-thru orders via AI voice systems across 300-plus Taco Bell locations. SoundHound AI and Acrelec are partnered on a global rollout of voice-enabled drive-thru systems. Presto raised $10 million in early 2026 specifically to scale voice AI deployments. The technology is real and it is moving.

But it hasn't reached mass adoption yet. The operators who are using AI today are mostly using it to write better marketing copy and automate administrative paperwork, not to replace order-takers at the front counter.

The Investment Intentions Are More Aggressive

If current adoption tells one story, forward-looking investment intentions tell another.

The NRA found that 60% of operators plan to invest more in technology for customer experience over the coming year. More than 50% plan to increase investment in front-of-house productivity technology. Just under half plan to expand back-of-house tech investment.

These are not marginal numbers. A majority of the industry is actively planning to spend more on technology in 2026, and customer-facing tech is the top priority.

The context matters here. The restaurant industry is projected to reach $1.55 trillion in total sales in 2026, according to NRA estimates. But revenue growth is happening alongside sustained cost pressure: labor costs remain elevated, food commodity prices are volatile, and consumer spending has become more selective after years of inflation. The NRA report itself frames technology as an "essential asset" for operators managing this squeeze.

A BusinessWire analysis from March 2026 noted the dynamic directly: restaurants are boosting AI and tech investment amid margin pressure, but operational gaps persist. The gap between intent and implementation is still wide.

Where the Capital Is Actually Moving

Beyond operator surveys, the investment activity in restaurant technology gives a clearer picture of where the industry's money is going.

Chipotle and Cava together put $25 million into Hyphen, a startup building automated meal production lines. Hyphen's systems are designed to handle the repetitive, high-volume assembly work in food preparation, particularly for bowl-format concepts where portion consistency and speed are critical. Both chains have been explicit that this is about back-of-house throughput, not front-of-house novelty.

The drive-thru remains the biggest technology battleground for QSR specifically. Yum Brands' Taco Bell rollout is the most documented at scale: AI voice handles order-taking, handles upsell prompts, and connects to the point-of-sale system without human intervention. At 300-plus locations, that's a real operational footprint, not a test.

SoundHound's partnership with Acrelec is aimed at a broader market. Rather than a single-brand solution, the two companies are building infrastructure that franchise operators across multiple chains can deploy. That model, if it scales, would likely accelerate the 6% ordering AI figure more quickly than chain-by-chain proprietary builds.

Presto's $10 million raise signals continued investor conviction in voice AI even after the company's turbulent 2024 and 2025, when it lost major chain contracts and underwent leadership changes. The bet is that the technology has matured enough to deliver the reliability operators actually need.

Consumer Appetite Is Ahead of Operator Deployment

One of the more striking data points in the NRA report involves consumer attitudes. Among millennials and Gen Z customers, 60% said they would order from an AI bot.

This matters for a specific reason: the conventional hesitation about AI ordering has often been framed as a customer acceptance problem. The assumption was that customers would push back, that older demographics would balk, that something would be lost in the human interaction.

The data suggests the customer acceptance hurdle may be lower than many operators assumed. Among the two largest consumer cohorts by size and spending, willingness to use AI for ordering is already at 60% without any prior adoption experience. Once a meaningful share of customers have actually placed orders via AI at some location, that willingness figure will almost certainly go higher.

The constraint on drive-thru AI adoption appears to be operational, not attitudinal. Accuracy rates, system integration complexity, handling of customization requests, fallback protocols when AI fails: these are the friction points operators cite in deployment conversations, not customer reluctance.

What 26% Actually Means

The jump to one in four restaurants using AI tools is genuinely significant, but it requires some contextual grounding.

The 26% figure almost certainly skews toward chain operators, multi-unit franchisees, and higher-revenue independents. Small independent restaurants with thin margins and limited IT infrastructure have far fewer resources to evaluate and adopt AI tools, regardless of category. The NRA surveyed a broad sample, and the full-service/limited-service breakdown in the report reflects the real diversity of the industry, but adoption rates across the industry are not uniform by size.

The leading use case, marketing AI, also has a lower barrier to entry than operational AI. Subscribing to an AI writing tool for email campaigns or running a loyalty platform with AI-powered segmentation requires less infrastructure investment, less operational disruption, and less staff retraining than installing an AI voice ordering system in a drive-thru lane. The 26% adoption figure includes a large number of operators who are using relatively accessible consumer-facing AI products rather than purpose-built restaurant operations technology.

That isn't a criticism of the trend. Getting to 26% is real progress, and marketing AI is delivering measurable value for operators who use it effectively. But it's a useful distinction when evaluating what "AI adoption" actually means on the ground.

The 6% customer ordering figure, by contrast, represents the harder implementation work: purpose-built systems, hardware integration, staff training, fallback protocols, and tolerance for the reliability issues that still affect voice AI in noisy drive-thru environments. Getting from 6% to something approaching majority adoption in that category will require both continued technology improvement and more operators developing the operational capacity to run these systems.

The Bigger Picture

The NRA's 2026 report lands at a specific moment for the industry. Revenue is at a record projected level. Profitability is under serious pressure. Operators who made it through the pandemic years, the labor cost surge, and the inflation cycle are now managing a consumer base that is more value-conscious and more selective about where they spend.

Technology investment, in that context, is not an innovation story. It's an efficiency story. Operators are not investing in AI because it's exciting; they're investing because labor costs are their largest controllable expense and because customers increasingly expect speed and consistency that human-only operations struggle to deliver at scale.

The 60% of operators planning customer experience tech investment are not chasing novelty. They are trying to do more with the same labor headcount, or better quality with fewer errors, or faster throughput without adding capacity costs.

That framing matters for how the industry will actually develop over the next 12 to 24 months. AI in restaurants is not primarily a story about futuristic technology. It is a story about operational economics, and the operators who treat it that way are the ones most likely to generate real returns on their technology spending.

The 26% who are already there are a leading indicator. The 60% planning further investment are the wave behind them. Where it lands, and whether the current operational gaps narrow quickly enough to meet operator expectations, will define the technology story for the industry through the rest of the decade.

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Source: National Restaurant Association, 2026 State of the Restaurant Industry Report (February 2026); BusinessWire, "Restaurants Boost AI and Tech Investment Amid Margin Pressure, But Operational Gaps Persist" (March 19, 2026).