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AI Agents for Grocery and Supermarket Chains: What FMI's 2026 Data Says Is Actually Slowing Adoption Down

FMI's 2026 State of Technology report finds grocery AI adoption has gone mainstream (68%, up from 47%), but fewer than a third of food retailers have a defined change-management plan for it. Here's where AI agents are actually landing on the shelf, and why the investment isn't fully paying off yet.

4 min read
Two felt puppet characters working together in a grocery store aisle, one holding a tablet with an abstract bar-chart dashboard, the other restocking a shelf of plain unlabeled boxes.

Grocery executives have mostly stopped arguing about whether to invest in AI. The harder question now is what to do with the investment once it's made.

According to FMI — The Food Industry Association's 2026 State of Technology report, technology adoption across the retail food industry is "accelerating," and the question that matters most "is no longer whether organizations are investing in technology but rather whether they're prepared to turn those investments into measurable business value." Per Grocery Dive's coverage of FMI's research, 68% of food retailers now report using AI, up from 47% a year earlier, and 59% specifically use generative AI, up from 43%.

Where AI Agents Are Actually Running

The use cases are concrete, not speculative. FMI's Food Retailing Industry Speaks 2026 report found retailers implementing AI for "operational assistance, including with assortment planning and loss prevention," while suppliers now spend a greater share of revenue on technology (3.3%) than retailers do (1.9%) — 83% of suppliers expect to increase technology investment in 2026. Grocery Dive's reporting adds that food traceability adoption is moving fast too: just 17% of retailers used traceability tech last year, with 31% planning to add it in 2026, and almost a fifth of retailers now think conversational or agentic AI will change how people shop for groceries altogether.

That sits alongside a broader omnichannel shift FMI has tracked for years: 80% of food retailers now offer online sales, up from roughly 50% before the pandemic, and 94% of shoppers buy groceries both online and in-store. Within the store, 82% of retailers are actively experimenting with in-store technology to improve the shopping experience.

Organizational Readiness, Not Investment, Is the Real Bottleneck

This is the part FMI's own research keeps surfacing as the real constraint. Writing about the 2026 State of Technology findings, FMI's Jennifer Shawgo, Senior Director of Technology Strategy & Programs, put it directly: "fewer than one-third of food retailers report having a defined change-management plan for the technologies they are deploying, including AI." The report's throughline, in her words, is "the tension between the industry's demonstrated ability to adopt technology and its continued struggle to build the organizational infrastructure required to make it work" — trusted data, integrated systems, clear governance, aligned teams, and change management.

Her prescription isn't to slow down, but to narrow the question: identify one signal, one business need, and one next action, then ask who owns the work, what data it requires, whether that data is trusted, and how success will be measured. That's a notably more disciplined framing than "roll out AI everywhere at once" — and it tracks with what FMI found elsewhere in the same research cycle: 90% of retailers reported negative impacts from trade and tariff disruption in 2025, and two-thirds cited supply chain challenges, meaning the organizational bandwidth to manage a sprawling AI rollout is genuinely constrained by everything else going on.

The Economics Make the Stakes Clear

Food retail is not a business with room to waste technology spend. Per FMI's July 2026 analysis, industry profit margins remained thin in 2025 at 2.1%, and roughly 11% of food retailers posted losses outright. Credit and debit cards now represent 81% of all sales, a new high, which raises the stakes on fraud and payment-processing automation specifically. Against that backdrop, an AI investment that doesn't get fully adopted — because nobody owns the rollout, or the underlying data isn't trusted — isn't a minor inefficiency; on 2.1% margins, it's money the business can't easily absorb twice.

What This Means for Grocery and Supermarket Chains Going Forward

The adoption race in grocery is effectively over — most chains are already using AI somewhere. The real differentiator over the next year is which chains build the boring infrastructure underneath it: a named owner for each AI use case, a data-quality baseline the team actually trusts, and a way to measure whether assortment planning, loss prevention, or traceability automation is paying off. FMI's own framing is the right one for any grocery or supermarket operator sizing up where to start: pick one signal, one business need, one next action — not an everything-at-once mandate that nobody is actually equipped to run.

Frequently Asked Questions

How many grocery retailers are actually using AI in 2026? 68% of food retailers report using AI, up from 47% a year earlier, and 59% specifically use generative AI, according to FMI's Food Retailing Industry Speaks 2026 research as reported by Grocery Dive.

Where is AI actually running in grocery operations today? FMI's own research points to assortment planning, loss prevention, and growing use in food traceability — traceability tech adoption is set to nearly double, from 17% to 31%, in 2026.

What's actually slowing grocery AI projects down? Not budget or willingness — organizational readiness. FMI's 2026 State of Technology report found fewer than one-third of food retailers have a defined change-management plan for the technology they're deploying.

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