How AGI Could Stir Up the Beverage Industry

Picture a bad week for a supply-chain planner at a big drinks company. Maybe a sweetener supplier comes up short or a heat wave spikes demand in a region. A bottling line goes down. She calls suppliers, reworks production schedules, books trucks, and decides which stores get shorted. A job like hers involves frequent judgment calls made under pressure.

Today's AI helps with pieces of that week, like forecasting demand or simulating a factory. Artificial general intelligence (AGI) is AI that could match a skilled worker across most jobs. It would take the whole assignment, adapt when the plan breaks, and see it through without someone checking every step. Nothing in beverages works that way yet, but each improvement in today's AI agents -- software that can carry out multistep tasks on its own -- moves companies along that path.

Selling to 4 Million Corner Shops

Anheuser-Busch InBev (NYSE:BUD) operates BEES, a digital commerce and sales platform used by more than 4 million retailers. Retailers place orders through BEES, while sales representatives use related tools to recommend orders and manage accounts. An AGI account manager could handle everything from taking orders to following up with thousands of shops, while human reps keep the accounts that need a handshake.

Coca-Cola FEMSA (NYSE:KOF), the largest Coke bottler, runs a smaller version of the same idea. Retailers will get the same intelligence. A shop's purchasing agent could compare BEES offers with rival distributors in seconds and push harder on price.

The Planner and the District Manager

PepsiCo (NASDAQ:PEP) uses digital twins, software copies of a factory built with Siemens (OTC:SIEGY). The twins let AI test changes before anyone touches a machine. Today's twins answer questions about individual plants. An AGI planner would own the whole problem from the opening scene: resourcing the sweetener, shifting production among plants, and steering inventory toward stores likely to sell out. It would still need working sensors, machinery, and people.

At Starbucks (NASDAQ:SBUX), the same leap applies to a district manager dealing with a barista out sick and a broken espresso machine. If you've ever covered a shift on an hour's notice, you know how much of that job is juggling.

Starbucks retired its automated inventory counter in May 2026. The tool had reached more than 11,000 North American stores, and it confused similar milk types and forced baristas to recheck scans. A digital operations manager would handle schedules, supply orders, and repair tickets across stores. That would free human managers to spend more time on the floor.

Inventing the Next Drink

Flavor house Givaudan (OTC:GVDNY) uses AI to identify the flavor notes people like and to generate product ideas. People still connect those steps. A generally capable research system could notice interest in less-sweet drinks in one market and propose a formula. It could also schedule consumer panels and estimate production costs with bottlers.

The same capability would reach a five-person start-up using contract manufacturers and cheap AI marketing. That's good news for challengers and complicated news for Coca-Cola (NYSE:KO) and Diageo (NYSE:DEO).

How the Companies Compare

We evaluate each company on three factors: what it has demonstrated with existing AI, how much additional value AGI could create, and how much of that value it could retain as profit.

Best Positioned indicates the strongest combination of evidence, opportunity, and competitive advantage. Promising indicates meaningful potential with important limitations. Speculative/Mixed means the benefits and disruption risks are particularly uncertain. Most Vulnerable identifies the company facing the weakest balance of potential benefits against risks.

These classifications concern how well-prepared companies are to benefit from AGI, not whether the stocks are attractively valued today.

Anheuser-Busch InBev

BEST POSITIONED

AB InBev's evidence so far is operational. It says reps using BEES serve 15% more stores, and frontline costs as a share of net revenue have fallen by a third. It hasn't specified the periods for those figures. That points to one potential benefit of AGI. An AGI account manager could let AB InBev serve more shops without adding selling costs at the same pace.

Another potential payoff is the platform itself. BEES handles about $60 billion a year in gross merchandise volume (GMV), the total value of goods ordered through it. BEES Marketplace, which carries other manufacturers' products, generates about $5 billion in annualized gross merchandise volume.

Marketplace operates in two ways. AB InBev can buy and resell partner products through its own distribution routes. Alternatively, partners can use BEES to digitize routes they operate themselves. That second, more capital-light model now represents over half of Marketplace GMV. AB InBev says Marketplace is a major contributor to its earnings growth, but it doesn't separately disclose Marketplace revenue or margins.

AGI could make both models more productive, allowing BEES to automate commercial relationships beyond AB InBev's beer network. Retailers' purchasing agents could pressure pricing in return. Still, its established retailer relationships, transaction insights, and growing platform adoption give AB InBev the strongest combination of demonstrated readiness and potential profit capture on this list.

Starbucks

PROMISING

Starbucks reports improved service times where it deployed Smart Queue, its order-sequencing system, alongside changes in staffing and service processes. The improvement cannot be attributed to AI alone. In mid-2025, CEO Brian Niccol said about 80% of in-café orders were handed off in under four minutes where the system was deployed.

Starbucks runs about a third of its 41,304 stores directly. Those company-operated stores would capture most of the direct operating benefits from a digital operations manager, while partners run the licensed stores.

Management is reinvesting in service. North America comparable transactions, the count of purchases at company-operated stores open at least 13 months, rose 4.5% in the fiscal third quarter. If more capable AI makes Starbucks staff smarter while service drives visits, that reinvestment could earn a good return. Its opportunity is promising, but results depend on translating better operations into lasting store profitability.

Coca-Cola

PROMISING

AGI could help Coca-Cola develop new drinks, bring them to market, and sell them. Because bottling partners handle most of its manufacturing and distribution, Coca-Cola could do much of this without investing in new factories.

The company also has some advantages to build on: powerful brands and more than 25 million data records collected through its 2026 World Cup marketing campaigns (though those records don't necessarily represent 25 million different people). Its comparable operating margin, which excludes certain items, was 35.6% in the second quarter of 2026.

Faster development still carries launch costs, depends on bottlers committing production, and invites rivals to copy hits. Shopping agents could favor trusted brands or buy based on price. Coca-Cola's established brands and capital-light economics make the potential opportunity considerable, but it has disclosed relatively little measurable AI benefit so far.

PepsiCo

PROMISING, WITH CONSTRAINTS

PepsiCo reported a 20% increase in production at one U.S. Gatorade plant in about three months. The company estimates that digital twins could also reduce capital spending by 10% to 15%, though it hasn't said how widely those savings might apply.

PepsiCo operates its own North American bottling facilities alongside independent bottlers and contract manufacturers. That gives it substantial control over parts of its production network, although implementing an AGI planner's decisions across the broader system would also require coordination with partners. The company expects capital spending to remain below 5% of net revenue in 2026, making improved capital efficiency meaningful.

With North America beverage volume falling, additional capacity might be more valuable for avoiding future investment or consolidating production than for increasing sales. Rivals can buy similar twin technology, so PepsiCo's demonstrated productivity gains make it promising, but demand and imitation constrain the potential payoff.

Siemens

PROMISING

Technology supplier Siemens' evidence is different because it already sells industrial software. Software was the largest contributor as its Digital Industries segment margin rose to 18.7% from 14.5% a year earlier in its fiscal third quarter. That segment serves factories across many industries, and beverage-specific revenue is undisclosed.

If AGI arrives, Siemens could sell software for increasingly autonomous plant operations and earn from deployments across many manufacturers. It has a credible path to commercialization and value capture, but beverages represent only a small, unquantified part of that broader opportunity.

Coca-Cola FEMSA

PROMISING

In Mexico, Coca-Cola FEMSA's Juntos+ ordering platform accounted for 19% of the territory's revenue in the second quarter of 2026, according to management. Its AI sales advisor reaches more than 70% of its sales force in Mexico and Brazil. Exclusive territories and owned trucks make those commercial relationships durable. It buys concentrate, the syrup base for its drinks, from Coca-Cola, so the two companies share the system's economics.

Its territories also limit expansion through existing franchise rights. Coca-Cola FEMSA has a credible foundation for autonomous commercial operations, but its scale and growth opportunities are narrower than AB InBev's.

Givaudan

SPECULATIVE/MIXED

Givaudan's question is whether AGI makes its proprietary data more valuable or its expertise easier to replicate. The company has spent decades developing sensory research and formulation expertise, including proprietary data sets that could improve autonomous product-development systems. Capable AI could also help customers and AI-native formulators, start-ups that design recipes with AI from the start, perform more of that work themselves.

Sales at Givaudan's Taste & Wellbeing division rose 1.5% in the first nine months of 2026, excluding the effects of currency fluctuations and acquisitions. That figure reflects current business conditions, not AGI's eventual value. The opportunity could be substantial, but there is little evidence yet about who would capture the benefits of autonomous formulation.

NIQ Global Intelligence

SPECULATIVE/MIXED

NIQ Global Intelligence (NYSE:NIQ) sells retail sales data to brands. Management reported 34% growth in revenue from AI-native solutions in the second quarter of 2026. Its cross-retailer data covers information that no single route owner necessarily sees. If brands' AI agents need trusted market intelligence, NIQ could become an important data provider.

Other companies can generate proprietary demand signals, too. AB InBev says first-party data from its direct-to-consumer businesses can help it detect demand trends two to five weeks ahead of consumer-goods companies relying on shipment data. That information is distinct from the retailer-order data generated through BEES.

Meanwhile, AI could automate some analytical work currently performed by teams buying NIQ's services. NIQ has an existing AI-related revenue opportunity, but it also faces the possibility that increasingly capable systems undermine parts of its traditional business.

Diageo

MOST VULNERABLE

Whisky must age for years, and AGI won't change that. Better long-range forecasting could help Diageo decide how much spirit to lay down today for demand years out. Over time, better decisions could reduce excess aging inventory and shortages of popular products.

In much of the U.S., Diageo sells through independent distributors rather than directly to retailers, adding intermediaries to commercial execution. The company also hasn't broken out financial returns from its 2022 flavor-mapping acquisition. Cheaper AI marketing helps challengers in a crowded category.

Diageo has plausible operational applications for more capable AI, but less demonstrated progress and fewer clearly defensible ways to capture AGI's economic benefits than the other companies considered. That makes it the most vulnerable in this comparison.

Where Do the AI Savings Go?

None of these companies separately reports how much profit existing AI initiatives generate. Their broader efforts to cut costs combine technology with restructuring, and companies have directed some savings toward other priorities. AB InBev funded sales and marketing with savings on administrative and other costs. PepsiCo is using broader cost reductions to support lower prices and advertising, while Starbucks is investing in store labor.

When rivals have similar tools, competition could pass much of the productivity benefit to customers. Reinvestment can still benefit shareholders by keeping sales from falling or encouraging more visits. Lasting profits depend on how much value a company can capture through its data, brands, customer relationships, or technology.

The Bottom Line

AB InBev earns the Best Positioned classification because it combines demonstrated operating improvements, an established retailer network, and a commercial platform that other manufacturers can use on their own routes. A generally capable account manager could improve the economics of both businesses, although Marketplace's precise revenue and profit contributions remain undisclosed.

The important tests are whether AB InBev can monetize its growing third-party platform at attractive margins and whether retailers' own AI buying assistants make retailers less reliant on BEES. AB InBev's potential AGI advantage comes from its network of millions of retailers already ordering through software and its ability to put that technology to work for other manufacturers.

The Motley Fool has positions in and recommends Starbucks. The Motley Fool recommends Diageo Plc. The Motley Fool has a disclosure policy.