A Big Mac in Fresno, California recently cost $5.69 at one McDonald’s and $6.89 at another location two miles away — a 21% swing for the exact same sandwich. The reason, according to franchisees who spoke to Reuters, is an AI pricing tool that McDonald’s corporate has been pushing store owners to adopt, one that calculates the “optimal price” a given store’s customers will tolerate based on local demand, competition, and time of day.
That tool is now the subject of a federal lawsuit alleging it violates antitrust law by funneling nonpublic pricing data between competing franchisees who are supposed to be setting prices independently. McDonald’s says franchisees remain free to ignore the recommendations. Five franchisees told Reuters they’ve felt real pressure to use it anyway, and the company’s new business standards now require owners to be “constructively engaging with McDonald’s approved Pricing Consultant and Tools.”
None of this directly touches an independent restaurant or retail shop. But the underlying technology — software that quietly adjusts what customers pay based on data you don’t see — is trickling down from chains to the point-of-sale systems and delivery platforms independent operators already use. Before that software shows up as a feature in your own POS or ordering app, it’s worth understanding what’s actually at stake.
This isn’t the industry’s first dynamic pricing fire
McDonald’s situation echoes one from early 2024, when Wendy’s CEO Kirk Tanner told investors the chain planned to test “dynamic pricing” using digital menu boards. The announcement detonated almost instantly. Consumer research cited widely at the time found that 64% of diners reacted negatively to the idea of restaurants using surge-style pricing, and 81% said they’d change their dining hours or stop visiting altogether to avoid it. Wendy’s walked the plan back within days, insisting it only intended to offer discounts during slow periods, not markups during busy ones, as CNN reported.
The lesson economists drew from that episode wasn’t that dynamic pricing is inherently toxic — airlines, hotels, and ride-share apps have used it for years without the same uproar. The lesson was about framing. A University of Pennsylvania economist told reporters at the time that calling it “surge pricing” was “the worst marketing mistake you can think of,” because it told customers the entire point was to charge them more. Off-peak discounts and loyalty-based offers trigger none of that reaction, even when the underlying math is identical.
What’s actually different about an algorithm doing it
Independent restaurants have run informal dynamic pricing forever — happy hour, early-bird specials, weekday lunch deals, Tuesday-night promotions. Nobody calls that exploitative because a human owner decided it, the logic is visible, and it always favors the customer finding a deal, never penalizes them for showing up at the “wrong” time.
What makes the McDonald’s and Wendy’s cases different, and what triggered the legal and PR blowback, is opacity and asymmetry. A black-box AI tool recalculates prices continuously based on data the customer can’t see, and the lawsuit’s core allegation is that the same tool may be comparing notes across competing franchise locations — which starts to look less like pricing strategy and more like coordinated price-setting, the thing antitrust law exists to prevent. The Federal Trade Commission has been explicit that algorithmic pricing tools can create antitrust exposure even without any human intending to collude, if the software itself ends up aligning prices across supposedly independent businesses.
What this means if a vendor pitches you AI pricing
Independent owners are increasingly fielding sales pitches from POS vendors, delivery platforms, and third-party consultants offering “AI-powered revenue optimization” — software that promises to quietly flex your prices based on weather, local events, inventory levels, or competitor pricing it scrapes automatically. A few questions are worth asking before adopting any of it:
- Can you see and override every price it sets, in real time, without a delay? Tools that recommend but don’t auto-publish keep you in control and keep the liability framing on your side.
- Does it pull in data from other businesses, or only your own sales history? If a vendor’s pricing engine is informed by what competitors nearby are charging, you’re closer to the legal gray area the McDonald’s lawsuit is testing.
- Is the customer-facing version a discount or a markup? Pitching “15% off between 2–4pm” lands completely differently than a price that silently rises at 6pm, even if the revenue impact is similar.
- Will your staff be able to explain a price difference if a customer asks? If the honest answer is “the algorithm decided,” that’s the same answer that’s generating lawsuits and headlines for a $200 billion company right now.
The takeaway
You don’t need to avoid data-driven pricing — using slow-period data to run smarter promotions is exactly the kind of thing independent operators have always done well, and the National Restaurant Association’s state of the industry research consistently shows margin pressure as the top challenge facing owners, which makes smarter pricing genuinely valuable. What the McDonald’s lawsuit and the Wendy’s backlash both show is that the failure mode isn’t the math — it’s losing visibility into your own prices and losing the ability to explain them in plain language to a customer standing at the counter. If a pricing tool can’t pass that test, it’s not ready for your business, no matter how many big chains are adopting it.
