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McDonald’s sinister pricing scheme is sizing up your wallet – with California customers forking over a premium

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Cite

Jerkovich, K. (2026, October 1). McDonald’s sinister pricing scheme is sizing up your wallet – with California customers forking over a premium. New York Post. https://nypost.com/2026/09/30/business/mcdonalds-ai-menu-pricing-creates-big-cost-gaps-in-california/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

New York Post · collected 2026-10-01 · by Katie Jerkovich

Quick Summary

McDonald’s in California is using AI to set location-specific prices for menu items, leading to significant price variations within a short distance. For instance, a Big Mac can cost $1 more at one restaurant compared to another just 1.3 miles away. This pricing strategy, based on customer willingness to pay in different areas, varies not only for the Big Mac but also for other items like M&M McFlurries and Deluxe sandwich options. Customers are adapting by checking prices via mobile apps before deciding which location to visit.
Written by AI on 2026-10-01, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

McDonald's is using AI algorithms to set dynamic pricing across its locations, leading to significant price differences for the same items in close proximity. A Reuters report highlights that prices can vary by over a dollar for identical menu items in Fresno, California. For example, a Big Mac costs $5.69 at one location and $6.89 just two miles away. Similarly, an M&M McFlurry ranges from $4.69 to $5.19, and a Deluxe McCrispy varies between $5.99 and $6.49 in different restaurants within the city. This practice is seen as unfair by many customers who now have to compare prices across multiple locations, reminiscent of shopping for cars rather than fast food. McDonald's notes that franchisees retain final pricing control but critics argue this technology exploits consumer data to maximize profits.

Written for “Dynamic Pricing Schemes” on 2026-11-04, grounded in this article and the 1 other(s) covering the same event.

Story

📰 Dynamic Pricing Schemes
Economy/Business · 2 article(s) covering the same event. See how they differ ↓

Compared with similar articles

This article reads leans left and hedges 16% of its claims. Each row says how that neighbour differs.
New York Post
⚖️ Leans strongly left further left than this Hedges 1 of 32 claims Outlet record 66/100
New York Post
Hedges 0 of 10 claims Outlet record 66/100
“Article A describes a pricing scheme and its impact, while Article B reports on a subsequent legal action taken against McDonald's.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
37
sentences that state something as happening or true
Uncertain
16%
6 of 37 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
66/100
New York Post's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
2
Economy/Business
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-01 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

New York Post · 16647 article(s) · 36 correction(s) detected
Running correction rate · 36 correction(s)

Who wrote this

Katie Jerkovich
57 article(s) here · 1 carrying a prediction
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Also by Katie Jerkovich
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 57 articles by Katie Jerkovich →

Topics

Big Mac Fresno McDonald McDonalds every McDonald’s

Subjects

McDonald ORG · 5× Fresno GPE · 4× Reuters ORG · 3× McDonalds ORG · 2× McDonald’s ORG · 2× Oliva GPE · 2× Ramos PERSON · 2× California GPE · 1× every McDonald’s ORG · 1× the McDonald’s ORG · 1×

Narrative

Fresno resident Vanessa Aguilar said she knew the Cesar Chavez one is the cheapest in town as she has “been to a couple more and it always comes out to a different price,” because she gets the same thing. “I mean with this economy, everything’s very expensive right now,” Aguilar said, saying it’s worth it to drive to a cheaper McDonald’s.
framing: assertive · carried by 1 article(s) · first seen 2026-10-01
🔮 California customers are discovering that the price of their favorite fast-food fix can change from one location to the next — sometimes by a buck or more — as McDonald’s increasingly turns to AI to help franchisees decide what customers may be willing to pay.

Claims (37 extracted, 6 hedged)

Think that Big Mac is the same price at every McDonald’s? asserted
Mac → think → McDonald
California customers are discovering that the price of their favorite fast-food fix can change from one location to the next — sometimes by a buck or more — as McDonald’s increasingly turns to AI to help franchisees decide what customers may be willing to pay. uncertain
customers → discover → what
The world’s largest fast-food chain has been pushing franchisees to use an AI-powered algorithm that analyzes data from McDonald’s roughly 14,000 restaurants to estimate “customer willingness to pay in your area,” according to Reuters. uncertain
that → push → Reuters
And Fresno customers don’t have to go far to find the price differences. asserted
customers → have → differences
At the McDonald’s at 4505 E. Cesar Chavez Blvd., a Big Mac was listed at $5.69 on the company’s mobile app in September. asserted
Mac → list → September
Drive just 1.3 miles to the location at 4898 E. Kings Canyon Road, and that same burger costs $6.69. asserted
burger → drive → 6.69
That’s a $1 difference for the exact same sandwich. asserted
That → ’ → sandwich
The price gaps extend beyond the Big Mac. asserted
gaps → extend → Mac
An M&M McFlurry was listed at $4.69 at the cheaper location versus $5.19 at the other restaurant. asserted
McFlurry → list → restaurant
The Deluxe McCrispy was $5.99 at 5645 E. Kings Canyon Road compared with $6.49 at the 4898 E. Kings Canyon Road location. asserted
McCrispy → compare → location
The Deluxe Spicy McCrispy also carried different prices, at $6.79 at the Cesar Chavez location and $6.99 at the Kings Canyon restaurant a little over a mile away. asserted
McCrispy → carry → restaurant
Exactly how much of the difference comes from the AI recommendations versus individual franchisee decisions is unclear. uncertain
comes → come → decisions
McDonald’s franchisees have the final say on their menu prices. asserted
franchisees → have → prices
For Fresno resident Adam Ramos, the answer is simple: check the app and drive a little farther. asserted
answer → check → app
Ramos lives farther from the Cesar Chavez location but said he noticed the price difference and decided the extra drive was worth it. “And when you order the same thing, there’s sometimes a dollar difference, and sometimes just a couple cents more,” Ramos said on Wednesday. Gabriel Corral-Cardenas, who stopped at the Chavez Boulevard restaurant because it was closer to where he works, said he had no idea McDonald’s prices could vary from location to location. uncertain
prices → live → location
“I mean if it’s cheaper here that’s a better deal for the customers,” Corral-Cardenas said. asserted
Cardenas → mean → customers
He said it’s worth it to save a few bucks and plans to check the app next time,“especially with fast food so expensive right now compared to the previous years.” asserted
food → say → years
Fresno resident Vanessa Aguilar said she knew the Cesar Chavez one is the cheapest in town as she has “been to a couple more and it always comes out to a different price,” because she gets the same thing. “I mean with this economy, everything’s very expensive right now,” Aguilar said, saying it’s worth it to drive to a cheaper McDonald’s. asserted
it → say → McDonald
Customers at the pricier locations, meanwhile, were stunned to learn pricing varied depending on the locations. asserted
pricing → stun → locations
Leticia Oliva, who lives in Fresno, said she had no idea the McDonalds at 5645 E. Kings Canyon road was one of the more expensive McDonalds in the area. asserted
McDonalds → live → area
She said she didn’t think the price differences were fair. asserted
differences → say → ?
“No, I don’t think so. asserted
I → think → ?
I didn’t even know that until you told me that,” Oliva said. asserted
Oliva → know → that
Oliva said learning that another McDonald’s nearby charges less would make her less likely to return to the higher-priced location. asserted
her → say → location
Another customer at the 4898 E. Kings Canyon Road location, who declined to give his name, said he also didn’t know prices varied and planned to talk with his wife about going somewhere cheaper. asserted
prices → decline → wife
“I always thought they were all the same.” asserted
they → think → ?
Franchisees told Reuters that the algorithm has widened the gap between prices on identical items at various restaurants within the same neighborhoods. asserted
algorithm → tell → neighborhoods
The AI platform also factors in public pricing information from nearby competitors such as Wendy’s and Burger King, according to the report. uncertain
platform → factor → report
Both chains have said they do not use AI to make pricing decisions. asserted
they → say → decisions
McDonald’s pushed back on the idea that AI is setting prices behind customers’ backs, arguing that the Reuters report was misleading. The company said its algorithm does not change prices in real time. asserted
algorithm → push → time
Instead, it makes recommendations that franchisees can accept or reject. asserted
franchisees → make → that
“These speculative and uninformed claims attempt to recast a standard business practice as something controversial. uncertain
claims → attempt → something
AI does not set the price of a Big Mac or any other menu item,” the spokesperson told The Post. asserted
spokesperson → set → Post
“The use of pricing recommendation tools and analytics is widespread across industries,” he added. asserted
he → add → industries
“The pricing portal is a tool, not a mandate, designed to provide restaurant-specific recommendations to help franchisees deliver value for customers and make informed business decisions. asserted
franchisees → design → decisions
Still, the revelation comes as consumers are increasingly wary of AI-powered pricing and so-called dynamic pricing, which can change prices based on demand. asserted
which → come → demand
Wendy’s learned that lesson in 2024, when it quickly backed away from plans to test “dynamic pricing” on digital menu boards after customers erupted online. asserted
customers → learn → boards
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