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Get the feeling you’re being nickel-and-dimed? Dynamic pricing means you probably are

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Cite

Fleming, K. (2026, September 30). Get the feeling you’re being nickel-and-dimed? Dynamic pricing means you probably are. New York Post. https://nypost.com/2026/09/30/opinion/dynamic-pricing-and-ai-are-ripping-you-off-at-mcdonalds-and-beyond/

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 2026-09-30 · by Kirsten Fleming

Quick Summary

The article reports on how McDonald’s is implementing AI-powered algorithms to set dynamic pricing at its franchises, adjusting prices based on customer data analysis. For instance, in Fresno, California, a Big Mac can cost $5.69 at one location while two miles away it costs $6.89. This practice reflects broader trends where companies use consumer behavior and personal information to adjust prices in real-time, leading to varied pricing experiences across different locations or devices.
Written by AI on 2026-09-30, 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 strongly left and hedges 3% of its claims. Each row says how that neighbour differs.
New York Post
⚖️ Leans left further right than this Hedges 6 of 37 claims Outlet record 66/100
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
32
sentences that state something as happening or true
Uncertain
3%
1 of 32 hedged ("reportedly", "may", "according to")
Leaning
Leans strongly 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 2026-09-30 · 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

Kirsten Fleming
8 article(s) here · 1 carrying a prediction
🔮 Lawrence has an Academy Award and the general goodwill from the industry and public thanks to her talent and quirky personality.
🔮 How dare we not take her drug-fueled account that may have crushed an innocent man — one without the resources available to his billionaire accuser — as gospel!
🔮 There I was, like Marvin Berry excitedly blasting clips from my iPhone to my friends and family, who have long abandoned hope that common sense could rule here.
🔮 And by the way New York politicians immediately reacted — with press conferences and outraged tweets the length of “War and Peace” — one would think ICE had made swiss cheese of a sweet grandma as she handed out Werther’s Originals to the neighborhood children.
🔮 “We believe strongly that everyone who is a part of Rip City should feel welcome and safe and we will make sure that our new broadcaster reflects these values.
🔮 A few days before Higher Word’s first concert in October 2024, co-founder Spencer McIntosh went to mass at St. Anthony of Padua in Soho where the performance would be held.
🔮 The technology analyzes data across 14,000 locations to estimate “customer willingness to pay in your area.”
🔮 She also recently signed a deal with Bleav podcast network, which will expand her footprint to other platforms like Spotify and Apple.
Also by Kirsten Fleming
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 8 articles by Kirsten Fleming →

Topics

California Fresno McDonald McDonald’s Reuters

Subjects

McDonald’s ORG · 2× Amazon ORG · 1× Americans NORP · 1× Apple ORG · 1× California GPE · 1× Fresno GPE · 1× Kroger ORG · 1× McDonald ORG · 1× Reuters ORG · 1× Smithsonian ORG · 1×

Narrative

It’s gross and unfair, and it makes one pine for the good old days when the price of goods was presented to the shopper in the form of a sticker slapped on by a price tag-gun-toting stock boy.
framing: assertive · carried by 1 article(s) · first seen 2026-09-30
🔮 The technology analyzes data across 14,000 locations to estimate “customer willingness to pay in your area.”

Claims (32 extracted, 1 hedged)

If it feels like you’re being nickel-and-dimed in every aspect of your life, it’s not your imagination. asserted
it → feel → life
Even McDonald’s is turning you upside down and shaking the loose change from your pockets as you buy that once affordable fast-food feast. asserted
you → turn → feast
A new report from Reuters says the burger chain is pushing its franchisees to use AI-powered algorithms to set pricing at their locations. asserted
chain → say → locations
The technology analyzes data across 14,000 locations to estimate “customer willingness to pay in your area.” asserted
technology → analyze → area
For example, the report compares burger prices in Fresno, California. asserted
report → compare → Fresno
In one location, the McDonald’s mobile app lists a Big Mac at $5.69, while at another location only two miles away, that same burger is $6.89. asserted
burger → list → location
That’s pretty outrageous and adds up over time. asserted
That → ’ → time
Now, you have to shop for fast food like you would for a car, comparing prices at different dealerships before you pull the trigger on a purchase. asserted
you → have → purchase
(McDonald’s notes that franchisees have the final say on pricing). asserted
franchisees → note → pricing
It’s obvious that inflation isn’t the lone culprit for the ballooning cost of living. asserted
inflation → ’ → living
During Covid, we were all sitting on our couches shopping online, giving brands tons of personal information that was perfectly optimized by all the incoming AI technology. asserted
that → sit → technology
But it’s widespread across the consumer experience as companies increasingly study the buying habits of people online and then set the rates based on their personal data. asserted
companies → ’ → data
The brand assumes that you are looser with your wallet. asserted
you → assume → wallet
Surely, you can shell out more scratch for this shirt. asserted
you → shell → shirt
Or, if you’re revisiting a site over and over, a company can surmise that you’re eager and charge you accordingly. asserted
you → revisit → you
And, maybe like in the case of McDonald’s, it’s not always a huge increase. asserted
it → ’ → McDonald
Perhaps it’s just an extra few cents tacked onto your order, here and there. asserted
it → ’ → order
We keep paying it without objection. asserted
We → pay → objection
And suddenly the extras mount, and those once affordable items are breaking the bank. asserted
items → mount → bank
It’s gross and unfair, and it makes one pine for the good old days when the price of goods was presented to the shopper in the form of a sticker slapped on by a price tag-gun-toting stock boy. asserted
price → ’ → boy
Even those sticky price tags will belong in the Smithsonian soon. asserted
tags → belong → Smithsonian
Supermarkets are moving toward electronic shelves, which allow stores to digitally update prices in real time. asserted
stores → move → time
They could alsostart utilizing dynamic pricing, which changes depending on the time or day, weather or other factors, as airline tickets already do. uncertain
tickets → utilize → time
Many big grocery chains, including Kroger and Amazon, have claimed they had no plans to pivot to dynamic pricing, but count me skeptical. asserted
they → include → me
Companies only need to look at the irresponsible spending habits of many Americans. asserted
Companies → need → Americans
People have absolutely no qualms paying $50 for a crappy Chipotle burrito because someone else picked it up, drove it to their home and left the soggy, lukewarm mess on their doorstep. asserted
someone → have → doorstep
We want instant gratification and convenience. asserted
We → want → gratification
And we don’t want to lift a finger for it. asserted
we → want → it
All we have to do is push a button. asserted
we → have → button
And voila, it’s in our hands at blindingly quick speeds. asserted
it → ’ → speeds
But, in the process, we’ve unwittingly told companies how terrible we are with our own money, and given them all the information they need to take advantage. asserted
they → tell → advantage
There’s no easy solution, though I doubt enough people even realize that we’re being hit over the head with these inflated prices thanks to such practices. asserted
we → ’ → practices
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