Two people open the same store. Same product, same page, same second. One sees $40. The other sees $52. Nothing about the product changed. The only thing that changed is who's looking.
Welcome to surveillance pricing — the quiet art of charging each person the maximum they, personally, are willing to pay. Not the market price. Your price. A number computed for you and shown to no one else.
For a century economists called this "first-degree price discrimination" and treated it as a theoretical extreme — a merchant who reads every buyer's mind and drains each one to the last coin they'd part with. It was theoretical because no merchant could read minds. Now one can. It's called a recommendation engine with a pricing module bolted on, and it has already read yours.
The storefront is a mirror, not a window
You think you're looking at a shop. You're not. The shop is looking at you.
The moment you land, a stack of signals fires. Your device — a MacBook or a budget Android tells the machine something about your wallet. Your location — a zip code correlates with income. The time — payday patterns are trackable. Your history — did you abandon a cart last week and come back? Then you want it, and want-it people pay more. Battery low on your phone? Studies of ride-hailing apps found low battery correlates with willingness to accept surge pricing. The machine doesn't know why. It doesn't need why. It needs the correlation, and it has millions.
In 2024 the US Federal Trade Commission opened a formal study into "surveillance pricing," ordering eight companies — including Mastercard, JPMorgan, and pricing-tech firms — to hand over how they use personal data to set individual prices. The FTC's own staff report, released January 2025, described intermediaries building consumer profiles to let sellers "target individual consumers with different prices for the same goods." This is not a conspiracy theory. It's a regulatory filing.
Amazon was caught doing crude versions of this back in 2000 — same DVD, different price by cookie. They apologized, called it a "test." A quarter-century of machine learning later, the test never ended. It just got a black box wrapped around it so nobody can point at a single line and say there, that's the discrimination.
Your Sekhem, metered to the drop
Here is the old truth under the new tech.
Every living thing carries Sekhem — vital force, the current that moves you toward what you want. Hunger, desire, the ache to buy the thing. That current is yours. The Egyptians understood energy as sacred precisely because it's the seat of will.
Surveillance pricing is a meter clamped onto that current. It reads the pressure of your wanting and sets the toll to match. The more you desire, the more you pay — not because the thing costs more to make, but because your desire is now an input the seller can see. Your Sekhem is being read as a price signal. The intensity of your own life is quoted back to you as a bill.
Our record: In the ledger of Maat, a fair exchange is a balanced scale — value for value, the same weight for every hand that reaches the pan. Surveillance pricing rigs the scale per person, invisibly, so no two weighings can ever be compared. That is Isfet in its purest commercial form: not theft you can see, but a scale that lies differently to everyone. When the balance answers to who you are instead of what you buy, the temple has become a trap.
Why you can't feel it
Old-fashioned cheating leaves evidence. A rigged scale at the market, you could weigh against another. But personalized pricing is built to be unauditable by design. You never see the other person's price. You have no control sample. You are a population of one, and a population of one has no basis for comparison.
That's the whole architecture. It's not a bug that you can't tell — it's the feature. The system's power comes precisely from the fact that the discrimination is atomized. A million people each paying their private maximum, none of them able to prove they were singled out, because there's no "singling out" — everyone got a number, everyone's number was different, and difference is deniable.
Think of it as a proprietary black box compiled fresh for each user. There's no shared source code to inspect, no public price to appeal to. Just an output. Take it or leave it — and the machine already computed the odds you'll take it.
Airlines have flirted with per-customer fares for years. Ride-hailing prices flex by route demand and, allegedly, by signals about you. Insurers price by data brokerage that would make your eyes water. The direction is one way: toward the world where "the price" is a fiction and every quote is bespoke.
The lever: become unreadable
Never doom without a door. Here's the door.
The machine's power is entirely borrowed. It runs on your signals. Cut the signals and the model degrades to guessing. You don't have to disappear — you just have to stop broadcasting your maximum.
- Comparison-shop like it's 1999. Open the same product in a clean browser, logged out, incognito, and watch the number move. When it moves, you've caught the meter. Screenshot it. That gap is the discrimination made visible.
- Break your own profile. Clear cookies. Refuse the loyalty app that trades your history for "deals." Use a browser that blocks trackers. A privacy layer isn't paranoia — it's noise injected into the model that prices you.
- Never let it see you want it. Don't return to the abandoned cart from the same device. Desire, visibly repeated, is the most expensive signal you emit.
- Demand the audit. Support the FTC probe, the state laws (California and others are moving on surveillance pricing), the right to know when a price was set by your data. A price that can't survive daylight shouldn't survive at all.
The store wants a mirror. Hand it a fog. When the machine can't read your Sekhem, it has to fall back on the honest thing it was always afraid of — one price, in the open, for everyone.
Name the meter. Starve it of signal. Weigh every price against a stranger's, and make the scale answer for the difference.