The Ethics of AI Pricing in UK Retail

In February 2024, Wendy's CEO Kirk Tanner told investors the company would invest $20 million in digital menu boards capable of "dynamic pricing and day-part offerings." The framing was deliberately mundane. The public heard "surge pricing on burgers" and responded accordingly.

#BoycottWendys trended. Burger King launched a "No urge to surge" promotion. Within days, Wendy's stated publicly it had no plans to raise prices during peak hours and that the digital boards were intended for discounting during quieter periods. Which may well have been true all along. But the reputational damage was done fast, and the episode said something useful about where consumer tolerance of algorithmic pricing actually sits.

It sits lower than most retailers assume.

The Oasis Sale Was a Different Problem

The Wendy's story was loud but essentially hypothetical. No consumer paid a surge price for a burger. The Oasis ticket sale, later in 2024, was more substantive and more instructive about the specific mechanisms that generate public anger.

When Oasis announced reunion tour dates in August, fans queued for hours in virtual waiting rooms, only to find that by the time they reached the checkout, standing ticket prices had significantly increased from the advertised level. The CMA subsequently found that Ticketmaster had sold 'platinum' tickets at almost 2.5 times the price of standard tickets, without adequately explaining that these offered no additional benefits over some standard tickets in the same areas of the venue. Fans in the queue were not told that a tiered pricing system was in operation.

It is worth being precise about what actually happened here, because the "dynamic pricing" label is contested. The CMA's own subsequent inquiry found that Ticketmaster's pricing practice did not constitute dynamic pricing in the technical sense: prices were not adjusted in real time based on demand signals. A tranche of tickets was released at a lower price; once those sold out, a second tranche at a higher price became available. The problem was that fans waiting in the queue were not told this would happen. The mechanism was tiered sequential release; the consumer experience was a price that appeared to jump without warning.

The CMA launched a consumer protection investigation in September 2024. It closed in September 2025, with Ticketmaster signing undertakings. The company must now tell fans at least 24 hours before a sale begins if a tiered pricing system will be used. It must also communicate the full price range when fans join a queue, and update them promptly when cheaper tickets sell out.

The case matters beyond live music. It is the first significant UK consumer enforcement action specifically targeting pricing transparency in a high-demand digital sale, and it has produced a clear statement of what the law requires.

What the Regulatory Framework Now Says

The timing of the CMA's involvement is not coincidental. The Digital Markets, Competition and Consumers Act received Royal Assent in May 2024, giving the CMA new direct enforcement powers: it can now find consumer law infringements and impose fines of up to 10% of a company's worldwide turnover without requiring court proceedings.

In November 2024, the CMA launched a broader Dynamic Pricing Project to examine how these practices work across different sectors. Its June 2025 update is worth reading carefully by anyone responsible for pricing decisions. The CMA concluded that dynamic pricing can be entirely consistent with effective competition and good consumer outcomes, in sectors where consumers understand that prices vary and have the flexibility to adjust their behaviour. Airline fares and hotel rooms have operated on dynamic models for decades; when consumers understand the mechanism, they can plan accordingly.

The regulator's concerns are more specific than a general objection to prices moving. They centre on four situations: when consumers are unaware that dynamic pricing is operating; when price changes create pressure to make decisions quickly; when vulnerable consumers end up systematically paying more than others; and when pricing is used to protect or extend market power rather than to manage genuine supply and demand.

That last concern about vulnerable consumers paying more maps directly onto the most ethically difficult form of algorithmic pricing: personalised pricing based on who is asking rather than when they are asking.

The Distinction Retailers Should Keep in Mind

The simplest form of dynamic pricing adjusts based on time, demand, and inventory levels. The more sophisticated form adjusts based on inferred characteristics of the individual consumer: purchase history, stated location, device type, apparent price sensitivity. Consumer research consistently finds the second form far more objectionable than the first, and for understandable reasons. Charging different people different prices based on algorithmic inferences about their willingness and ability to pay is price discrimination in the economic sense. It does not feel fair because, structurally, it isn't.

The reputational arithmetic is asymmetric. A personalised pricing system that successfully extracts an extra margin from price-insensitive customers creates a diffuse, low-visibility benefit distributed across thousands of transactions. A single incident where the price differential becomes visible — a consumer discovering their friend paid 30% less for the same product on the same day — creates a concentrated, high-visibility cost. The viral complaint is more damaging than the accumulated gain is valuable.

Retailers operating AI pricing systems should also consider the CMA's transparency framework not just as a compliance exercise but as a practical design constraint. Pricing that moves with supply and demand, disclosed clearly before the purchase journey begins, is broadly safe and has been a feature of commerce for as long as retail has existed. Personalised pricing that infers individual willingness to pay, deployed invisibly, is where the regulator is now looking and where consumer trust is most fragile.

What This Means in Practice

The CMA guidance is specific: be clear that prices can change, tell consumers what information would help them plan their purchase, and don't create an impression of a fixed price if prices are actually variable.

The Oasis/Ticketmaster outcome adds a timing dimension to this. Transparency disclosed before the consumer commits to a purchase journey is very different from transparency disclosed after they have already spent significant time or effort. Fans who had queued for two hours before finding out about the pricing tier experienced that as a betrayal. The undertakings Ticketmaster signed specifically address this by requiring advance notice and in-queue communication, not just small-print disclosure buried in terms and conditions.

"The algorithm decided" was never a defensible answer when pricing decisions generated complaints. Someone designed the algorithm's objectives. Someone specified what signals it should respond to. The CMA's new enforcement toolkit means that answer will increasingly be tested.

The Wendy's burger is probably fine. The broader question about AI pricing in UK retail — what it can do, what it should do, and where a regulator with direct enforcement powers will draw the line — has become considerably clearer since that story broke. The answers are not comfortable for anyone building personalised pricing systems that their customers cannot see.

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Updated May 2026 to reflect the CMA's closure of the Ticketmaster investigation (September 2025, with undertakings) and the CMA Dynamic Pricing Project update (June 2025).

Further reading: Ticketmaster consumer protection case · CMA Dynamic Pricing Project · CMA tips for businesses using dynamic pricing