AI Pricing and Copyright: Who Pays the Price?

A coalition of 23 United Kingdom organisations, including the English Premier League, has warned the Albanese government that Australia could become a "content laundering nation" for AI companies if it weakens copyright laws. The warning comes as ordinary people ask who controls the technology shaping their daily lives. This isn't abstract. It concerns whose work gets used and whose wallet takes the hit.

The Copyright Question

The coalition's message is blunt: weaken the rules, and creative industries could see their material absorbed into AI systems without fair compensation or consent. The 23 signatories want Canberra to hold the line. For writers, broadcasters and sporting bodies, whose content holds enormous commercial value, the stakes are real. Protection isn't a luxury. It's how they earn a living, and public rules determine whether that protection holds.

Pricing in the Aisle and Online

Across the United States, shoppers are uneasy about how retailers and restaurant chains use technology to set prices. Digital labels are replacing paper tags in grocery aisles, while artificial intelligence tools help businesses predict how customers might react to a price. Terms such as "dynamic pricing" and "surveillance pricing" have spread quickly on social media, driven by fears that two people might pay different amounts for the same product.

The concern goes beyond a sticker on a shelf. Katie Thomas, who leads an internal consumer behavior think tank at management consulting firm Kearney, put it plainly: "There are major tensions happening right now between who's really going to have the power with some of these algorithms and usage of bots and AI: the companies or the shopper," she said. That's a question about power. Democratic oversight exists to examine exactly that kind of market power.

Walmart CEO John Furner pushed back in a blog post last month. He wrote that digital tags save workers' time and keep prices current, and said the company doesn't use them to raise prices based on weather, time of day or an individual shopper. "We price the product, not the person," Furner wrote. The words sound reassuring. Yet the company's assurances still depend on trust, which runs thin when companies don't always explain what customer data they collect or how they use it.

The Regulatory Response

Lawmakers have begun acting. Legislators in at least 30 states have considered pricing bills this year, including measures on algorithmic and personalized pricing, according to the National Conference of State Legislatures. The Federal Trade Commission has proposed an enforcement policy warning that failing to disclose the use of personal data to set individualized prices could violate consumer protection law. Maryland, New Jersey and Connecticut have enacted restrictions on using shoppers' personal data to determine prices.

Enforcement records show why these rules matter. California prosecutors sued Target in 2022, alleging its app showed lower prices before shoppers entered stores and raised them once they went inside. Target agreed to a $5 million settlement and a ban on using geofencing technology to increase prices. The retailer denied personalizing prices based on guests' data and said it remains "committed to clear, transparent pricing." The settlement shows public institutions can hold large companies accountable when shoppers don't know what's happening.

The FTC has also challenged algorithmic tools. In a 2023 antitrust lawsuit against Amazon, the agency took aim, among other practices, at an algorithmic tool codenamed Project Nessie. The FTC alleged Amazon used it to identify products whose prices could rise with competitors likely to follow, generating more than $1 billion in excess profits. Amazon said the allegations "grossly mischaracterize" the tool, which it said aimed to prevent retail price-matching from producing unsustainably low prices. A trial is scheduled for next year.

Not Every Price Is Personal

Some of the anger comes from a misreading, and the facts matter. Different prices don't necessarily mean anyone used personal data. Decodo tracked product price changes in 2025 across electronics, clothing and home-improvement supplies; about half of the U.S. changes it recorded were decreases, according to senior product marketing manager Gabriele Vitke. Asa Farquhar of retail technology company Relex Solutions said retailers generally update electronic shelf prices on a regular schedule, often weekly, because shoppers value consistency. Researchers tracking an unnamed grocery chain found "virtually no surge pricing" after the labels arrived.

Still, a 2025 investigation by Consumer Reports, Groundwork Collaborative and More Perfect Union found Instacart shoppers saw different prices for identical products at the same stores. Instacart later ended what it described as tests that randomly assigned shoppers to groups. Opacity breeds suspicion. Regulators and independent researchers need to replace guesswork with evidence.

The Bot Problem Spreads

The pressure extends beyond shop floors. An Australian Financial Review headline said AI bots now generate more than 57 per cent of web traffic and described risks for retail, banking and travel. Associate editor Joyce Moullakis wrote the item, which appeared on the publication's Companies page under the title "Rise of the rogue AI bots a horror show for retail, banking and travel." The summary said JPMorgan filters out external artificial intelligence agents. The item provided no further details.

Why This Matters:

These stories share a common thread: ordinary people must trust systems they can't see. Creative workers want to know whether companies will take their output without payment. Shoppers want to know whether everyone sees the same price on the shelf. Regulators in Maryland, New Jersey, Connecticut and at the federal level are testing how far existing consumer protection law reaches into algorithmic pricing. The outcomes will determine whether companies face clear duties to disclose how they use personal data, and whether public institutions have the tools to enforce those duties. When transparency falls short, people with the least leverage to push back bear the costs. That's the central test for democratic oversight of these technologies.