Odd Lots
Odd Lots

Oct 26, 2026 · 1h 1m

AI Shopping Agents Enter the Pricing Arms Race

AI Agents Are Already Changing the Price of Goods

As software begins making purchases, consumers may face sellers and advertisers using equally sophisticated systems to shape what they see and pay.

3 key takeaways
  1. 1Algorithmic pricing now combines experimentation, surveillance, and inferred wealth to personalize offers and fees.
  2. 2Shopping agents may recommend sponsored or costlier products, making fiduciary-style best-interest duties central to consumer protection.
  3. 3Fixed public prices once made budgeting and competition more predictable, but agentic commerce could revive individualized haggling at scale.

Don't miss

Lindsay Owens recounts how Giants fan Ron Gordon fought a small stadium hot-dog price increase, turning a personal complaint into a lesson about consumer power.

The brief

Tracy Alloway and Joe Weisenthal open with Muse, an AI assistant that could read email, compare offers, and complete purchases as a personal shopper.

Lindsay Owens explains that shoppers are entering an arms race: sellers use experimentation, surveillance, and personalized pricing, while agents may face systems built to maximize revenue.

Secret-shopper research on Instacart illustrates how customers can be sorted into distinct price groups, weakening the idea that everyone encounters the same public price.

The episode’s sharpest warning is that an agent instructed to find the cheapest product may instead favor sponsors or more expensive options unless it owes the user a best-interest duty.

Owens and the hosts connect AI commerce to surge pricing, loyalty-card data, and the return of haggling, asking whether agents will strengthen consumer power or deepen corporate control.

What was said on this episode

36 statements · 6 positive · 24 negative · 6 neutral

  1. Joe Weisenthalon MusePositive2:57

    Muse saved Joe several thousand dollars by identifying missed information in an email.

    “it actually saved me several thousand dollars because it identified something in email that I had missed”

    Listen at 2:57

  2. Joe Weisenthalon AI-agent shoppingPositive4:40

    AI-agent shopping will become increasingly important in people’s lives.

    “the broad premise clearly is going to be a bigger and bigger deal in our lives”

    Listen at 4:40

  3. Joe Weisenthalon Vendor-side AI pricing systemsNegative5:14

    Vendors will probably retain an information advantage over consumers in agentic shopping.

    “probably the vendor. has more data, right? It's going to have an information advantage over you.”

    Listen at 5:14

  4. Lindsay Owenson Company pricingNeutral6:39

    Modern company pricing is a highly engineered discipline.

    “It's a highly engineered science.”

    Listen at 6:39

  5. Lindsay Owenson AI-powered pricingNeutral6:43

    Companies use AI acquisitions and platform experiments to optimize prices.

    “They buy AI companies to build algorithms and to run experiments on their platforms to get better and better at determining the optimal price”

    Listen at 6:43

  6. Lindsay Owenson Personalized pricingNegative7:24

    Personalized pricing sets individual prices based on estimated willingness to pay.

    “this is a company that's setting a price just for you, ideally based on information that gives them a sense of how much they can get you to pay for it”

    Listen at 7:24

  7. Lindsay Owenson Personalized pricingNegative8:13

    Consumers will experience personalized pricing.

    “this is definitely going to happen to you”

    Listen at 8:13

  8. Lindsay Owenson AI shopping agentsNegative8:48

    Shopping agents returned more expensive options after inferring users could afford them.

    “the agents rooted around in your email inbox, identified that you could indeed afford more than the cheapest option and brought back a more expensive option”

    Listen at 8:48

  9. Lindsay Owenson AI shopping agentsNegative9:15

    Agents recommended gold health plans despite instructions to find the cheapest plan.

    “Even if you said, bring me the cheapest health insurance plan, once the agent figured out a little bit about your financial profile, basically they said, hey, I think this guy can afford the gold plan.”

    Listen at 9:15

  10. Lindsay Owenson 13 different LLMsNegative9:49

    Thirteen LLMs often returned sponsored products that cost more than the cheapest option.

    “even when directed to bring back the cheapest product, they brought back the sponsored product. And often the sponsored product was more expensive.”

    Listen at 9:49

  11. Lindsay Owenson Instacart pricingNegative10:54

    Instacart priced 75% of tested items differently, with gaps reaching 23%.

    “75% of the items. were differently priced for different shoppers. Same time, same place. The differences were as big as 23%.”

    Listen at 10:54

  12. Lindsay Owenson Instacart pricingNegative11:16

    Some families could pay up to $1,200 more annually because of Instacart price differences.

    “some families could end up paying as much as $1,200 more. in a given year.”

    Listen at 11:16

  13. Lindsay Owenson Comparison shoppingPositive13:13

    Comparison shopping helps keep economy-wide prices competitive.

    “comparison shopping is, of course, important if you're on a budget. But it's also the way in which prices are kept competitive in the entire economy”

    Listen at 13:13

  14. Lindsay Owenson Targeted discountsNegative13:59

    Targeted discounts for budget shoppers can raise prices for other consumers.

    “When they are able to be picked off, you know, if a store can identify who they are and quietly. We push them a discount. Prices will go up for the rest of us.”

    Listen at 13:59

  15. Lindsay Owenson Instacart pricingNeutral14:29

    Instacart shoppers were assigned to five distinct price groups.

    “there were sort of five distinct price groups”

    Listen at 14:29

  16. Lindsay Owenson StubHub feesNegative20:28

    StubHub fees varied by as much as $60 for identical tickets.

    “Fees were varying by as much as 60 bucks.”

    Listen at 20:28

  17. Lindsay Owenson Phone battery lifeNegative23:41

    Consumers become more vulnerable to higher prices when phone battery life is low.

    “You're over a barrel when your battery life is down.”

    Listen at 23:41

  18. Lindsay Owenson Price gouging lawsNegative24:20

    Price gouging legally involves unconscionably excessive emergency prices.

    “it's charging unconscionably excessive prices during an emergency”

    Listen at 24:20

  19. Lindsay Owenson Uber pricingNegative28:04

    Uber increasingly estimates each rider’s maximum payment and driver’s minimum acceptable fare.

    “Uber is getting very good at figuring out. the maximum amount each rider will pay for a ride. And they're getting really good at figuring out the minimum amount each driver will accept for a ride.”

    Listen at 28:04

  20. Lindsay Owenson Kroger alternative profitsNeutral29:07

    Kroger derives 30% of net operating income from alternative profit activities.

    “30% of Kroger's net operating income comes from what they call their alternative profits book of business.”

    Listen at 29:07

  21. Lindsay Owenson Kroger loyalty cardsNeutral29:17

    Ninety-five percent of Kroger transactions are linked to loyalty cards.

    “95% of Kroger transactions happen. attached to loyalty cards.”

    Listen at 29:17

  22. Lindsay Owenson Surveillance pricingNegative30:40

    Companies will use surveillance pricing to charge affluent customers more.

    “companies will do that 100 percent”

    Listen at 30:40

  23. Lindsay Owenson Surveillance pricing technologiesNegative31:18

    Companies will use pricing technologies to extract more from rich and other consumers.

    “companies will use these technologies. to take a lot from the rich. They'll use it to take as much as they can from everyone else.”

    Listen at 31:18

  24. Lindsay Owenson Princeton Review pricingNegative32:37

    Princeton Review charged more for test preparation based on users’ location proxies.

    “Princeton Review was charging individuals more for a test prep package”

    Listen at 32:37

  25. Agentic commerce could benefit consumers through personal-assistance use cases.

    “there are a huge number of use cases for personal assistance in agentic commerce that could really benefit consumers”

    Listen at 38:36

  26. Lindsay Owenson Personal AI agentsPositive40:15

    Personal AI agents should prioritize users rather than sponsored content or highest bidders.

    “if it's calling itself your personal agent, it should probably work for you and not Muse or whoever is offering sponsored content and the highest bidder”

    Listen at 40:15

  27. Lindsay Owenson Fiduciary dutiesNeutral40:30

    Fiduciary or best-interest duties have historically been imposed on agents.

    “we have imposed a best interest standard or a fiduciary duty on agents throughout time”

    Listen at 40:30

  28. Lindsay Owenson AI shopping agentsNegative40:58

    AI systems returning sponsored products are effectively search engines, not personal agents.

    “it's basically just Google if they're returning sponsored products”

    Listen at 40:58

  29. Lindsay Owenson Walmart agent infrastructurePositive43:41

    Walmart is building infrastructure to authorize registered shopping agents.

    “Walmart is building up sort of separate infrastructure so that you can register your agent”

    Listen at 43:41

  30. Lindsay Owenson AmazonNegative47:40

    Agentic commerce could weaken Amazon’s dominance for the first time in years.

    “agentic commerce could be the first opportunity to start to like draw some blood at Amazon for the first time in years”

    Listen at 47:40

  31. Lindsay Owenson Algorithmic pricing toolsNegative51:42

    Algorithmic pricing tools are increasingly being used to undermine price competition.

    “these tools are being used to subvert it”

    Listen at 51:42

  32. Lindsay Owenson RealPage pricing softwareNegative51:57

    RealPage software allegedly raised rents up to 25% above competitive-market levels.

    “rent prices as much as 25% more than you would see in a competitive market”

    Listen at 51:57

  33. Lindsay Owenson Calibrate pricing technologyNegative52:18

    Calibrate technology may have raised California gas prices by up to 30 cents per gallon.

    “it could have been as much as 30 cents a gallon higher for drivers in california”

    Listen at 52:18

  34. Joe Weisenthalon AI pricing and shopping systemsNegative53:52

    AI pricing and shopping systems will produce continuing competitive arms races.

    “It's just going to be arms races.”

    Listen at 53:52

  35. Joe Weisenthalon Walmart blueberriesNegative55:58

    A mass shift to Walmart’s $2.99 blueberries would raise their price.

    “If all of those people who shopped at Whole Foods suddenly switched to the $2.99 Walmart blueberries, they would not be $2.99 anymore.”

    Listen at 55:58

  36. Joe Weisenthalon Consumer behavior and inflationNegative57:27

    Continued consumption despite complaints contributes to persistent inflation.

    “that is why inflation continues to persist, because it. People behaviorally, whatever it is, people complain and then they buy the same thing the next day.”

    Listen at 57:27

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

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AI Shopping Agents Enter the Pricing Arms Race · PodLume