Key Takeaways
- Companies like Instacart are using AI to implement 'surveillance pricing,' charging personalized prices based on customer data.
- Consumer Reports' investigation found Instacart's algorithmic pricing resulted in 92% of testers paying higher prices than the lowest available.
- The legality of surveillance pricing is unclear federally, but some states like New York are introducing disclosure laws, though full bans face lobbying resistance.
- The widespread use of AI in dynamic pricing raises ethical concerns about price discrimination and challenges for regulators to keep pace.
Deep Dive
- Companies are increasingly using AI for dynamic pricing, with Delta Airlines planning to boost profits by charging personalized ticket prices.
- This practice, also seen in retail, involves setting prices based on what a company believes a consumer is willing to pay.
- Investigative journalist Derek Kravitz discussed Consumer Reports' investigation into Instacart's use of AI, acquired through Eversight, to enhance data collection and influence grocery prices.
- Consumer Reports conducted a webinar where hundreds of volunteers simultaneously shopped for identical items on Instacart to identify AI-driven price discrepancies.
- The investigation found 75% of tested products had algorithmically changed prices, with variances from $0.07 to $2.56, and Skippy Peanut Butter showing a 23% price difference.
- Instacart claims its price differences are negligible and aim to make groceries more affordable; however, the investigation found only 8% of testers received the lowest price, while 92% paid more.
- Instacart's ability to implement these price variations stems from its acquisition of the AI company Eversight, which analyzes data and optimizes pricing strategies for individual shoppers.
- The legality of surveillance pricing remains a federal gray area, though New York now requires apps to disclose when prices are algorithmically changed.
- The discussion highlights ethical implications of charging different prices based on a customer's neighborhood or income, a practice that could be considered price discrimination.
- Regulators and the public are struggling to keep up with the rapid advancement and use of sophisticated AI in dynamic pricing.
- FTC Chair Lena Khan emphasized the need for a societal conversation about whether personal data should inform prices, noting that new laws would be necessary if not.
- The Federal Trade Commission previously investigated surveillance pricing, where companies use personal data to set different prices for the same goods.
- The probe, launched in January before a change in administration, was halted by the new FTC chair.
- This action prevented the completion of a study that had begun in July 2024 to examine such pricing practices.
- Retailers promised AI could set different prices based on an individual's willingness to pay, with Instacart confirmed to use this 'surveillance pricing'.
- Delta Airlines has reported success with a pilot program for AI-driven dynamic pricing, aiming to have 20% of fares set by AI by year-end, raising consumer trust issues due to data collection.
- Consumer outrage over surveillance pricing is high, with some individuals avoiding loyalty programs due to concerns about brands exploiting their data.
- Congress has shown interest in the issue, citing affordability and big tech regulation, but legislative action has been minimal.
- Senator Ruben Gallego introduced a bill to ban surveillance pricing, but it currently has no co-sponsors.
- Lobbyists have opposed similar legislation, arguing it could prohibit existing discounts for groups like military personnel or teachers.
- A New York bill originally intended to ban surveillance pricing was weakened due to lobbying efforts, resulting in a law requiring disclosure but not prohibition, now facing legal challenges.
- Meaningful federal regulation or a ban on surveillance pricing is unlikely in the near future, as highlighted by Consumer Reports' study across over 400 participants, which showed the difficulty for individuals to detect such pricing without disclosure.