> This article examines algorithmic price discrimination from an EU perspective and whether the current EU competition law framework is adequate to tackle algorithmic price discrimination that harms consumers. It argues for robust competition law enforcement under Article 102(a) Treaty on the Functioning of the European Union to ensure that algorithmic pricing does not become a tool for exploitative abuse in the digital economy.
>
> [https://doi.org/10.1093/joclec/nhag006](https://doi.org/10.1093/joclec/nhag006)

> Traditionally, firms set prices in response to market conditions

Y'all don't have apps that give personal discounts? I thought that this has been the norm since 25 years or so?

optimism

Seems like it’s more about resellers, and from what they’re saying, this could be breaking European competition law.

This isn’t a matter of justice. Everyone has the right to ask whatever price they want for their goods and services. 

It’s not like consumers are required to buy at particular prices. So, why should producers be required to sell at particular prices?

Undisciplined

This can exploit consumers' lack of transparency and can lead to unfair pricing where some people pay significantly more for the same product. This practice undermines trust in the market and can disproportionately affect those who are less informed or have fewer alternatives.

Tjacten

AI lets firms tailor prices to each user, raising fairness concerns as consumers may unknowingly pay more than others

Artificial intelligence could soon allow powerful companies to charge each customer a different price for the same product, based on what they think each individual is willing to pay.

 co-authored by competition law academic Dr Miroslava Marinova at the University of East London, which argues that the real risk is not simply higher prices, but hidden, personalised pricing that consumers cannot see or understand.

Traditionally, firms set prices in response to market conditions, such as demand, costs, or competition, meaning that all consumers are offered broadly the same price at a given moment.

A different model is now emerging. Algorithmic personalised pricing refers to the use of data-driven systems to adjust prices at the level of the individual consumer. The objective is not simply to respond to market demand, but to predict how likely a particular consumer is to accept a higher price rather than search elsewhere.

econ

> *AI lets firms tailor prices to each user, raising fairness concerns as consumers may unknowingly pay more than others*
>
> Artificial intelligence could soon allow powerful companies to charge each customer a different price for the same product, based on what they think each individual is willing to pay.
>
> That is the warning from [new research](https://academic.oup.com/jcle/advance-article-abstract/doi/10.1093/joclec/nhag006/8539553) co-authored by competition law academic Dr Miroslava Marinova at the University of East London, which argues that the real risk is not simply higher prices, but hidden, personalised pricing that consumers cannot see or understand.
>
> Traditionally, firms set prices in response to market conditions, such as demand, costs, or competition, meaning that all consumers are offered broadly the same price at a given moment.
>
> A different model is now emerging. Algorithmic personalised pricing refers to the use of data-driven systems to adjust prices at the level of the individual consumer. The objective is not simply to respond to market demand, but to predict how likely a particular consumer is to accept a higher price rather than search elsewhere.
>
> [**...read more at eurekalert.org**](https://www.eurekalert.org/news-releases/1123848)

~lol~lol