Analysis Group Authors Win 2025 Antitrust Writing Award for Best General Economics Article

April 2, 2025

Analysis Group is honored to have three of its competition experts selected by the jury as 2025 Concurrences Antitrust Writing Award winners for the best business article in the General Economics category. The article, “Assessing Algorithmic Versus Generative AI Pricing Tools,” explores large language models (LLMs) and their use in setting prices.

With the development of pricing algorithms, companies gained the ability to optimize prices at speeds and capacities beyond what humans could achieve. While typical pricing algorithms often require advanced technical expertise and are costly to develop, generative AI models such as LLMs open a new era in the field of algorithmic pricing.

In their award-winning article, affiliate Maxime Cohen, Principal Jimmy Royer, and Manager Tim Spittle provide a primer on typical pricing algorithms, including why many companies use them and the various types on the market. They then describe how LLMs operate and how they increase access to data-driven pricing recommendations. The authors also analyze differences between typical algorithmic pricing tools and LLMs in terms of licensing and deployment, input and data, and risks and advantages.

Professor Cohen, Dr. Royer, and Mr. Spittle conclude by opining that LLMs offer an affordable and effective way for small firms to design pricing recommendations, which may increase competitiveness in markets in which gathering pricing intelligence is otherwise difficult or prohibitively expensive.

The Concurrences Antitrust Writing Awards, a joint initiative between the magazine and The George Washington University Competition Law Center, recognize compelling scholarship in the areas of antitrust and competitive markets. The six-month evaluation process for the 2025 awards involved more than 60 international antitrust experts who reviewed more than 1,100 submissions. The award-winning article was originally published in Law360.