Antitrust Chronicle®

Dear Readers,   Competition compliance has never been static. What began as a discipline focused primarily on preventing cartels and managing interactions with competitors has steadily expanded to encompass broader...

In this article, Joe Murphy argues that many companies continue to underestimate what constitutes an effective compliance program. Moving beyond policies and periodic training sessions, he examines the practical steps...

The use of algorithmic and artificial intelligence tools to assist businesses with pricing decisions has generated unprecedented antitrust scrutiny across federal agencies, federal courts, and state and local legislatures. This...

The Department of Justice’s Antitrust Division recently introduced a Whistleblower Rewards Program that offers financial incentives for reporting antitrust-related crimes, marking a significant development in the Division’s longstanding enforcement framework....

Digital markets have given rise to additional sources of antitrust risk, including product architecture, platform governance, and data-driven design choices, alongside traditional concerns such as cartel conduct, bid rigging, and...

This article examines the evolution of antitrust enforcement on information sharing in the wake of the Department of Justice’s recent cases against Agri Stats and RealPage.  With the rescission of...

Dear Readers,   Artificial intelligence has already transformed the competitive landscape, but the emergence of agentic AI marks a qualitatively different development. Rather than simply generating information or recommendations, AI...

The digital economy is becoming increasingly automated. Moving beyond traditional machine-learning systems, companies are rapidly adopting AI agents and agentic AI systems capable of autonomously performing complex tasks and streamlining...

In this article, Anant Raut considers the broader regulatory challenges posed by agentic AI. As these systems become more autonomous and capable of acting independently, regulators face difficult questions regarding...

Agentic AI can extend the reasoning capabilities of Large Language Models (“LLM”) into real world action beyond mere text production. AI agents can operate tools and thereby render workflows more...

This article examines the evolving legal landscape surrounding AI-assisted pricing systems. While these tools can generate efficiencies and other procompetitive benefits, regulators, courts, and lawmakers are increasingly scrutinizing how they...

Agentic AI is emerging to perform tasks that human consumers have done by themselves using traditional market mechanisms for decades. Current trends suggest that the AI models that are driving...