Guiding you through the AI economy

AI is transforming how markets operate, creating new value chains, redefining competition, and presenting complex regulatory and legal challenges. For businesses, policymakers and regulators, understanding and responding to these changes requires more than a comprehensive examination of the economic risks and opportunities—it also calls for deep technical know-how.

At Oxera, we combine our proven expertise in economics and competition with specialised knowledge of AI systems, algorithmic decision-making and emerging technology markets. Whether you’re preparing for the implications of new regulation, facing scrutiny in a merger or antitrust case, or resolving disputes where AI plays a role, our team brings both a technical understanding of AI and economic rigour to help you navigate this complex landscape.

Designing and responding to AI regulation

The regulatory environment around AI is developing rapidly across the world, particularly in Europe. As policymakers grapple with algorithmic accountability, model governance and systemic AI risks, there are significant opportunities to shape effective AI regulation and respond to its design and enforcement. We work with businesses and regulators to ensure that technical understanding of AI and economic analysis inform AI governance—from market definition and risk classification to the assessment of compliance costs and competitive impact.

Mergers and antitrust in the AI era

As AI capabilities become central to business strategy, there will be increased regulatory focus on mergers and market behaviour involving AI technologies, platforms and data strategies. Oxera’s experience in merger control, abuse of dominance and vertical integration is directly applicable to these emerging cases. We understand the technical AI value chain—from training data and computer infrastructure to model deployment—and can help you assess competitive dynamics, market power and efficiencies in this complex space, including data network effects, algorithmic competition and barriers to entry in AI markets.

AI audits and economic evidence in disputes

The use of algorithmic decision-making raises new questions in commercial and regulatory disputes—from model bias and explainability to liability and consumer harm. Our data science and economics teams collaborate to provide robust AI audits, assess algorithmic outcomes and deliver expert evidence grounded in economic principles. Whether examining recommendation systems or automated pricing, or screening algorithms for internal assurance or formal proceedings, we help clients to demonstrate economic causation, quantify consumer impact and establish liability in cases where AI drives business outcomes.