In the past decade, blockchain technology has become ubiquitous in our society to distribute, encrypt, and secure digital transactions in a highly decentralized network. This technology has been used in several applications such as digital currencies, health care, energy markets, and a range of other governance issues. To contribute to the greater theoretical discussion, this paper explores the potential of using complexity science to design a good antitrust policy for blockchain. Particularly, this work provides an intellectual framework (i.e., complex adaptive systems perspective and path dependence) and methodological tools (i.e., agent-based modeling) to explore the dynamics of the antitrust regulatory environment.