  There is an increasing interest in the entwining of the field of antitrust
with the field of Artificial Intelligence (AI), frequently referred to jointly
as Antitrust and AI (AAI) in the research literature. This study focuses on the
synergies entangling antitrust and AI, doing so to extend the literature by
proffering the primary ways that these two fields intersect, consisting of: (1)
the application of antitrust to AI, and (2) the application of AI to antitrust.
To date, most of the existing research on this intermixing has concentrated on
the former, namely the application of antitrust to AI, entailing how the
marketplace will be altered by the advent of AI and the potential for adverse
antitrust behaviors arising accordingly. Opting to explore more deeply the
other side of this coin, this research closely examines the application of AI
to antitrust and establishes an antitrust vigilance lifecycle to which AI is
predicted to be substantively infused for purposes of enabling and bolstering
antitrust detection, enforcement, and post-enforcement monitoring. Furthermore,
a gradual and incremental injection of AI into antitrust vigilance is
anticipated to occur as significant advances emerge amidst the Levels of
Autonomy (LoA) for AI Legal Reasoning (AILR).
