In the shadowy battleground of e-commerce, the fight against fake reviews has become a high-stakes arms race powered by AI. Platforms deploy increasingly sophisticated machine learningMachine learning algorithms to detect deception: analyzing patterns, language cues, and behavioral signals at scale. But fraudsters adapt just as quickly, using AI themselves to generate reviews that mimic genuine users with uncanny accuracy. What begins as a technological safeguard soon escalates into a cycle of continuous escalation, where each new algorithmic defense triggers an even more advanced offense. As both sides harness AI to outsmart one another, the boundaries of digital deception are pushed further, exposing the limits of automated trust and the urgent need for human oversight in this relentless game of cat and mouse.