#CommunityAMA The integration of AI into Forex trading introduces not only innovation but also the potential for market manipulation. Advanced algorithms can process and act on market data in milliseconds, exploiting tiny price movements for profit. While this offers efficiency, it also raises concerns about fairness, especially when AI systems use strategies that mimic manipulation—such as spoofing or quote stuffing—even unintentionally. These actions can distort price signals and disadvantage human or slower algorithmic traders. Because AI systems learn from historical data, they may discover and execute aggressive tactics that, while technically legal, undermine market integrity. The speed and complexity of AI decisions also make detection difficult for regulators, allowing manipulative behaviors to go unnoticed or unpunished. Moreover, the use of AI by large institutions with superior resources could lead to an uneven playing field, concentrating power in the hands of a few and potentially sidelining smaller participants. Without strict oversight and clear ethical boundaries, AI could be used to engineer artificial volatility, trigger stop losses, or mislead other market participants—all forms of manipulation in practice if not in law. To prevent this, regulatory bodies must develop tools that match AI’s sophistication and ensure transparent algorithmic behavior, promoting a Forex market that is both innovative and just.