#CommunityAMA The use of AI to predict central bank moves in Forex trading presents a deep ethical dilemma. On one hand, leveraging AI to analyze economic indicators, sentiment, and policy signals can enhance market efficiency and help traders anticipate interest rate changes or monetary interventions. On the other hand, it raises concerns about fairness, market distortion, and potential overreach. Central bank actions are meant to influence macroeconomic stability, not to be gamed for private profit. When AI models are trained to anticipate such moves—sometimes even parsing central bank language or officials’ behavior—they risk undermining the intent of these institutions. Traders using advanced AI tools may gain an edge over others, leading to asymmetry in information access and a widening gap between institutional and retail participants. Moreover, such predictive AI systems can create self-fulfilling prophecies. If enough algorithms expect a rate change and trade accordingly, they can shift currency values prematurely, potentially forcing a central bank’s hand or interfering with its policy goals. This disrupts the delicate balance of transparency and discretion on which monetary policy relies. To navigate this ethical landscape, clear boundaries must be established around AI's role in policy prediction. Without thoughtful regulation and self-restraint, the practice could erode trust in central banking and distort the global financial system.