#CommunityAMA AI-driven scalping, which involves executing high-frequency trades to exploit minute price discrepancies, has stirred ethical debate regarding its impact on market health. While legal in many jurisdictions, the use of sophisticated AI algorithms for scalping raises questions about fairness, accessibility, and long-term market stability. These algorithms operate at speeds far beyond human capability, often outpacing retail traders and creating an uneven playing field where only those with advanced infrastructure can compete. From an ethical perspective, AI scalping may distort price discovery and liquidity. Rapid-fire trades can artificially inflate or suppress prices, leading to short-term volatility that does not reflect genuine market sentiment. This behavior may undermine the confidence of traditional traders, particularly those without access to the same level of technology. Moreover, excessive reliance on AI scalping could result in markets becoming overly mechanistic and vulnerable to algorithmic feedback loops during times of stress. Maintaining market health requires careful oversight of AI scalping practices. Regulators and brokers must ensure that such strategies do not lead to systemic risks or exploit technical inefficiencies at the expense of transparency and fairness. As Forex markets evolve, the ethical deployment of AI in high-frequency environments will be crucial to preserving a balanced ecosystem where both speed and integrity coexist.