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Gaurav Bathiya

Digital Revolution • 3m

wealth management is a broad and complex field. AI can automate and optimize some aspects, but there are limitations, especially when it comes to: 1. Personalized Financial Planning – AI lacks the deep understanding of personal goals, emotions, and real-life context that a human advisor brings. 2. Local Data & Regulations – Many financial decisions depend on country-specific tax laws, market conditions, and even cultural factors, which AI may struggle to interpret. 3. Market Instability & AI in Trading – Since many traders use AI-driven strategies, markets become more volatile as AI reacts to AI, leading to unpredictable trends and flash crashes. So while AI is a great tool for data analysis, automation, and even portfolio optimization, a human touch is still needed for strategic decision-making, risk management, and adapting to unique financial situations.

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