کیا AI مالیاتی مشیروں کی جگہ لے گا؟

The automation of advice started well before generative AI. Betterment and Wealthfront launched in the early 2010s, Schwab Intelligent Portfolios followed in 2015, and many large firms now offer automated or hybrid services. These platforms made diversified, rebalanced portfolios available cheaply and with low minimums. Robo-advisors registered with the SEC are investment advisers and have the same fiduciary duty as human advisers. SEC staff issued guidance on robo-advisers in 2017. Robo-advice grew, but it did not wipe out human advice. Several big institutions have scaled back or merged standalone robo products, while hybrid models kept growing. The reason is what clients actually pay for. Picking a portfolio is the easiest part to automate. The harder parts include: coordinating retirement income across accounts and tax brackets, planning around a business sale, divorce or inheritance, weighing insurance and estate decisions, and keeping clients from making emotional decisions at the worst time. Vanguard's "Advisor's Alpha" research estimates that advisors can add around 3 percentage points of net return in some circumstances, with behavioral coaching as the largest single part. Vanguard notes this is not a steady annual figure. A common misconception is that robo-advisors are "AI." Most are rules-based systems built on questionnaires, model portfolios and rebalancing thresholds, not generative models. Generative AI is having a different effect: it makes human advisors more productive by drafting meeting notes, summarizing documents, preparing reviews and answering routine service questions. The advisors most at risk are those whose main value is choosing funds, because software already does that cheaply. Advisors who do planning, relationship work and complex problem-solving are better placed, especially if they use AI to serve more clients at lower cost.