As AI begins automating routine tasks in wealth management, firms grapple with redefining training pathways for junior advisers to balance technological efficiency with essential human skills.
Wealth management firms have spent years perfecting the first 90 days for junior advisers: compliance, licensing, introductions and enough supervised work to get them started. The harder question now is what comes next, as artificial intelligence begins to take over the routine chores that once taught newcomers how the business works.
For decades, the post-induction phase was where younger advisers learned by doing. They researched client questions, drafted emails, prepared meeting notes and worked through basic planning exercises that doubled as training. John O’Connell, founder and chief executive of the Oasis Group, said a junior team member might once have built up knowledge on products such as 529 plans by handling the research, drafting the message and routing it through a senior adviser for approval. If AI now writes the email, O’Connell warned, one of the simplest ways of learning disappears.
That concern is increasingly shared inside the industry. A report from FP Transitions and the Finserv Foundation found that 47% of next-generation advisers fear job displacement from AI, while 64% worry about overreliance on automation or a loss of human interaction. At the same time, the consultancy WealthStream argues that younger recruits may be able to reach productive work much faster if AI handles the repetitive tasks that used to consume their early years. Dan Daum, WealthStream’s founder and chief executive, said technology can remove years of waiting and allow capable recruits to contribute from day one.
The tension is not only about efficiency but about what firms are prepared to teach when software is doing more of the work. Elise Rogers, vice president of marketing at FP Transitions, said in a press release that AI can unintentionally strip away the developmental experiences that help young professionals become advisers in the first place. She said firms still need clear pathways for recruits to learn, make mistakes, build judgement and develop client relationships. O’Connell echoed that uncertainty, saying the industry has not yet settled how it will train new staff as AI changes the pace of change.
That is already forcing firms to think more deliberately about policy. In an FP Transitions survey, 73% of advisers said it was at least moderately important for prospective employers to prioritise AI adoption over the next three years and provide training in the tools. O’Connell recommends that firms spell out what AI is allowed to do before recruits start, including which tools are approved and where the guardrails sit. For firms that market themselves around financial planning, he said, that may mean drawing a hard line against AI making planning decisions. Daum said the work that replaces the discarded tasks should focus more on the human side of advice, because that is still what attracts many young advisers in the first place.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
