After Day 91: How AI Changes Training for New Advisors

Wealth management firms are rethinking training for new advisors after the standard 90-day onboarding period as artificial intelligence takes on routine tasks such as client research, drafting emails and preparing meeting notes. Firms face decisions about which early-career duties to keep, which to automate and how to ensure learning continues.

Historically, junior advisors spent years on repetitive tasks that taught product details, firm processes and client communication. Tasks such as researching investment options, preparing proposals or explaining a 529 plan from research to pitch provided practical experience and feedback from senior staff. Those on-the-job assignments often defined a six-to-eight-year progression to independent client work.

AI tools can now complete many of those entry-level tasks, reducing time needed to produce client-ready work. Firms must assess how the shift affects skill development when basic research and drafting no longer require junior staff. Some leaders say the technology can speed productivity for capable hires, while others caution that automation may remove opportunities to build judgment and relationships.

A survey of next-generation advisors by a consultancy and a foundation found that 47% fear job displacement from AI and 64% worry about overreliance on automation or a loss of human interaction. The same survey reported that 73% of advisors view employer AI adoption and training as at least moderately important over the next three years.

Dan Daum, founder and CEO of WealthStream, observed that technology can accelerate new advisors’ productivity and allow competent recruits to become productive more quickly. John O’Connell, founder and CEO of the Oasis Group, warned that letting AI write routine emails and drafts can remove learning moments such as researching a product, writing a recommendation and discussing it with a senior advisor. Elise Rogers, vice president of marketing at FP Transitions, urged firms to create clear pathways that let new advisors learn, make mistakes and build judgment even as automation expands.

Firms considering changes are auditing which entry-level tasks AI will reduce or replace and discussing acceptable-use policies for new hires. Some recommend naming approved tools and setting guardrails on when and how AI can be used. In firms that emphasize financial planning, leaders are debating whether to restrict AI from drafting core planning work so staff retain hands-on practice.

Where tasks are automated, several firms plan to shift training toward human skills: client communication, relationship building and ethical judgment. Managers are discussing approaches that require junior advisors to present, defend and refine AI-prepared recommendations to seniors and clients, preserving assessment and feedback opportunities.

The industry is testing how to give new advisors enough real-world exposure when many early tasks are automated. Firms that map which activities teach specific skills and replace lost repetitive tasks with supervised, higher-value experiences will define what competency looks like after the first 90 days.