Heavy AI users report gains that lighter users are missing
Fieldguide's survey of 400 professionals quantifies the AI adoption gap. Cerulli's data shows technology now decides where advisers move.
Fieldguide Inc., a financial AI software company, surveyed 400 auditing and advisory professionals in May. Fifty-one percent fell into the active-deployer group, meaning AI was embedded in most or all of their core workflows. The rest were casual users. PLANADVISER first reported the results.
The two groups split on every outcome. On profitability, 74.5% of active deployers said profits rose at least 10%. Only 52% of casual users did. Advisory revenue grew over two years for 77% of the heavy group. The light group came in at 62.8%. Capacity expanded moderately or significantly for 70% of active deployers. Among casual users, 46.9% reported the same. AI helped win or retain clients for 73.5% of heavy users. The light group's figure was 53.6%.
Fieldguide is upfront about the limits: the survey is self-reported, and these comparisons don't prove causation. Firms that were already growing well might simply have had the budget and confidence to push AI further. The numbers still stand, but as a correlation, not a guaranteed payoff.
The front-office gap
Cerulli Associates' third-quarter survey of advisers gives those adoption numbers a competitive edge. Among advisers who had just joined a broker/dealer, 54% said technology was among the most important factors. Compensation drew 50%. Autonomy drew 49%. For hybrid retirement advisers who ended an affiliation, 20% called the flexibility to choose technology systems a major factor. Another 40% called it moderate. Technology now drives recruiting and retention, not a cost-center decision.
Only 27% of advisers rated their tech very effective for client communication or for managing the operational side of client relationships. Regulatory compliance did better, at 46%. The most common answer across every category was 'somewhat effective.' Most advisory technology earns a C-plus where clients are touched.
Cerulli's own conclusion: technology providers have solved the back office faster than the front office, leaving an opening for wealthtech firms and asset managers. For advisory firms, the same finding reads as a competitive instruction. If a firm's advisers rate the client-facing toolkit only somewhat effective, the firm that fixes that first can tell a different story in recruiting conversations and client reviews.
A staffing decision first
Fieldguide's survey also tracked staffing changes. Among active deployers, 87% said AI led them to redesign roles and team structures. Eighty-one percent said it reshaped career paths for entry- and mid-level professionals. Among casual users, 60% redesigned roles. The career-path figure for that group was 65%. That gap is as much about planning as about technology.
These role changes aren't a layoff signal; nothing in the survey measures head count. But the 87% figure is a warning for firms that treat AI adoption as a software purchase. The teams with the best outcomes also redesigned their work around the tool, changing what junior advisers do, where paraplanners spend time and how career paths are built.
For practice owners, the survey is a benchmark. Treat AI as a check-off item and you get the lighter outcomes. Embed it into core workflows and you get higher profitability, better staff retention and an easier path to new clients. The open ground is the front office — client communication and the operational work around it — where most advisers still rate their tech only 'somewhat effective.' The first firms to work that ground well will have both a client story and a recruiting story to tell.