Financial Services
Research with 500+ investors revealed how real-world context changes preferences for human and AI financial advice.
A digital investment platform needed to understand why investors were reluctant to trust AI-driven recommendations and what would change their preferences. The findings would shape product strategy for account opening and investment allocation.
The Experiment
ArcticBlue A/B tested human and AI advice with more than 500 mass-affluent investors. Research examined both account-opening and investment-allocation decisions, introducing real-world constraints and context to understand how preferences changed.
The team compared investors’ default reactions with choices made under more specific circumstances. This distinguished a general attitude toward AI from willingness to use a particular advice experience.
Results
Investors initially placed greater trust in human advisors. When real-world constraints and context were introduced, AI became the preferred option in the tested situations.
The findings reframed product strategy around the circumstances in which investors would choose AI guidance, rather than assuming that a general preference for human advice applied to every decision.
Why it mattered
The research gave leaders a clearer basis for designing AI guidance around actual customer choices. Acceptance depended on the task and its context, helping the team focus on situations where an AI experience could be useful.
