Human-Robot Interactions in Investment Decisions

Milo Bianchi et Marie Brière


We study the introduction of robo-advising on a large set of Employee Saving Plans. Differently from many services that fully automate portfolio decisions, our robo-advisor proposes investment and rebalancing strategies, leaving investors free to follow or ignore them. The resulting human-robot interactions occur both at the time of the subscription and over time, as the robot sends alerts when the investor’s portfolio gets too far from the target allocation. We show that the robo-service is associated with an increase in investors’ attention and trading activities. Following the robot’s alerts, investors change their rebalancing behaviors so as to stay closer to their target allocation, which results in larger portfolio returns. Counterfactual returns induced by automatic rebalancing by the robot would be only slightly higher, suggesting that on average the financial cost of letting investors retain control is not large.


Robo-Advising; Human-robot Interaction; Financial Inclusion; Portfolio Dynamics; Long-Term Investment;

Codes JEL

  • G11: Portfolio Choice • Investment Decisions
  • G41:
  • G23: Non-bank Financial Institutions • Financial Instruments • Institutional Investors
  • D14: Household Saving; Personal Finance
  • G51:


Milo Bianchi et Marie Brière, « Human-Robot Interactions in Investment Decisions », TSE Working Paper, n° 21-1251, septembre 2021, révision mars 2024.


Milo Bianchi et Marie Brière, « Human-Robot Interactions in Investment Decisions », Management Science, mars 2024, à paraître.

Publié dans

Management Science, mars 2024, à paraître