Robo-advisors are gaining momentum, as they aim to provide personalized and low-cost financial advice (Jung et al., 2019). However, the effectiveness of robo-advisory is bounded by the lack of trust (Jung et al. 2018). Anthropomorphism or robo-advisor resemblance to a human (i.e., avatar, name, or gender) can remedy that. Indeed, robo-humanization can establish trust and impact on behavioral intents toward the advisory technology through social presence (Go & Sundar, 2019), warmth (Cyr et al., 2009), perceived expertise of the advisor (Qui & Benbasat, 2009), including perceived integrity and persuasiveness (Tan & Liew, 2020). Gender can amplify anthropomorphic cues and, thus, increase trust (Beldad et al., 2016). Finally, trust toward the technology is directly related to its adoption intent (Bruckes et al., 2019).