When Influencers Delegate Replies: How Social AI Agents Shape User Engagement

Forthcoming at Information Systems Research

39 Pages Posted: 24 Jun 2025 Last revised: 8 Apr 2026

See all articles by Maggie Mengqing Zhang

Maggie Mengqing Zhang

University of Virginia - McIntire School of Commerce

Yang Gao

University of Illinois at Urbana-Champaign - Gies College of Business

Jingjing Li

University of Virginia - McIntire School of Commerce

Steven L. Johnson

University of Virginia - McIntire School of Commerce

Date Written: June 23, 2025

Abstract

As social media platforms deploy LLM-powered agents to help influencers manage social relationships with users, it remains unclear how this delegation impacts user engagement. Automating interactions provides scalability and efficiency for influencers, but it may weaken the influencer-user relationship if the agents fail to serve as effective social delegates. To explore this question, we empirically investigate the impact on user engagement when influencers delegate social interaction tasks, such as replying to comments, to a Social AI Agent, an LLM-powered proxy that responds on behalf of an influencer. Leveraging the rollout of a Social AI Agent feature on a major social media platform, we use a staggered difference-in-differences design to compare engagement behaviors between users who received an AI reply (i.e., a reply from an influencer's Social AI Agent) and those who did not. Our results show that receiving an AI reply significantly increases user commenting on subsequent influencer posts, particularly when AI replies amplify an influencer’s social presence, as reflected in content relevance, stylistic alignment, and reply timeliness. We also find heterogeneous effects based on influencer-user relationships: engagement gains are stronger among loyal followers but weaker for commercialized influencers and those in the technology domain. Additionally, reply scarcity amplifies the effect: engagement increases more when influencers rarely replied previously or when fewer AI replies appear under the focal post. The engagement boost extends to both sponsored and non-sponsored posts as well as user reposting behavior, while influencers themselves also post more frequently after adopting AI agents. This study contributes to the literature on AI delegation and influencer engagement by highlighting when and how delegating social relationship management to Social AI Agents can enhance user engagement.

Keywords: AI Replies, Delegation, Social AI Agent, Social Relationship Management, Influencer-User Engagement, Large Language Model, Social Media

Suggested Citation

Zhang, Maggie and Gao, Yang and Li, Jingjing and Johnson, Steven L., When Influencers Delegate Replies: How Social AI Agents Shape User Engagement (June 23, 2025). Forthcoming at Information Systems Research, Available at SSRN: https://ssrn.com/abstract=5316681

Maggie Zhang (Contact Author)

University of Virginia - McIntire School of Commerce ( email )

P.O. Box 400173
Charlottesville, VA 22904-4173
United States

Yang Gao

University of Illinois at Urbana-Champaign - Gies College of Business ( email )

1206 South 6th Street
IL 61820

Jingjing Li

University of Virginia - McIntire School of Commerce ( email )

P.O. Box 400173
Charlottesville, VA 22904-4173
United States

Steven L. Johnson

University of Virginia - McIntire School of Commerce ( email )

P.O. Box 400173
Charlottesville, VA 22904-4173
United States

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