mlsanityData to 7 Oct 2026

Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Work

arXiv 2609.29901 ↗First posted 24 Sep 2026cs.HC cs.AIcited by 0

On the map: LLM agents and tool use → Social simulation and multi-agent debate also fits: General LLM agent frameworks and benchmarks

Abstract (arXiv)

Enterprise AI is transitioning from single-user, reactive tools toward proactive, multi-user 'teammates,' but our empirical understanding of this transition is limited. In this paper, we present an in-situ qualitative study of a persistent, proactive AI agent 'teammate' deployed across multiple teams in a large technology company. Our findings reveal the boundaries of the human-agent workplace are actively in flux, triggering breakdowns and negotiations across: 1) tacit rules of collaborative human workflows, 2) the relational boundaries of this new non-human actor, and 3) the redistribution of trust and human agency. We use these early micro-negotiations as signals to chart a new research, design, and organizational agenda that intentionally preserves human agency in a workplace shared with non-human organizational actors.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 21 of its 63 references that are in the map. First posted on arXiv 24 Sep 2026.

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21 of 63 references.

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  1. 2026Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation12 Feb

Other references · 20

  1. 2024Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistancecited by 84
  2. 2023Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholderscited by 12
  3. 2025MAP: Multi-user Personalization with Collaborative LLM-powered Agentscited by 7
  4. 2024CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Devicecited by 6
  5. 2025Towards AI as Colleagues: Multi-Agent System Improves Structured Ideation Processescited by 6
  6. 2025Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globallycited by 6
  7. 2026From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interactioncited by 6
  8. 2026Multi-User Large Language Model Agentscited by 6
  9. 2024Cognitive Spillover in Human-AI Teamscited by 3
  10. 2024Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worldscited by 3
  11. 2025When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplacecited by 3
  12. 2025How Tech Workers Contend with Hazards of Humanlikeness in Generative AIcited by 3
8 more
  1. 2026To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammatescited by 3
  2. 2026Beyond Anthropomorphism: a Spectrum of Interface Metaphors for LLMscited by 2
  3. 2026Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecyclescited by 2
  4. 2025Adaptive Human-Agent Teaming: A Review of Empirical Studies from the Process Dynamics Perspectivecited by 1
  5. 2026AI as Teammate or Tool? A Review of Human-AI Interaction in Decision Supportcited by 1
  6. 2026CoDesignAI: An AI-Enabled Multi-Agent, Multi-User System for Collaborative Urban Design at the Conceptual Stagecited by 1
  7. 2026What Types of Human-AI Teams Exist?cited by 1
  8. 2026The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Makingcited by 1

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  7. 2026ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
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