AI has rapidly transformed the workplace, handling repetitive tasks that once consumed employees’ time. According to Gabriel Hubert, CEO and cofounder of AI company Dust, the workplace is shifting toward multiplayer AI, where agents become shared tools used collaboratively across departments rather than isolated chatbots for individual use.

In a single‑player model an employee opens a chatbot, pastes context, gets a response, and applies it alone; improvements stay with the individual. Hubert explains that multiplayer AI lets agents “start participating in the same workflows as other people and other agents,” handing work off, reusing learned processes, and contributing to a shared system. Examples include a ‘blog writer’ agent drafting a post then passing it to a ‘LinkedIn’ agent for social copy, or a sales workflow where an agent gathers data, applies qualification criteria, updates the CRM, and routes the lead.

Governance, security and scaling pose challenges as organisations adopt multiplayer AI. Across the EU, 55% of large enterprises use AI, yet only a quarter believe their governance models are fully equipped, according to Smarsh data, leading to shadow AI use. At Dust, administrators control data access for agents, deciding which spaces are open to the whole company or restricted to specific teams, ensuring agents inherit the access of their space and cannot surface data to users without permission.

Hubert stresses keeping a human in the loop, noting that organisational factors drive more than twice the AI impact of individual effort. Dust promotes the role of “AI operators” who ask whether a process should still exist as AI absorbs execution. By 2027 he hopes organisations focus on managing an agent workforce, valuing the loop between agents, company‑owned context, and people who continually improve both.