Multiplayer AI becomes standard, replacing individual chatbots in workplaces

Artificial intelligence (AI) is rapidly transforming workplaces, but companies are moving beyond 'single-player' chatbots towards collaborative 'multiplayer' AI, according to Gabriel Hubert, CEO of AI company Dust.

Traditionally, employees have used isolated AI tools for individual tasks. In a multiplayer AI model, agents are shared and used collaboratively across different departments. These agents learn from a company's data, enabling process automation and workflow sharing.

"One person learns a better way to do something, but that improvement doesn’t necessarily spread," Hubert explains. With multiplayer AI, agents can "start participating in the same workflows as other people and other agents." They can hand work over, reuse what other teams have learned, and contribute to a shared system rather than starting from scratch each time.

An example could be a 'blog writer' agent generating content, then passing it to a 'LinkedIn' agent to draft social media copy based on shared context. This model also offers potential for more efficient sales, where agents can gather information, qualify leads, and update CRM systems, while ensuring uniformity within the team.

However, these systems also present challenges. IT governance and security models may not fully meet the new demands. In the EU alone, 55% of large enterprises use AI, but only a quarter believe their governance models are fully adequate. This can lead to unauthorized 'shadow AI' within organizations. Dust aims to address this by modeling agent data access rights to inherit access from the space they are built on, ensuring users only see data they are permitted to view.