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THE RISE OF MULTI PLAYER AI

India Today

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January 26, 2026

IN THE NEW AI ERA, CONTEXT OR LOCAL TEAM KNOWLEDGE IS THE REAL RAW MATERIAL. MULTI PLAYER AI WILL BE THE COLLEAGUE THAT HELPS EVERYONE MOVE FASTER WITH FEWER MISTAKES MADE

- By Rohan N. Murty

THE RISE OF MULTI PLAYER AI

Working with Al has mostly been a one-person sport till now. You open a chat window, ask for a draft, polish an email or summarise a report—it feels like a smarter keyboard. The year ahead will feel different. AI is moving from single-player to multiplayer. That is, shifting from helping individuals to participating in the shared flow of work in teams. Think less “my assistant” and more “our colleague”. It will show up in meetings, live inside project boards, sit within approval chains, keep track of decisions and smooth handoffs between departments. That shift matters because most productivity problems are not personal. They are social.

Coordination is the Real Productivity Leak

Ask any working professional where time goes and you will hear the same stories. Hunting for the right attachment, reconciling two versions of the same number, reexplaining what was decided last week. Waiting because another team did not have the full context.

In many organisations, a huge slice of the day goes into searching for or recreating information that already exists. The tragedy is that everyone is working hard, but not always on the right thing. Multiplayer AI is attractive because it targets that hidden tax: coordination.

A personal AI copilot can help you write faster. But a team-level AI can help you avoid the email chain that should not exist in the first place. They address the bigger, invisible tax inside organisations: the friction between people, teams and departments. They focus on the shared flow of work i.e., where handoffs break, context gets lost, and decisions quietly drift.

There isn't a uniquely Indian angle to this shift: it's a flat AI world. The move to multiplayer AI is being driven globally by distributed work and the need for agents that act reliably with the right context, not just smarter models.

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