80 VIEWPOINT Collaboration is under pressure from silos, outdated tools and endless admin. Miro and Microsoft are using AI to break down barriers and free teams to focus on innovation HARKAMAL SINGH: MIRO Unlocking collaboration with an AI-powered canvas Every organisation wants to build the next big thing, but turning creative ideas into a reality has never been easy. Today’s teams encounter speed bumps to effective collaboration at every turn, from organisational silos that stoke context switching to the rising tide of administrative upkeep, endless emails and constant meetings. But now, AI offers a new path forward for more effective, efficient collaboration. When teams embrace AI as a core partner, rather than just another tool, they can leverage these new technologies to overcome many blockers that hinder collaboration and stall momentum. Together, Miro and Microsoft are committed to enhancing collaboration in modern organisations by creating genuine interoperability between our AI-powered canvas and the Microsoft 365 ecosystem. To better understand the current state of collaboration and how AI can help, we recently surveyed 6,100 global knowledge workers (2025 Momentum at Work Report). Our findings generate new insights into the biggest challenges facing the work that drives innovation. Collaboration is about more than getting great work done – it’s central to what makes work work. In fact, knowledge workers rank collaboration as a top determinant of a good workday. We find that endless task work is one of the biggest challenges to collaboration – and a prime use case for AI. For every one hour of creative, strategic thought work, knowledge workers spend three hours on administrative tasks, emails and meetings. When these important, yet routine, tasks take over, the projects that rely on human knowledge, skills and experience are put on the backburner. Knowledge workers attribute the rising tide of task work primarily to insufficient tooling: 58 per cent agree that outdated tools and technology are a leading factor, while 43 per cent cite fragmented toolsets and 39 per cent point to inadequate use of AI. This repetitive maintenance work leaves teams drained and reduces productivity: 62 per cent of knowledge workers agree that these maintenance tasks stall momentum in their organisation. Alongside pervasive chores, teams must also navigate deeply siloed organisations. Silos interfere with effective collaboration by introducing unnecessary divisions and creating a culture of continuous context switching. “With AI as a trusted partner, teams will be able to push past the historical barriers to effective collaboration”
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