A new study released by Miro reveals a widening gap between the promise of artificial intelligence and the reality of implementing it inside organizations, with many teams reporting they are stuck in fragmented workflows and disconnected AI collaboration tools. The report, commissioned from Forrester Consulting and titled “Collaboration is AI’s Biggest Opportunity,” highlights how business leaders worldwide acknowledge the transformative potential of AI but are hindered by technology choices that complicate teamwork rather than accelerate it.
The study surveyed more than five hundred global business leaders and found overwhelming agreement that improving collaboration is essential to achieving organizational goals, with eighty nine percent identifying teamwork as a top priority. More than half of respondents, fifty four percent, said they are optimistic about AI’s potential to improve team collaboration and creativity. However, the same respondents expressed concerns that the rapid adoption of new tools is contributing to siloed work rather than enabling unified innovation.
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A key tension emerges in how AI is being deployed. Three quarters of respondents believe most AI tools focus too heavily on supporting individual productivity instead of enabling group problem solving and collective execution. Nearly four in ten leaders said this emphasis on individual outputs has negatively affected return on investment from AI initiatives. Switching between multiple platforms introduces friction and distractions, with sixty nine percent agreeing that juggling separate AI tools and core productivity systems disrupts workflow continuity.
Despite these challenges, confidence remains high that AI can drive meaningful business outcomes. More than half of leaders cited improvements in customer experience and revenue as anticipated benefits of AI integration, while forty six percent expect enhanced efficiency and faster time to value. Leaders also believe AI can empower employees by reducing manual work: fifty four percent expect AI to enable more strategic focus, and fifty one percent foresee greater automation of repetitive tasks.
For AI to reach its full potential inside enterprises, leaders are looking for solutions that enable collaboration where work naturally happens rather than forcing teams to adapt to scattered tools. Eighty two percent said they want AI capabilities built directly into collaborative work environments, particularly those that support shared visual canvases and context rich prompting. These environments allow teams to reference project materials collectively and build alignment faster.
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Andrey Khusid, CEO and founder of Miro, underscored the urgency of shifting implementation strategies. “There is tremendous potential for AI to support collaboration,” Khusid said. “But in the AI revolution, teamwork has been left behind. To be truly effective, AI should operate where teams work: supporting collaboration in the flow of work, informing decisions with full team context, and driving towards results faster. Embedding AI where teamwork happens achieves more than just improving productivity, it enables team and organization wide collaboration, innovation, and transformation.”
The study also shows that visual and canvas based collaboration is already playing a critical role in innovation. Seventy nine percent of respondents said that visual collaboration tools have increased or significantly increased usage across their organizations, and forty three percent described them as critical to workflow success.
As businesses prepare for 2026, the findings highlight a pivotal inflection point for AI collaboration. While AI promises greater efficiency, creativity, and business value, the next stage of enterprise maturity will depend on breaking down technology silos and connecting teams through shared, intelligent environments that amplify collective work rather than fragmented individual tasks.
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