Top Reasons to Train Your Team on Copilot in 2025
AI adoption is accelerating, with tools like Microsoft Copilot, businesses are reshaping workflows across departments, but without proper training, these tools risk becoming underutilized or even counterproductive.
Recent studies and real world examples show why training is key to unlocking Copilot’s full potential, and here are the reasons.
Visualizer by Tung Lam on Pixabay.
70% of Copilot users feel more productive, when they are trained
A Forrester Consulting study commissioned by Microsoft found that 70% of Copilot users reported improved productivity, but only after receiving structured training. Untrained users reported lower satisfaction and slower adoption rates, because they lacked the ability to use the tool at its full potential.
Trained teams make fewer mistakes
Without training, Copilot suggestions may introduce bugs or inefficiencies. A 2024 report by Harness found that 67% of developers spent more time fixing issues caused by Copilot when they hadn’t received guidance. Additionally, 78% of developers spend at least 30% of their time on manual, repetitive tasks instead of delivering innovation. With training, teams understand how to verify and adapt outputs, reducing technical debt and deployment errors, as well as saving time that can be redirected toward delivering innovative products.
AI proficiency will be a competitive advantage
In 2025, companies aren’t just looking for digital tools, they're looking for teams who know how to use them effectively. AI proficiency has become a strategic asset, and the most competitive teams are those that don’t just have access to tools like Microsoft Copilot, but know how to integrate them into daily workflows. According to LinkedIn’s latest report, AI and machine learning are among the most in-demand skill areas, showing that the pressure is on for organizations to upskill their people. That’s why Copilot training must go beyond theory: it needs to be hands-on, practical, and tailored to the real needs of your team. Without it, your company risks falling behind those that are already investing in AI-ready teams.
Visualizer by ThisIsEngineering on Pexel.
Empower teams, don’t alienate them
One of the biggest mistakes companies make is enforcing AI adoption through top-down mandates that ignore team dynamics and daily workflows. But when teams are empowered instead of pressured, the results speak for themselves.
As reported in LeadDev, companies that allowed engineers to experiment with different AI tools and backed that with support and practical training saw a significant increase in engagement and productivity. Developers felt ownership over their tools and were more motivated to integrate AI in a way that made sense for their own tasks. The article notes examples of productivity improvements up to 40%, attributed to this flexible, trust-based approach.
The lesson? AI tools are powerful, but culture determines whether they succeed. Respecting your team’s autonomy and providing meaningful Copilot training is key to unlocking real performance gains.
