
Content Creator & former Microsoft Product Manager
In a recent blog post by Kevin Stratvert, he summarizes a YouTube tutorial hosted by Garrick Chow that explains how to use Copilot inside OneDrive. The post highlights key demonstrations such as the floating Copilot button, multi-file comparison, and audio overviews, and it frames these features as productivity tools for everyday document work. Consequently, readers get a concise guide to what the video covers without having to watch the entire demonstration. This article reviews those takeaways and evaluates the tradeoffs and challenges that come with adopting the new features.
The tutorial opens by showing the new floating Copilot button that appears over supported files, which offers fast access to AI-powered actions like summarizing or asking questions. Viewers then see how Copilot can analyze multiple files at once and compare documents to surface differences, saving users from manually opening each item. Additionally, the video walks through accessing Copilot from Windows File Explorer, which streamlines workflows for people who work across the desktop and web. Finally, the host demonstrates audio overviews that convert documents and meeting transcripts into listenable summaries for mobile or web playback.
First, Copilot is invoked by hovering over supported files in OneDrive and clicking the floating button, which presents suggested actions and a field for custom questions. Next, users can choose to summarize a single file or request a combined analysis of several documents, which is useful when preparing reports or reviewing meeting notes. Moreover, selecting up to five files enables a quick comparison that highlights edits and differences, speeding document review. Finally, users with eligible accounts can generate audio versions of files so they can listen while commuting or multitasking.
On the benefit side, Copilot can save substantial time by condensing long documents, surfacing themes across files, and reducing repetitive review tasks. However, there are tradeoffs: reliance on AI summaries can miss nuance, and users must weigh convenience against the need for precise verification when accuracy matters. In addition, file-type support currently focuses on text-based documents such as Word and PDF, so media and complex images may not get the same level of analysis. Therefore, organizations should balance adoption speed with policies that require human review for critical material.
Copilot’s ability to generate audio overviews improves accessibility by letting people listen to documents, which is especially helpful for those who prefer auditory learning or need hands-free access. At the same time, organizations must address privacy and governance: because AI examines file contents, administrators need clear policies on data access and retention to prevent accidental exposure of sensitive information. Furthermore, Copilot in OneDrive is rolling out gradually and requires a compatible Microsoft 365 subscription or an eligible work or school license, so not every user will see these features immediately. As a result, teams must plan training and phased rollout to match licensing and governance requirements.
Looking ahead, Microsoft is expanding Copilot integration across its productivity suite and introducing deeper capabilities in upcoming apps and updates, which suggests wider adoption over time. Meanwhile, practical advice for teams is to start with pilot projects: test Copilot on routine document workflows, collect feedback, and refine guidance about when to trust AI outputs and when to require manual checks. Ultimately, the value comes from combining AI efficiency with human judgment so organizations can scale productivity while maintaining quality and compliance.
In summary, the video covered in Kevin Stratvert’s post shows that Copilot in OneDrive can simplify file management through fast access, multi-file analysis, and audio summaries. While these features promise time savings and better accessibility, they also raise important questions about accuracy, data governance, and rollout readiness. Therefore, teams should evaluate the tradeoffs, test the tools in low-risk settings, and establish clear review practices before relying on AI for mission-critical work. By doing so, organizations can harness Copilot’s benefits while managing its limitations.
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