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Report details
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30
Figures
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Tables
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Executive Summary
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Introduction
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Research Findings
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End-user AI Usage Already Spans Many Areas and Is Expected to Grow
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Organizations Are Eager to Deploy Endpoints With Local AI Processing
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UCC Platform AI Features Are Generally Useful and in Widespread Use
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Significant Disconnects Exist Between IT and End Users
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Shadow AI Is Widespread, Though Perhaps Less Than IT Decision-makers Anticipate
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Conclusion
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Research Methodology
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Respondent Demographics
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Research Report: AI at the Endpoint: The Impact of AI on End Users and Endpoint Devices
Research Report
Apr 02, 2025
by
Gabe Knuth, Emily Marsh, Enterprise Strategy Group Research
As AI adoption accelerates, organizations are evaluating how AI-driven workloads impact end-user support, digital workspaces, and endpoint strategies. While AI PCs introduce new possibilities for local AI computing capabilities, their integration into enterprise environments is at an early stage, with practical use cases still emerging. Understanding how businesses align these technologies with IT and business objectives is important for establishing a baseline of expectations, driving adoption, and maximizing their potential.
At the same time, IT and security teams face growing challenges related to “shadow AI”—unsanctioned AI tools used by employees. These tools may enhance individual or team productivity but also introduce security and data governance risks. Organizations must assess the scope of this trend, the potential benefits, and the necessary controls to mitigate risks while supporting innovation.
Additionally, AI PCs are entering the market amid widespread endpoint refresh cycles, driven by both Windows 11 upgrades and post-pandemic hardware replacement. Enterprises must weigh the urgency of AI adoption against other IT priorities, balancing the need to stay competitive with a cautious approach to emerging AI hardware investments.
To gain further insights into these trends, Enterprise Strategy Group surveyed 750 business professionals in North America (U.S. and Canada), including 330 IT professionals responsible for their organization’s endpoint computing environment who have insight into how AI is impacting these environments, as well as 420 corporate knowledge workers (i.e., end users) who use or will use AI as part of their daily workflows.
Page Count: 29
Table of Contents
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Executive Summary
-
Introduction
-
Research Findings
-
End-user AI Usage Already Spans Many Areas and Is Expected to Grow
-
Organizations Are Eager to Deploy Endpoints With Local AI Processing
-
UCC Platform AI Features Are Generally Useful and in Widespread Use
-
Significant Disconnects Exist Between IT and End Users
-
Shadow AI Is Widespread, Though Perhaps Less Than IT Decision-makers Anticipate
-
Conclusion
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Research Methodology
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Respondent Demographics
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