AI at the End point: The Impact of AI on End Users and Endpoint Devices

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.