End-User Computing in an Artificial Intelligence–Composed World

In the past 10 years, a new paradigm of hybrid work has emerged—remote and online, increasingly automated with AI and performed wherever a device capable of accessing internet or wireless services may reside. This fundamental change to the way we work requires a new way of thinking about how enterprises deliver cohesive digital workspaces for their employees. It will also require them to adapt the existing infrastructure to account for how the only experience many employees have of the enterprise is mediated through the endpoint and the digital workspace. The changing nature of work means that the number and profile of endpoint devices that enterprises need to support will increase as well. Many of these new devices will be partially or completely outside of the enterprise's direct control, owned by employees or other third parties.

Increasingly, organizations have turned to client virtualization technologies to address these challenges. IDC research indicates that by 2027, one in four employees will access a virtual desktop; almost half will access virtual applications. Managing this volume of client virtualization, in the face of other new requirements, will require both an evolution toward automated solutions and cross-functional hybrid platforms.