Artificial intelligence (AI)-powered personal computers are rapidly shifting from experimental technology to a strategic imperative for global enterprises, with 88% of business leaders predicting AI PCs will replace traditional computers within two to five years, according to new research released Monday.
The Futurum Group‘s 2H 2025 AI Devices Decision Maker Survey, based on responses from 838 enterprise IT decision makers, found that more than half of organizations plan to increase PC spending over the next year specifically to acquire AI-enabled devices— a clear sign that the technology has moved beyond pilot programs into protected investment territory.
“AI PCs are moving from experimentation to inevitability,” said Olivier Blanchard, research director at The Futurum Group. “Enterprise buyers are no longer debating whether these devices matter — they’re prioritizing how quickly they can modernize fleets, integrate workflows, and prepare for on-device AI.”
The Futurum Group’s findings represent one of the most comprehensive assessments to date of how AI-enabled personal computers are reshaping enterprise endpoint strategies and workforce productivity planning.
Half of the organizations surveyed said they intend to increase PC budgets, with AI-capable devices expected to capture a growing share of upcoming refresh cycles, according to the survey. Another 36% plan to maintain current spending levels, illustrating that endpoint computing remains a priority even amid broader IT budget constraints.
Despite widespread enthusiasm, the research exposes a significant gap between organizational interest and operational readiness. Integration challenges — not hardware costs — emerged as the primary barrier slowing widespread AI PC adoption, with most enterprises still developing the ROI frameworks, workflow integrations, and training programs necessary for scaled deployment.
The survey highlights that while early pilot programs are common, comprehensive transformation roadmaps remain in development across most organizations. Decision-making authority is distributed across IT departments, procurement teams, and business leadership, requiring technology vendors to communicate value propositions to multiple stakeholder groups with varying priorities.
IT teams tend to focus on technical compatibility and security considerations, while business leaders emphasize productivity gains and competitive differentiation, according to the findings.
The research indicates that few organizations have established robust measurement frameworks for AI PC return on investment, placing the market in what analysts characterize as an early exploration and justification phase. Training, change management, and adoption enablement topped the list of deployment concerns, another sign that buyers are more focused on organizational readiness than acquisition costs.
Nevertheless, the budget commitment shows that AI PCs have achieved strategic status within enterprise technology planning. Organizations increasingly view upcoming refresh cycles as opportunities to standardize on advanced architectures, strengthen security postures, and build device-to-cloud ecosystems capable of supporting future hybrid AI workloads, the survey found.
