Enterprise adoption of artificial intelligence is entering a more mature phase, with organizations increasingly shifting from experimentation to scaled deployment, according to a new IDC white paper sponsored by AMD.
The study found that more than eight in 10 organizations are already piloting, deploying, or planning to adopt AI-powered personal computers, signaling a broader transformation in enterprise computing infrastructure.
The momentum comes as businesses prepare for the rise of so-called agentic AI systems — tools capable of independently planning, executing, and adapting tasks in real time. IDC estimates that 70% of organizations expect agentic AI to significantly influence employee workflows within the next two years.
AI PCs drive enterprise productivity gains globally
IMAGE CREDIT: AMD
Based on a global survey of more than 500 IT and business decision-makers across the United States, Japan, France, the United Kingdom, and Germany, the research highlights how AI is moving deeper into daily operations.
According to IDC, 81% of organizations are currently engaged in planning, piloting, or deploying AI PCs, while 61% are integrating AI directly into workflows. Nearly six in 10 respondents (59%) said high-performance neural processing units (NPUs) are now critical for enabling next-generation AI experiences.
Performance and productivity gains are among the most commonly cited benefits. About 70% of respondents reported faster performance and lower latency with AI PCs, while 66% said employee productivity improved. More than half (58%) also pointed to enhanced data security through on-device AI processing.
The findings suggest that AI PCs are becoming a key enabler of enterprise AI scaling, particularly as more workloads shift toward the edge rather than centralized cloud systems.
“As organizations seek more responsive and context-aware AI experiences, compute is moving closer to where work happens,” AMD noted in the report.
The shift is also redefining the role of the PC in enterprise environments. Instead of serving purely as a productivity device, it is increasingly becoming an interface for AI interaction and a local execution layer for real-time processing.
Early adopters are already reporting measurable business gains, including improved performance, enhanced innovation capacity, and greater workflow efficiency. These outcomes are driving increased attention to security, data control, and system responsiveness as AI becomes embedded in everyday tools.
However, scaling AI PCs across enterprises also presents challenges, particularly around security, manageability, and integration with existing IT environments. IDC identified these as top considerations for organizations expanding deployment.
IMAGE CREDIT: AMD
AMD said its Ryzen AI PRO processors and PRO platform are designed to address these requirements, offering on-device AI acceleration alongside enterprise-grade security and manageability features.
The report concludes that the transition toward agentic AI marks a structural shift in enterprise computing, with organizations investing in AI-ready systems today positioning themselves for the next wave of AI-driven workflows and automation.
The full IDC white paper, The AI PC: Ready for Today’s On-Device Workloads and Tomorrow’s Agent-Centered Requirements, was released in April 2026.
