Six In 10 Enterprises Have Deployed AI PCs Into Their Workforce, AMD’s IDC Research Finds

More than six in 10 organisations have moved beyond planning and are now actively deploying AI PCs into their workforces, according to new research from IDC commissioned by AMD.

The white paper, titled “The AI PC: Ready for Today’s On-Device Workloads and Tomorrow’s Agent-Centered Requirements,” surveyed more than 500 IT and business decision-makers across the United States, Japan, France, the United Kingdom and Germany.

The findings point to a shift from experimentation to operational deployment, with 81 per cent of organisations now engaged in planning, piloting or deploying AI PCs across their environments.

Productivity And Performance Gains

Organisations that have deployed AI PCs are reporting tangible returns. According to the IDC data, 70 per cent of respondents reported faster performance and reduced latency, while 66 per cent reported increased employee productivity.

Data security is also emerging as a factor driving adoption. Some 58 per cent of respondents cited improved data security as a benefit of on-device AI processing, where workloads are handled locally rather than being sent to the cloud.

The research found that 61 per cent of organisations are now integrating AI directly into workflows, and 67 per cent are expanding AI use across their organisations more broadly.

NPU Performance A Key Consideration

The role of dedicated AI processing hardware is becoming more prominent in purchasing decisions. The IDC research found that 59 per cent of respondents consider high-performance neural processing units (NPUs) to be critical for enabling next-generation AI workloads on endpoint devices.

This aligns with a broader architectural shift in enterprise computing, where more processing is being pushed to the edge rather than being handled centrally. As AI workloads move closer to the endpoint, the demands placed on PC hardware are changing.

AMD is positioning its Ryzen AI PRO processors as a response to this trend, offering on-device AI acceleration alongside enterprise security and manageability features. The company argues that its PRO platform allows organisations to deploy AI capabilities across endpoints while maintaining consistency with existing IT management processes.

Agentic AI On The Horizon

Perhaps the most forward-looking finding in the research is the level of enterprise interest in agentic AI – systems capable of autonomously planning, executing and adapting tasks in real time without constant human oversight.

According to the IDC data, 70 per cent of organisations expect agentic AI to influence employee workflows within the next two years. That expectation is reshaping how enterprises think about the role of the PC, which is increasingly seen not just as a productivity device but as a local execution layer for AI systems.

The shift reflects a growing emphasis on responsiveness and context-aware processing at the endpoint, where latency and data control are more tightly managed than in cloud-dependent architectures.

Scaling Challenges Remain

While adoption is accelerating, the research also highlights that organisations are navigating requirements around security, manageability and integration with existing IT environments as they look to deploy AI PCs at scale.

These considerations are particularly relevant for larger enterprises where consistency across thousands of endpoints is a priority. The ability to layer AI capabilities onto existing device management and security frameworks, rather than requiring a parallel infrastructure, is emerging as a key procurement criterion.

Last Updated on April 29, 2026 by Nick Ross