AI PC adoption moves from pilots to workplace rollout
AMD has published IDC research showing that 61% of organisations have deployed AI PCs across their workforces, pointing to a broader shift in large organisations from AI planning to deployment.
The global survey covered more than 500 IT and business decision-makers in the United States, Japan, France, the United Kingdom and Germany. It found that 81% of organisations are planning, piloting or deploying AI PCs, while 67% are expanding AI across their organisations.
The figures suggest companies are moving beyond trial phases as they look for ways to integrate AI into day-to-day work. IDC also found that 61% of organisations are integrating AI directly into workflows, indicating that adoption is extending beyond isolated technical projects.
Workforce rollout
Businesses are using AI PCs as part of a broader push to move more AI processing onto devices used by employees. The report found that 70% of respondents cited faster performance and reduced latency with AI PCs, 66% reported increased employee productivity, and 58% pointed to improved data security as a benefit of on-device AI processing.
It also found that 59% of respondents see NPUs as important to enabling the next generation of workplace AI use. That reflects a growing focus on local processing for AI tasks rather than relying entirely on remote data centre infrastructure.
Another theme in the study is the rise of what it describes as agentic AI. IDC found that 70% of organisations expect these systems to affect employee workflows within the next two years.
Agentic AI generally refers to software systems that can plan, execute and adapt tasks with a higher degree of autonomy than earlier AI tools. That prospect is shaping how companies think about personal computers, with PCs increasingly seen as both an interface for AI systems and a local execution layer for handling tasks in real time.
Enterprise shift
The survey findings come as companies face pressure to show practical returns from AI spending after an initial period dominated by experimentation. Businesses are now weighing how to scale AI tools while managing security, integration and oversight across existing IT environments.
Those requirements remain central to larger deployments. The research highlighted security, manageability and integration with existing technology estates as leading considerations for organisations deploying AI PCs at scale.
AMD used the findings to underline the commercial case for systems that run AI workloads on the device. Demand is rising for machines that can support real-time, context-aware AI closer to where work takes place.
That view aligns with a broader industry trend as semiconductor companies and PC makers try to define a market for AI-enabled computers. The category has become a major talking point across the technology sector, with suppliers arguing that newer chips with dedicated AI processing features will support a wider range of workplace software and automation tools.
Questions remain, however, over how quickly enterprises will standardise around these devices and which use cases will justify replacement cycles. Many organisations are still balancing the appeal of on-device processing, including lower latency and data control, against the cost and complexity of large-scale hardware refreshes.
The IDC survey nonetheless indicates that, for many businesses, planning has already moved into implementation. More than eight in 10 organisations surveyed are now somewhere in the planning, piloting or deployment process for AI PCs, suggesting the category is gaining traction in corporate IT strategies rather than remaining a niche experiment.
For AMD, the findings support its argument that the PC is taking on a larger role in enterprise AI adoption, as organisations prepare for a phase in which AI becomes more embedded in everyday tools and employee workflows, with endpoint devices handling a greater share of that activity.