9 Mei 2026 – As enterprises move from AI experimentation to scaled deployment, AI adoption is entering a new phase, reshaping how organizations approach infrastructure and enabling more real-time, intelligent workflows. According to a recent IDC white paper sponsored by AMD, more than eight in 10 organizations have deployed, piloted or planned for near-term adoption of AI PCs.
This momentum reflects a broad transition toward agentic AI, with organizations preparing for systems that can autonomously plan, execute and adapt tasks in real time. IDC’s research indicates that 70% of organizations expect these types of AI systems to influence employee workflows within the next two years, signaling a shift in how compute resources are deployed across the enterprise.
AI Adoption Moves from Experimentation to Deployment
We commissioned IDC to conduct a global survey of more than 500 IT and business decision-makers across the United States, Japan, France, the United Kingdom and Germany. Results point to an accelerating shift in enterprise AI strategy. Organizations are moving beyond pilot programs and embedding AI more deeply into day-to-day operations.
Key findings from the IDC white paper include:
• 81% of organizations are engaged in planning, piloting or deploying AI PCs. • 61% are integrating AI directly into workflows.
• 59% cite high-performance NPUs as critical for enabling next-generation AI experiences.
• 70% report faster performance and reduced latency with AI PCs.
• 66% report increased employee productivity.
• 58% cite improved data security as a key benefit of on-device AI processing.
Taken together, these findings suggest that AI PCs are becoming an important part of how organizations scale AI, particularly as workloads shift closer to the endpoint.
The Rise of Agentic AI and the Evolving Role of the PC
As agentic AI moves toward real-world deployment, the role of the PC is evolving. Rather than serving solely as a productivity device, the PC is increasingly an interface for interacting with AI systems and a local execution layer for processing tasks securely and in real time.
This shift reflects a broader architectural change. As organizations seek more responsive and context-aware AI experiences, compute is moving closer to where work happens.
At AMD, we see this transition driving demand for systems designed to support real time, context-aware AI at the endpoint, as well as a new class of devices built to handle these emerging workloads.
Delivering Measurable Business Value with AI PCs
Early adopters are already seeing results. Organizations deploying AI PCs report gains across performance, productivity and innovation, indicating that these systems are delivering measurable business value.
These outcomes reflect a broader shift toward more AI-driven workflows, where employees can interact with AI in real time. As AI becomes more integrated into everyday tools and processes, organizations are placing greater emphasis on responsiveness, data control and security.
Addressing Enterprise Requirements for Scaled AI
As adoption increases, organizations are also navigating key requirements around security, manageability and integration with existing IT environments. IDC findings highlight these areas as top considerations when deploying AI PCs at scale.
Our AMD PRO platforms are designed to address these needs, delivering on-device AI acceleration alongside enterprise-grade security and manageability. AMD Ryzen™ AI PRO processors enable organizations to deploy AI capabilities across endpoints while maintaining consistency with existing IT processes.
Looking Ahead
The transition to agentic AI represents an important inflection point for enterprise computing. As organizations continue to scale AI across their operations, the role of the PC is expanding from a traditional endpoint to a platform for enabling real-time, intelligent workflows.
Organizations that invest in AI-ready systems today are positioning themselves to better support the next phase of AI innovation. Read the full IDC White Paper, sponsored by AMD: The AI PC: Ready for Today’s On-Device Workloads and Tomorrow’s Agent-Centered Requirements (Doc #US54439326-WP, April 2026).
