As companies move from AI experimentation to full-scale deployment, AI adoption is entering a new phase, transforming how organizations approach infrastructure and enabling smarter, real-time workflows. According to a recent IDC white paper sponsored by AMD, more than 80% of organizations have implemented, tested, or are planning to adopt AI-powered PCs in the near term.
The push reflects a broad shift toward managed AI, where organizations are gearing up for systems that can plan, execute, and adapt tasks autonomously and in real-time. IDC research shows that 70% of organizations expect these types of AI systems to impact employee workflows in the next two years, signaling a shift in how enterprise computing is deployed.
Adoption of artificial intelligence is moving from experimentation to implementation.
We commissioned IDC to conduct a global survey of over 500 IT and business decision makers in the US, Japan, France, UK and Germany. The results point to an acceleration of corporate AI strategy. Organizations are moving beyond pilot programs and integrating AI more deeply into their daily operations.
Key takeaways from the IDC technical book include:
- 81% of organizations are involved in planning, launching or deploying AI-enabled computing.
- 61% integrate artificial intelligence directly into their work processes.
- 59% believe that high-performance NPUs are critical for next-generation AI.
- 70% report better performance and reduced latency with an AI PC.
- 66% note an increase in employee productivity.
- 58% cited improved data security as a key benefit of AI on devices.
Taken together, these findings suggest that AI computing is becoming an important part of how organizations scale AI, especially as workloads move closer to the end user.
The rise of agent-assisted AI and the evolution of the role of the PC
As agent AI moves toward real-world implementation, the role of the PC is evolving. Rather than serving solely as a productivity device, the PC is increasingly becoming an interface for interacting with artificial intelligence systems and a local execution layer for securely processing real-time tasks.
This change reflects a wider architectural transformation. As organizations seek more responsive and contextual AI experiences, computing is moving closer to where work is done.
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 new workloads.
Creating Measurable Business Value with AI-Enabled Computing
The first users are already seeing results. Organizations that deploy AI-enabled PCs report improvements in performance, productivity and innovation, showing that these systems create measurable business value.
These results reflect a broader trend toward AI-powered workflows where employees can interact with AI in real time. As artificial intelligence is increasingly integrated into everyday tools and processes, organizations place greater importance on responsiveness, data management and security.
Meet business AI requirements at scale
As implementation progresses, organizations must also consider key requirements for security, management, and integration with existing IT environments. IDC’s findings highlight these areas as important aspects to consider when deploying AI-enabled PCs at scale.
Our AMD PRO platforms are designed to meet these needs, offering on-device AI acceleration along with enterprise-grade security and manageability. AMD Ryzen AI PRO processors enable organizations to deploy AI capabilities to end devices while maintaining consistency with existing IT processes.
Looking to the future
The shift to agent-based artificial intelligence is a major inflection point for enterprise computing. As organizations continue to implement artificial intelligence into their operations, the role of the PC is expanding from a traditional device to a platform that enables real-time intelligent workflows.
Organizations that invest in AI-ready systems today are better positioned to support the next phase of AI innovation.
