Why and How Organizations Should Consider AI PCs for Essential Workloads
AMD processors and accelerators are essential parts of the industry’s aggressive swing toward AI PCs and are key to helping organizations make the most of their AI investments.
The Rapid Rise of Enterprise AI and What It Means to You
Enterprise AI is rapidly redefining how organizations achieve their most critical outcomes, from accelerating revenue growth to enhancing customer experiences at scale. GenAI represents a transformative force that is reshaping digital infrastructure, amplifying workforce productivity, and unlocking new levels of innovation, particularly when deployed intelligently at the endpoint.
AI PCs Turn Endpoints into High-Impact AI Engines
AI PCs are no longer standard desktops or laptops, they are next-generation productivity and intelligence hubs:
- Capable of on-device AI inference, GenAI tasks, and data analytics
- Purpose-built with AI-optimized CPUs, GPUs, and NPUs
- Support use cases like cybersecurity, local model execution, IT task automation, and video processing
80%
of organizations say AI PCs have accelerated
their endpoint refresh cycle
55%
of organizations cite employee productivity as the top priority driving endpoint strategy
Tangible Business Outcomes: Productivity, Security, and TCO
Investing in AI PCs offers measurable value across key business goals:
| Objective | AI PC Impact |
| Employee Productivity | Personalized GenAI assistants reduce time on routine tasks and boost creative output. |
| Cybersecurity | Local AI models enhance threat detection and response, even in air-gapped or low-bandwidth settings. |
| Cost Optimization | Reduces server load, lowers bandwidth use, and avoids overreliance on subscription-based AI services. |
Hybrid AI is Here, and AI PCs Make it Work
AI deployments are rapidly evolving into hybrid models that blend cloud-based large language models (LLMs) with edge and endpoint-based AI. According to ESG, 40% of GenAI workloads are now being deployed on-premises, at the edge, or directly on AI PCs. This shift is driven by the need for reduced latency, stronger compliance with data sovereignty requirements, and better cost predictability.
The AMD AI technology stack, including Ryzen™, EPYC™, Instinct™, and Radeon™ helps to support a full spectrum of hybrid-infrastructure strategies, providing IT leaders with the agility to scale AI deployments flexibly and securely without being confined to cloud-only architecture.
Security and Reliability without Compromising Performance
Today’s AI PCs are engineered with enterprise-grade security features that make them ideal for mission-critical workloads. AMD PRO Technologies helps protect businesses with a complete set of security features, robust manageability tool, and enterprise-grade stability and reliability. For organizations operating in regulated industries or handling sensitive data, deploying AI at the edge via secure AI PCs dramatically improves compliance posture, safeguards privacy, and ensures operational sovereignty without sacrificing performance.
How AMD Makes AI Adoption Low Risk
Investing in AMD-powered AI PCs aligns your organization with a future-proof, open, and cost-effective AI roadmap. AMD AI solutions offer performance advantages, collaboration with all major OEMs, and support for open AI ecosystems.
AMD Ryzen PRO processors with Ryzen AI are high-performance components with intelligent power gating optimized for multitasking workloads that must “travel” with their users. Ryzen PRO processors include a dedicated AI engine, enabling AI PCs to run at very high performance but with optimal cost and energy efficiency.
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Enterprise AI Solutions
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Footnotes
- As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a
Footnotes
- As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a