AMD Ryzen AI PRO Processor Leadership and TCO Benefits

One of the interesting long-term trends in the commercial market is the shift in how people are functionally using PCs. Over the past few years, AI has gone from a dinner party conversation piece to practical use cases. Hand-waved discussions of future benefits are now concrete benefits in the here-and-now, from writing and validating software code to shaping customer communication. While many early AI workloads were executed in the cloud, we are seeing new use cases that require new local PC capabilities — capabilities AMD has been working to develop as part of its larger AI PC initiative.

AI deployment in PCs has accelerated, particularly as Microsoft integrates these functions into the operating system through its Windows 11 Copilot+ PC program. In a relatively short period, the NPU has moved from an unfamiliar proposition to a core component supported by a growing number of first- and third-party applications. Commercial OEMs now offer AI PCs and Copilot+ PCs across a wider range of price points, making local AI capabilities more accessible to businesses.

That is an important factor for corporate customers navigating system refreshes, the transition from Windows 10, and decisions about where and how to deploy AI. The nature of the AI question has evolved from “Does AI have a future in the enterprise?” to “What are the best practices for enterprise AI and AI PC deployment?”

That is a significant shift, and it is worth unpacking in a little more detail.

Macro Trends Favor the AI PC 

As far as AI PC adoption is concerned, third-party research from IDC projects that by the end of 2028, AI PCs will grow to 137.9 million units, representing 93.9% of all commercial PC shipments.

The broader industry is moving toward AI PCs because the neural processing units built into these systems are becoming more capable, ISV software support is improving, and the Microsoft Copilot+ PC ecosystem continues to expand.

Historically, many AI services have relied primarily on cloud processing. The NPU inside an AI PC is designed to run appropriate AI workloads locally with greater power efficiency while freeing the CPU and GPU for other useful work. Microsoft has consistently championed on-device AI capabilities, and the Copilot+ PC program is a clear example of that direction. The importance of on-device AI will continue to increase as AI PC adoption grows and more systems include NPUs capable of 40+ TOPS.

Evaluating AMD as a Commercial AI PC Partner 

The AMD Ryzen™ AI PRO 300 Series processor family delivers the performance, efficiency, security, and manageability capabilities enterprise customers are looking for. Independent third-party research firm Signal65 examined the commercial value and performance of AMD Ryzen™ AI PRO processor-based systems compared with select competing commercial systems.

In the report, “AMD Ryzen™ AI PRO Commercial Value Leadership,” Signal65 analyst Ryan Shrout begins by discussing AMD PRO Technologies and how this suite of security, manageability, and business-ready features addresses IT needs before moving to a broader performance comparison between AMD and competing systems.

The report is interesting in part because it compares systems differently than many third-party review sites. First, Signal65 tested software configurations intended to more closely reflect enterprise PC deployments rather than relying on stock operating system images that are rarely used in commercial environments. Second, the firm evaluated multitasking scenarios based on actions employees are likely to take throughout the day rather than relying only on top-line, single-application benchmark results.

You can read the full report above, but the results demonstrate how stronger system performance and lower acquisition costs can translate into measurable commercial value.

The analysis focuses on two measurable components of commercial value: potential employee time savings and lower upfront system acquisition costs. Deployment, management, support, energy, and lifecycle costs should also be considered as part of a complete enterprise TCO assessment.

Those potential savings do not depend on the speed of future AI rollouts or the adoption of any single AI application.

AI continues to reshape enterprise PC planning as companies refresh systems, move to Windows 11, and build their longer-term AI strategies. Corporate buyers have an opportunity to adopt emerging AI functionality while delivering a strong end-user experience and meeting the cost and manageability requirements of the business. AMD continues to work closely with industry partners and offers commercial solutions spanning mainstream business laptops through mobile workstations.

AI adoption and its impact on the IT industry are complex enough without forcing businesses to choose between future-ready capabilities and strong performance in the applications employees use today. AMD Ryzen™ AI PRO Series processors combine security, manageability, performance, and AI capabilities across a range of commercial systems and price points.

Footnote for the $53 million claim

Based on Signal65 testing and analysis of an example organization with 25,000 employees: 19,000 productivity employees, 4,000 content creation employees, and 2,000 executive employees. The calculation combines initial system acquisition cost savings per employee with the estimated value of employee time saved in tested multitasking workflows over 240 working days. Actual results and savings may vary.