Should You Invest in AI PCs?
This report from Forrester explores how businesses are adopting AI, what the challenges and technological blockers are, and where companies believe the technology will be most useful. It recommends strategies for organizations looking to understand and maximize the value of their AI investments.
AMD is focused on helping customers turn AI's future potential into economic reality, regardless of where workloads need to run, what kind of work they perform, or what device they run on. Learn how you can successfully deploy AI across your business.
What This Means For IT Leaders
Shift to Scenario-Based Planning
Evaluate CPUs on real AI workloads, not benchmarks, and consider multitasking and collaboration to align hardware with top use cases.
Map workforce personas to device capabilities
Identify where AI PCs deliver the most value by segmenting users (developers, analysts, general staff), align investments to ROI with business input, and pilot deployments to validate compatibility, support needs, and scalability.
Align refresh cycles with market evolution
Incorporate platform transitions into roadmaps by upgrading Windows 10 devices post–end of support, plan for Copilot+ adoption, and use early vendor engagement, budgeting, and testing to avoid risk and ensure compatibility.
Developing a forward-looking AI strategy. A clear roadmap that includes infrastructure readiness and OEM and software vendor partnerships helps avoid fragmented deployments and ensures that AI capabilities are integrated into workflows effectively.
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