- Most companies are planning, testing or implementing AI PCs now
- High performance NPUs are “critical” – performance and security benefits are key
- The most popular use cases show that AI PCs are most useful for knowledge workers
New data from AMD claims that the use of AI PCs has increased rapidly recently, with over four in five organizations either planning, testing or implementing AI PCs in some form.
This shows a shift from experimentation to real implementation, where companies are set to integrate AI into everyday workflows, starting with the right hardware capable of running some workloads locally.
Already, 70% report faster performance and reduced latency when using dedicated AI PCs, with 59% now seeing high-performance NPUs as “critical.”
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Are AI PCs the basis for good AI implementation?
According to AMD, two out of three companies noticed increased employee productivity from using AI PCs, as computers shift to become execution platforms instead of just simple productivity tools.
And this has never been more critical than today, in the age of always-on artificial intelligence through agent capabilities. AMD described the latest generations of PCs as a “local execution later” for real-time, secure task processing, citing lower latency, better privacy and security, and the ability to reduce cloud costs as key benefits.
Still, respondents saw PCs acting as an interface to cloud agents (51%) and as a secure local execution hub (47%) in almost equal measure.
Furthermore, 81% of survey participants claimed meaningful knowledge of AI PCs. As a result, while the desire for future-proof devices is part of the reason for upgrading, most companies see productivity gains, innovation, a competitive advantage and security improvements as higher priorities.
In terms of real-world applications (27% have already implemented them at scale), AI PCs have proven most popular among knowledge workers, helping to increase efficiency across tasks such as document, presentation, spreadsheet, meeting transcription and summarizing. In fact, coding assistance ranks lower than image and video generation, likely due to workers preferring cloud-first online Copilot tools.
It’s clear from AMD’s research that AI PCs are transitioning from a nice-to-have to a business staple. However, AI PCs are not set to replace traditional cloud-based AI as we enter a hybrid era of local and cloud processing for the best balance between performance and security.
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