- Most companies are now planning, testing or deploying AI PCs
- High-performance NPUs are “essential” – performance and security benefits are essential
- Popular Use Cases Show AI PCs Are Most Useful for Knowledge Workers
New data from AMD claims that adoption of AI PCs has increased rapidly in recent times, with more than four in five organizations planning, piloting or deploying AI PCs in some form.
This shows a move from experimentation to actual deployment, with businesses ready to integrate AI into their daily workflows, starting with the right hardware capable of running certain workloads locally.
Already, 70% report faster performance and reduced latency when using dedicated AI PCs, and 59% now consider high-performance NPUs “critical.”
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Are AI PCs the basis for good AI deployment?
According to AMD, two out of three companies have seen an increase in employee productivity through the use of AI PCs, with computers becoming execution platforms rather than just productivity tools.
And this has never been more critical than today, in the era of always-on AI through agent capabilities. AMD has described the latest generations of PCs as “later local execution” for secure, real-time task processing, citing lower latency, better privacy and security, and the ability to reduce cloud costs as key benefits.
Still, respondents view PCs as an interface for cloud agents (51%) and a secure local execution hub (47%) in almost equal proportions.
Additionally, 81% of study participants claimed to have significant knowledge of AI PCs. As a result, while the desire to future-proof devices is part of the reason for upgrading, most companies view productivity gains, innovation, competitive advantage, and improved security as higher priorities.
When it comes to real-world uses (27% have already deployed them at scale), AI PCs are proving most popular among knowledge workers, helping to improve the efficiency of tasks like documents, presentations, spreadsheets, transcription, and meeting summarization. In fact, coding assistance lags behind image and video generation, likely because workers prefer online Copilot tools that are cloud-focused.
It’s clear from AMD’s research that AI PCs are moving from being a “nice to have” to being a must-have for businesses. However, AI PCs are not intended to replace traditional cloud-based AI, as we enter a hybrid era of local and cloud processing for the best balance of performance and security.
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