- Most companies are planning, testing or implementing AI-enabled 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 AI PC adoption has been increasing rapidly recently, with more than four in five organizations planning, testing, or deploying AI PCs in some form.
This shows a shift from experimentation to actual implementation, with companies ready to incorporate AI into everyday workflows, starting with the right hardware that is capable of running some workloads locally.
70% already report faster performance and reduced latency when using dedicated AI PCs, and 59% now consider high-performance NPUs “critical.”
Article continues below.
Are AI PCs the basis for good AI implementation?
According to AMD, two in three companies saw increased employee productivity due to the use of AI-enabled PCs as computers become execution platforms rather than simple productivity tools.
And this has never been more critical than today, in the era of always-on AI through agency capabilities. AMD described the latest generations of PCs as “post-local execution” for secure real-time task processing, citing lower latency, better privacy and security, and the potential for reduced cloud costs as key benefits.
Still, respondents saw PCs acting as an interface to cloud agents (51%) and as a secure local execution center (47%) to about equal extent.
Additionally, 81% of study participants reported having significant knowledge about AI-enabled PCs. As a result, while the desire to future-proof devices is a part of the reason for upgrading, most companies consider productivity gains, innovation, a competitive advantage, and security improvements to be higher priorities.
In terms of real-world uses (27% have already deployed them at scale), AI-enabled PCs are proving to be the most popular among knowledge workers, helping to increase efficiency in tasks such as documents, presentations, spreadsheets, meeting transcriptions, and summaries. In fact, coding assistance ranks lower than image and video generation, likely because workers prefer online, cloud-first Copilot tools.
It’s clear from AMD’s research that AI-enabled PCs are moving from a “nice to have” to a business staple. However, AI-enabled PCs are not ready to replace traditional cloud-based AI as we enter a hybrid era of on-premises and cloud processing to achieve the best balance between performance and security.
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