Companies are adopting artificial intelligence (AI) and generative AI (GenAI) technologies at a breakneck pace, rolling them out to a wide range of employees as the number of use cases skyrockets. Across industries, among companies big and small, organizations are moving fast to stay ahead of the competition by leveraging new AI features in their existing apps and adopting new AI apps where appropriate. AI is not only driving increased efficiencies across the workforce; it has quickly become a critical tool for employees in a wide range of jobs.
Today, most employees access these AI tools on their PCs, but the AI workloads run in the cloud. But this cloud dependency has drawbacks, including high service costs; enormous power-related environmental, social, and governance (ESG) impacts; a heavy reliance on networks (and related latency); and potential data security and user privacy concerns.
The next generation of AI PCs, shipping into the market today, addresses these drawbacks while simultaneously enabling companies to efficiently and affordably scale their AI efforts across their workforce. As you begin making plans to replace your aging fleet of PCs ahead of the October 2025 Microsoft Windows 10 end of service (EOS) date, it’s important to think differently about this cycle. Read this white paper to learn the key considerations.