Seventy-one percent of organizations now use generative AI (GenAI) in business workflows, a sign that AI is no longer experimental but a core productivity driver. At the same time, Windows 10 end-of-life is pushing IT leaders to refresh aging fleets and rethink their tech stack investments. The next wave of investment isn’t just about upgrading to more powerful PCs. It’s about ensuring those devices empower people with enterprise-ready AI tools that boost productivity, enhance collaboration, and fuel business growth while making work feel less like work. With the right tools, employees can focus on what inspires them most.
When most people picture AI in the workplace, they think of cloud-based tools like ChatGPT, Gemini, or Claude. These services send each user a prompt to a remote data center for processing before returning a result. But the cloud isn’t the only way for businesses to realize AI’s potential. Increasingly, AI models and features can run locally on AI-optimized hardware, gaining the same capabilities without the latency, cost, or security trade-offs associated with cloud processing.
For IT leaders, the choice isn’t “cloud or nothing.” The real question is which workloads are better handled locally and how to equip employees with devices and supporting solutions that make it seamless. While some companies have explored on-premises server hardware, these environments can be slow to deploy and limit scalability.
A more agile option is emerging: AI PCs built to deliver enterprise-grade AI performance right at the endpoint. Within HP’s broader portfolio, the
HP EliteBook series plays a key role. From the EliteBook 6 Series for growing enterprises to the EliteBook Ultra Series for large enterprises, these AI-optimized business laptops integrate seamlessly with HP’s collaboration tools, security solutions, and managed services. Together, they create an ecosystem that supports smarter, more balanced ways of working.
The case for AI PCs and their surrounding ecosystem comes down to three key enterprise priorities: reducing latency, increasing privacy and security, and delivering ROI through smarter investment.