AI PCs Gain Momentum as Enterprises Move Beyond the Cloud

Most enterprises are already testing or deploying AI PCs as they shift AI workloads beyond the cloud to enable faster, more secure processing directly on devices. As autonomous, agent-driven systems gain momentum, these next-generation PCs are emerging as a critical investment for organizations preparing for the future of work.

According to a new research from IDC, AI adoption is rapidly increasing across organizations, with businesses embedding it into daily operations and workflows. While most AI workloads still run in the cloud, there is a growing shift toward processing them directly on AI-enabled PCs, supported by new software and operating system advancements that are now fully realizing the potential of this hardware.

Why are businesses investing in AI-enabled devices?

As organizations invest in AI not only through software but also at the device level, a majority are already moving forward with AI PCs. Specifically, 60 percent of enterprises are either testing these systems or have rolled them out, while another 21 percent plan to introduce them within the next year. This momentum reflects a strategic push to modernize PC fleets for emerging technologies like agentic AI and to boost workforce efficiency through built-in AI capabilities.

Additionally, productivity gains top the list of motivations for adoption, which is cited by 59% of respondents, followed by goals around innovation and competitive differentiation (39%) and stronger security (35%). Future-ready hardware and rising employee demand for AI tools are also shaping investment decisions, which is noted by 29% and 26% of respondents, respectively.

Early adopters report productivity gains as broader AI adoption accelerates

Among organizations that have already rolled out AI PCs, a strong majority report tangible performance gains, with 70% citing faster speeds and reduced delays, and 66% seeing noticeable improvements in employee productivity. At the same time, broader AI momentum continues to build, as 67% of executives surveyed say their companies are actively expanding AI initiatives across multiple departments. Awareness of AI PCs is also rising, with nearly half of respondents (46%) saying they now have a strong understanding of these devices.

Around 15% of respondents say they are still assessing AI PC options without a defined rollout schedule, and only 4% report having no plans to adopt the technology at all. Moreover, 61% of organizations say AI is already embedded into their workflows, 38% are limiting use to small-scale pilots, and 36% depend on third‑party AI solutions, with just 1% indicating they do not use AI in their work environment.

What are the challenges organizations must address for successful adoption?

Organizations are advised to take a proactive approach to adopting AI PCs by aligning hardware upgrades with their broader AI strategies. This means moving beyond isolated pilots and planning for enterprise-wide deployment that supports productivity, security, and long-term scalability. Moreover, investing early in AI-capable devices allows companies to prepare their workforce for more advanced use cases, including autonomous and agent-driven AI. It also helps to reduce reliance on cloud-only models that may introduce latency, cost, or data governance concerns.

Additionally, successful adoption requires more than new hardware. Organizations should focus on employee training, workflow redesign, and strong governance to ensure AI tools are used effectively and responsibly. Moreover, organizations must address security, compliance, and integration challenges upfront to help businesses maximize the value of AI PCs and ensure they are well-positioned for the next phase of AI-driven transformation.