AI PCs are becoming a bigger part of enterprise refresh conversations as Dell, HP, Lenovo, and other major PC makers position AI-enabled devices as the next phase of workplace computing.
For channel partners and MSPs, the shift creates a new advisory challenge: helping customers determine when local AI processing justifies a hardware upgrade, when traditional PCs are still sufficient, and how higher device costs fit into broader AI adoption plans.
What makes a PC an AI PC
AI PCs are computers designed to handle AI workloads locally rather than relying on cloud-based processing.
Most AI PCs, if not all, include a Neural Processing Unit (NPU), a specialized chip built to run AI and machine learning tasks more efficiently while consuming less power.
The NPU effectively serves as a third core component alongside the CPU and GPU, helping accelerate AI features such as real-time transcription, image generation via generative AI, and dedicated AI assistants.
Why vendors are tying AI PCs to refresh cycles
As AI becomes a larger part of enterprise technology stacks, vendors are positioning AI PCs as the next major evolution of personal computing. For manufacturers, AI PCs also provide a natural platform for delivering AI-powered features, applications, and services directly to end users.
The push toward AI PCs has also coincided with broader Windows 11 migration and modernization efforts. With Windows 10 reaching the end of support in October 2025, many organizations are evaluating hardware refreshes.
Vendors have seized this opportunity to position AI PCs as a future-ready upgrade path rather than simply another Windows 11 device.
AI PCs also serve as an important messaging tool for vendors, signaling that they are at the forefront of AI innovation and capable of supporting emerging AI use cases on existing hardware platforms.
That said, one of the most significant aspects of the AI PC boom may be its effect on device refresh cycles.
Because AI PCs typically require newer hardware with dedicated AI processing capabilities, they could influence when and how organizations replace aging devices. Understanding that impact is critical for partners and MSPs looking to guide customer purchasing decisions.
How AI PCs could change customer buying criteria
Device refresh cycles are expected to shorten
First and foremost, AI PCs are likely to shorten device refresh cycles. As more businesses look to integrate AI into their workflows, having hardware that can properly support those workloads will become increasingly important.
Gartner projects AI PCs will account for nearly 55% of the total PC market by 2026 and become the norm by 2029, illustrating how quickly AI hardware might replace legacy devices.
Devices purchased before the AI boom, especially those without dedicated AI hardware, may be replaced sooner than originally planned if organizations want to run AI applications locally and take advantage of newer AI-powered features.
While AI PCs tend to come with higher price tags, they offer a clear advantage thanks to their integrated NPUs. These chips are specifically designed to handle AI tasks more efficiently than traditional PCs, including some higher-end systems that lack dedicated AI processing hardware.
For organizations making a serious push toward AI adoption, the added cost of AI PCs may be worth it if it helps improve performance and supports long-term AI initiatives.
AI will increasingly become part of the device checklist
The rise of AI PCs also means that AI capabilities will increasingly become part of the checklist when businesses evaluate new hardware purchases.
For organizations seeking a competitive advantage or to adopt AI tools more deliberately, built-in AI capabilities can be an important factor when deciding which devices to buy.
Even for businesses that are not planning a major AI initiative today, AI PCs can still be an attractive option as a future-proofing investment.
Buying AI-capable hardware now gives organizations more flexibility down the road and helps ensure their devices are ready should AI become a larger part of their operations.
Confusion lingers over tangible ROI of AI PCs
While manufacturers will surely promote the capabilities of their AI PCs, these new devices are also likely to raise questions about their actual business value.
Many organizations will want to understand what differentiates an AI PC from a traditional PC, especially if they are not actively using AI applications.
Questions around what an NPU actually does, how local AI processing differs from cloud-based tools such as ChatGPT or Claude, and what tangible benefits come from running AI workloads on-device will likely become common during the buying process.
Ultimately, the value of an AI PC depends on how well its capabilities align with a business’s goals and use cases. For organizations with limited AI adoption, the benefits may not be immediately apparent. For others, the ability to run AI workloads more efficiently and securely could justify the investment.
Another factor businesses will need to consider is cost. AI PCs generally command higher price tags because of the additional hardware required to support AI workloads.
Beyond the inclusion of an NPU, many AI PCs also come with larger RAM configurations, as AI applications often require more memory to run efficiently.
When combined with newer processors and premium hardware specifications, these requirements can significantly increase a device’s overall cost.
For organizations pursuing an AI-first strategy, this added expense may be easy to justify. However, businesses should still evaluate whether the benefits of local AI processing outweigh the costs, especially if cloud-based AI platforms already meet most of their needs.
In many cases, the decision will come down to whether the expected productivity gains and long-term value justify the additional hardware investment.
Dell, HP, and Lenovo’s AI PC positioning
With that in mind, let’s take a look at how some of the leading consumer and enterprise PC manufacturers are positioning AI PCs and the role they believe these devices will play in the future of workplace computing.
Dell’s XPS and Pro line for AI builders and end-users
Dell positions its AI PC lineup around improved productivity, highlighting performance, security, and battery life across its hardware portfolio. The company also places a strong emphasis on specific AI use cases, targeting both AI builders and AI end users.
According to Dell, AI builders are users who create AI systems and tools, including data scientists, machine learning engineers, and developers. Meanwhile, AI end users are those who use AI to make their workflows more efficient and productive, such as marketers, designers, IT professionals, and security teams.
Dell says its AI PCs are designed to support both groups, strategically highlighting customer success stories from organizations such as Deloitte and Nordby to demonstrate how AI-enabled hardware can support a range of business and technical needs.
HP’s OmniBooks and EliteBooks, AI companion
HP places a strong emphasis on adapting AI PCs to what matters most to the end user. The company offers AI-enabled devices for a wide range of users, from consumers and business professionals to those who need dedicated workstations.
Its OmniBook and EliteBook lines are positioned as productivity-focused devices that provide the processing power needed for workloads such as generative AI, machine learning development, 3D modeling, animation, and other AI-driven applications.
In addition, HP offers HP AI Companion, a built-in generative AI application that serves as a localized personal assistant, enabling users to access LLM capabilities directly on their devices.
Lenovo’s Smarter AI vision and AI adoption journey
Lenovo positions its AI PCs around its “Smarter AI” vision, emphasizing personalized experiences and solutions for its customers. The company places a strong focus on Copilot+ PCs across its hardware portfolio, highlighting benefits such as improved productivity, personalization, and security.
Like HP, Lenovo markets its AI PC lineup to a broad range of users, including businesses, creators, gamers, and students.
Interestingly, the company also promotes its Premier Support offering, which provides customers with 24/7 access to technical experts who can help maximize AI ROI and support organizations throughout their AI adoption journey.
What partners should consider before recommending upgrades
Now that we’ve explored how AI PCs may affect device lifecycles and how major manufacturers are positioning them, here are a few considerations for partners evaluating AI-ready hardware.
Be selective about who actually needs AI PCs
Partners should avoid treating AI PCs as a universal requirement. While some customers may benefit from dedicated AI hardware today, others may be better served by traditional refresh cycles and cloud-based AI tools.
Understanding where local AI processing delivers meaningful value will be key to making the right recommendation.
Help customers build a business case before upgrading
While AI is undoubtedly at the forefront of innovation, its value ultimately depends on the outcomes it delivers. The most successful partners will be those that can help customers build a clear business case for AI PCs before making a hardware investment.
This means aligning dedicated AI hardware with specific workflows, business objectives, or desired AI outcomes rather than adopting the technology for its own sake. Before recommending an upgrade, partners should work with customers to identify where AI PCs can deliver measurable value and support their broader business goals.
Bundle AI PCs with advisory and other AI-oriented services
Once a decision has been made to adopt AI PCs, partners can also capitalize on opportunities to offer AI advisory, deployment, governance, and managed services that support broader AI initiatives.
As organizations continue to evaluate where AI fits into their operations, many will need guidance not only on which devices to purchase, but also on how to integrate AI into existing workflows and extract measurable value from their investments.
Bottom line: Use cases still matter with AI PCs
While AI PCs are likely to influence refresh cycles, adoption will ultimately vary depending on an organization’s use cases and business goals.
Despite growing demand for AI-enabled devices, their higher price tags and the expertise required to fully utilize them mean that businesses will need a clear understanding of the outcomes and ROI they expect to achieve before making the investment.
With this in mind, partners should focus on measurable business outcomes rather than AI capabilities alone when recommending new hardware investments.
By helping customers align AI PC purchases with real-world needs, partners can play a key role in guiding both vendors and end users through their respective AI journeys.
