The AI PC Transition: How Today's Hardware Refresh Cycle Powers Copilot Success

The enterprise PC refresh cycle has evolved into a strategic moment for the channel to build the endpoint foundation customers need to implement Microsoft Copilot and other AI tools useful at scale.

The end of support for Windows 10 late last year has pushed organizations to migrate remaining systems to Windows 11, use Extended Security Updates where appropriate to keep receiving critical security patches and updates through October 2027 or replace aging hardware. At the same time, PCs with on-device AI have been at the center of pressing conversations around AI security, productivity and efficiency.

The refresh cycle is now a natural starting point for a bigger question: What can the next wave of PCs enable your customers to accomplish with AI?

What Is Driving Today’s AI PC Refresh Cycle?

Three trends are reinforcing one another: aging fleets, Windows 11 migration and enterprise AI adoption.

The end of Windows 10 support created an immediate reason to evaluate older devices. But replacing an aging Windows 10 PC with a device designed for yesterday’s workloads introduces a modernization challenge — making AI PCs a key element of refresh strategies.

AI PC adoption is already accelerating. Recent research from The Channel Company found that 8 in 10 channel partners have seen a significant rise in AI PC interest among their customers. Gartner, Inc. has predicted that AI PC market share will reach 55 percent by the end of 2026.

That changes the refresh discussion. Partners should help clients evaluate which PCs need replacement, and help them understand which users, applications and workflows would benefit most from AI-ready endpoints.

How Does Windows 11 Create A Foundation for Copilot Success?

Windows 11 migration and Copilot adoption are closely related initiatives.

Windows 11 provides the modern operating system foundation on which Microsoft is expanding AI experiences. Microsoft has continued adding Copilot capabilities to Windows, while Copilot+ PCs introduce hardware specifically designed to support more AI processing locally.

For partners, the progression increasingly moves along this pathway: modern hardware > Windows 11 > AI-ready endpoint > Copilot adoption > workflow transformation

That creates partner opportunities to address AI readiness, infrastructure modernization, security, management and AI adoption as part of one modernization strategy rather than a series of isolated projects.

Why Do AI PCs Matter To Copilot And AI Adoption?

AI PCs add a dedicated hardware capable of the trillions of operations per second (TOPS) required for AI processing. This matters because AI workloads do not all need to be processed in the same place. An AI PC can distribute work across:

• CPU: General computing and application processing
• GPU: Parallel and computationally intensive workloads
• NPU: Power-efficient, sustained AI processing
• Cloud: Larger models and services requiring scalable compute

The emerging AI workload model is hybrid, with a growing trend towards local processing. Research from The Channel Company found that leading reasons for this shift include productivity and time savings, greater security of on-device AI and greater control over costs compared to cloud-based AI operations.

Local processing supports lower latency, offline functionality and reduced dependence on cloud processing for appropriate workloads.

For solution providers, this creates opens the door to a conversation about which workloads should run locally and which belong in the cloud.

What Drives A Successful Copilot Deployment?

New hardware alone does not create AI productivity. Organizations need to connect endpoints with people, data, security and workflows.

Partners can use the refresh process to help clients evaluate four critical areas:

• Use cases: Identify repetitive, information-intensive workflows where Copilot can create measurable value.
• Data readiness: Review permissions, identity, information architecture and data governance so Copilot can access appropriate enterprise information.
• Governance and security: Establish policies governing approved AI applications, sensitive information and responsible AI use.
• Adoption: Train employees around role-specific workflows rather than simply introducing Copilot features.

Rather than focusing on Copilot license volume, partners should support Copilot use that translates AI capabilities into business results across greater productivity, data governance and security.

How Should Partners Match AI PCs To Different Users?

Not every employee needs the same AI PC. Persona-based planning can prevent customers from overinvesting while ensuring employees with demanding AI workloads receive appropriate hardware. Partners can help clients distinguish between:

• Cloud-first users who primarily need secure, manageable Windows 11 devices for cloud-based productivity and Copilot.
• AI-enabled knowledge workers who can benefit from Copilot+ PCs and expanding on-device AI experiences.
• AI power users such as developers, engineers and creative professionals who may need higher CPU, GPU, NPU, memory and storage configurations.

This approach allows partners to deliver a Windows 11 foundation while expanding AI PC adoption according to actual workload requirements.

How Can Partners Turn The Refresh Into An AI Services Opportunity?

TD SYNNEX provides Microsoft partners with resources supporting Windows 11, Copilot and Copilot+ PC opportunities. Solution providers can use the refresh conversation to introduce services around Windows migration, device assessment, Microsoft 365 and Copilot readiness, endpoint security, data governance, employee adoption and AI optimization.

The refresh can therefore become the first stage of an ongoing AI modernization engagement rather than a one-time device transaction.

What Should Partners Know About Client Environments Before Recommending AI PCs?

Five questions keep refresh conversations focused on business outcomes:

1. Which aging or Windows 10 devices need to be replaced?
2. Which employees have the strongest Copilot and AI use cases?
3. Which workloads should run locally versus in the cloud?
4. Are identity, security, permissions and data governance AI-ready?
5. How will the organization measure adoption, productivity and ROI?

The answers should inform hardware configurations while uncovering opportunities for security, cloud, data and managed services.

Build The Endpoint Foundation For The AI Era

The current refresh cycle arrives at a pivotal moment as customers make long-term decisions about how AI will support productivity, security and business growth. Windows 11 provides the modern endpoint foundation, AI PCs expand local AI processing capabilities and Copilot introduces new ways for employees to interact with applications, information and workflows. In tandem, they create an opportunity for organizations to modernize their technology and how they get work done.

By aligning PC refreshes with Windows 11 migration, AI readiness, Copilot adoption and measurable business outcomes, partners can help customers build a foundation for long-term AI success.

Learn more about how TD SYNNEX and Microsoft can help you guide customers through AI PC adoption, accelerate Copilot readiness and lead their AI transformation with confidence.