AI PCs (AIPCs) are emerging as a transformative force across industries, offering a major opportunity for the channel—arguably the biggest since the pandemic. With the global AI market exceeding $530 billion, organisations are increasing investment, and AIPCs are at the heart of this shift.
These devices enable users to work faster, smarter, and more creatively—leveraging features like real-time translation, advanced graphics rendering, and predictive typing. In sectors such as finance and healthcare, AIPCs support powerful use cases like predictive analytics, risk assessment, AI-driven diagnostics, and personalised medicine.
For the channel, AIPCs offer more than just hardware—they are part of a comprehensive AI solution. Success requires a consultative approach that includes:
- Software: AI development tools, productivity suites, and industry-specific applications.
- Hardware: High-resolution monitors, external GPUs, and advanced input devices.
- Services: Training, support, and cloud-based solutions for AI workloads.
AIPCs also drive higher average selling prices, cross-sell and upsell opportunities, and long-term efficiency gains for customers. Through programmes like TD SYNNEX’s Destination AI, partners are supported with enablement, awareness, and post-sale guidance—empowering them to stay competitive in a fast-moving market.
Who benefits from AI PCs?
With the AI market now valued at over $530 billion, Brandon Lieberthal VP of PC Systems, Printer & Supplies from TD SYNNEX Europe, highlights the transformative potential of AI PCs for both businesses and end users—enabling smarter thinking and more efficient work.
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What the AI PC means for the channel?
AI PCs represent the biggest opportunity for the channel since the pandemic, offering a more strategic and deliberate way for partners to engage the market on their own terms.
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How AI PCs will transform the way we work?
AI PCs are revolutionising workplace productivity and user experience.
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How to sell the AI PC
To successfully sell AI PCs, partners must understand that they are part of a broader AI ecosystem. This requires a consultative approach
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