The Evolution of ARM-Based Laptops

by Jun 21, 2024ai, Business, password, software, Technology0 comments

A few years ago, ARM-based laptops were synonymous with low-cost Chromebooks. MediaTek’s system on a chip (SoC) devices offered a budget-friendly alternative to the more powerful and typically pricier Intel-based machines. However, the landscape of ARM-based laptops has dramatically transformed, spearheaded by significant advancements from tech giants like Apple and Microsoft.

Apple’s ARM Revolution: From M1 to M4

The launch of Apple’s M1 chip was a game-changer, demonstrating that premium Macs with ARM-based silicon could match, if not surpass, the performance of Intel devices. Apple’s transition to its own silicon, based on ARM architecture, has set a new standard for high-performance computing. Recently, Apple introduced the M4 chip, powering its latest premium iPad Pro, further solidifying its commitment to ARM architecture.

Windows Embraces ARM: The Rise of Copilot+ PCs

While Windows has supported ARM for some time, it was often seen as a niche market. This perception has changed dramatically with the introduction of a new category of Windows PCs designed specifically for AI, known as Copilot+ PCs. Launched at Microsoft’s Build annual developers’ conference in Seattle, these devices leverage Qualcomm’s ARM64 architecture to deliver powerful AI capabilities.

Qualcomm’s AI Advantage

The Qualcomm chipset in Copilot+ PCs boasts AI capabilities that Microsoft claims are 20 times more powerful and up to 100 times more efficient for running AI workloads compared to previous generations. Software giants like Adobe and Da Vinci are showcasing how their applications, such as Adobe Photoshop and Da Vinci Resolve, utilize the Neural Processing Unit (NPU) in Qualcomm’s chipset to accelerate video and image editing tasks.

Industry-Wide Adoption

The Copilot+ PC specification has garnered support from major PC manufacturers, including Acer, ASUS, Dell, HP, Lenovo, and Samsung, all of whom are set to release Copilot+ PCs starting June 18. Microsoft has positioned these devices competitively, with a starting price of $999, which it claims is up to $200 less than similarly specified devices from Apple.

This collective endorsement from leading PC makers signifies a unified effort to build momentum for Copilot+ technology across the industry.

The x86 Competition: Intel and AMD’s AI PCs

In parallel with ARM-based innovations, PC makers are also introducing AI-enhanced PCs based on x86 architecture. AMD unveiled the Ryzen Pro AI chip for business laptops in April, while Intel has developed the Core Ultra chip targeting AI acceleration in PCs. These developments indicate that the race to integrate AI into computing devices is well and truly on, with both ARM and x86 architectures vying for dominance.

The Market Debate: Is There a Demand for AI PCs?

The emergence of AI-powered PCs has sparked an ongoing debate about the market demand for such devices. The success of these AI capabilities will largely depend on the applications that drive their use. With multiple architectures now available, Windows developers face the challenge of writing software that supports this diverse ecosystem, adding layers of complexity in terms of testing and compatibility.

Traditionally, Windows PCs ran on Intel-compatible x86 processors. The advent of AI and Copilot+ PCs introduces a new dimension of complexity, with potential issues around compatibility and testing. However, the industry’s concerted push towards AI integration suggests that these challenges will be addressed as the technology evolves.


The shift from ARM-based laptops powering low-cost Chromebooks to high-performance, AI-capable machines represents a significant milestone in computing. With major players like Apple and Microsoft leading the charge, and industry-wide support from top PC manufacturers, the future of ARM-based and AI-enhanced PCs looks promising. As these technologies continue to develop, the debate over their market viability will likely focus on the practical applications that make AI a valuable addition to everyday computing.

PTSI Editorial Team

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