Apple’s next major Mac software update may mark the beginning of the end for Intel-powered Macs while also pushing deeper into AI-powered experiences. New rumors surrounding macOS 27 suggest Apple is preparing significant changes ranging from smarter Siri capabilities to refinements for its controversial “Liquid Glass” design language.

According to reports, macOS 27 could become the first version of macOS to substantially reduce or fully end support for Intel-based Macs, completing a transition Apple began in 2020 with the launch of its first Apple Silicon chips. While Apple has steadily shifted focus toward M-series processors over the past several years, macOS 27 may represent the clearest sign yet that the company is ready to leave Intel hardware behind. Although this is not new news – Apple was already looking to phase out Intel-powered Macs when it rolled out macOS Tahoe last year.

The timing would align with Apple’s typical software support cycle. Intel Macs have already started missing out on some Apple Intelligence features introduced during the AI push across iPhones, iPads, and Macs. Ending support entirely would allow Apple to focus more aggressively on AI, machine learning, and hardware-specific optimizations designed around Apple Silicon.

Apple appears ready to fully embrace its AI-first Mac future

One of the biggest rumored changes involves Siri. Reports suggest Apple is continuing work on a significantly smarter version of the assistant capable of handling more natural conversations, contextual awareness, and deeper app integration. While Apple’s AI rollout has faced criticism for moving more slowly than rivals like Google and OpenAI, macOS 27 could become an important part of the company’s broader Apple Intelligence strategy.

The update may also refine Apple’s newer “Liquid Glass” visual style, which reportedly focuses on translucent layers, reflective interface elements, and smoother animations across macOS. Early reactions to the design direction have been mixed, with some users praising the futuristic appearance while others argue it prioritizes aesthetics over clarity and usability.

Apple is also expected to continue integrating AI-powered productivity tools throughout macOS. Features involving summarization, writing assistance, smarter search, and proactive recommendations could become more deeply embedded into the operating system as Apple tries to make AI feel native to the Mac experience instead of functioning as a separate tool.

For users still relying on Intel Macs, however, the rumored support changes may become the biggest story. Millions of Intel-based MacBooks and desktops remain in active use, especially in businesses, schools, and creative industries. If Apple significantly cuts compatibility, many users could face difficult upgrade decisions sooner than expected.

macOS 27 may reveal Apple’s long-term strategy for the Mac

The rumored update reflects a broader shift happening across Apple’s ecosystem. The company increasingly designs software around its own custom chips, allowing tighter integration between hardware and software features. Apple Silicon Macs already deliver major advantages in battery life, performance efficiency, and AI processing compared to older Intel systems.

Ending Intel support would also simplify development for Apple and third-party app makers by reducing the number of architectures they need to support. However, it risks frustrating long-time Mac users whose devices may still feel perfectly functional despite losing future software support.

Apple is expected to officially unveil macOS 27 during WWDC 2026, where the company will likely detail its next-generation AI strategy across Macs, iPhones, and iPads. Until then, many of the reported features remain speculative, but the rumors strongly suggest Apple is preparing one of the most significant transitions in Mac history since the move away from Intel first began.

For the past two years, Qualcomm’s Snapdragon X series has largely been confined to notebooks. The chips delivered impressive battery life and surprisingly competitive performance, but they never got the chance to challenge compact desktop machines like Apple’s Mac mini or even the more powerful Mac Studio. The Ascent QN10 changes that.

Packing the 18-core Snapdragon X2 Elite processor alongside Qualcomm’s integrated Adreno GPU, the tiny desktop also becomes the world’s first mini PC to offer 80 TOPS of AI performance through its dedicated Hexagon NPU. So, ASUS is introducing a new form factor for Qualcomm’s most powerful PC silicon.

The desktop debut Snapdragon needed

The most interesting thing about the Ascent QN10 is the fact that Qualcomm’s flagship PC chip has finally made its way into a desktop. Until now, comparing Snapdragon-powered systems to Apple’s Mac mini has always felt slightly unfair. One sat inside a laptop chassis with battery constraints, while the other was a dedicated desktop built for sustained performance. The QN10 brings Qualcomm into that conversation.

ASUS says the system combines the X2 Elite’s 18-core CPU with up to 32GB of LPDDR5X memory running at 9600MHz, promising a balance of performance and efficiency while maintaining cool, quiet operation. That’s the same pitch Apple has successfully used for years with the Mac mini: serious performance without the noise and heat of traditional desktop PCs. Whether the QN10 can truly compete with Apple’s compact desktops remains to be seen, but for the first time, Qualcomm finally has the hardware platform to make that comparison meaningful.

The chip leaves the nest

Of course, ASUS and Qualcomm are leaning heavily into AI. At Microsoft Build, the companies demonstrated the QN10 running developer tools such as Visual Studio Code and GitHub Copilot while processing AI-assisted workflows locally. Another demonstration showed the machine running private large language models using LLMWare and AnythingLLM without relying on cloud servers.

That’s where the 80 TOPS NPU comes into play. Instead of sending data to external servers, developers can run AI workloads directly on the machine, which offers advantages in privacy, security, and responsiveness. The QN10 also supports Microsoft’s Copilot+ PC experiences, making it one of the first desktop-focused systems built around Microsoft’s growing AI ecosystem.

Still, the biggest takeaway from ASUS’ announcement is that the Snapdragon X2 Elite has finally escaped the laptop category. And if Qualcomm wants Windows on Arm to be taken seriously as a long-term alternative to Apple’s silicon strategy, a compact desktop like the Ascent QN10 is exactly the kind of product it needed to build.

The battle for compact high-performance desktops is heating up, and Nvidia appears ready to enter territory long dominated by Apple’s Mac Studio. At Computex 2026, MSI unveiled a new AI-focused mini PC called the MSI EdgeMesa N AI, powered by Nvidia’s brand-new RTX Spark platform.

The launch signals Nvidia’s growing ambition to push AI computing beyond traditional gaming desktops and into compact creator and workstation machines. More importantly, it also shows PC brands moving aggressively toward Apple’s increasingly successful formula of powerful desktop performance inside small, minimalist systems.

A tiny AI workstation built around Nvidia’s new RTX Spark platform

MSI’s EdgeMesa N AI is one of the first mini PCs announced using Nvidia’s new RTX Spark chip architecture. The system is designed specifically for AI workloads, local generative AI applications, creative software acceleration, and edge computing tasks.

While MSI has not fully disclosed every hardware detail yet, the company confirmed the mini PC combines Nvidia RTX Spark graphics with Intel-based processing hardware inside a compact chassis aimed at creators, developers, and AI-focused users.

The system is being positioned less like a traditional gaming PC and more like a local AI workstation capable of handling generative AI models, accelerated creative tasks, and productivity workloads directly on-device. That positioning immediately invites comparisons to Apple’s Mac Studio, which has become increasingly popular among creators, video editors, and developers looking for desktop-class performance in smaller form factors.

MSI says the EdgeMesa N AI is designed for local AI inference, AI-assisted workflows, content creation, and advanced multitasking scenarios that traditionally required much larger desktop systems.

MSI is not alone either. Other PC manufacturers, including ASUS, are also expected to adopt Nvidia’s RTX Spark platform for their own compact AI-focused desktops. ASUS is also pushing the RTX Spark platform far beyond laptops with its new ProArt Mini PC, a compact workstation measuring just 150 × 150 × 51mm. Despite the small footprint, the system supports up to 128GB unified LPDDR5X memory, delivers up to 1 petaflop of AI performance, and uses Nvidia’s 20-core Grace CPU paired with a Blackwell RTX GPU featuring 6,144 CUDA cores.

ASUS says the mini PC can handle 90GB+ 3D scenes, 120B-parameter large language models with up to one million tokens of context, and AI-assisted creative workloads locally. It also includes 10GbE networking, PCIe Gen 5 x4 storage expansion, and a thermal solution rated for up to 140W sustained workloads.

Why this matters

For years, Apple largely dominated the premium compact workstation category with devices like the Mac Studio and Mac mini. Now, Nvidia, alongside major PC brands, appears ready to challenge that space directly. The RTX Spark platform represents Nvidia’s attempt to create a standardized AI-focused desktop ecosystem for Windows PCs, particularly as AI workloads become more important for creators, developers, researchers, and businesses.

The shift also highlights a much larger industry transition happening right now. AI acceleration is rapidly becoming just as important as traditional CPU and GPU performance in next-generation PCs.

What happens next

MSI has not yet confirmed pricing or final availability details for the EdgeMesa N AI. However, the company is expected to reveal more specifications and launch timelines later this year. ASUS is also preparing its own RTX Spark-powered ProArt Mini PC lineup, which takes the concept even further with up to 128GB unified LPDDR5X memory, Nvidia Blackwell-based graphics, 10GbE networking, PCIe Gen 5 storage support, and claimed AI performance reaching 1 petaflop in an ultra-compact chassis.

As more manufacturers adopt Nvidia’s RTX Spark platform, compact AI desktops could quickly become one of the biggest new hardware categories emerging after the generative AI boom. Instead of massive workstation towers, creators and developers may soon have access to AI-focused machines small enough to sit beside a monitor while still handling local LLMs, advanced rendering, and accelerated AI workflows.

The bigger question is whether Windows-based AI mini PCs from brands like MSI and ASUS can truly compete with Apple’s ecosystem advantage and silicon efficiency. But one thing is becoming increasingly clear: the fight for the future of desktop computing is no longer just about raw performance. It is increasingly about who can build the smartest AI workstation in the smallest possible box.