Computex 2026 was all about 'AI PCs.' Should your small business buy one?
Taipei spent a week selling on-device AI: NVIDIA's RTX Spark, Intel's Arc G3 and Nova Lake tease, AMD's new X3D chips, a wall of 'AI laptops.' Here's the read for an owner deciding whether to refresh hardware in 2026, and why the memory shortage matters more than the AI badge.
Computex 2026 in Taipei had one theme, repeated by every vendor: the AI PC. On-device models, NPUs, “agentic” laptops that supposedly do your work for you. If you’re a business owner whose laptops are getting old, the natural question is whether to ride this wave or sit it out. Here’s the straight version.
What got announced
The notable hardware, briefly:
- NVIDIA RTX Spark: NVIDIA’s push into Windows-on-Arm laptops and mini-desktops, with a Blackwell GPU and up to 128 GB of unified memory. It’s interesting and we wrote it up in depth, but it ships this fall and runs Windows on Arm, so app compatibility is unproven.
- Intel: new Arc G3 / G3 Extreme chips, and a tease of Nova Lake (a bigger desktop platform, new socket) for late 2026. Translation: if you can wait, more is coming.
- AMD, mostly gaming-flavored: a 10th-anniversary Ryzen 7 5800X3D and a practical mid-range Ryzen 7 7700X3D (~$329). Good chips; not a business story.
- HP, Acer, and others: refreshed “AI” laptop and desktop lines mixing NVIDIA RTX, Intel Core Ultra, and AMD Ryzen AI parts.
The umbrella pitch across all of it: your next computer should have an AI chip in it.
A reality check on “AI PCs”
The part the keynotes won’t tell you: for most small businesses, the “AI PC” label should not drive your buying decision in 2026.
- The on-device AI is still nascent. The NPU in an AI laptop runs small, local models. The AI you actually use day-to-day (ChatGPT, Gemini, Copilot) runs in the cloud and works fine on a five-year-old machine. The laptop’s NPU mostly powers background features (webcam effects, live captions, some local assistant tasks), not the work you’re paying for.
- “Agentic laptop” is a 2027+ promise, not a 2026 product. The demos are impressive and the shipping reality is modest. Don’t pay a premium today for capability that’s still a roadmap.
- A badge isn’t a spec. “Copilot+ PC” or “Ryzen AI” tells you there’s an NPU; it tells you nothing about whether the machine has enough RAM, the right ports, or a screen your team can work on all day. Those still matter far more.
None of this means new hardware is a bad idea. It means buy a good computer sized to your actual work, and let the AI marketing be a tiebreaker at most.
The thing that should drive your decision: the memory shortage
The real 2026 hardware story has nothing to do with AI chips. It’s that memory and storage got brutally expensive. RAM roughly doubled from late 2025 into Q1 2026, and SSDs jumped too, because manufacturers shifted capacity to AI datacenter memory. That shortage shapes the smart buying strategy far more than any Computex announcement:
- Buy enough RAM up front. It’s the component inflating fastest, and you can’t cheaply add it later to most modern laptops (it’s soldered). If you’re buying now, over-spec memory rather than under (32 GB over 16 GB) because the upgrade later will cost more, not less.
- Don’t panic-replace a fleet. If your machines still do the job, the shortage is a reason to wait where you can. Peak pricing is expected through mid-to-late 2026.
- Time non-urgent purchases. With Intel’s Nova Lake and more RTX Spark devices landing later in 2026, anyone who can wait a couple of quarters gets both more choice and, hopefully, easing prices.
We went deep on this in our 2026 hardware-buying guide; Computex didn’t change the conclusion.
A note on “just get a laptop with a 5090 / top chip”
The same caution from our laptop vs desktop RTX 5090 piece applies to every shiny machine on the show floor: a mobile chip with an impressive name is power- and thermal-limited, and two laptops with the same sticker can differ 30–40% based on how the maker tuned them. Read the actual wattage and specs, not the badge.
What to do
- Refresh on need, not on hype. Old, slow, or failing machines? Replace them. Working fine? The AI PC is not a reason to spend during a price spike.
- When you do buy, prioritize RAM and a good screen/keyboard over the AI label. Those are what your team feels every day.
- Skip Windows-on-Arm for production for now. RTX Spark is worth watching, but let app compatibility prove itself before you put it in front of staff.
- Don’t buy AI capability you’ll consume in the cloud anyway. Your AI tools run on someone else’s GPUs; your laptop just needs to open a browser quickly.
If you’re sizing a hardware refresh for a team and want an honest opinion on what’s worth it this year, and what to wait on, that’s exactly the kind of call we’re happy to take.