This post was created with support from Ditech Marketing.
Once you start incorporating AI tools into your workflow, your perspective on computer performance changes. In the past, I thought as long as Photoshop, a browser, and document work ran smoothly, it was enough. But recently, I find myself running coding tasks alongside image editing and blog writing simultaneously. The MacBook Pro M1 Pro I used before was a good machine.
With the 16-inch model equipped with 32GB of memory, it was sufficient for simple design and website work. However, lately, blog marketing tasks have increased alongside website development requests, and I’ve spent more time using automated coding tools.
Why I Chose a Used MacBook Pro Instead of a Mac Studio
I didn’t start out intending to buy a MacBook Pro M1 Max. I originally considered a Mac Studio as well. Since I spend a lot of time working at my desk with power and dual monitors connected, I thought a desktop Mac might be a good choice.
But when I compared prices, my opinion changed. For a similar amount, I could get a 16-inch display and 1TB of storage, along with a fully portable, ready-to-use setup — which I liked.
It’s true that the latest MacBooks are faster. But considering the price, a used device that can handle similar workloads at less than half the cost seemed more practical.
Limitations of the M1 Pro in Multi-Tasking Environments
The M1 Pro wasn’t inadequate from the start. It handled website and simple design tasks well. The problem was how my working style changed. I began running coding tasks while simultaneously using Photoshop and checking reference materials in the browser.
From that point, I started hearing the fan spin more often, just like on older Intel Macs. While code was running, browser tabs opened slowly, and switching between multiple tasks sometimes felt laggy. Work was urgent, but the computer couldn’t keep up smoothly.
With the increase in video editing tasks, waiting times also grew. It wasn’t just about one app being fast — I needed enough headroom to run coding, image editing, and video editing together.
Changes in Website Development Workflow with AI Tools
I’m actually working on this blog post alongside my MacBook right now. Using tools like Vibe Coding or Codex changes how I work. Instead of manually tweaking lines of code one by one, I give directions, then review and adjust files in a smooth flow. I then review and give further feedback.
I used to act as a website project manager for a long time, dividing roles among designers, developers, and marketers. Now, using AI tools gives me a similar feeling—when I set the direction, the AI helps execute the tasks alongside me.
However, this approach puts more strain on the computer. With a development server and terminal running, alongside browser previews and image editing, plus blog writing and video editing, memory and graphics performance are both pushed hard.
Specs and Condition of the Used 16-inch M1 Max Purchase
The machine I bought this time is a 16-inch MacBook Pro with 32GB of memory, 1TB SSD, and a 10-core CPU. The price for a used one ranges roughly between 2.2 million and 2.4 million KRW, depending on condition.
The exterior was clean. Although there was no box, for a few years old used product, I focused more on the physical condition, screen quality, and port functionality than packaging.
The battery cycle count was 444 with maximum capacity at 85%, showing normal status. Since I mostly use the MacBook connected to power with dual monitors via Thunderbolt, I didn’t base my judgment solely on cycle count.
Of course, if the battery is swollen or shows service warning messages, it needs review. But for a MacBook mainly used plugged in, checking exterior, screen, ports, and overall functionality is important.
Initial Impressions on Performance and Multi-Tasking Benefits
I haven’t used it long enough for a full review yet, but my first impression is that work feels generally lighter. App switching and browser responsiveness, as well as juggling multiple tasks, have become smoother compared to before.
I especially like keeping my old machine as a backup instead of immediately discarding it. Using the new MacBook as my main device and the old one for reviewing materials or other separate tasks feels like running two parallel workflows.
While code edits happen on one machine, I can review blog drafts or organize reference materials on the other. It reduces the downtime spent waiting for tasks to finish.
Who Should Consider This Kind of Setup
If your work mainly involves simple documents or web browsing, you might not need an M1 Max. But if you frequently do website creation, Photoshop, and video editing together, it's a different story.
If the latest model feels too expensive and you want some breathing room in your work environment, a high-end used MacBook is worth considering. A 16-inch screen, 32GB of memory, and 1TB SSD at a reasonable price can serve very well as a main workstation.
I purchased my unit affordably through Ditech. Used product prices vary widely even within the same model, depending on condition and specifications. Instead of just going for the cheapest, it’s better to prioritize what matters most in your workflow.
In Summary: Still a Solid Choice for an AI Work MacBook
The MacBook Pro M1 Max isn’t the newest model anymore. Still, in my workflow, it’s proven powerful enough to serve as a main machine. Handling website building, blog marketing, image work, and video editing simultaneously is quite feasible.
Ultimately, what matters more than having the latest model is whether your work time gets reduced. If you run multiple tasks at once and actively use AI tools in your daily work, it’s worth checking out. A properly chosen used MacBook can still be very practical for work.
A powerful CTO model with a 32-core GPU configuration—used MacBook Pro M1 Max.
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