iFixit has launched a new mobile app featuring an AI chatbot designed to assist users in repairing their gadgets. This chatbot, named FixBot, is built on two years of development and incorporates various AI models focused specifically on repair tasks, unlike general chatbots. The app allows users to communicate their issues to FixBot via text, voice, or even photos, which the bot uses to identify the device and suggest solutions based on iFixit’s extensive library of over 125,000 repair guides. While the app is currently free, iFixit plans to introduce a paid tier in the future. However, users should be aware that the AI may not always provide correct answers and does not cover every possible device or appliance.
Why do we care?
Specialized AI is getting good at the kind of work MSPs usually hand to Tier 1. Not general chatbots — domain-trained bots that actually know what they’re talking about because they’re sitting on top of a big, structured library. iFixit’s proving the model, and it’s exactly the same pattern we should expect inside service desks. And if AI can do this for hardware repair, imagine what happens when RMM and PSA vendors start shipping agents trained on your ticket history.
But there’s a trap here. They can only do this because they’ve spent years organizing their data. Most MSPs don’t have that luxury. If your internal documentation is a mess, your AI bot will be a mess too. So no one should be thinking, “Great, this will solve Tier 1.” It only solves Tier 1 if you’ve done the homework.
And here’s the uncomfortable part: once users get used to asking a bot for help and getting a decent answer, they’re going to expect the same from their MSP. So if you’re still selling “we fix your devices” as a premium service, you’re going to feel pressure. The value has to move up the stack — governance, outcomes, the stuff AI can’t fake.
So my recommendation is simple: treat this like a warning shot. Start cleaning up your documentation. Identify the workflows that are predictable and repetitive, because that’s where automation goes first. And start positioning your value where humans matter — not where AI is about to eat the bottom rung of support.