Is AI Still Wikipedia on Steroids? (and what to do about it)
In the early days, I said AI was just Wikipedia on steroids. For general background, that is still true. What has changed is how far AI now goes beyond it.
The Wikipedia Part
Wikipedia has extensive coverage of artificial intelligence. Definitions, historical timelines, major branches, key milestones, and terminology are all there. When you ask an AI assistant a broad question such as “What is machine learning?” the core facts often mirror Wikipedia’s structure, sometimes in nearly the same order.
I used Copilot to research this article. Its own summary was candid: for general background, much of what it provides matches closely with Wikipedia. That is not a weakness because Wikipedia in 2026 is curated and updated often enough to serve as a reliable foundation. An AI assistant simply presents information faster and in a cleaner format.
What Changed on the Steroids Side
Early assistants answered from what they were trained on, a fixed snapshot of the internet with Wikipedia near its center. Many current AI assistants can search the web as you ask, read the reports and data you give them, and work through a problem step by step before answering.
Wikipedia does none of that, and it was never designed to. It does not track a regulatory change the week it happens. It does not interpret a new study or tailor guidance for a utility board or a technical manager. That is where AI now adds value well beyond its Wikipedia roots.
What It Means for Technical Professionals
Knowing the source helps set realistic expectations. When you ask for general background, you are mostly receiving a refined version of Wikipedia. That is a fine starting point and usually an accurate one.
When you ask for analysis or decision support, the quality depends heavily on what you bring to it. Asking clear questions, suggesting the most relevant primary documents, and the experience (and judgment) to check the output all matter. AI remains less reliable on niche details, proprietary knowledge, and expert interpretation when it lacks proper inputs.
Three Ways to Use AI as a Basic Communication Tool in 2026
Include In Your Work Process
Don’t use AI (or Wikipedia) as a gadget. Establish a specific purpose and place for using it. For me, that place is near the end of my work process, where I triangulate facts and definitions.
Avoid Using for Idea Generation
Use your experience if you are creating something new—there is nothing new or creative if you can find it on AI or Wikipedia. Once you have created a first or second draft, the tools can tell you just how unique or creative you are.
Use Your Plain Reading of a Reference Document
There was a time when Wikipedia was not a credible reference, and most serious researchers and practitioners understood it was someone else’s interpretation. The same debates continue now with AI.
Still on Steroids
For background information, AI is still Wikipedia on steroids. The difference now is how far AI can go beyond that foundation when you give it the right material. But AI does not replace professional judgment—it speeds access to the basics and frees technical leaders to focus on interpretation and decision quality. That’s where the real value has always been.
JD Solomon champions practical communication skills that help technical professionals convey complex ideas clearly and confidently. Learn more at www.jdsolomonsolutions.com and www.communicatingwithfinesse.com.
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