Every so often you go to update a profile and realize the form does not have a box for what you actually do. That is roughly where Web Experts landed recently while looking at the Services section on LinkedIn. It feels a bit dated, and it is worth asking whether other people are noticing the same gap.

As 2026 moves along, a lot of firms have pivoted their operations to focus heavily on the AI landscape. The trouble is that when it comes time to update the service offerings on a profile, the specific high-value categories being delivered every day are nowhere to be found.

The Categories That Should Exist

There is a short list Web Experts would like to see LinkedIn add, and none of it is exotic. AI Integration and Workflow Automation, AI Strategy and Readiness Consulting, AI-Powered Data and Analytics Systems, and AI Training and Implementation for Teams. Those four cover an enormous amount of the actual work being sold right now.

None of these are speculative future services. They are the engagements that come up in real conversations with real companies, and they deserve a label that matches.

Too Broad To Be Useful

The current tags that come closest are "Software Development" and "IT Consulting," and both are too broad to mean much. They do not capture the nuance of helping a company implement a custom LLM or automate an entire back-office workflow.

Those two things are not the same job, either. One is a modeling and data problem with a lot of judgment involved, and the other is process archaeology followed by careful rebuilding. Filing both under "IT Consulting" flattens the difference in a way that helps nobody searching.

What Everyone Is Doing Instead

In the meantime, founders and consultants are improvising. Some are sticking with "Digital Marketing" and "Business Consulting" because those at least get the profile into search results. Others have given up on the taxonomy entirely and are letting the headline do the heavy lifting.

Web Experts is genuinely curious how other people are handling it. There is no obviously correct answer when the dropdown does not contain your business.

Why The Labels Matter

It would be easy to write this off as a small platform complaint, but categories shape discovery. When a buyer goes looking for help automating a back-office workflow, the platform's vocabulary determines whether they find anyone who does exactly that or a pile of generalists.

Web Experts would like to see LinkedIn catch up. Until it does, the honest move is to describe the work clearly in plain language wherever you have room to write freely, and treat the dropdowns as a rough approximation of the truth.