Do I Need to Know How to Code to Use AI at Work?

Short answer: no. Most people who use AI at work never write a single line of code. If you can write an email or explain a task to a coworker, you already have the main skill you need.

Here's what using AI actually looks like for non-technical people, what matters more than coding, and when you might want a technical person involved.

What people actually use AI for at work

When Pew Research Center asked U.S. workers who use AI chatbots how they use them, the top answers had nothing to do with programming. According to Pew's 2025 survey:

• 57% used them to research or find information on a topic
• 52% used them to edit written content
• 47% used them to draft reports, documents or other writing

These are everyday office tasks. You type a request in normal words, and the AI writes back in normal words.

So why do people think you need to code?

AI was built by programmers, and a lot of early news focused on AI that writes software. That can make it feel like a tool for technical people only.

The numbers show that worry holds people back. In Pew's February 2026 survey, about half of U.S. adults said they never use AI chatbots. Among those non-users, 55% said not knowing how to use them was a reason.

The good news: "knowing how" is much easier than it sounds.

What you do need instead

Using AI well is more like working with a new assistant than using a piece of software. These are the skills that matter:

1. Being clear about what you want. "Write a reply to this customer" works. "Write a short, friendly reply to this customer, apologize for the late delivery, and offer free shipping on their next order" works much better. The more you say, the better the result.

2. Giving it the right information. AI doesn't know your company, your customers or your plans unless you tell it. Paste in the email you're replying to, the notes from the meeting or the numbers you want summarized.

3. Checking the work. AI can sound confident and still be wrong. Read what it gives you before you send it, especially facts, names, dates and numbers. Think of it as a first draft, not a final answer.

4. Asking for changes. If the first answer isn't right, just say so: "Make it shorter," "Sound less formal," or "Turn this into a bullet list." You don't have to start over.

5. Knowing what not to share. Follow your company's rules about what information can go into an AI tool. When in doubt, ask your IT team before pasting in private customer or employee details.

None of these need code. They're the same skills you'd use to brief a new coworker.

Sign up for our newsletter

Get the latest updates, product launches, and helpful tips delivered straight to your inbox.

Email addressSubscribe

A simple example

Say you manage a small office and need to send a reminder about a new parking policy. You could type:

"Write a short, friendly email to all staff explaining that starting Monday, visitor parking spots are only for visitors. Staff should use the back lot. Keep it under 100 words."

In a few seconds you'd have a draft. You read it, change one word, and send it. That's using AI at work.

When you might need a technical person

There are a few cases where someone with technical skills helps:

• Connecting AI to your company's apps, like your email, calendar, files or customer records, so it can find information and take action for you.
• Setting permissions and security, so the AI can only see and do what it should.
• Building AI agents, which are AI helpers that can carry out a whole task, like updating a spreadsheet and sending a follow-up, instead of just answering one question.

Even then, you don't have to be the technical person. You need to explain the task clearly, which is the part you're already good at, and someone else handles the setup.

Start small

If you've never tried AI at work, pick one small task this week:

• Ask it to tidy up an email before you send it.
• Ask it to summarize a long document into five bullet points.
• Ask it to suggest three subject lines for a newsletter.

You'll learn more from ten minutes of trying than from an hour of reading about it.

How Workmate fits in

At Workmate, this is exactly how we think about AI at work. Our customers don't need in-house AI experts. Our team builds custom AI agents around the way your business already works, connects them to the apps you use, and sets the permissions. Then your team works with them the way they'd work with a colleague, by sending a message in Slack, Microsoft Teams or email, in plain words. The technical part is our job. Explaining what you need is yours.