David Colburn

When we hear the word “agent,” most of us picture a person.
A real estate agent shows houses. An insurance agent helps you choose a policy. A Hollywood agent lines up jobs for actors. In each case, it’s someone you hire to take care of something for you, to handle a job so you don’t have to manage every detail yourself.
Now take that same idea and swap out the person for software.
That’s what people are talking about when they use the term “AI agent.”
It’s not a robot. It’s not something you sit down and have a conversation with like ChatGPT. It’s software that’s been set up to take on a job, carry it out step by step, and keep going until the job is done or needs a human to step back in.
If you hired a human assistant, you might say, “When someone contacts me, respond to them, give them the information they need, schedule something if necessary, and remind me when it’s coming up.”
A human would read the message, decide what it means, respond, and follow through.
An AI agent is software set up, usually by a company or user, to do that same chain of tasks.
What makes it different from the tools we’re used to is that it doesn’t just do one thing and stop. It does something, sees what happened, and then decides what to do next. That cycle, act, check, adjust, can repeat over and over until the job is finished.
That’s what gives these systems a feel that’s closer to a very focused kind of assistant than a simple tool.
At this point, a reasonable question is: Where do you get one of these things?
Right now, you don’t walk into a store and buy an “AI agent” the way you’d buy a computer. But you can get the same effect in two very real ways, and many people already use versions of this without realizing it.
First, you can buy software that already includes this kind of capability. Many programs now handle entire tasks from start to finish. A customer management system might reply to inquiries, schedule appointments, send confirmations, and follow up later. You’re not hiring an agent by name, but you are putting a digital assistant to work.
Second, you can set one up yourself, without writing any code. There are tools that let you say, in plain terms, “When this happens, do this, then this, then this.” You’re essentially writing a job description and handing it to a computer that can actually carry it out.
That’s the key idea. An AI agent isn’t a product so much as a job that has been turned into a repeatable process and handed off to software.
Once you see it that way, the rest of the conversation starts to make more sense.
We’ve had automation for years. Political campaigns have used robocalls and mass emails for a long time. Businesses send out newsletters and promotions to thousands of people with the push of a button.
But those systems all work the same way. One message goes out to many people. It’s efficient, but it’s also blunt.
What’s changing now is the ability for software to carry on many separate, back-and-forth interactions at the same time.
Instead of sending one recorded message to 10,000 people, an AI agent can handle thousands of individual conversations. It can respond, adjust, follow up, and tailor what it’s doing based on how each person reacts.
That’s not just more reach. That’s a different kind of reach.
If you hire one assistant, you get one person’s worth of work. If you could copy that assistant a hundred times, each one handling its own set of tasks, you’d have something entirely different. That’s the kind of scale this technology makes possible.
That same capability is already starting to show up in areas like political campaigning. What once required a room full of volunteers can now be coordinated by software working around the clock, drafting messages, responding to people, and adjusting strategy as it goes.
The goal hasn’t changed. The tools have.
The same kind of agent-driven systems can also be used on the less welcome side of things.
Scams, for example, have always relied on reaching a lot of people and hoping a few respond.
With systems like these, those messages can become more personal, more convincing, and more persistent. Instead of a one-time email, you might be dealing with something that answers your questions and follows up if you hesitate.
Misinformation can take on a similar shape. It’s one thing to read a questionable post. It’s another to interact with something that responds to you, reinforces certain ideas, and creates the impression that there are many voices behind it.
That ability to create the appearance of scale, many interactions happening at once, is one of the more important things to understand.
None of this means the software has intentions of its own.
People still decide what these systems are supposed to do. They set them up, define the goals, and put them in motion. But once they’re running, they can carry out that work at a speed and scale that changes what one person or one organization can realistically accomplish.
In the end, AI agents aren’t something you need to fear or fully understand at a technical level. They’re a new way of organizing work.
Instead of doing every step yourself, or handing it off to another person, you can now hand certain jobs to software that can carry them out on its own.
For most people, that will show up in small ways at first. Fewer routine tasks. Less back-and-forth. Systems that take care of details in the background.
But the larger shift is already underway.
When you hear the term “AI agent,” it’s not just a smarter computer program. It’s the idea that some of the work we’ve always done ourselves, or hired others to do, can now be handled by systems that don’t just respond, but act.
And that’s a change worth keeping an eye on.