A client asked us for a video. Before we got started, their internal marketing team spoke up: “We can handle this.”
And they did. Not long after, there was a video. It had music. It had motion. It had smooth transitions and a confident voiceover.
What it didn’t have was them. Not one of their projects. Not one of their people. Not a single moment where a customer would think, “I need to be doing business with this company.” It was a video. Technically. And technically, it was nothing.
Here’s the thing. That team didn’t fail. They did exactly what they were asked to do. That’s the problem.
Hi, I’m Jeff Payne. You’re listening to The Jeff Payne Show, Episode #86: Nobody Hired You to Make a Video.
There’s a post making the rounds that predicts the highest-paying job in tech will soon be marketing. The reasoning goes like this: AI has made building things almost free. A product, a website, a video. What used to take a designer, a developer, a writer, and weeks of work now takes one person and an afternoon.
So if anyone can build anything, the scarce skill isn’t building. It’s getting people to care.
I agree. But I want to talk about what that means for you, the person who decides what your company asks for. Marketing just split into two very different jobs, and most companies are still briefing, staffing, and judging only one of them.
The first job is making: the video, the post, the brochure, the ad. For most of history, making was the expensive part, so we judged marketing by output. Did the video get made? Did the posts go out? Checkbox.
The second job is meaning. What should a customer feel when they see this? What should they believe about you afterward? What would make them pick up the phone?
Making is nearly free now. Meaning is not. AI can make anything you ask for. It can’t tell you what’s worth making, and it can’t know what only you know: your projects, your people, the way you actually talk to customers.
Go back to that video. The request was “we need a marketing video.” That’s a request for an artifact, and AI fills artifact-shaped requests perfectly. You get exactly what you asked for. The failure didn’t happen in production. It happened in the brief.
And there’s a bigger cost than one flat video. When your next customer, or the AI assistant researching on their behalf, goes looking for a reason to choose you, what do they find? A video built from your real projects is evidence. It shows the work. A filler video proves nothing. It just takes up the space where proof should be. Being present isn’t the same as being convincing.
That’s why I tell my team we weren’t hired for marketing. We were hired for our strategy, our ideas, and most of all, to get people to care. The video is just where that shows up.
So here’s the shift: stop asking for things. Start asking for effects.
Not “we need a video.” Instead: “When our best prospect finishes watching, they should believe we’re the only company that truly understands their kind of project.” Filler can’t satisfy that request. Someone has to find the real projects, the real people, the real voice. Someone has to make a judgment.
Then judge what comes back by its effect, not its existence. The question isn’t “Is it done?” It’s “Would a customer see this and say, wow, I need to do business with them?”
If nobody on your team can answer that honestly, you have a making department. You don’t have marketing yet.
Three questions for this week.
Look at the last three pieces of marketing your company put out. Could AI have made them from a one-line request, knowing nothing about you?
When your team says a campaign worked, are they telling you it shipped, or telling you what changed in a customer’s mind?
And who in your company owns the meaning, not just the making? If the answer is “no one,” that’s the job that just became the most valuable one you have.
I hope this episode made you look at your marketing a little differently. Thanks for listening. I’m Jeff Payne. Thanks for listening.
AI made production nearly free. That didn’t make marketing easier. It splits marketing into two jobs, and most companies manage only one of them.
A client asked us for a video. Before we started, their internal marketing team said they could handle it. They did. What came back had music, motion, smooth transitions, and a confident voiceover.
What it didn’t have was the company. Not one of their projects. Not one of their people. Not a single moment where a customer would think, “I need to be doing business with them.” It was a video, technically. And technically, it was nothing.
That team didn’t fail. They did exactly what they were asked to do. That’s the problem worth talking about.
BUILDING IS CHEAP NOW. CARING ISN’T
A post by Sandra Djajic on X predicted that the highest-paying job in tech would soon be in marketing, and it spread quickly.
Greg Isenberg made a similar point: now that almost anyone can build anything with AI, the hard part is distribution, and the people who understand marketing will have the advantage.
The reasoning holds. A product, a website, a video: what used to take a designer, a developer, a writer, and weeks of work can now be done by one person in an afternoon. If anyone can build anything, building stops being the scarce skill. Getting people to care becomes the scarce skill.
For a CEO or business owner, the salary prediction is beside the point. The useful question is what this means for the person who decides what the company asks its marketing to do.
Making is free now. Meaning is not.
Marketing just split into two jobs
The first job is making: the video, the post, the brochure, the ad. For most of history, making was the expensive part, so companies judged marketing by output. Did the video get made? Did the posts go out? Checkbox.
The second job is meaning. What should a customer feel when they see this? What should they believe about you afterward? What would make them pick up the phone?
Making is nearly free now. Meaning is not. AI can produce anything you ask for. It can’t tell you what’s worth producing, and it can’t know what only you know: your projects, your people, the way you actually talk to customers. Most companies are still briefing, staffing, and judging the making, and leaving the meaning to chance.
Stop asking for things. Start asking for effects.
The FAILURE IS IN THE BRIEF
Go back to that video. The request was “we need a marketing video.” That is a request for an artifact, and AI fulfills artifact-shaped requests perfectly. The team got exactly what was asked for.
The failure didn’t happen in production. It happened the moment the job was defined as producing a thing rather than producing an effect in a customer. A brief that can be satisfied by filler will be satisfied by filler.
The failure didn’t happen in production. It happened in the brief.
Filler takes up the space where proof should be
There’s a higher cost than with a single flat video. When your next customer, or the AI assistant researching on their behalf, goes looking for a reason to choose you, what do they find?
A video built from your real projects is evidence. It shows the work, the people, and the voice that make you different. A filler video proves nothing, and it occupies the place where proof should have been. Being present isn’t the same as being convincing.
That’s the standard I hold my own team to. We weren’t hired for marketing. We were hired for our strategy, our ideas, and most of all, to get people to care. The video is just where that shows up.
A filler video proves nothing. It just takes up the space where proof should be.
BRIEF FOR EFFECTS, NOT ARTIFACTS
The shift is simple to say and hard to fake: stop asking for things and start asking for effects.
Not “we need a video.” Instead: “When our best prospect finishes watching, they should believe we’re the only company that truly understands their kind of project.” Filler can’t satisfy that request. Someone has to find the real projects, the real people, the real voice. Someone has to make a judgment.
Then judge what comes back by its effect, not its existence. The question isn’t “Is it done?” It’s “Would a customer see this and say, I need to do business with them?” If nobody on your team can answer that honestly, you have a making department. You don’t have marketing yet.
If nobody can answer that honestly, you have a making department. You don’t have marketing yet.
Three Questions
Frequently asked questions
Why is marketing becoming more valuable as AI makes content easier to produce?
When AI makes producing videos, posts, and websites nearly free, production stops being scarce. What remains scarce is judgment about what is worth making and the ability to make customers care, both of which depend on things only the company knows: its real projects, people, and voice.
What is the difference between the making and the meaning in marketing?
Making is producing the artifact: the video, post, brochure, or ad. Meaning is the effect on the customer: what they feel, what they believe about the company afterward, and what would make them act. AI can handle much of the making; the meaning still requires human judgment.
Why does AI-generated filler content hurt a business?
Generic AI content contains nothing specific to the company, so it gives customers and the AI assistants researching for them no evidence of why they should choose that business. It occupies the space where real proof, like actual projects and people, should be.
How should a CEO brief marketing work in the AI era?
Brief for an effect instead of an artifact. Rather than asking for a video, define what the best prospect should believe after watching it, then judge the result by whether it produces that effect, not simply whether it was delivered.
Sandra Djajic, post on X (February 6, 2026): “The highest-paying job in tech will soon be marketing.”Greg Isenberg, post on X, on distribution becoming the hard part once anyone can build with AI.
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