AI content's zero-revenue problem

I read a story on Reddit the other day that I can't shake. A SaaS founder raised $2.5 million and built a content machine that users absolutely loved... and it almost bankrupted him.

He accidentally created the most informed, price-sensitive user base imaginable.

They loved his content so much they became too smart to buy his product. His own expertise became a liability.

This is the trap so many people are falling into with AI.

It's never been easier to pump out a firehose of high-quality blog posts, social media threads, and newsletters. We're all getting drunk on 'visibility' and 'engagement.' It feels like progress. 

But are any of those likes actually paying your server costs?

Because they're probably not. It’s just expensive noise. Attention without a conversion path is a vanity metric that burns cash.

The entire game has flipped. For years, the hard part was producing enough good material. That was the moat. Now, with AI, creation is cheap.

It’s a commodity.

The real work, the defining work, is building the boring, unsexy plumbing that connects a piece of content to a dollar in your bank account.

Today, we’re going to break down how to stop making expensive noise and start building a real business.

We'll look at why your business model is the only prompt that matters, what expensive noise looks like in the wild, and a simple framework to turn your content firehose into something that actually makes money.

The Great Inversion: When Creation Becomes the Easy Part

For decades, the simple rule of the internet was that creation was the bottleneck. If you could consistently produce high-quality articles, videos, or posts, you had a durable advantage.

That was the hard part. The moat was your ability to out-create the competition.

That era is over. AI has commoditized creation.

The new, defining work is architecting the backend—the clear, deliberate path from a piece of content to a dollar in revenue. As the venture firm a16z put it, the new moats aren't in creation itself but in “distribution, monetization, and unique business models.”

If you don’t build this plumbing, you're not a business owner; you're just a highly-leveraged content creator for someone else’s platform. You’re making expensive noise. And it’s dangerously easy to mistake this activity for progress. It usually looks like one of these three archetypes:

*   The LinkedIn Thought Leader: They post multiple times a day using AI-generated carousels and insightful threads. They have 50,000 followers and posts regularly get hundreds of likes. It looks like a massive success.

But there’s no product, no service, and no newsletter. The attention is a dead end. It’s a performance of business, not a business itself.

*   The SEO-Optimized Ghost Town: This is the blog that ranks #1 for a dozen high-value keywords. It gets tens of thousands of visitors a month from Google. The traffic graph is a beautiful hockey stick.

But the conversion rate is 0.01%. The content answers a question perfectly but fails to connect that answer to the reader's next logical step—which should be your product. It’s a library, not a storefront.

*   The AI-Powered Curation Newsletter: It’s a perfect, sterile summary of the week’s news. It’s useful, but it lacks a unique voice, a sharp point of view, or a compelling call-to-action.

It's easily replaceable by the next AI-curator. It informs but it doesn't inspire action, so the open rate is decent but the revenue is zero.

In every case, the creator is asking the wrong question. They’re asking, “What should I write about?” The strategic question, the only one that builds a real business, is: “How will this specific piece of content make us money?”

How to Turn Your AI from a Noise Machine into a Money Machine

If creation is a commodity, strategy is the differentiator. You have to stop treating AI as a content engine and start treating it as an accelerator for a well-defined monetization plan. Here’s how.

1. Map Your Funnel First, Prompt Second

Before you open ChatGPT, you need a whiteboard.

What is the one action you want a reader to take?

Is it a newsletter sign-up? A free tool download?

A sales call? A direct purchase?

You must know the destination before you start driving.

Your content isn't the product; it's the vehicle to get someone to the product. Every piece of content should be a signpost pointing toward that single destination. Without this map, you're just building roads to nowhere.

2. Work Backwards from the Call-to-Action

Once you know your destination, design your content so the CTA is the logical conclusion, not a jarring commercial break.

If your goal is to book a demo, your content should build an undeniable case for why that demo is the most important thing the reader can do next.

It should diagnose a pain so accurately that your solution feels like the only cure. The CTA shouldn't feel like a sales pitch; it should feel like a helping hand.

3. Marry AI Scale with Human Connection

Use AI for the 80% of creation that can be systematized: research, drafting, ideation, and summarizing.

But reserve your human capital for the critical 20% that actually converts. That means personalizing outreach, engaging authentically in comments, building a real community, and having the conversations that close deals.

AI can fill the top of the funnel, but a human touch is almost always what’s needed to move someone to the bottom.

4. Conduct a Ruthless Content ROI Audit

Stop judging your content by likes and views.

These are vanity metrics that feel good but mean nothing for your bank account. Once a month, conduct a ruthless audit.

Which articles, threads, or posts actually drove sign-ups, leads, or revenue?

You’ll often find that your most “viral” pieces did nothing for the bottom line, while a less popular, niche piece was a conversion machine.

Have the courage to kill what doesn't work and double down on what does, no matter how unpopular it seems.

Your Business Model is the Only Prompt that Matters

The AI revolution isn’t about creating more content; it’s about creating better systems to capture value.

AI is an incredible accelerator, but it's an accelerator for a well-defined strategy, not a substitute for one.

That SaaS founder on Reddit learned this the hard way. His content was A+, but his system for capturing its value was an F.

He was building an audience, not a business. The two are no longer the same thing.

So before you ask your AI what to write next, ask yourself how that content will make you money. If you don’t have a crystal-clear answer, the problem isn’t your prompt engineering. It’s your business.

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Until next time - 

Jelani

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