💵 We Are Leaking Money

Free attracts the wrong person. Every time.

AI makes us want to offer more than we know we need to. And that silently wrecks our positioning as providers. 

We no longer want to operate like we did. We innovate and try to remove friction.

And naturally, paying by the hour (or at least how we used to) has become a broken incentive.

Don't believe me? Look at self-checkout. 

The store used to have all their checkout aisles open. They reduce staff to save on overhead and invest in tech to get you service faster. 

The machine and the customer do the labor changing everything about the quality of the experience. For the appeal of quicker outcomes you can skip talking to a single human. 

The store saves money. 

And somehow the price of the groceries goes up.

The work gets faster. But the question underneath all of it is still sitting there, staring back at us:

What are we (the customer) actually paying for now?

Everything has taken a turn, and we're stuck trying to price something we're not prepared to explain it's value anymore. 

Today I want to pull apart a pattern I've been seeing across client conversations, product experiments, and even some of my own offers.

I'll share some personal experiences, explain what I'm seeing as a bigger picture, and set you up with some thoughts on how to re-evaluate where you're at. 

Because this is bigger than pricing. It's really about where the value goes once AI changes the shape of work.

Grab a coffee, and let's get into it...

💸 How Do You Price Something That Didn’t Exist Before?

A market-wide pricing mess is forming because AI changed delivery, but most buyers are still using old mental models.

Key Facts

• ⚡ AI-first delivery is compressing timelines hard - work that used to take 4 to 6 weeks can now land in 3 days, while the judgment behind it still matters just as much.
• 💳 Small payments are beating free - across multiple live experiments, paid trials around $7 to $19 are filtering better and retaining better than free access.
• 🧩 Most builders still cannot clearly define the offer - strategy, implementation, training, maintenance, rev share, and IP all get blurred together fast.

⏱️ The Billable Hour Has a Real Problem

For a long time, “time” itself was a decent measure of value.

 - More hours = more effort. 
 - More effort meant a bigger invoice. 
 - Everyone understood the game.

Technology chipped away at this. Automations fractured it. And AI broke the logic entirely.

Now a sharp operator can do in 45 minutes what used to take 10hours. The client still gets the result. And honestly, most of the time the result is even better. 

The timeline is shorter, stress lower, and the judgment is still there.

But if you're billing by the hour, you get paid substantially less for the same or better results.

READ THAT AGAIN.

That's not a very good incentive, is it?

I've heard versions of this from service providers over and over lately. Designers. Builders. Consultants. Operators - you name it. The pattern is the same.

They improve the workflow.
They tighten the system.
They use AI well.

And then they watch the old pricing model punish them for it.

This is why hourly billing is starting to rot from the inside in AI-assisted work.

The buyer thinks they are paying for time.

The seller knows the buyer is really paying for:

• Judgment
• Taste
• Pattern recognition
• Risk reduction
• Speed without chaos

Those are different things that need different pricing structures.

The offers that seem to make the most sense right now are simpler and cleaner:

• Fixed-fee deliverables for clearly defined work
• VIP day or time-block offers where the client buys focused access and output
• Outcome-based pricing where the fee ties to a real business result

That shift matters because it changes the conversation from "how long will this take?" to "what outcome do we want, and what is that worth if we get it?"

That is a much healthier question.

🧲 Why Free Keeps Attracting the Wrong User

This one is worth sitting with.

A lot of offerings still assume less friction means more growth.

On paper, that sounds reasonable.

In practice, free often removes the exact commitment signal you needed most.

In one set of experiments with a massive creator client of mine (you probably would know them by name), a product offered a free trial with three interactions first and no credit card. Traffic came in. People signed up.

And then... nothing.

Hundreds of people entered.

Conversions were crap.

The same product had earlier tested $9 for 14 days.

That version held onto roughly 30% after trial.

That's not a small difference.

Another product converted better at $7/month - because it's high margin in the AI space regardless so the numbers can really get low to find the sticking point.

"Cheaper than Netflix" is a real frame I teach ALL THE TIME.

But there is a catch.

If you price too low, you remove resistance while also weakening the value signal.

Additionally you have to take into consideration the jump from your intro offer to the ongoing amount. 

That matters more than people think. With short attention spans

They look at the interface.
The promise.
And the price. 

Price quietly tells them what kind of commitment this product **deserves.

That's why there seems to be a ✨Goldilocks zone✨ around $7 to $19 per month from my unique perspective with low-ticket AI offerings. 

Low enough to feel easy.

High enough to value.

It also explains why zero-or-near-zero entry pricing can quietly wreck LTV.

This is where I find that a lot of founders stumble.

They celebrate top-of-funnel conversion and ignore what the cohort becomes 60 or 90 days later.

But headline conversion is vanity if the back half of the curve is weak.

What REALLY matters is whether the user who says yes is actually the kind of user your business wants more of.

💰 The Offer Identity Crisis Is Getting Expensive

Here's the other mess.

Many selling their work cannot clearly explain what they are selling.

Is it strategy?
Implementation?
Training?
Libraries?
Design?
Maintenance?
Rev share?
Access to your brain? 

Those are all different products.

But they keep getting stuffed into the same retainer because

• We need to innovate
• We need to upgrade
• We need to offer more value
• We need to adapt
• We can get this done faster than ever with AI

That creates what I think of as the ambiguity tax.

Find your own vertical in this story..

A client hired me for "AI implementation."

Their team is disorganized.

I start cleaning up ops.

Next thing you know you're feeling like you need to project manage, review internal docs, train staff, fix messy handoffs, and play therapist for a team that wasn't ready to absorb the build in the first place.

Same invoice.

Very different work profile.

This engagement slid from multiple five figures a month to four because the category itself was too fuzzy. We never had the same picture of the agreement even though we thought we did.

We just believed we could get it done faster and better because, AI. 

I will own this one too - lessons are being learned all the time.

Where does this all come together?

→ In our OLD world of billing hourly we caught on to this quick, because the buyer wouldn't stomach paying for all the ambiguity.

→ In our NEW world where outcomes are produced quicker, the vagueness is buying runway. We have to think smarter about the execution of our outcomes.

After looking across services, subscriptions, consulting, and product experiments, I keep coming back to the same common ideas.

1. Price for commitment, not access.

A small payment tells you more about a customer than a free signup ever will.

2. Sell outcomes or time blocks, not hours.

If AI compresses the labor, the price model has to stop pretending time is the product.

3. Split strategy from execution.

If you bundle everything into one vague offer, scope creep will eat it alive.

4. Use price as a filter.

Cheap gets attention. The right price gets the right customer.

5. Study cohorts, not just conversion.

Who you attract matters as much as how many you attract.

6. Build tiers that let people earn their way up.

A smart ladder beats one giant ask.

7. Resolve IP early.

If the value lives in prompts, frameworks, code, training data, or leveraged knowledge get that clear before the work starts.

And underneath all of it is the bigger truth:

The market still has no shared mental model for what AI labor is worth.

In my opinion, that's a HUGE window of opportunity.

Because when a market has no settled pricing logic yet, the people who explain the value best often get to shape the value.

That is a serious advantage if you're willing to be clear.

💡 If you run any kind of business, sit with these for a minute.

→ Are you still pricing based on effort even though your customers care more about speed, clarity, or risk reduction?

→ If people are signing up and disappearing, is your pricing helping qualify the right user... or just lowering the gate for everyone?

→ Where does your offer get fuzzy enough that strategic work turns into cleanup work?

→ What part of your value could be turned into an asset instead of staying trapped in your calendar?

→ And if your product or service got 3x faster this quarter, who would capture that upside by default - you, the client, or the platform?

✍️ Try This Prompt Right Now

Act like a pricing strategist and operator. Review my current offer and tell me which parts are true expertise, which parts are repeatable process, and which parts can now be done faster with AI. Then propose three pricing options: fixed fee, hybrid, and outcome-based. For each option, explain what the client is really paying for, what trust risks I need to address, and where I may still be pricing motion instead of value.

This prompt will rip apart your pricing and give you some visibility into where the risks lie. Then, paste these:

Answer the following questions for me:

1.What is the buyer truly paying for?
2.What part of the price is filtering for commitment?
3.What result would make this fee feel cheap in hindsight?
4.What gets pulled into the work that should be priced separately?

If those answers are fuzzy, the price is probably fuzzy too. 

P.S. If you're reworking an offer, pricing page, or service model right now, this is exactly the kind of thing I help clean up in VIP days. 

In fact right now I'm building in a track to my VIP days that will launch and train AN ENTIRE AGENTIC SERVICE in a day. Because more people are applying and asking for this than ever before. Naturally - what used to take weeks - now is no longer about time - it's about your outcome.

I only take 2 max per month right now. Apply here: https://vip.jimcarter.me/apply