When one client can cancel five vendors by telling an agent to go find them, the question stops being theoretical. This article answers it: what a service business actually sells once the deliverable gets cheap, and how to rebuild the offer around the part that does not.
Ben Tossell cancelled five vendors by telling an AI agent to go find them.
He wrote the number down, too. Six thousand dollars a year, lifted out of somebody else's revenue, mentioned almost in passing in his October 13 newsletter.
If you sell a service, that sentence lands somewhere below the ribcage. I know because I have been the guy on the other end of a cancellation like that.
So here is the direct answer to the question in the headline. When your customer can build the thing you sell them, you stop selling the thing and start selling the judgment, the accountability and the access that the thing was always a wrapper around. The deliverable was never the product. The deliverable was the receipt.
That is the whole thesis, and I am going to spend the rest of this article proving it with real numbers instead of vibes.
Candidly, most of the panic I am reading is written by people who have never had a market reprice their work. I have. I had an agency doing seven figures selling done-for-you social and content work, and then I did not have it. Some of that was my own doing. Some of it was the market deciding what I sold was no longer scarce enough to carry the price on it.
Here is the thing. It did not feel like a technology story while it was happening. It felt like clients going quiet.
Key Takeaways
- Your deliverable is getting cheap; your judgment about which deliverable to build is not.
- Customers do not pay experts for output. They pay experts to carry the risk of being wrong.
- Thirty years of consumer tax software did not kill paid tax preparers, who still filed more electronic returns than self-filers in 2026.
- People overvalue what they build themselves, so your competition is emotional before it is technical.
- Rebuild your offer around what software cannot hand over: diagnosis, accountability, and access to you.
The Problem Nobody Wants To Say Out Loud
Your customer is becoming a builder, and nobody asked your permission.
Tossell put it plainly: "I use far fewer SaaS tools than I ever have before – I actually got my personal agent (grok bot btw) to go through our business subscriptions and saved $6k/year – got rid of webflow, resend, cal, zoom and a bunch more." Those are his own first-person numbers, undocumented, from his newsletter. I believe them, because I watch people in my own community do smaller versions of the same thing.
He also named the real constraint, and it is not technical: "The biggest problem I see is that most people don't see themselves as 'builders'. They don't think to build a site for tasks (todos, email triage, recipes, kids calendars, etc). But that's my default."
Read that again. The bottleneck on your customer replacing you is identity, not capability.
And identity shifts. Tossell thinks agents are what shifts it: "I think agents will be the form factor that gets everyday people to make software, as long as it doesn't feel like it." He goes further: "Software 'you' create should just feel like customising something that's already yours."
That is the part that should get your attention. Not the tooling. The feeling of ownership.
I have been where you are, sitting with a client list and a sick certainty that what you are good at is about to be worth less. My collapse came with bankruptcy, a marriage ending, and the specific humiliation of telling people who trusted me that it was over. I had gone to prison years before that, so I had practice starting over from zero with a reputation problem. That does not make it feel better. It just means I know the shape of the room.
Here is what I got wrong, and it is exactly what I watch service owners get wrong today. I defended the deliverable. I argued about quality. I explained why my version of the output beat the cheap version, as though anybody buying on price had ever once been persuaded by a craftsmanship lecture.
That is the wrong fight. The deliverable is the commodity. It was always going to be the commodity.
The reframe is this: when production gets cheap, value does not evaporate. It migrates. Your only real job is to figure out where it went and move there before your competitors do.
What The Research Actually Says
The conventional narrative says cheap production kills the professional. The evidence says it relocates the professional. Five sourced data points.
One. Tax software did not kill tax preparers. The IRS publishes the scoreboard every filing season. Cumulative through May 8, 2026, the IRS received 75,316,000 electronically filed individual returns from tax professionals against 65,730,000 self-prepared returns. Paid professionals still handled the larger share, in a market where the software has sat on a shelf at Costco since the Clinton administration. When the task got easy, the people who kept paying were the ones whose situations were complicated or whose downside was expensive.
Two. Buyers of expert services are buying the absence of risk. Michael Darby and Edi Karni named this in 1973: credence goods, services where the buyer cannot verify, even afterward, whether the work was necessary. You can tell your mechanic fixed the car. You cannot tell whether the car needed it. Uwe Dulleck, Rudolf Kerschbamer and Matthias Sutter tested that experimentally in the American Economic Review in 2011 and found honest provision depends on liability, verifiability, reputation and competition. Translated: people pay a premium for someone who is on the hook. AI is not on the hook. You are.
Three. People systematically overvalue what they build themselves. Michael Norton, Daniel Mochon and Dan Ariely documented this in Harvard Business School Working Paper 11-091, published as "The IKEA Effect: When Labor Leads to Love" in the Journal of Consumer Psychology in 2012. Across experiments with IKEA boxes, origami and Lego, people valued their own amateurish creations as roughly comparable to expert-made versions. The effect only held when they finished the build. When the task was destroyed or abandoned, the inflated valuation disappeared.
Four. Adoption is fast; displacement of actual work hours is still small. Alexander Bick, Adam Blandin and David Deming surveyed this for NBER Working Paper 32966, published in Management Science in 2026. As of late 2024, nearly 40 percent of Americans aged 18 to 64 used generative AI, 23 percent of employed respondents had used it for work in the previous week, and work adoption had been as fast as the personal computer. Then the deflating part: between 1 and 5 percent of all work hours were assisted by it, with reported time savings equal to 1.4 percent of total work hours. Everybody has it. Almost nobody has rebuilt their work around it.
Five. Small businesses are not actually doing this yet. The Census Bureau's Business Trends and Outlook Survey, covering data collected December 14, 2025 to May 3, 2026, found overall business AI use hovering between 17 and 20 percent, at 19.8 percent on May 3. Thirty-seven percent of firms with at least 250 employees reported using AI. Fewer than 20 percent of firms with four or fewer employees did, and use among firms under 20 employees did not change significantly.
Hold those last two together. Your customers have the capability. Most have not built the habit. That gap is your runway, and it is not infinite.
Gartner published an insights abstract on April 3, 2026, by analyst Arup Roy, arguing that when agents become the users, "per-seat pricing collapses and value shifts to agentic providers controlling execution and outcomes." That is an analyst forecast and the full note is paywalled, so treat it as informed opinion, not measurement. And I went looking for a clean number on AI-driven SaaS churn and found vendor benchmark blogs quoting each other, so I am not printing one.
The Three Layer Offer
Here is what changed for me, and it took losing the agency to see it.
I stopped selling the artifact and started selling the system around the artifact. My actual business model today sounds insane out loud: I give the knowledge away for free, and I charge for access and implementation.
That is not generosity as a marketing tactic. That is an architecture decision. If the knowledge is going to be free anyway, and it is, then charging for it means charging for the one input heading to zero. So I give it away at the top, loudly, and get paid downstream where the value actually sits.
Think about your offer in three layers.
Layer one is production. Making the thing. The post, the funnel, the spreadsheet, the website, the deck. This layer is deflating and will keep deflating. A thread in r/vibecoding this week asked it directly: "If everyone becomes a builder, who remains the buyer?" The thread pointed at ArtCraft, a free open-sourced rebuild of seven Adobe applications, plus open-source clones of Wispr Flow, CapCut and Grammarly. One commenter who actually opened the Adobe clone said it is "not good enough even for hobby users, way too many bugs." Reddit provenance is messy, so treat all of that as sentiment rather than testimony. Price layer one low, bundled, or free anyway.
Layer two is judgment. Deciding which thing to make, for whom, in what order, and what to skip. This is the layer AI makes you better at and cannot do instead of you, because judgment requires accountability for being wrong. Nathan Lambert, writing in Interconnects on October 9, said this ease "signals the start of an era where good ideas can be much more valuable than good execution in software." His piece is partially paywalled and I only read the free opening, so I cannot tell you where he lands.
Layer three is access and consequence. You, on the hook, reachable, with your name on the outcome. This is the credence-goods layer, and it is the only one that gains value as production gets cheaper, because the cheaper output gets, the more of it exists, and the harder it becomes to tell good from garbage.
Tossell drew that line himself: "But if it works, is secure and performant, why does it really matter? It matters more if you're providing critical infra for customers paying you money, sure. But for your own tools and sites, slop works."
Slop works for his kids' calendar. Slop does not work for his payroll. Your job is to be unmistakably on the payroll side of that sentence.
The economics here are older than any of this. Ronald Coase asked in 1937 why firms exist instead of buying everything on the open market, and his answer was transaction costs: searching, negotiating, enforcing. Oliver Williamson built that into transaction cost economics in the 1980s. Your customer's build-it-themselves decision is a make-or-buy decision, and they will make it the moment dealing with you costs more hassle than doing it alone. Every confusing proposal and slow reply is a thumb on that scale.
William Baumol and William Bowen explained in 1966 why your attention keeps getting more expensive. Their cost disease argument holds that labor-intensive work with no productivity shortcut, a live string quartet being the classic example, gets relatively pricier as productivity rises everywhere else. Your judgment and your presence are the string quartet. Price them like it.
Six Steps To Reprice Your Offer This Month
1. Audit which layer your price is actually attached to. List every line item a client pays you for and mark each one production, judgment, or access. If more than half your revenue sits in production, you have a repricing problem on a clock, not a philosophical question.
2. Rebuild one offer so the deliverable is the cheapest part. Take your best service and restructure it so clients pay mostly for the diagnosis up front and your availability afterward, with the artifact included almost as an afterthought. I did this with my own business and it felt like financial self-harm for about ninety days.
3. Put your name on an outcome in writing. Add one specific commitment nobody using an agent alone can make: a number you will hit, a fix you will cover, a window you will answer in. That is the liability condition from the credence-goods research, and it is the sharpest differentiator you own.
4. Teach the thing you used to sell, in public, for free. Give away the method. You will lose the customers who were only ever going to do it themselves, and you were going to lose them anyway. What you gain is the trust of the ones who want it done right, which is a better list than the one you had.
5. Lower your transaction cost to near zero. Coase, applied on a Tuesday. One-page proposals. Same-day replies. Scope in plain English. Every point of friction you remove makes buying from you cheaper than building it alone.
6. Run your own offer through an adversarial teardown before a client does. Use this prompt:
[The Job] Stress test my service offer for commoditization risk. I run a
[TYPE OF BUSINESS] serving [TARGET CUSTOMER], and I need to know which parts
of what I sell a reasonably motivated customer could now produce themselves
with an AI agent in under an hour. This matters because I would rather reprice
on my own schedule than after a cancellation email.
[The Background] My current offer is [DESCRIBE OFFER AND DELIVERABLES]. My
pricing is [PRICING STRUCTURE]. My customers typically buy because
[STATED REASON THEY BUY]. Assume my customer is competent but busy and does
not think of themselves as a builder. Do not suggest I compete on price, do
not suggest I add more deliverables, and do not reassure me.
[The Deliverable] A three-column table sorting every component of my offer
into Production, Judgment, and Access, with a one-line commoditization risk
rating for each. Then three specific rewrites of my offer that move the price
onto Judgment and Access. Write it from the perspective of a skeptical
customer who has already priced the do-it-yourself path. Under 600 words.
Optimize for things I can change this month.
[The Questions] Ask me any questions you have.
Frequently Asked Questions
Should I lower my prices now that AI can do part of my work?
No, not on the whole offer. Lower or bundle the production piece specifically, and move your price onto diagnosis, accountability and access. Cutting your overall rate signals that production was the product, which trains your customer to keep comparing you to free tools instead of to other professionals.
What do I say when a client tells me they can just do this with AI?
Agree with them, immediately and without defensiveness. Then ask who reviews it, who fixes it when it breaks, and what it costs them when it is wrong. Most buyers have priced the build and never priced the risk. That conversation sells your actual value better than any objection-handling script.
If I teach my method for free, won't I lose clients?
You will lose the ones who were always going to do it themselves. Those people were never going to pay you. Teaching openly earns trust at scale and attracts buyers who want outcomes, not instructions. I built my entire business on giving the knowledge away and charging for access and implementation.
Is my service business actually about to be commoditized?
Check who is carrying the risk. If your customer could produce a usable version in an hour and the cost of it being wrong is low, you are exposed. If being wrong is expensive, regulated, reputational, or hard to detect, you are in credence-goods territory and your position is far stronger than the headlines suggest.
How fast is this really happening to small businesses?
Slower than the discourse claims. Census Bureau data from December 2025 through May 2026 put overall business AI use between 17 and 20 percent, with fewer than 20 percent of firms with four or fewer employees using it and no significant increase among firms under 20 employees. You have runway. You do not have forever.
The Close
The best line written about this all week came from a thread in r/vibecoding, 427 upvotes of pure common sense: "everyone can make a sandwich in their kitchen why are there restaurants?"
That has been the answer the whole time. Restaurants did not survive the home kitchen by making sandwiches people could not make. They survived by selling everything that is not the sandwich.
Tossell wrote that "Software isn't dead. More code is being written than ever before (probably). Something may be dead, but we just don't quite what it is." I will tell you what is dying. The era when producing the artifact was enough.
Here is what I learned as the guy who lost what he built and had to go find out what he was actually worth. Nobody ever paid me for posts. They paid me because they trusted me with something that mattered and did not want to carry that risk alone.
I was selling trust the whole time and calling it content.
Candidly, I am not afraid of AI displacing people. I am afraid of people refusing to step into their moment because they were busy defending the part of their work that was never the valuable part. Life is 5 percent what happens to you and 95 percent how you respond, and you are standing in the 95 percent right now.
Your customer can build the thing. Good. Let them.
Then be the person they call when it matters.
If this landed, come find me. I am in this conversation most days with about five hundred thousand entrepreneurs working it out in real time, and I would rather hash it out with you than lecture at you. Tell me which layer your price is sitting on. I read the replies.
About the author: Jonathan Mast is the founder of White Beard Strategies, where he teaches non-technical entrepreneurs, coaches and small business owners how to use AI to amplify the skill they already have. He serves a community of more than 500,000 entrepreneurs, created the Perfect Prompt Framework 2.0, and speaks on practical AI adoption for small business. He has also watched a market reprice his work once already, which is why he is less interested in predicting the next disruption than in helping you be the person people still call.