The argument in one line.
The largest AI opportunity is not building software tools but replacing entire service departments by delivering the outcome while AI does the work invisibly, which commands retainers 5–10x higher than selling the tool itself.
Read if. Skip if.
READ IF YOU ARE…
- You are running an AI agency and hitting pricing compression where clients default to the cheapest option.
- You are a solo operator with a marketable service skill (writing, SEO, social media) who wants to scale revenue without hiring staff.
- You want to understand how to position AI as an internal efficiency tool rather than the product being sold.
- You are evaluating LinkedIn ghostwriting or content delivery as a one-person business model.
SKIP IF…
- You are building a SaaS product or software startup — this is a pure services model.
- You already have a well-differentiated agency with strong client retention and no pricing pressure.
The full version, fast.
AI agencies selling voice receptionists and email agents are converging on price-only competition because buyers cannot distinguish between identical-sounding products. Y Combinator’s current thesis — replace services, do not build more software — points to a larger opportunity: the services market dwarfs software and is already outsourced by nature. An AI delivery business sells the outcome and keeps AI invisible, commanding $3,000+ monthly retainers versus the $500 ceiling on agency tools. The LinkedIn ghostwriting example shows a solo operator tripling client capacity from 5 to 12+ by replacing manual writing with a Claude pipeline, reaching roughly 2.4x revenue on the same time budget.
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00:00 – 00:39
01 · Introduction
Hook claim that YC ended AI agencies. Promise to explain what is killing the current model and what the new one is.
00:39 – 03:18
02 · The AI Agency Trap
Saturated menu of voice receptionists, email agents, custom dashboards. Buyers cannot differentiate so cheapest wins. LTV compresses from $1K to $200. Student win (3K euro hotel email agent) shows saturation does not mean zero opportunity.
03:18 – 08:17
03 · New AI Business Model
YC thesis: biggest AI opportunity is replacing services not building software. Services market many times larger. AI delivery business comparison: outcome vs tool, $3K/month vs $500, handles everything vs client plugs it in, AI invisible vs AI is the product. Student Tessa example with food brand.
08:17 – 10:43
04 · Example: LinkedIn Ghostwriting
Math of solo human ghostwriter capped at 5 clients, 20 posts/week, $10K ceiling. You + AI pipeline: scrape posts, train voice in Claude, pull trends, generate drafts. Old way 16hrs/week, new way 3hrs/week, scale to 8-12 clients at $24K-$36K/month.
10:43 – 13:02
05 · The 5-Step Launch Plan
Step 1: pick service where AI does 80% of work. Step 2: build a small AI system. Step 3: find ONE person via voice memo DM. Step 4: deliver insanely well, make them a case study. Step 5: ask for one referral. Founders know founders.
Lines worth screenshotting.
- AI agencies selling commoditized tools (voice AI, email agents) compress to price-only competition when buyers cannot differentiate on quality.
- The services market is materially larger than the software market and already priced for outsourcing — AI delivery businesses plug into existing buyer behavior.
- A client paying $2,000/month for manual email delivery has the same budget whether emails are written by hand or by Claude — the price is the service, not the tool.
- Keeping AI invisible is standard operating model for any agency using internal tools; it is not deceptive, it is table stakes.
- One LinkedIn ghostwriting client managed with a Claude pipeline takes roughly 3 hours per week versus 16 hours manual — that delta is the capacity for 3x more clients at the same hourly commitment.
- The 80% threshold is the business model filter: pick a service where AI handles bulk production and leave only judgment and relationship work to yourself.
- Founders know founders — one well-served client in a professional network multiplies referrals without ad spend or outreach infrastructure.
- Voice memo DMs to 15–20 hyper-specific prospects outperform mass cold email sequences for landing a first AI delivery client.
- The gap between a $500/month AI tool retainer and a $3,000/month service retainer is entirely explained by who owns the outcome.
- A case study from the first client is the only marketing asset needed to scale from one client to five or more.
Sell the outcome, keep the AI invisible.
WHAT TO LEARN
When every competitor is selling the same tool, the only way out of price competition is to stop selling the tool entirely and sell the result instead.
- Commodity markets form when buyers can no longer distinguish quality between offerings — once voice AI receptionists all sound identical, the market sorts on price alone.
- The services market is structurally larger than the software market and already priced for outsourcing, which means buyers enter with higher budgets and fewer preconceptions about AI tools.
- Charging for an outcome rather than a tool shifts the pricing ceiling: a $500/month voice AI contract is replaced by a $3,000/month managed service contract for the same underlying capability.
- AI used internally to produce a deliverable functions identically to any other internal tool — accountants use spreadsheet software, contractors use power tools, service businesses use Claude.
- The capacity math for a solo operator is the deciding variable: if AI compresses a 16-hour workload to 3 hours, three times as many client relationships become manageable at the same personal cost.
- First-client acquisition in a service business follows a different path than product sales — one hyper-personalized voice memo to a specific person outperforms 5,000 templated cold emails.
- The referral flywheel in professional services is faster than any other growth channel: one founder who trusts you has direct access to three to five other founders with identical problems.
- A single case study with measurable results (posts published, engagement lifted, time saved) is sufficient proof for the next five clients — no ad spend or formal funnel required at the start.
Terms worth knowing.
- AI delivery business
- A service business that sells an outcome (posts written, leads contacted, SEO preserved) and uses AI internally to produce it, without the client knowing or caring about the AI involvement.
- AI agency
- A business that sells AI tools or automations directly to clients — voice receptionists, email agents, custom dashboards — where the software itself is the product.
- LTV
- Lifetime value per client — total revenue generated from a single client relationship over its duration. Cited here as compressing from $1,000 to $200 as AI agency markets saturate.
- Claude skill
- A custom Claude configuration or system prompt trained on a specific client’s voice, content history, or business context to automate a repeatable deliverable.
- Y Combinator
- The most prominent startup accelerator in the world, whose funding thesis signals where early-stage capital is flowing. Referenced for their stated preference for AI startups replacing service industries over building more software.
Lines you could clip.
00:00
“Y Combinator just ended AI agencies.”
01:28
“At this point, the only differentiator is price. And when that happens, you are basically racing to the bottom.”
03:30
“The biggest AI opportunity is replacing full on services.”
06:25
“The client might not even know you're using AI.”
07:11
“AI delivery businesses are charging $8,000 a month per client.”
Word for word.
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metaphoranalogy
00:00Y Combinator just ended AI agencies. See, 99% of AI agencies are building receptionist, email agents, or some sort of custom dashboard using Cloud Code. But now there's a new AI business model that YC is backing more than ever and that nobody on YouTube is talking about.
00:13It's not a SaaS, does not require monthly retainers, no Apollo, no Cloud Outreach, no dozens of emails. In this video, I want you to break down what's killing the current AI agency model, what the new one actually is, and how you can launch your own in 2026 even if you don't have a single client yet. For context, my name is Ritesh Roma, and I've made over $1,000,000 through multiple AI businesses.
00:32And now I've helped 200 plus people build, scale, and launch their own AI business from scratch. So I know exactly what it takes for you to be ahead of the curve. So the AI agency trap is that right now, there's a saturated menu of what's being served.
00:44So you have the voice AI receptionist, the email automation agent, and custom dashboards. And there's several other solutions that you've probably sold or you know another AI business owner who has sold, but these are very common now.
00:54I mean, how many dental voice AI receptionists have you seen? Or a lot of beginners, maybe you yourself when you first got into the industry, you probably were also deciding to sell voice AI receptionists. But the thing is that the market is confused.
01:07These dental offices can no longer tell who's a better buyer. I've literally been on live sales calls with HVAC companies. These HVAC companies are comparing five or six different AI agencies that are offering the exact same voice chat solution for HVAC companies.
01:20And now they're so confused and they just decide to go with the cheapest option because they really you know, your your standard business owner doesn't really understand what makes a voice AI better than the other. I mean, they might look at the sound, but nowadays, everyone uses retail and 11 labs, so everyone's voice AI sounds the same.
01:38So at this point, the only differentiator is price. And when that happens, you are basically . Okay?
01:44In any business, if it's always who is cheaper, now that means every business is gonna get less payments per client. So eventually, your lifetime value per client is gonna go down.
01:54And as a result, I mean, like like I said, your LTV per client is going to go down. So maybe if you're making 1 k per client, right, now you're making maybe $200 per client.
02:07And that's just gonna get less and less and less if you're trying to sell these very saturated solutions. So what is the fix? Well, before we get into the fix, I don't want you to completely crush your dreams because you might have AI agency right now that's doing kind of well.
02:21Right? And you're like, oh my god. Does this mean I have to completely abolish my agency?
02:25No. That's not the case. See, I have worked with 200 plus different people from around the world who are building their own AI agencies.
02:32And one of my students very recently on May 8, and today is about May 19, they sold a email support agent for a chain of hotels for €3,000.
02:44Okay? So these email agents, while the market is saturated in terms of a lot of AI agencies are offering this, there's still a lot of clients who are looking for email automation agents that don't have them. The problem is it's about can you get to that client first before everyone else in your space.
03:00And I mean, 3 k euros is a great is a great deal. This is one of his first clients ever, and of course, we congratulate him because every we celebrate everyone's win no matter how big or small. So what did YC announce?
03:11Right? How is that Y Combinator mentioned that I talked about the start of the video even relate to all this? So right now, everyone's competing in the software market.
03:19You got your voice AI, you have your AI b to b SaaS, something that, you know, these are the things that everyone is selling right now. But AI is gonna eat this next. Services market.
03:30The biggest AI opportunity is replacing full on services. You right now, you might use a SaaS to accomplish one mini task, but what if you could replace an entire department of a company through some sort of AI tool or AI service?
03:44Right? That is where the main money is. Now, what does this mean?
03:48Well, the software market is is is big. I mean, don't don't get me wrong, but the services market is even bigger. More companies are selling services than they are software.
03:58I mean, look at your local massage, your local barbershop, or your doctor, your dentist. These are all services. These aren't softwares being sold to you.
04:05You can't A barber is not gonna sell you software, let's be honest. So YC, Y Combinator, which is known to fund, you know, thousands of tens of thousands of startups, they are looking for people who can replace services and not just building more software.
04:19And this is a huge opportunity for anyone who's in this space. See, right now, if you look at an AI agency versus the AI delivery business, this is the difference between the two.
04:31And for those who don't know, the new model that I'm talking about, if you have not guessed already is an AI delivery business. Essentially, you don't have to be selling AI.
04:41You can be selling a service and use AI to accomplish that service. And we will I'll give you a strong example that some of my, uh, clients I work with personally are doing already, so you can see what's working.
04:54But let me give you more of a breakdown what an AI delivery business and AI agency how they compete. So an AI agency, selling a tool. Right?
05:02Receptionist, email agent, custom dashboard. AI delivery business, you're selling the outcome.
05:08When you're placing a full on service, you are essentially replacing human employees or full on departments. Meaning, you can charge very big retainers. With the AI agency, your voice receptionist, I mean, you're probably looking at 200 to $500 a month retainers.
05:21Correct? I mean, you might have that one time setup fee like 2 k or 1,500, which is by all means great.
05:27But if you have an AI delivery business and you're placing a service, you can charge the the equivalent of other service based businesses. So this is usually thousands of dollars in retainer. Right?
05:37In an AI agency, you might have the client plug in the solution, like you might integrate their voice AI into that client's workflows. In the AI delivery business, you're handling everything. You're doing operations a to z for them, and while it might seem like a lot, remember, you're using AI tools, Claude skills, Claude code to finish all the work that would take a regular service based business in this niche, maybe five x a time because you're good at AI, you can do things so much faster.
06:05In AI agency, you're selling software and ad delivery business. The client might not even know you're using AI. I mean, a a quick example, this isn't the one I'm gonna show you later in the video, but a quick example is imagine you emails for a startup.
06:19Okay? That client might not know you have a cloud skill that is trained on that client's business and is able to write hyper personalized emails. So all the client sees is the emails.
06:30What they don't see is your AI that you're using to write these emails. A regular email delivery business, that's like a service based email delivery business might charge $2,000 a month for this.
06:42And there might be manually doing it and because you have the advantage, you understand how to use AI properly, you can use AI to do the same exact work that email delivery business is doing, but with a fraction of the time. So you can onboard more clients, which means more revenue.
06:58And AI agencies are competing on price, AI delivery business is competing on results. The better the results, the higher the retainer you can you can charge. So like, if this goes up, this goes up.
07:08I I know AI delivery businesses are charging like $8,000 a month per client. $8,000 a month. That is equivalent of like, what, 16 of these.
07:17Right? Imagine that. And great example of one of my students, Tessa.
07:22She had a strategy call with a nationally distributed food brand, and she's using AI and automation systems to handle a lot of the core services that this company needs. So this includes CRM pipelines and and car automations, TikTok growth strategy, SEO preservation, and she is also selling AI systems.
07:40It's not like she's completely abandoning the AI the AI side of things. Like, she is also selling AI and automation systems and using AI automation systems for the regular services like, you know, TikTok growth or SEO, uh, preservation. So this is kinda like a hybrid model where you're kinda doing AI, agency, and AI delivery.
07:58Right? You're only selling tools, but you're also using the tools to, you know, accomplish x service. So that is a key distinction between the two.
08:06Okay? Now here is a great example.
08:10The LinkedIn ghostwriting. LinkedIn ghostwriting is one of the biggest emerging industries right now. Uh, I'm literally working like several clients on helping them build their own LinkedIn ghostwriting business, and this is this is like the the difference.
08:23Right? The old way is you have a a human that writes every single post for that creator or LinkedIn influencer or business, and they might charge four posts a week per client, and they can only do four or five clients because, you know, when you're writing I mean, if you have, let's say, let's say you have five clients.
08:41Right? So five clients, four post a week per client, that's 20 posts a week per yeah.
08:5020 posts a week right now. Right? That's a lot of work, especially doing it solo.
08:54Now you can still make about $10,000 a month. I mean, you know, if your goal is 10 k a month, that's great, but it's gonna be really hard to break past this. You will not be you probably won't be able to break past this.
09:04To break past it, however, is you did use a new way, which is you and AI pipeline. So going back to what we talked about earlier. Imagine you're able to scrape the old posts of that LinkedIn creator.
09:18You train their voice in Claude. You pull trend angles. You generate 20 drafts.
09:23You're fine in post. So Claude is the one that's doing all the work. Right?
09:26So right here, you have AI. So Claude, and you can just read a Claude skill, for example, that's doing all of the post generation.
09:35All you have to do is minor edits. This might take you like if this takes you, let's say let's say ten hours a week.
09:44Right? Ten hours. This should take you probably three hours.
09:50So you're saving almost triple the time. And as a result, you can get nearly triple the clients. So now imagine you have 12 clients.
09:59Right? And you're charging 24 k a month.
10:04So you're charging 2.4 x that original cost or the original, like, um, revenue.
10:12You're making 2.4 x that by switching to a you plus AI pipeline. Okay? Instead of the solo human.
10:19Alright? This is a key difference. This is a great example of a business that you can literally start today if you wanted to.
10:24Yes, you might be lacking the execution and guidance, which is why if you wanna work with someone who has that execution and pipeline already figured out for you, you can click the first link in the description. I'll be more than happy to help you. I've helped so many students like Yusav Bouchal, you know, get their own clients and start their own AI delivery businesses.
10:40Now with all that being said, right, here's how you can go ahead and get started today because a lot of you are probably gonna watch this video and then watch the next video that comes after this. No. Don't do that.
10:49After this video, I want you to focus and do these exact five steps. Alright?
10:54So first, you're going to just pick one service, and AI should do 80% of that service.
11:01So ghostwriting, create AI videos, like, you know, using Higgs field or email. You wanna build a small AI system that can do the core work, like 80% of the work for you.
11:12Alright? You can use Cloud or any of them if you want to. You just wanna find one person.
11:17All you gotta do is get one LinkedIn person or one Reddit creator, one person who who uses who has a newsletter, you wanna write emails for them. Just find one person, send them a voice memo DM, not 5,000 emails. Right?
11:30Just just a voice memo DM. Okay? Just make it hyper personalized.
11:34You send fifteen, twenty of these and should get some good responses. Then when you do get that client, you wanna deliver insanely well and you wanna make them a case study. K?
11:43You have to make them a case study because that will allow you to get more clients. You also ask for referrals and you also post their case study on social media to get more inbound clients. Alright?
11:53And remember, founders know founders. So if you do a good job with one founder, there's a high chance that that founder will bring more founders to you. Right?
12:00So that founder might bring one founder right here, one founder right here, one founder right here. These founders might bring more founders and you're able to grow your business like tenfold very quickly.
12:10So you have to do a good job. Right? And this is a five step pipeline.
12:14If you wish to do this part on Monday, this can be like Tuesday. This part can be like Wednesday to Friday.
12:23Saturday, Sunday, you can write the first 20 posts and show it to a client. They'll be amazed, and then you get the referral by Sunday slash Monday.
12:30Now, the AI agency model is not dead, but there's so much better that you can do. You can literally use your current skills and turn it into an AI business and deliver faster than anyone else in your niche can. And if you add a personal brand like my YouTube channel or Instagram on top of that, you can get clients in your sleep.
12:46So if you want to build and scale a successful AI business with a strong personal brand that will bring inbound clients to you while you're sleeping, then click the first thing in the description below, and let's work one on one for sixteen weeks straight. I mean, I'm literally the best mentor in town. To learn more about building one person AI business, watch this video next.
The Hook
The bait, then the rug-pull.
The opening claim is deliberately provocative: Y Combinator just ended AI agencies. What follows is not a eulogy but a pivot — a 13-minute argument that the window for selling AI tools to small businesses is closing, and the window for using AI to deliver services at scale is wide open.
Named ideas worth stealing.
04:28model
AI Agency vs AI Delivery Business
- AI Agency: sells the tool, $500/month, client plugs it in, sells software, competes on price
- AI Delivery Business: sells the outcome, $3,000/month, you handle everything, AI is invisible, competes on results
Side-by-side framework distinguishing tool-sellers from outcome-sellers, used to argue for the pivot from agency to delivery model.
Steal forPositioning any service business against commoditized competitors
10:43list
The 5-Step Launch Plan
- Pick one service where AI does 80% of the work
- Build a small AI system for the core deliverable
- Find ONE person via voice memo DM (not mass email)
- Deliver insanely well and make them a case study
- Ask for one referral — founders know founders
Week-one execution plan for launching an AI delivery business from scratch, ending with a paying client by Sunday.
Steal forFirst-client acquisition for any new service business
08:17model
LinkedIn Ghostwriting Math
- Solo human: 5 clients, 4 posts/week each, 20 posts/week total, 16 hours/week, $10K/month ceiling
- You + AI pipeline: 8-12 clients, same deliverable, 3 hours/week, $24K-$36K/month
Before/after arithmetic showing how a Claude pipeline triples capacity on the same time budget.
Steal forAny capacity-constrained solo service business wanting to show the math of AI leverage
How they asked for the click.
VERBAL ASK
10:19product
“click the first link in the description. I'll be more than happy to help you.”
Mid-video CTA at 10:19 pointing to agentrise.io coaching program, repeated at close with 16-week one-on-one framing. Heavy on social proof (200+ students, named student wins) but the ask is a single link click.
FROM THE DESCRIPTION
PRIMARY CTAWhere the creator wants you to go next.
OTHER LINKSAlso linked in the description.
Visual structure at a glance.
