So, every single month you're paying for ChatGPT, and probably Claude as well, and maybe something for video on top of that. And so far, all of it has only cost you money and hasn't made you anything back. And I've made a lot of videos about AI on this channel. And there is one comment that turns up on every single one of them, which is, "Vaibhav, how do we actually use all of this to make some money?" So, I went and looked at dozens of these ideas properly, and most of them failed for one simple reason, which is that nobody could tell me who the customer actually is and why that person would pay you. And these 10 are the ones that survived that. And for every single one, I'm going to tell you the same four things. So, what you actually do, which AI tools you need, who pays you for it, and what it costs you versus what you can charge. And it honestly does not matter where you're starting from with this. The first five you could genuinely start today without writing a single line of code, and the last five are the ones people are building actual companies on. And at the end, I'll give you my secret prompt that picks the right idea for you and builds out your whole plan for getting that first paying client. And before we get into it, one quick thing. Even with everything in this video, there is a lot about AI that I cannot fit into one video. So, if you want to go properly deep on this, I'm teaching a free AI masterclass this weekend. It runs two days, 16 hours in total, and me along with a few other trainers will take you from zero to actually good at this. We'll go through more than 20 AI tools, how to use AI in your actual day job, how to build agents, prompt engineering, and automations that save you hours every week. It's completely free, and the link is in the description. So, the first one is answering the phone for a local business, and the tool is called as Retail. You pick a receptionist template, type in three lines about the business, what they do, what they sell, when they're open, connect a calendar, grab a phone number for a couple of dollars, and it picks up, takes the booking, and drops it into the with nobody involved. And the one thing that matters is the fallback line. So, when it gets a question it wasn't set up for, a good one just says, "Someone will call you back in 10 minutes." One job, three things to collect, one fallback for everything else. Because the moment it starts guessing, people hang up. Now, agencies charge 3 to 5,000 just to build one of these. And with a CRM connected, that climbs to 30,000 plus a retainer. And the honest running cost, once you add the phone line and the model on top of the platform, is somewhere between 13 and 30 cents a minute. So, a business doing 20 calls a day is spending maybe 2 to 400 a month to keep it running. So, the retainer covers the running and the money is in that build fee. 3 to 5,000 dollars for something you can put together in days once you've done it before. That gap is where the business sits. And I'm not guessing because there's a guy called Harshit who does exactly this. I've been through his real numbers. And he runs a 5 person team doing multi-million a year selling voice agents at 20 to 50,000 plus retainer. His first build took 2 months. Now, it takes him 2 to 5 days. He still quotes 2 months because the client isn't buying his hours, they're buying their phone getting answered. So, for the second one, you've seen this photo, people with cameras strapped to their heads training robots to see. That's data labeling in its most physical form. But, there's a much easier version where you sit at your laptop, look at answers an AI gave, and get paid to say whether they're any good. The platform is called Asmercor. You sign up, take a short assessment, and if you get accepted, you start reviewing AI outputs. Scale AI does the same, so do Aligner and Remote Tasks. Entry offers tend to start around $35 an hour and go up from there depending on what you actually know. And if you've got a real specialism, a law degree, a medical background, that's where the higher rates live. The one thing I'd tell you up front is that the work comes in batches and it goes fast. So, treat it as hours you pick up, not a 40-hour week. And to show you how real this is, Mercor did 614 million in revenue, 90% of it from AI companies paying for exactly this kind of human judgment. The product they're selling is people like you having an opinion. 10 minutes to sign up and you can be earning from it this week while you work out which of the other nine you want to go deep on. So, the third one is Zapier, where you take the boring paperwork a business does every day and get it to run itself. A form gets filled in, a row shows up in the CRM, the team gets a Slack message, nobody copied anything across. You can do this inside Claude CoWork or ChatGPT work, too. But neither of them reacts to an event, they run on a timer, whereas Zapier and N8N are actually sitting there listening. So, the rule is, let the AI help you build it, don't let the AI be the thing that runs it. Second piece is the money paperwork. Receipts land in a folder, Zero Jacks reads them, categorizes them, flags anything odd, one clean report at month end. And the trap is simple, don't go near the bank feed in month one, because everyone I know who lost a bookkeeping client lost them over permissions, not quality. And Jack Dorsey, the guy who founded Twitter, let go of 4,000 people at Block in February and the company said a big part of it was AI handling that work and profits went up afterwards. Those 4,000 jobs are now services you sell for 1 to 2,000 a month. So, the fourth one is generating content and it starts with ChatGPT making product photos. And the thing to understand is the real product isn't any one image, it's a whole set in a consistent style. For video, it's Higgs Field or OpenArt or InVideo, all doing more or less the same job. For clips out of a long video, there's Opus Clip, it finds the moments, you pick three and rewrite the first 2 seconds and picking the right three out of 15 is the actual job. For voice, it's ElevenLabs, $5 a month for the commercial license, and on the free plan, you cannot legally sell a clip. And there's a guy I know called Priyanko who makes over a million and a half a year making video ads for brands you'd recognize. That shoot traditionally cost a brand half a million with a crew and three weeks of post. He charges 25 to 50,000. It cost him 2,000 to make. Now, two of these are already dead. Don't sell AI video ads as a commodity. TikTok, Amazon, and Meta generate the basic ones free inside their own ad tools. And the reason Priyanko still gets paid is he's selling taste, not generation. And don't build a business on dubbing. YouTube rolled it out free to every creator in February in 27 languages. And the ceiling on this is Aitana Lopez, 400,000 followers, not a real person, built by an agency in Barcelona, bringing in around 10,000 euros in a good month. And you'll see people online claiming she makes 8,000 a post, and the agency has never said that. Real business, just not the lottery ticket people sell it as. Now, the one that sounds small, but pays the most per hour. So, the fifth one isn't a tool at all, and that's exactly why people miss it. Because this one is just teaching AI to other people one-on-one and charging for it. And let me show you the size of the gap. Most people using ChatGPT or Claude open up a blank chat box every morning and type into it like it's Google, and they have no idea something called as projects exist, where you load in everything about their business once so it already knows their customers and how they write and what they sell, and they never explain themselves again. And they don't know skills exist either, where you teach it a job once and it does it that way every time after. These aren't hidden. They're right there in the sidebar. People are paying $20 a month using a tenth of what they already bought and they don't know what they don't know. That gap is the whole business. You sit with one person or one small team for an hour or two and set it up around how they actually work. And one-on-one, that's 200 to 500. A proper team setup is 500 to 2,000. It pays more per hour than anything in the first four because you're not handing over a deliverable, you're handing over a problem that's gone. So, those five you could start today. The next five are where it gets bigger. Now, here's what's actually happening in the market. Oracle cut around 30,000 jobs over the past year and the stock still went up because the market saw the same revenue coming in with fewer people. And when these AI tools hit the IT sector this year, hundreds of billions in services stocks moved in a single week because investors started to believe software can replace headcount. So, the next five are built on that shift. So, the sixth one is Google AI Studio and I'd start there because it's free, no card, nothing to pay. You describe what you want, it builds it, you try to break it, you fix what broke, you ship it, and you've got a real working app with a proper URL running on a phone. Now, here's the ladder, watch the prices. Google AI Studio free, that's where you learn. Lovable, $25, that's where you charge 500 to 2,000. Replit or Cloud Code or Codex, about $20, that's 2 to 8,000 a project. Every rung costs the same $20. The only thing that changes is where the app ends up living. This is the biggest trap in the video because the tool gets you 80% there in an hour and it feels amazing. But that last 20%, their calendar, their payments, the way they actually work, that's where it breaks. That last 20% is the entire job. So, anyone showing you a finished app in 20 minutes is showing you a prototype. And you can see both ends of this. There's an agency called Imaginary Space doing 100,000 a month with a floor of 20,000 a project and two guys running something called Ship It, charging 10,000 euros for an MVP. Same tools, both making real money. And then there's Midjourney, that story everyone forwarded in April where The New York Times profiled it as a $1.8 billion company doing 400 million in revenue with two employees and a pile of AI. And then it came apart because they'd allegedly been running 800 fake doctor accounts on Facebook. And they'd already had an FDA warning letter before that profile ran. The revenue was real and the business still wasn't. And the lesson there is that validation matters more than the tool. So, the seventh one is finding customers. And this is the one businesses buy the fastest because everything else on this list saves them time and this one makes them money. Here's the actual job. A business tells you who their customer is, a plumbing supplier in Texas, a dental clinic doing Invisalign, whatever it is. And you hand back a list of 200 real people with names, emails, job titles, and a reason to call each one this week. The tool is called You put in the kind of company you're after and it finds you the actual person you need, their email, their LinkedIn, and things like the fact that they changed jobs last month, which is the single best reason to call anyone. Apollo does the outbound side and Claude or ChatGPT writes the research layer feeding into it. And the reason this one is easy to sell is that the business already knows what a customer is worth to them. If a client is worth 10,000 and you bring them three, nobody argues about your 2,000 a month. One to 5,000 on retainer, three clients and you're at 9,000 a month. So, the eighth one is Happy Robot and all it does is answer that "Where is my truck?" question for trucking companies and last week it raised 150 million at a $1.2 billion valuation backed by a 16Z. It's doing the exact same thing as idea one, answering the phone except for one industry over and over. And that's the whole play. You take idea one or three or six, and instead of keeping it generic, you point it at one industry and repeat it. Because a generic product competes with 50,000 listings, and a specific one competes with about three. There's a guy called Peter Levels who makes around $105,000 a month from an app called Photo AI. People upload 10 photos and get AI versions back, and he runs it with zero employees off one PHP file, same models everyone else has access to. The exact same ones. Just aimed at one audience with one problem. Now, the most boring idea on the list, which is also the hardest one to lose. So, the ninth one, there's a company called as Basis doing AI bookkeeping, and in February it raised a hundred million at 1.15 billion, backed by Accel and Google Ventures. Google's own investment arm putting real money into accounting software. And you can build a smaller version with Claude and N8N or ChatGPT and N8N. It doesn't matter which. Where receipts come in, transactions get categorized, anything strange gets flagged, and one clean report goes out. 1,500 to 3,000 a month per client. So, three clients is four and a half thousand a month that shows up whether you did anything new or not, and that's the actual difference between this and everything in the first half of the video. And the whole moat here is trust. So again, don't touch their bank feed in month one, don't automate their payroll. You start boring and you stay boring, because the most boring business is the hardest one to walk away from. So, the last one. It pays the most, and you've already done it nine times in this video without noticing. So, the tenth one is the highest paying idea on this list, and it's also the simplest. In the first nine, you were the one doing the work for a client. This one, you don't do the work at all, you walk into a company and set it all up for their team instead. Setting a whole team up pays 2,500 to 10,000 for a few days of work. And the reason a company happily pays that is simple, because a company already has a training budget that's approved and sitting there, and that money has to be spent before the year ends. So, they're not really deciding whether to spend it, they're just deciding who to spend it on. So, 10 ideas is a lot. So, I've built a prompt you paste into Claude or ChatGPT, and instead of telling you what to do, it asks you five questions. And based on your answers, it picks one or two of the 10 ideas from this video and builds you a week-by-week plan for the first 30 days. What to set up, what to skip, who to reach out to, and what to charge. So, that's 10 ideas. Act on them today. And one last thing, a while back, I was on a podcast with Josh Woodward, who runs the Gemini app at Google, what skill matters most, and he said, "Taste." So, that's the list. One problem for one person becomes a system that runs without you. And that system becomes the business. And everything from today, the tools, the pricing, that master prompt, all of it, is already broken down step-by-step inside my WhatsApp group. So, the link for that is below. And if you actually want to go and do one of these, that's what the free masterclass this weekend is for. It runs 2 days, 16 hours, and that link is in the description as well. And if the one you want to build is that phone agent from the first idea, I've already made a video on exactly that, and it's sitting on the end screen right now. So, subscribe if you want more like this. There's a new video every week.