Transcription
Everyone is building the same AI businesses. Chad GPT rappers, copycat content mills, image generators, generic automations. But those markets are already red oceans. They're saturated. They're bloody. Price is racing to zero.
And if you only look closer, you would see that the biggest AI wins are not in Silicon Valley. They're not sexy startups. They're happening in industries nobody's even paying attention to.
In 2025, for example, a waste management company rolled out Gray Parrots AI vision systems to track and sort waste with 99% accuracy. And instead of hiring teams to manually check trash samples, the AI ran 24/7 with 99% accuracy while slashing costs by 250x. The same year, painters started using BEAI's estimator. What used to take hours of measuring and quoting got cut by 90% which meant contractors could process 30% more projects with the same crew.
I mean, these are maybe not the type of unicorns that you would voluntarily bring up at a party, but they're boring businesses your neighbor runs. Waste recyclers, painting contractors, the people you would never expect to be on the cutting edge of AI, but they are.
In every technological shift, the fortune doesn't go to the people who do more of the obvious thing. It goes to the ones who spot the overlooked angle before anyone else. And while everyone else is chasing scraps or sexy startups, I've been mapping out something different. $3.76 trillion opportunity space that almost nobody is talking about.
So today, I'll walk you through six under the radar industries that add up to 3.76 trillion opportunity map. And I'll show you why each of these is such an underrated but massive opportunity market. how AI can transform them and what it would actually look like for you to step in right now. And by the end, you will see exactly where the next blue oceans are and how you can claim your peace before they're crowded or red.
If you've ever felt like you're late to the AI gold rush, well, you're not. You are just looking in the wrong direction because while everyone else is chasing another chatbot idea, the real money is flowing into industries that nobody is watching. So, are you ready? Good.
Niche number one. This one is healthcare related, specifically type 2 diabetes. Unsexy maybe. But here is what shocked me. It's one of the fastest growing health challenges on the planet and AI can pretty quickly transform it. So let's look at the facts. Type 2 diabetes affects over 589 million adults globally today. And that number is projected to hit 853 million by 2050 according to the International Diabetes Federation report and WHO report 2024. I mean, in the US alone, diabetes costs the health care system more than $413 billion annually, according to CDC. And the daily pain point, I think, is meal planning. Patients know they need to manage diet, but 80% of them fail to stick to nutrition guidelines long-term because it's too complex in order to track food, track portions, blood sugar impact.
But there is a massive opportunity for AI because instead of generic diet sheets, imagine a tool that takes a patient's blood glucose data, food preferences, maybe even local grocery prices, and then spits out personalized day-by-day meal plans. I mean, we're already seeing AI diet coaches in the wild. In early 2025, startups like January begin piloting AI-driven nutrition platforms that are able to predict blood sugar responses to meals and recommend alternatives in real time. And I think we read that in TechCrunch back in January.
So how do you get in? Probably a number of ways that you can get in as a solopreneur. You can start small. You can offer an AI assisted meal plan template for diabetic support groups or for local clinics or for any specialist in your area. You can use chat GPT, I don't know, GPT5 or 4 or another LLM to fine-tune prompts to create dynamic meal plans based on inputs like budget and cuisine and health restrictions. And then you can layer in a simple, I don't know, Airtable or Notion tracker where patients can log meals and AI adapt recommendation weekly based on those logs. There is already a ton of spending on this subject. Medicare, for example, reimburses $194 to $230 per patient for diabetes self-management education. And nutritionist consultations cost somewhere around $100 to $200 per person. And this way you could consider charging clinics or coaches a certain amount per month to provide this and add value to their patients. And I'm not talking about building a full startup. I'm talking about offering a done-for-you AI meal planning system as a service. So bottom line, the bigger the problem, the less you need to convince people to pay for the solution. And I think this one is a really critical one, okay? Because diabetes is a $300 billion problem, which makes meal planning a wedge that's small enough to start but powerful enough to scale up.
Niche number two. I hinted at this earlier, but I want to come back because I think it's a massive opportunity. So, look, everyone wants to build the next shiny AI app. Meanwhile, garbage trucks are quietly becoming billion-dollar efficiency machines. Waste and recycling may sound boring, maybe not so enticing, but it is a 1.2 trillion global industry according to President's Research Waste Management Market, and AI is already starting to reshape it.
So, let's look at the market. Okay, cities and companies are losing billions every year to inefficient collection routes and contamination in recycling streams and rising landfill costs. So, for example, in the US, we found that $2.6 billion is lost in recyclable value due to contamination. And the pain, I think, is very obvious, is super clear. Recycling centers and municipalities need smarter, cheaper ways to manage waste, but they don't have in-house AI talent.
How can you bring AI to this kind of niche? Well, AI vision systems can now spot recyclables on conveyor belts with up to 95% accuracy compared to 70% with human sorting according to Fast Company. I think it was February 2025. And there's actually a company that I read about um I think it's called AMP Robotics that piloted systems in Colorado that cut landfill bound waste by 40% in under 6 months, saving operators millions. And on the logistics side, AI-powered route optimization software is able to reduce fuel costs for waste haulers by 10 to 20% according to Reuters.
How do you get in? Well, it might not seem so straightforward, but you could consider starting by offering an AI audit service for local recycling facilities or for small waste contractors. And you can use off-the-shelf computer vision APIs, I don't know, like Google Vision for example, to run sample tests on sorting accuracy. You can build custom dashboards in Notion or Airtable to help keep track of those contamination rates. And you can position it also as a monthly retainer service. So you can charge a certain amount per month for AI optimization reports and continuous tuning. You can also upsell. So you can partner with hardware providers like AMP or Gray Parrot and then you can charge integration fees when your client scales.
So look, if you can turn trash into savings, I believe that you can build something that no CFO will be able to ignore. And I know waste is not sexy, but it's predictable, it's regulated, and it's everywhere. which means AI is not an option here. It's not an opportunity. It's a necessity.
So, let's jump to niche number three. This one is also not a sexy one, but Airbnb hosts, schools, hospitals, and office buildings all share this one big problem. Cleaning schedules that make or break customer trust. The global cleaning and facility services market is worth $390 billion according to Fortune Business Insights 2024 report. However, most companies still run on pen and paper schedules or clunky spreadsheets.
I think the pain point is very very simple but also very very brutal. Missed cleanings equals bad reviews. Overcheduling equals wasted payroll. And poor documentation is a big reliability risk. In the US alone, janitorial mismanagement costs businesses over $10 billion annually in wasted labor and customer turn according to Statista.
So, how can you bring AI into this? Well, AI-powered scheduling tools can cut missed appointments by 30% through predictive demand. According to McKinsey, in the UK, a facilities agency piloted an AI photo check system where cleaners upload a quick photo and AI flags missed areas, for example. And the result there was pretty astonishing. 25% reduction in complaints in just 3 months, according to BBC News. And route optimization tools are also shaving maybe 10-15% off travel time for mobile cleaner crews, according to Reuters.
So, how do you get in? Well, this is a classic wedge for a solo entrepreneur in my opinion because you can offer a cleaning operations audit. So, you can show how much time and money they're losing with current scheduling. And then you can deploy an AI scheduling app. You can use a lot of free tier SaaS options there. And you can layer in computer vision if you want to get fancy for quality assurance. So, you can use Google Vision or Rooflow to auto flag missed spots from before and after photos and things like that. There are companies that are doing this already, but less with AI at the moment. I think ServiceTitan charges $200 to $500 a month for field service management. Cleaning business consultants charge somewhere between $100 and $300 an hour. And with this in mind, you can package um certain retainer service for small to midsize cleaning companies and charge that repeatedly every month.
Now, look, AI doesn't clean floors, it cleans inefficiencies. So, for solo builders, this niche is gold, I believe, because it's high volume, it's super low tech, unless you want to get fancy with the computer vision, and it's desperate for reliability. Every business needs cleaning, and AI makes it cheaper, faster, and more accountable.
Okay, niche number four. So, this one is something that I personally care about a lot. It has to do with the elder care industry because it is worth $1.2 trillion globally according to Grand View Research 2024. But the paradox is while healthcare gets cutting-edge AI, elder care is still managed with sticky notes and phone chains. But the data shows that by 2050, one in six people worldwide will be over 65 according to WHO. However, staffing shortages already plague the sector. The US is projected to be short 151,000 people according to BLS by 2030. And families worry about two things. Safety, falls, emergencies, missed medication, and reliability. Caregivers showing up, being matched to needs, and so on and so forth.
So, how can AI help? Well, there's already some really nice examples. In Japan, for example, home care agencies use AI triage chatbots to intake patient concerns and route caregivers fast, cutting response times by 40% according to Nikkei Asia 2025. And in Canada, an elder care pilot used AI fall detection and caregiver routing to lead to 22% fewer hospitalizations in just 6 months. And AI scheduling optimizers are already reducing no-shows by 15% according to Forbes.
So what does a solo builder, a solopreneur do in order to get in? Well, you don't need to build a full medical AI. You can just start simple. You can offer agencies um care operations audit to show how much time and money is lost on scheduling chaos. You can deploy AI scheduling tools. You can use N8N. You can use Airtable automations agents. You can add fall detection and monitoring using off-the-shelf computer vision. You know, I I keep mentioning this because I think it's really interesting. And then you can package this as a retainer, you know, a monthly amount that they will pay you in order to uh have access to this kind of insight. And if you look at what they're spending money on, ClearCare, for example, charges $100 to $300 per month for caregiver software. Healthcare consulting ranges between $200 to $500 an hour.
So look, AI will not replace human care, but it can amplify it. And in elder care, AI does not reduce compassion, but it buys caregivers more time to be human.
So let's move to niche number five. This one is uh something that actually came up as an idea in our founders community, which I'll talk more about later, and it has to do with painters, because painting might not sound like a trillion-dollar industry, but the numbers tell a different story. The US painting contractors market is projected to reach $211 billion by 2029 according to Grand View Research and it's fragmented, hyper-local, and full of inefficiencies that AI can track.
So here's the reality that most contractors have to deal with. They spend hours driving to properties just to give a quote. They schedule crews, it's an entire nightmare because of weather delays, because of changing orders, because of labor shortages, which constantly throws off their timelines. Their cash flow suffers when estimates aren't accurate or projects drag longer than expected. So there is a lot of opportunity that AI can turn these pain points into leverage.
So you can look into AI estimators for example. You can have them upload a few photos of the property and then AI can calculate the square footage, the surface, generate a ballpark cost instantly and then there is no more wasted trips. You can look into offering scheduling assistance, for example, where you can pull in weather data and crew availability and job priorities to dynamically reassign teams so downtime gets slashed. Or you can look into customer transparency. Basically looking into automated updates via SMS or email if they use email to keep clients in the loop, cutting down on angry calls.
So how do you get in? I think this is a gold mine because contractors are not tech-savvy. They just want something simple that saves them time and helps them close jobs faster. So here a good business model I believe would be to offer um estimation and scheduling AI software which could be powered by computer vision and or just an LLM. We've actually tried that just with LLMs and it works pretty decently just based on photos. And then you can charge a certain amount per month per contractor depending on the company size for them to be able to use that feature or you can also upsell custom reports if you want to give them insights that they can make decisions off of.
Now, if you look at what they're spending money on, contractors already pay $50 to $200 per lead on platforms like Angie's or HomeAdvisor. BuilderTrend, for example, charges $99 to $699 per month for construction management. So, I mean, paying you a couple hundred a month to win and manage jobs is, I think, a no-brainer. Even a modest product can outperform their current manual process. So, you will be able to bring them from the 2000s into the current day. I mean, painters don't need AI transformation. They just need help showing up on time and quoting accurately and keeping crews busy. That is exactly what AI can do and they will pay for it immediately.
Now, niche number six. This is something that seems and sounds fancy, but it's so critical. I mean, think plumbers, landscapers, roofers, dentists, painters, HVAC companies. Their lifeblood are reviews. One bad review that goes unanswered can lead to them losing trust. Dozens of great reviews across platforms lead to steady pipeline of new clients. But the problem is that most of these businesses do not manage reviews consistently. They don't reply. They don't request feedback. And they definitely don't analyze trends.
So you can look into reputation management and use AI to make this simpler. So you can look into creating an auto-reply like a GPT that can generate polite personalized responses to every single review whether it's positive or negative. You can look into uh sentiment analysis for example where AI can flag recurring issues before they turn into reputation problems. You can look into implementing an automation for review requests where automated texts and emails can nudge happy customers to leave hopefully five-star reviews. And I think this is a dream because local businesses will gladly pay several hundred, maybe even $1,000 a month for someone to make sure that their Google reviews look good. And you don't need advanced tech. You just need to combine simple tools for something like this, you know, like Zapier or Make or N8N. Build simple automations. And there's very little competition right now in the AI reputation niche because most agencies still do all of this manually.
So if you're thinking about a business model, you can have, for example, a starter package where you charge a smaller amount per month for automated review replies. You can maybe then have a growth package where you charge a bit more and you can add proactive review requests or trend reports and then have a premium package where you give a full-service reputation management where you have AI-driven insight and your own oversight. And companies are already charging for something like this, but without AI. I mean, Podium charges up to $449 per month for messaging and reviews. Uh, ReviewTrackers charges up to $499 per month for review monitoring. And I know it's not glamorous, but if you control a business's online reputation, you control their customer pipeline, and that makes you very hard to fire.
Thank you so so much for watching. Thank you for being here and staying with us till the end. Like this video if you did. Be sure to subscribe if you haven't done so. And also make sure that you share this with anyone in your circle of friends or family who is interested in doing something with AI and waiting for this magical opportunity. And if you want to take this one step further and actually apply it together with over 11,000 other people who are on the exact same path as you are, you're more than welcome to come and join us to our free school community. We have so much fun over there. We have challenges every two weeks where we actually apply everything that I talk about on this channel. And we also have calls every two weeks where you can come and ask your questions and hang out with everybody else. We have such fun and such great conversations. So, you don't want to miss out on that. Thank you so so much. Until next time, I suggest you go ahead and watch this video over here and I'll see you soon. Bye.