Hi there! Today, we’re going to unravel some truth bombs about making money with ChatGPT. Wondering why you should trust me? Well, with a decade of experience in the tech industry, I’ve seen the rise of AI firsthand, so you’re in good hands.
I bet you’ve come across a lot of YouTube videos talking about using ChatGPT for passive income, right? They sell you dreams of easy money with those so-called proven methods, making $500, $1000, or even $15,000 per day of passive income. Tempting, isn’t it? But is it as easy as it sounds? Are they really as profitable as they claim? Well, stick around, because you and I are about to peel back the layers and reveal what they’re not telling you.
Let’s start with the first method you often hear about: creating prints with ChatGPT and selling them on Etsy. Sounds easy, right? You just create a bunch of prints and voila, you’re an Etsy millionaire. But darling, there is a lot more to it. Sure, creating prints isn’t hard, but selling them? That’s where things get tricky. Etsy is teeming with competition, and there is no shortage of sellers using ChatGPT. To actually sell anything, you need a well-established shop with good reviews and a solid purchase history. Just popping up and selling? Not likely.
Then there is the freelance marketer or copywriter path. Those charismatic YouTubers in the business course suggest you use ChatGPT to generate text, then sell your output on freelancing platforms like Upwork. But what’s the reality? Well, platforms like Upwork are already overwhelmed with freelancers who use AI. This has led to a drop in prices and an increase in competition. If you’re new in the business, you need reviews to stand out. I tried to sell on a new account as a freelancer copywriter, and just as they said, it didn’t quite work out. It can take 2-3 months just to earn the first thousand bucks, and that’s if you’re lucky.
Now, let’s talk about the Holy Grail of passive income: affiliate marketing. You’ve probably heard the stories of creating a blog post with an affiliate link and watching the money roll in. Well, let me burst that bubble for you. I’ve spent five years working in one of the biggest affiliate marketing platforms, and let me tell you, it’s not as easy as it sounds. They make it seem like all you have to do is test a few affiliate products, create dozens of blog posts for each, and then just sit back and wait for the organic traffic to flow in. But in reality, it’s a grueling process. You might have to test from 10 to 30 affiliate products, creating up to 40 or 50 publications for each one. And even then, there is no guarantee that you’ll get the desired organic traffic or conversions. If you’re looking for a shortcut, well, that often means paying for traffic. But guess what? That can cost you upwards of $100 per page visit, with no guarantee of conversions. You could end up spending a hefty sum just to see minimal results.
I just want to save your time and money by avoiding methods that don’t work. Have you tried any of the ways to make money with ChatGPT that we haven’t talked about yet? Did it work, or was it a complete flop? Write in the comments, I’m really interested in real cases.
Now, you might ask, what do I recommend? Here’s my take: what I truly believe is that having basic programming skills can be a game-changer. Think about the cost of the first-line customer support people. That’s a job that can be automated using ChatGPT API. Imagine creating a system that uses machine learning from a company-owned scripts and examples, integrated with a system like Zapier, CRMs, or even Facebook Messenger, to communicate with customers. Essentially, you’re providing a service for companies who want to save on paying for first-line support. And here’s the kicker: one automation could replace anywhere from five to one hundred or even more first-line support managers. This frees up human staff to focus on more complex second-line support tasks. Yes, it’s not an overnight job. It takes time, effort, and a good amount of technical know-how. But imagine the potential in three to five years. This would be the new normal. This kind of automation is the future of work, and those who can leverage it will be ahead of the curve.
Alright, let’s dig deep into better automating first-line support with ChatGPT. I’m going to break down how this could work for businesses. Let’s say a US-based company with a 20-customer service team in place. Let’s consider a company that pays each of their 20 customer service reps an average salary of $35,000 per year. That’s $700,000 per year just in salaries, not to mention additional costs like taxes, training, equipment, and so on. Let’s add another 20% for those. That brings the total cost to around $840,000 per year. Now, imagine if we automate the first-line support with the ChatGPT system. This AI-powered chatbot would handle basic inquiries, troubleshooting, and even guide some customers through standard processes. But what’s the cost of this kind of automation, you may ask? Well, the cost of using ChatGPT API depends on the usage. It was around 6 cents per API call for GPT-3.5. Let’s assume you get a heavy flow of customer inquiries daily, say about 5,000 API calls. That will cost around $300 per day, or more than $100,000 per year.
But how much does it cost to develop this system? Well, if you’re developing it yourself, you might need about 2-4 weeks of solid work. You’ll be programming, testing, debugging, all the fun stuff. Now, I know this sounds like a big task, especially if you’re not so familiar with programming. But don’t worry, I’ve got your back. If you’re interested, I can provide a link to a step-by-step Python tutorial that will guide you through this process. Just ask in the comments, and I will provide you with the link.
And here’s the strategy: sell your service as a pilot project for the first client. You might offer it for a lower price, like $50 per API call or $100,000 per year. They will pay for the API calls. You get a chance to iron out the bugs in a real-world setting, all while improving your system. Picture your automated system replacing the 20 in place. Instead of paying $840,000 a year for 20 support employees, the company would pay you $100,000 for your service and another $100,000 for the API calls. That’s a total of $200,000. So let’s compare: with the automated system, they’re spending $200,000 without it, $840,000. The potential savings is $640,000 per year for that company. Even when taking into account the cost of implementation and maintaining your system, you’re still saving a staggering amount. Now, that’s a win-win. What do you think?
And remember, this saving is just for one client. Once your system is up and running, sell it to multiple clients. Just imagine the multiple-year earnings with your price tag of $100,000. After the pilot program, it’s a drop in the ocean compared to the vast savings these companies tend to make. Remember, this isn’t about a quick buck. It’s a long-term vision. We’re talking about changing how companies handle customer support lines and how you can actually profit from it.
And hey, if there is any other method you want me to take a closer look at, just drop it in the comments below. I’m always ready to cut through the hype and reveal the truth. And as always, keep hustling!
