Creator Playbook: Monetize AI Chatbots

$100M Net Worth Creator Cases + Practical Playbook

👋 Hey, I’m Stepan and welcome to a ✨ subscriber-only edition ✨ of Creators’ AI. By subscribing, you directly support Creators' AI's mission to deliver top AI insights & practical knowledge without ads or clutter. Your subscription allows us to grow our dedicated team and curate the most important AI Tools, Stories, and Tutorials in one place. - Stepan

---

Intro

You probably know that modern chatbots are not limited to the popular ChatGPT, Gemini, Claude, and Bing AI. Using neural networks, creators and companies worldwide have long learned how to build their platforms to improve business or create new revenue streams. But have you considered how difficult it is to make your chatbot, train it on your data, and apply it to a real business?

Today, I invite you to discuss it. We'll explore real-life case studies of how creators, entrepreneurs, and IT companies use chatbots to grow their businesses. All are making big profits on chatbots, some boosting company profits by $40M, while others reach $100M net worth with personal brands or earn $3,500 per AI assistant created.

In this edition:

• Different cases to make money with custom chatbots

• Tutorial on how to build your own chatbot trained on your data

• Useful tools, tips, and tricks for business based on custom chatbots

---

🔗 Are you already subscribed and want to ensure you don’t miss our newsletters? Move our newsletter from “Promotions” to “Primary” in your inbox! (video instructions below)

---

Real Cases

Klarna: One chatbot instead of 700 full-time agents

So as not to procrastinate and guess (can AI chatbots really be useful?), let's start with the elephant in the room. A couple of weeks ago, Klarna, the largest European fintech hailing from Sweden, announced its AI assistant powered by OpenAI. The company admitted that it has been using the platform for a month and talked about its results.

We wrote about it in our weekly newsletter, if you missed it!

A few AI chatbot metrics from Klarna and OpenAI:

• The AI assistant had 2.3M conversations (two-thirds of customer service chats)

• It is doing the equivalent work of 700 full-time agents

• It is more accurate in errand resolution, leading to a 25% drop in repeat inquiries

That sounds very serious, but that's not all. Thanks to the AI integration, Klarna customers now solve sub-daily tasks in less than 2 minutes compared to 11 minutes previously. The bot is available in 23 markets 24/7 and supports over 35 languages. Most importantly, Klarna predicts the new chatbot will increase the company's revenue by $40 million by the end of 2024.

We decided to start with this particular case study because (however we feel about it) trendsetters in today's world are big tech. IT companies can both guarantee the success of specific trends and doom creators to failure. Fortunately, we're dealing with the former case here.

Klarna's successful metrics increase consumer and entrepreneurial confidence in AI, opening the way for more accessible projects. We will discuss these below.

---

How entrepreneurs are making up to $100M using chatbots

In the second case study, I offer to look at several online entrepreneurs at once and then summarize the impact that chatbots are making on them. So meet Alex Hormozi, Tai Lopez, Russel Brunson, and Jenna Kutcher. They are different, employ different strategies, and create different products. However, what they all have in common is being active online and, yes, using AI chatbots and automation.

Oh, I almost forgot. They also share an impressive financial aspect. Hormozi's net worth is now estimated at $100M, Lopez's revenues exceed $100,000 per day, Brunson's income at a minimum of $40 million, and Kutcher recently made $1.2M in affiliate program sales in seven days.

Alex Hormozi, Tai Lopez, Russel Brunson, and Jenna Kutcher

These entrepreneurs are using chatbots to automate and optimize their work. They turned bots into another lead qualification and sales funnel, accelerating audience interaction and attracting loyal customers. Chatbots communicate with subscribers, answer simple questions, collect important data like emails, and promote products.

All of this is laborless and works 24/7.

Speaking of entrepreneurs, here's another case study for you. James Wedmore, a business coach who outsources audience feedback to AI. He connected a chatbot to the DM and automated the response to any messages. You can ask him a question related to James himself or talk about distracting topics.

Sometimes, this leads to amusing results:

To summarize, here are a few reasons why creators are using chatbots:

• 24/7 Automation (no potential sales/leads gonna be missed, all with cheaper costs and no hassle)

• Personal Chat Experience (cool person inviting you to send them private message vs email/contact humanless form)

• AI Power (AI can have more empathy, attention to detail and scale, of course)

Keep your mailbox updated with practical knowledge & key news from the AI industry!

$3,500 to create a custom chatbot for sale

In the third case study, we focus on a more applied example. Specifically, I am talking about Liam Ottley, a 23-year-old AI creator from New Zealand. Liam started his journey as a beginner with no specific skills but figured it out and became an expert creator of AI chatbots and monetized them. He used the following route: Affiliate -> Online Courses -> Community -> Agency.

So that’s how he went from $0 to $160,000 monthly in just eight months.

To achieve this result, Liam took a deep dive into AI, and one of his main areas of focus was creating chatbots for sale. Liam started his online business journey with e-commerce and drop shipping. In late 2022, he began playing around with language models. Early last year, Liam created a YouTube channel to document his growth and to teach people how to make money with AI. 

One of Liam's main focuses is creating custom AI chatbots. Unlike the first case study, the creator doesn't make bots for his company but helps others grow. Liam relies on no-code Botpress and Stack AI platforms for his work. With their help, it takes him less than two hours to create an AI assistant, but each order is worth at least $3,500!

To be fair, we have to say that we can't verify the numbers that Liam shows, but his views on YouTube, guides and audience feedback speak for themselves.

And that's not the end of it. In the near future, Liam's goal is to increase his AI revenue to $1M per month by building his own SAS platform and accelerating the production of custom chatbots. So, let's follow his progress.

Learn more about AI Automation agencies with this newsletter:

Business With AI: AI Automation Agencies

---

Interim conclusions

So why these case studies? It's very simple.

They show that building your chatbots can provide different values. In the case of Klarna, the company improved its business by increasing the number of clients served and, consequently, its profits. In the case of entrepreneurs, it's about brand recognition and enhancement.

At the same time, Liam Ottley took a different approach. He used his skills in creating chatbots to limit support for third-party businesses and guarantee himself a tangible profit. So maybe we can do the same?

Let's examine how to create a custom chatbot trained on your data with no investment (even as a subscription).

---

Build Your Own Chatbot Trained on Your Data