AI Apps Making $20,000+ per month with 1 person teams.

TL;DR

One-person teams can build AI apps earning $20,000 or more per month by solving focused problems with AI APIs, no-code tools, and automation. Formula Bot, Photo AI, and PDF AAI illustrate opportunities in Excel formulas, image manipulation, and document analysis, while Ben Tossell built more than 100 products without code. Read on to explore the examples, risks, required skills, and monetization paths.

Transcript

so I got to give credit to Goldman Sachs they have been calling out a lot of things about what's happening in the AI field and so far it seems that they've been doing it very accurately we've covered a few of their reports that they' published throughout 2023 and whenever I kind of go back to those videos it Dawns on me yeah they really knew kind o... Read More

Key Insights

• 😒 Goldman Sachs predicts a significant shift in AI applications towards deployment and practical use in 2024.
• 👨‍💼 Successful AI businesses like Formula Bot, Photo AI, and PDF AAI demonstrate the profitability of AI-driven ventures.
• 👨‍💻 No-code platforms and AI APIs enable individuals to create AI solutions without extensive coding skills, opening up opportunities for automation and monetization.
• 🧡 Monetization strategies for AI applications can range from subscription models to acquisition by tech companies seeking user bases.
• 🌍 Innovation in AI technology offers exciting opportunities for individuals to develop solutions that solve real-world problems and generate revenue.
• 📜 The potential for AI applications in various industries, from Excel automation to image manipulation to document analysis, showcases the versatility and profitability of AI technology.
• 🥺 Leveraging AI tools for automation and monetization can lead to profitable ventures, as demonstrated by the success stories of AI businesses mentioned in the content.

Questions & Answers

Q: How can one-person teams build AI apps making $20,000 or more per month?

The examples show founders using AI to do much of the heavy lifting while their apps solve narrow, practical problems. AI APIs, no-code platforms, and increasingly capable coding models can reduce the amount of manual development required, though founders still need to learn new skills.

Q: Which successful AI businesses are highlighted?

The page highlights Formula Bot, Photo AI, and PDF AAI. They apply AI to Excel formulas, image manipulation, and document analysis, respectively.

Q: What does Formula Bot do?

Formula Bot helps users find or create the right Excel formula for a specific task. It addresses the common difficulty of remembering formula syntax or working out how to perform an operation in Excel.

Q: Can someone build an AI business without knowing how to code?

The transcript suggests coding ability may be less important as AI becomes better at creating software. Ben Tossell is cited as a no-code pioneer who built more than 100 products without code, although the speaker emphasizes that founders will still need to learn new skills.

Q: What is an AI wrapper business?

An AI wrapper uses an existing AI API, such as OpenAI's, inside an app designed to perform a specific task. Much of the underlying functionality comes from the API, while the founder builds a focused product around it.

Q: What is the main risk of building an AI wrapper?

The business can become vulnerable when the underlying AI provider releases the same capability directly. The transcript cites OpenAI's free, open-source Whisper speech-to-text system and its vision capabilities as developments that threatened businesses offering similar functions.

Q: How can an AI wrapper compete with mass-market AI tools?

The speaker recommends targeting a very niche problem and solving it better than available mass-market products. Formula Bot illustrates this approach by concentrating specifically on the difficulty of creating Excel formulas.

Q: How can AI applications generate revenue?

The existing page identifies monthly subscriptions, services for larger firms, and acquisition by technology companies as possible monetization paths. It also describes autonomous AI agents as tools that could generate money, handle customer service, create custom solutions, and help operate a business.

Summary & Key Takeaways

• Goldman Sachs foresees AI transitioning from excitement to deployment in 2024, showcasing real-world examples of autonomous AI agents in business.

• Examples of successful AI businesses like Formula Bot, Photo AI, and PDF AAI highlight the potential for innovation with AI technology.

• Opportunities exist for individuals to develop AI solutions with minimal coding skills, leveraging AI tools for automation and monetization.