7 Simple Methods To Make Money With AI (How-To And Step-By-Step)
- Crissabelle Freeman
- Feb 9, 2024
- 2 min read

Using AI to make money involves leveraging artificial intelligence tools and technologies to create or enhance products, services, or content that can earn revenue with minimal ongoing effort. Here are seven ways to achieve this:
Content Creation: Use AI to generate written content, such as articles, blog posts, or ebooks, that you can sell or use to attract traffic to monetized websites. AI tools like the GFP SEO toolset can help create diverse content across various niches.
Stock Photography and Art Creation: With the advent of AI image generators, you can create unique digital artworks or photographs that can be sold on stock photo websites, as NFTs, or through print-on-demand services for merchandise like t-shirts and mugs.
Automated YouTube Channels: AI can help script, voice-over, and even edit videos for YouTube. By creating content that's in demand, you can earn through ad revenue, sponsorships, and affiliate marketing with minimal input after the initial setup.
Software as a Service (SaaS): Develop AI-based tools or platforms that cater to specific needs, such as SEO analysis, social media management, or data analysis. Subscription models provide a steady income stream. We used a transformer AI like chat GPT to help develop our business tools.
AI-Powered Educational Products: Create and sell online courses, tutoring services, or educational apps that use AI to personalize learning experiences. These can range from language learning apps to coding tutorials.
Automated Trading: Use AI algorithms for stock or cryptocurrency trading. By developing or investing in sophisticated trading bots, you can potentially earn passive income from the financial markets.
Voiceover and Audiobook Production: Leverage AI for creating voiceovers for videos, audiobooks, or podcasts. AI voice synthesis technology can produce high-quality, natural-sounding voices in multiple languages, opening up various content monetization opportunities.
Each of these methods involves an upfront investment of time, effort, or capital to set up the AI systems and content. However, once in place, they can generate income with varying degrees of passivity. It's also important to stay informed about the ethical considerations and copyright laws relevant to the use of AI in content creation and distribution.
In this article, we provide you with a guide to break into each of the 7 methods. It's a lot simpler than you may think! Investing just a few hours a day into each of these could prove to provide a steady passive cash-flow!
The 7 Simple Methods To Make Money With AI
1. Content Creation
Generating passive income through AI-assisted content creation, especially in the form of e-books and blog posts/articles, is a viable strategy with the potential for substantial earnings. The profitability of this approach can vary widely based on factors such as niche selection, content quality, marketing strategies, and the platforms used for distribution.
Potential Earnings
E-books: The earnings from e-books can vary significantly. Self-published authors on platforms like Amazon Kindle Direct Publishing (KDP) can earn up to 70% in royalties on the list price of their e-book. Pricing strategies, book quality, and marketing efforts play crucial roles in success. Authors in popular niches can earn anywhere from a few hundred to several thousand dollars per month after establishing a portfolio of titles.
Blog Posts/Articles: Bloggers generate income through advertisements (e.g., Google AdSense), affiliate marketing, sponsored posts, and selling digital products or memberships. Successful bloggers can earn from a few hundred to tens of thousands of dollars per month. Your earnings will depend on your blog's traffic, niche, and the effectiveness of your monetization strategies.
Resources for Posting Content or Publishing E-books
Amazon Kindle Direct Publishing (KDP): A popular platform for e-book publishing that offers high royalties and access to a vast audience.
Smashwords: A platform that distributes your e-book to major retailers and offers tools for marketing and sales tracking.
Medium: For articles and blog posts, Medium offers a Partner Program where you can earn money based on how much attention your writing gets.
WordPress: A highly customizable platform for creating and monetizing your own blog or website through ads, affiliate marketing, and product sales.
Substack: Ideal for newsletter articles, allowing you to earn through subscriptions.
Most Efficient Process for Creating E-books and Blog Posts/Articles
E-book Creation:
Research and Planning: Identify a profitable niche with a passionate audience. Use tools like Google Trends and Amazon's Best Sellers lists to gauge interest and competition.
Outline: Create a detailed outline based on your research. Organize chapters or sections to ensure a logical flow of information. The fastest way to get an outline of your writing is to use the GFP Guide Generator or ask ChatGPT to provide you with one.
Write: Use AI writing tools to draft content efficiently. Ensure you add personal insights or unique perspectives to make the content valuable.
Edit and Format: Use editing tools to refine your manuscript. Format your e-book according to the guidelines of the platform you're using (e.g., Amazon KDP).
Cover Design: Design an attractive cover or hire a professional. The cover is crucial for making a good first impression. We recommend Canva for professional looking covers made quickly and easily!
Publish and Market: Upload your e-book, set a price, and start promoting it through social media, your website, email marketing, or Amazon's advertising options.
Blog Posts/Article Creation:
Keyword Research: Use SEO tools to find high-traffic, low-competition keywords. You should use the GFP Keyword Generator Tool to jumpstart your keyword list.

1 Figure Of The GFP Keyword Generator Tool
Outline and Draft: Outline your article around the chosen keyword(s). Use AI to help draft content quickly, then add your unique voice and expertise. Here, as well, you can utilize the Get First Page toolset to help you outline and draft your content.
SEO Optimization: Optimize your article for search engines, including using the keyword in strategic places (title, headers, first paragraph, etc.).
Publish and Promote: Post your article on your blog or chosen platform. Promote your articles through social media, email newsletters, and other channels to drive traffic.
Monetize: Apply for ad networks, incorporate affiliate links where relevant, or sell digital products related to your content.
Success in both endeavors requires consistency, quality content, and an effective marketing strategy to stand out in a crowded market.
2. Stock Photography And Art Creation
Leveraging AI in the creation and sale of stock photography and digital art introduces a revolutionary approach to generating passive income in these fields. AI's capacity to automate, enhance, and personalize aspects of the creative and sales processes can significantly impact potential earnings and operational efficiency.
Potential Earnings with AI Assistance
Stock Photography: AI can streamline the creation of diverse and high-quality images, potentially increasing the volume of content one can produce and sell. While individual earnings per image might remain within the standard range of a few cents to hundreds of dollars, AI's efficiency can lead to a higher volume of sales, boosting overall income.
Digital Art: AI tools can help artists create unique pieces faster, tapping into new styles and trends. By efficiently producing more art, digital artists can potentially increase their earnings from sales, licenses, and commissions across various platforms.
Resources for Posting and Selling Photography or Art
Shutterstock, Adobe Stock, and iStock: Popular microstock sites that offer a large audience but pay lower commissions per download. Ideal for volume sales.
Etsy: A marketplace for unique, often handmade items, including digital art prints. Offers a direct connection with buyers.
Saatchi Art: Focuses on fine art sales, including prints and originals, and offers a higher price point.
Society6 and Redbubble: These platforms allow you to sell your designs on a variety of products, from prints to clothing, with a focus on passive income through royalties.
ArtStation: Geared towards digital artists, offering portfolio hosting and a marketplace for digital assets and prints.
Efficient AI-Assisted Process for Success
Efficient Process for Creating and Selling Stock Photography and Digital Art
Stock Photography:
Research and Planning: Identify in-demand subjects or niches with lower competition. Explore popular stock photography sites to understand trends.
Shooting and Editing: Shoot high-quality photos, focusing on lighting, composition, and uniqueness. Use photo editing software to enhance your images. For AI photo editing, we recommend Pixlr and Canva.
Keywording and Descriptions: Use relevant keywords and detailed descriptions for your images to improve discoverability on stock platforms.
Upload and Set Prices: Upload your photos to chosen platforms. Some sites set prices automatically, while others may allow you to set your own.
Promote: Share your portfolio on social media and photography forums to drive traffic and sales.
Digital Art:
Trend Analysis: Research current trends in digital art to find niches or styles that are popular but not oversaturated.
Create Artwork: Use digital art software to create your pieces. Better yet, have a tool like Midjourney create the artwork for you, or you can use it to provide you with different variations of already created art work. Focus on creating a cohesive body of work that appeals to your target audience.
Prepare Files: Offer different file formats and sizes, especially if selling prints or digital downloads. Ensure high quality and resolution.
Choose Platforms: Select platforms that cater to your style of art and target market. Consider using multiple platforms to reach a wider audience.
Price and Upload: Set competitive prices based on the platform, the type of work, and the target market. Upload your work with effective titles, descriptions, and keywords.
Market Your Work: Utilize social media, art forums, and online communities to showcase your portfolio and direct potential buyers to your sales platforms.
Offer Commissions: To further increase income, consider offering custom commissions, which can also attract more viewers to your existing portfolio.
Integrating AI into the creation and sale of stock photography and digital art not only enhances the efficiency of these processes but also opens new avenues for creativity and market adaptation. By embracing AI, creators can stay ahead in a competitive landscape, maximizing their earnings potential through innovative approaches to content creation and distribution.
3. Automated Youtube Videos
Creating automated YouTube channels using AI technology is an innovative way to generate passive income. The potential earnings from such channels depend on various factors like the channel's niche, audience size, viewer engagement, and monetization strategies.
Potential Earnings
Ad Revenue: Once you're part of the YouTube Partner Program, you can earn money from ads. Earnings vary widely, but on average, YouTubers earn between $3 to $5 per thousand video views through ad revenue.
Affiliate Marketing: You can earn by promoting products in your videos and receiving a commission for each sale through your affiliate links.
Sponsorships: As your channel grows, brands might pay you to mention or review their products. These deals can be significantly lucrative depending on your audience size and engagement.
Selling Digital Products or Merchandise: You can also earn by selling your own products or merchandise related to your channel's content.
Resources for Creating and Monetizing YouTube Content
YouTube Partner Program: Once your channel meets the eligibility requirements (1,000 subscribers and 4,000 watch hours), you can apply to start earning ad revenue.
Affiliate Networks: Join affiliate programs like Amazon Associates, ClickBank, or ShareASale to find products to promote in your niche.
Sponsorship Platforms: Take a look at Sprout Social's top 16 influencer marketing platforms to see which is the best sponsor program for you.
Merchandise Platforms: Teespring, Spreadshirt, or Redbubble can be used to create and sell custom merchandise.
Efficient Process for Creating an Automated YouTube Channel
Niche Selection: Choose a profitable niche with high interest and relatively low competition. Use tools like Google Trends or YouTube's search bar to research popular topics.
Content Planning: Plan a content strategy that includes a mix of trending topics, evergreen content, and material unique to your channel.
Scripting: Use AI tools to help write scripts for your videos. Ensure the content is engaging and tailored to your target audience.
Video Creation: Leverage AI for voiceovers and video editing. There are AI tools that can generate voice narrations and help in editing videos to make the process more efficient. Murf AI and Speechify are two first page tools well-known for this process.
Thumbnail and Title Optimization: Create eye-catching thumbnails and use compelling titles with relevant keywords for better visibility.
Uploading and Scheduling: Consistently upload videos and schedule them during peak times when your audience is most active.
SEO Optimization: Optimize your video descriptions, tags, and keywords to improve your visibility in YouTube search results.
Promote Your Channel: Use social media, blogs, or collaborations with other YouTubers to promote your channel and increase viewership.
Engage with Your Audience: Regularly read and respond to comments to build a community around your channel.
Analyze Performance: Use YouTube Analytics to track the performance of your videos and adapt your content strategy based on what works best.
Remember, while AI can significantly aid in content creation, the success of a YouTube channel also depends on originality, viewer engagement, and consistency in posting content. It's also essential to stay updated with YouTube's policies to ensure your content complies with their guidelines.
4. Software as a Service (SaaS)
Developing a Software as a Service (SaaS) platform, particularly one that incorporates AI, can be a highly profitable venture. However, it's important to understand that the success and potential earnings of a SaaS business can vary significantly based on factors like market demand, the uniqueness of the software, pricing strategy, and the effectiveness of marketing and sales efforts.
Potential Earnings
Subscription Revenue: The primary source of income for a SaaS business is usually monthly or annual subscription fees. Depending on the software's features, target market, and pricing structure, businesses can earn anywhere from a few dollars per user per month to thousands of dollars for enterprise-level solutions.
Freemium Models: Some SaaS businesses offer a basic version of their software for free and charge for advanced features. This model can lead to high user acquisition followed by significant revenue from a smaller percentage of users who upgrade.
Custom Solutions and Consultations: Offering tailored solutions or consultancy services can provide additional revenue streams.
Resources for Creating and Selling SaaS
Cloud Service Providers: Platforms like AWS, Google Cloud, or Microsoft Azure offer robust infrastructure to host your SaaS application.
SaaS Marketplaces: Listing your software on SaaS marketplaces like G2, Capterra, or Zen Desk can increase visibility and credibility.
Product Hunt: Launching your product on Product Hunt can be a great way to gain initial users and feedback.
Social Media and Content Marketing: Platforms like LinkedIn, industry-specific forums, and blogging can be effective for marketing your SaaS.
Efficient Process for Creating a SaaS Business
Market Research and Idea Validation: Conduct thorough market research to identify a need or problem that your AI-based SaaS can solve. Validate your idea through surveys, interviews, or a minimum viable product (MVP).
Design and Development: Design a user-friendly interface and develop your software. For AI-based SaaS, this might involve training machine learning models or integrating AI APIs. You can use a generative AI like Blackbox.io or ChatGPT to help you with the code and setup.
Testing and Feedback: Before full launch, test your software extensively and collect user feedback to make necessary adjustments.
Pricing Strategy: Develop a pricing model that balances attractiveness to users with profitability. Consider different tiers based on features or usage levels.
Launch and Marketing: Launch your product and execute a well-planned marketing strategy. Utilize online marketing, content marketing, and perhaps partnerships with influencers or industry leaders.
Sales and Customer Support: Establish a sales process to convert leads into customers and provide excellent customer support to retain users and reduce churn.
Continuous Improvement: Regularly update your software based on user feedback and evolving market needs.
Scalability: As your user base grows, ensure your infrastructure and support systems are scalable to handle increased demand.
Remember, success in the SaaS field requires not only a strong technical foundation but also effective marketing, sales, and customer relationship management. It's a competitive market, so differentiating your product and continuously adapting to customer needs are key to long-term success.
5. AI - Powered Educational Products
Creating AI-powered educational products offers a unique opportunity to leverage the growing edtech market and the capabilities of AI to provide personalized learning experiences. The potential earnings in this sector can be substantial, depending on the quality, uniqueness, and market demand for your educational product.
Potential Earnings
Online Courses: Creators of online courses can earn from a few hundred to several thousand dollars per month, depending on the course's popularity, pricing, and the platform used. Well-marketed courses with high demand topics can generate significant income.
Tutoring Services: AI-powered tutoring services can offer personalized learning experiences. Earnings depend on the number of users and the subscription model. Rates can vary widely based on the subject, the sophistication of the AI, and the target audience.
Educational Apps: Revenue from educational apps can come from direct sales, in-app purchases, or subscriptions. Popular educational apps can earn thousands to tens of thousands of dollars per month.
Resources for Creating and Selling AI-Powered Educational Products
Udemy, Coursera, and Teachable: Platforms for hosting and selling online courses. They offer tools for course creation and have large user bases.
App Stores (Google Play Store and Apple App Store): Essential for distributing educational apps. They offer a wide reach but take a percentage of the earnings.
Online Tutoring Platforms: Websites like Chegg or Tutor.com could be avenues for offering AI-powered tutoring services.
Kickstarter or Indiegogo: For initial funding, especially for app development, crowdfunding platforms can be valuable.
Efficient Process for Creating AI-Powered Educational Products
Identify Educational Needs: Research the market to identify gaps or areas where AI can significantly enhance the learning experience.
Develop a Unique Proposition: Your product should offer something unique, whether it's in the AI's capabilities, the way material is taught, or the subjects covered.
Design and Development: For courses, focus on high-quality content and how AI can personalize learning. For apps, ensure intuitive UI/UX and robust AI functionality. To help with the design process, a generative AI like ChatGPT or Gemini could outline lesson plans and course content. Additionally, one could use the GFP Guide Generator to kickstart the process.
Testing and Feedback: Before launch, test your product with real users. Gather feedback to improve the product.
Pricing Strategy: Set competitive pricing. Consider different models like one-time purchases, subscriptions, or freemium models with in-app purchases.
Launch and Marketing: Use digital marketing, social media, and partnerships with educational institutions or influencers to promote your product.
Ongoing Support and Updates: Continuously update your product based on user feedback and advancements in AI technology.
Scale Up: As your product gains traction, consider scaling up your operations, expanding your product range, or targeting new markets.
Developing AI-powered educational products requires a blend of educational expertise, technological skills, and a keen understanding of your target market. Continuous innovation and adaptation to the latest educational needs and AI advancements are key to long-term success in this field.
6. Automated Trading
Automated trading, particularly using AI algorithms for stock or cryptocurrency trading, can be a highly effective way to generate passive income. However, it's crucial to understand that the potential earnings can be quite variable, depending on market conditions, the effectiveness of the trading algorithms, and risk management strategies.
Potential Earnings
Stock Trading Bots: The earnings from automated stock trading bots can vary widely. Some traders report modest consistent gains, while others may achieve larger profits, especially in volatile markets. It’s important to note that there are also risks of losses, particularly in unpredictable market conditions.
Cryptocurrency Trading Bots: Given the high volatility in the cryptocurrency markets, the potential for both gains and losses is significant. Successful bots can yield high returns, but the risks are correspondingly higher.
Resources for Automated Trading
Trading Platforms: Many online trading platforms like MetaTrader 4/5, Interactive Brokers, or Coinbase Pro offer APIs that allow you to implement automated trading strategies.
Bot Development Tools: Programming languages like Python, along with libraries like Pandas and NumPy, are commonly used for developing trading bots. Frameworks such as Backtrader or PyAlgoTrade can be used for backtesting strategies.
Cloud Computing Services: Platforms like AWS or Google Cloud can host your trading bots, ensuring they run 24/7.
Cryptocurrency Exchanges: For crypto trading bots, exchanges like Binance, Kraken, or Bitfinex provide APIs for automated trading.
Efficient Process for Creating Automated Trading Systems
Market Research and Strategy Development: Understand the market you wish to trade in and develop a trading strategy based on historical data analysis.
Learn Programming and Data Analysis: Knowledge of programming (Python is commonly used) and data analysis is crucial for developing trading algorithms. Use AI like Chat GPT or Google Gemini to learn programming
Backtesting: Use historical data to test your trading strategies. This step is crucial to evaluate the effectiveness of your algorithms without risking real money.
Risk Management: Implement robust risk management rules to protect your investment. This includes setting stop-loss orders, only risking a small percentage of your portfolio on each trade, and diversification.
Algorithm Implementation: Once you have a tested and refined strategy, implement it in a trading bot. Ensure your code is efficient and error-free. With here as well, you can use generative AI like chat GPT or Gemini to help ensure the code is ready to go.
Paper Trading: Before going live, run your algorithm in a simulated environment with real-time data to ensure it performs as expected.
Go Live: Start trading with real money, but begin with a small amount to test the waters. Gradually increase your investment as you gain confidence in your system.
Continuous Monitoring and Adjustment: Regularly monitor your trading bot’s performance and make adjustments as needed. Market conditions change, so your strategy should evolve accordingly.
Compliance and Legal Considerations: Ensure you are compliant with all regulatory requirements, particularly if you're trading with significant sums or planning to offer your bot to other traders.
Automated trading can be profitable but comes with its own set of risks and complexities. It requires a good understanding of both financial markets and technology. Success in automated trading is not guaranteed, and there's always the potential for financial loss, so it should be approached with caution and thorough preparation.
7. Voiceover and Audiobook Production
Voiceover and audiobook production, particularly with the use of AI voice synthesis technology, offers a unique and potentially lucrative avenue for generating income. The earnings can vary based on the scope of the project, the quality of production, and the distribution platform.
Potential Earnings
Voiceover Work: Earnings for voiceover projects can range widely. For AI-generated voiceovers, the profits might be lower per project compared to human voice actors, but the volume of work can be significantly higher due to the efficiency of AI.
Audiobook Production: The audiobook market is growing, and earnings depend on the book's sales. Royalties can vary, but a common model is a 40% royalty on retail sales if you're self-publishing. If you use a service like ACX (Audiobook Creation Exchange), rates can be set as a flat fee or as a share of future royalties.
Resources for Voiceover and Audiobook Production
ACX (Audiobook Creation Exchange): A platform for audiobook production that connects authors, narrators, and producers, and distributes through Amazon, Audible, and iTunes.
Voices.com or Voice123: Online marketplaces for voiceover work where you can upload AI-generated voice samples and apply for jobs.
Fiverr and Upwork: Freelance platforms where you can offer voiceover services, including AI-generated voiceovers.
LibriVox: For those just starting out, volunteering to read for public domain projects can be a good way to build a portfolio.
Efficient Process for Creating Voiceovers and Audiobooks
Voiceover Production:
Select a Niche: Identify your target market – commercials, e-learning, audiobooks, etc.
Create High-Quality Samples: Use AI voice synthesis to create samples in various styles and languages. Ensure the voice sounds natural and fits the intended use.
Build a Portfolio: Create a portfolio showcasing a range of your AI voiceover capabilities. Include different tones, speeds, and emotional inflections.
Market Your Services: Use platforms like Voices.com, Voice123, and Upwork to offer your services. Networking on social media and voiceover forums can also be beneficial.
Deliver Quality Work: When you get projects, ensure timely and high-quality deliveries. Good reviews will lead to more work.
Audiobook Production:
Select a Book: Choose a book you have rights to or use public domain books if starting out. Consider the book's potential popularity and your target audience.
Narration with AI: Use AI voice synthesis tools to narrate the book. Pay attention to pronunciation, tone, and pacing to ensure a pleasant listening experience.
Editing and Production: Edit the audio to remove any errors, add appropriate pauses, and ensure consistent volume levels.
Publishing: Use platforms like ACX to publish your audiobook. They will distribute it to major retailers like Audible and iTunes.
Promotion: Market your audiobook through social media, your personal website, and other channels. Collaborating with the author or leveraging book promotion sites can also be effective.
Monetize: Choose a monetization model – upfront payment for your production work or a royalty-sharing model with the author or rights holder.
While AI voice synthesis technology offers a cost-effective and efficient way to produce voiceovers and audiobooks, it's important to focus on quality to stand out in a competitive market. Developing a strong portfolio, building a network, and consistently delivering high-quality work are key to success in this field.
Thanks for reading!
~ Crissabelle
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