GPTOnline editorial cover illustrating AI-assisted business ideas, work, costs and risks; it is not evidence of earnings or a promise of passive income.
Artificial intelligence, which used to be a subject of science fiction, is now a major force in our world and has many practical applications, such as driverless cars and ChatGPT. One of the most fascinating things about AI is its potential to improve our capabilities and support business tasks. This June 2023 article explores five AI-assisted business ideas. They are not guaranteed or fully passive income streams: finding customers, reviewing outputs, maintaining products and covering costs still require work.
5 AI-Assisted Business Ideas: Work, Costs and Risks
Monetize Your Blog with AI-Generated Content
AI-powered tools like ChatGPT can assist with blogging. Though creating content still requires active involvement, these tools can greatly streamline the process by providing an extra set of hands to help produce engaging and well-organized blog posts. With tools like ChatGPT offering assistance in generating readable content, bloggers can complement their own work to create a more effective end product. Affiliate links, advertisements and product sales are possible revenue models, not a promise of consistent earnings. A blog still needs useful original contributions, fact-checking, an audience and ongoing maintenance. Google’s guidance on generative AI content emphasizes accuracy, quality and relevance rather than publishing large volumes without value.
Boost Business Efficiency with AI Analytics
Entrepreneurs can use AI analytics to investigate efficiency and customer patterns; cost savings are not themselves a separate passive income stream. Start with information needed for a defined business purpose, rather than collecting as much customer data as possible. With valuable insights into customer patterns, preferences, and behaviors, AI algorithms can estimate possible future actions, but predictions can be wrong. Organize relevant data securely and compare predictions with actual results before changing your offerings or spending more. The FTC’s business data-security guidance advises keeping only information needed for a legitimate business purpose.
AI-Assisted Advertising: Costs and Returns
AI can help draft advertising and analyze campaign results, but paying to acquire customers is not the same as earning advertising revenue as a publisher. AI tools can produce draft ad copy and use data analysis to target specific customer segments. With AI-powered advertising optimization, you can craft captivating ad content, place ads based on browsing behavior, and test which messages lead to purchases. Advertising can lose money when acquisition costs exceed the value of sales.
Review claims in generated ads, set a small test budget and compare actual revenue with advertising and software costs before scaling.
Data Licensing and Sharing: Permissions Come First
Some programs compensate people for voluntarily sharing their own data or insights, and businesses may license datasets they have the right to provide. Neither is automatically safe or profitable. Review what is collected, who can use it, how long it is retained and whether it can be shared again. Possessing customer information does not by itself give you permission to sell it; check applicable privacy requirements, contracts and any required consent. Avoid sharing sensitive information merely for a promised payout.
App Development: Revenue Models and Ongoing Work
If you have technical skills, you can create an app that uses AI and explore a potential revenue model. Your app can earn money in various ways such as selling it initially on well-known app stores like Google Play or the App Store, allowing in-app purchases, displaying ads, or offering subscription-based models. Working together with a skilled team that includes a product manager, marketer, quality assurance analyst, developer, and designer can greatly improve the likelihood of creating a successful and profitable app. Allow for ongoing maintenance, customer support, hosting or model API costs, and platform fees. Test whether users will pay enough to cover those costs before investing in a full product.
Conclusion
AI can assist with content, analysis, advertising and app development, but it does not remove business risk or the need for judgment. Choose one small experiment, track time and total costs, and assess demand before expanding. Treat promises of effortless or guaranteed earnings cautiously; the FTC’s August 2023 warning about AI-related business opportunities is a later example of why earnings claims deserve scrutiny, not an event that had occurred when this article was first published in June.
