3 Reasons Why Not to Use AI in Your Product
Last Updated on September 29, 2025 by Editorial Team
Author(s): Sai Viswanth
Originally published on Towards AI.
AI is just a hype; sometimes it can backfire, or not necessary at all to begin with.
Have you come across an AI-powered ToothBrush?
The article discusses the misconceptions surrounding the use of AI in products, emphasizing that not every problem requires a complex machine learning solution. The author shares personal experiences and examples to illustrate how simple, rule-based systems can often suffice. It also highlights the financial implications of adopting AI technology and stresses the importance of asking whether a product truly benefits from machine learning before deciding to implement it. Ultimately, it encourages critical thinking when considering AI for product development.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!
Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.
Related posts
Popular posts
Updates
Recent Posts
