Why Do Most AI Projects Fall Flat? This Explains It.

It’s easy to get excited about AI – until your project doesn’t work out. Turns out, most don’t.

In this honest and super helpful piece, you will learn why 80% of AI projects fail and what to actually do about it. Spoiler: it’s not just about better models or fancier tech.

You’ll learn how successful AI projects are built on four key pillars – data science, user experience, feasibility, and product management. And why skipping even one of them can tank your efforts.

More importantly, this piece reminds us that good AI isn’t just about algorithms. It’s about solving real problems for real users. It’s about clarity, collaboration, and constant learning.

If you’re working on AI products (or plan to), this is one of those reads that just makes everything click.

A must-read if you’re tired of AI hype and ready to make your next project actually land.