Not every AI product succeeds — and some of the biggest failures offer the most valuable lessons.

In this episode of Product Bakar, Rishikesh Kankal — seasoned Product Manager — explores why many AI products fail, from chasing hype to poor data and lack of user trust.

You’ll learn:

• Why building AI without a real problem leads to failure

• How bad data can break even the best models

• Why user trust is critical for adoption

• What PMs can do to avoid common AI pitfalls

If you’re building AI-powered products, this episode will help you make smarter, more responsible product decisions.

📩 Looking for a Product Manager to build your digital product?

Get in touch: [email protected]