Why AI Fails Like IAM
- Madhukeshwar Bhat
- Jan 31
- 1 min read
There’s a strong sense of urgency around AI adoption in enterprises — but we’ve been here before. Identity and Access Management promised security and control, yet struggled at scale not because of technology limitations, but because adoption, ownership, and operating models were underestimated. AI is walking into the same enterprise realities.
In this short talk, I explore why AI success will depend less on models and more on leadership decisions — clarity of ownership, decision rights, and how risk is designed into platforms. Enterprises that learn from the IAM journey have a real opportunity to avoid repeating history.
Please refer to YouTube version of the talk here: https://youtu.be/DGI9PrtuWO4
I read the post and it talked about some of the limits of artificial intelligence and why tools meant to help can sometimes fail or give weird answers when they do not really understand context or details. I once got stuck on a big project and even needed sophia homework and assignments support because I could not make sense of parts on my own. That made me realize that learning takes patience and real thinking, not just quick fixes.