Explore what lies beyond your B-School journey. Hear from industry experts, alumni, and recruiters a...
12 hours ago
Body
We’ve all heard the constant chatter about AI, but are we witnessing the bubble burst, or just hitting the "AI bottom"—the point where hard reality finally outweighs the marketing hype?
I recently attended a session by Kokil Jain (IIFT), and her perspective really hit home: AI will certainly disrupt roles, but it won’t replace human intelligence. She highlighted a crucial distinction: building AI models is fundamentally different from running them successfully in a business environment.
With headlines like "Is MBA DEAD in 2026?" floating around, I think the landscape is shifting from blind experimentation to a demand for tangible, profit-driven results.
I’m curious to get your take: In your internships or current observations, are you seeing companies pivot from "AI hype" to demanding hard, profit-driven outcomes for every dollar spent?
4 Replies
-
Is it really the 'bottom,' or just a correction? Companies were desperate to show they were 'AI-first' to satisfy shareholders, and now they're realizing they don't actually have the infrastructure to make it profitable. It’s a classic tech cycle
-
This is exactly why the 'MBA is dead' headlines are wrong. AI models are easy to deploy, but managing the integration into a complex business process is a skill that human managers are going to be valued for more than ever
-
Many experts suggest we are moving through the "trough of disillusionment" in the Gartner Hype Cycle. This isn't necessarily the end of AI, but the end of "easy" investment where projects must now prove their worth to survive.
-
The 'tokenmaxxing' issue at Uber is a wake-up call. We’re finally moving into the 'boring' phase of AI where companies stop looking for magic and start looking at unit economics. It’s actually a good time to be an MBA who understands both tech and P&L
