E406: Why AI Won't Transform Most Enterprises for 10 Years
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What is the main topic discussed in this episode?
Everyone in Silicon Valley talks as if AI is about to transform every company. Today's guest thinks that's wrong. Shushant Raman is the founder and CEO of Palit, an AI company backed by General Catalyst, Bain Capital Ventures, and Bessemer that helps Fortune 500 companies deploy AI into real business operations. After working with some of the world's largest enterprises, Shushant believes AI won't transform most companies for another five to 10 years. Not because the technology isn't improving, but because most organizations aren't built to take advantage of it. Without further ado, here's my conversation with Shushant. Silicon Valley talks as if AI is going to transform every company overnight. You think Fortune 500 companies are five to 10 years away.
Why?
Silicon Valley has this conception that just because the technology is here, it's really easy to get distributed everywhere in the world. But if you look at these Fortune 500 companies, there's a lot that they need to kind of get right from, first of all, these companies have a lot of organizational change that they need to drive, right? Like it's not like as soon as the C-suite decides that we should do this, it's going to get done. You need to kind of figure out How do they reorg their company? How do they change these roles? How do they kind of scope that out? Secondly, their technology stack is often not ready. They have like a lot of on-prem systems, lots of integrations that are hard to deal with, legacy tech stacks.
And then thirdly, There's a lot of like tribal knowledge, poorly documented institutional knowledge. It's like not well captured. So even if you deploy the technology properly, you're gonna find that it's gonna be limited in the kind of context it has to kind of go and succeed. AI needs context. It needs to be able to operate with the same context that the people doing the work today have. So when you think about all these things from tribal knowledge encoding, process change management, getting your data infrastructure ready, It's clear that this is not going to happen overnight. And those changes, especially for organizations that have hundreds of thousands of people, like if you take a look at a Walmart or you take a look at a Best Buy or you take a look at a Starbucks, these are not easy changes to go and drive overnight.
And I think that that's what Silicon Valley underestimates is like how to navigate all of that enterprise change management is even if the technology was, let's say, five times better, you still have a pace of change management and adoption that's going to cause us to kind of slowly dribble out slowly kind of happen over time and a good example of this is we think that most software today is already in the cloud like all the cloud technology came well over a decade like it's almost been close to two decades since the stuff came over two decades Yet we still have on-prem systems running all throughout the enterprise. Like one of the largest trucking companies we know still runs on a legacy IBM AS400 mainframe system for most of their operations.
So we're talking about a change that hasn't happened from going from on-prem to the cloud.
Why does Sushanth believe AI won't transform most Fortune 500s for 5–10 years?
And yet we here we are talking about how AI is going to go overnight. That's not going to happen.
You work with some of the top Fortune 500 companies in the world. Some of them are really able to implement AI. Some of them are not. What's the biggest change between those that are able to implement AI versus those that are not?
Look, all of these companies have different circumstances where they might have legacy tech stacks. They might be all over the place, but I think the number one determinant is when leadership is really bought in top down on like, we're going to personally go and drive this change. Like the CEO, CTO are all the COO and like various business unit leaders are committed to driving this change and they're involved in the details. And the second thing is that they've really kind of gotten the right sort of leaders to kind of propel the change and giving them a mandate that like we have a VP whose sole job is to kind of go and navigate this.
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Chapters
7 chapters
1
What is the main topic discussed in this episode?
0:00–2:56
2
Why does Sushanth believe AI won't transform most Fortune 500s for 5–10 years?
2:56–5:43
3
What organizational barriers prevent enterprise AI adoption (tech stack, tribal knowledge, change management)?
5:43–17:10
4
How does C‑suite buy‑in and leadership structure determine AI rollout success?
17:10–32:17
5
Why do employees and managers resist AI-driven process change?
32:17–42:53
6
Which market signals could accelerate enterprise AI adoption faster than a decade?
42:53–56:19
7
Which industries are adopting AI fastest and why is logistics harder to automate?
56:19–1:00:56
Speakers
2 identifiedMore from How I Invest with David Weisburd
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