Nayak: Early dictatorial mandates caused internal organizational thrash at Harvey
Aatish Nayak · 20Product: How Scale AI and Harvey Build Product | Why PMs Are Wrong: They are not the CEOs of the Product | How to do Pre and Post Mortems Effectively and How to Nail PRDs | The Future of Product Management in a World of AI with Aatish Nayak · Apr 11, 2025 · at 23:59
Aatish Nayak, Head of Product at Harvey, reflects on early execution mistakes when leadership made top-down demands without sharing underlying context.
0:00 / 0:23exact quote · 23.5s
720p mp4 · rendered on demand · StarZero watermark
“So I think particularly early on at Harvey, we did the dictatorship. Me and Winston are just like, we're going to do X, Y, and Z and Go, go, go. I think again, as you hyper grow, you assume everyone has the same context that you do. And that's just not the case. Like they're not in all the conversations. They're not in all investor meetings. They don't see what the models are going to do, you know, six months down the road. And so that caused thrash”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Aatish Nayak
Nayak: AI Product Teams Should Over-Fit to Frontier Customers
“Find the customers who are really good at what they do, and then, you know, chase them, even over a fit to them as long as you have conviction that, you know, everyone else will follow.”
Nayak: Foundational AI models are not products in themselves
“I don't think the foundational models are products. You're seeing this with OpenAI right now. They're more pivoting to a product company, and Satya even said this.”
Nayak: Text-Based AI Chat Is Merely the MS-DOS Command-Line Phase
“Definitely not. It's the command line starting point of this new frontier, like the MS-DOS was, you know, way back when.”
Nayak: Cloud Providers Will Drive AI Inference Margins Down to Zero
“The cloud companies, they're going to run the best software. They're going to, you know, drive margins to the ground. And so competing on inference with cloud companies is really hard over time. And so if all your revenue comes from inference and, you know, de…”
Nayak: Consumers Trust Humans Using AI, Not Standalone AI Agents
“Ultimately, I think the humans don't just always trust AI. They trust other humans using AI. I think, again, depending on the domain, the right thing is more likely that the agent partners with the producer of the work to deliver for the consumer.”