In a recent LinkedIn post, Sachin Rekhi discusses the evolving role of Product Managers (PMs) in the age of artificial intelligence, asserting that AI has the potential to alleviate bottlenecks in product development, particularly within the discovery phase. Rekhi references Andrew Ng’s observation that PMs are increasingly becoming a bottleneck, a situation exacerbated by AI’s rapid acceleration of delivery processes while leaving discovery largely untouched.
AI’s Dual Impact: Delivery vs. Discovery
Sachin Rekhi points out that while AI tools are effectively speeding up the delivery of products, their impact on the crucial discovery phase – understanding customer needs and validating ideas – has been less pronounced. This disparity, according to Rekhi, presents a significant challenge for product teams aiming for efficient and customer-centric development.
“AI has accelerated delivery, but discovery? Not so much.”
Rekhi, however, frames this challenge as an opportunity. He argues that the very AI technologies that are streamlining delivery can be repurposed and enhanced to transform customer understanding and the entire discovery process.
Rekhi’s Ten AI-Powered Discovery Workflows
To illustrate this transformative potential, Sachin Rekhi outlines ten specific AI workflows he has integrated into his own product discovery process. These workflows span various stages of discovery, from initial data gathering to feedback synthesis and analysis.
Key AI Applications in Discovery:
- Analyzing and automating customer surveys.
- Automating feedback collection and creating ‘feedback rivers’.
- Developing user interview scripts and synthesizing interview feedback.
- Conducting AI-moderated interviews and generating synthetic user feedback.
- Facilitating discovery through prototypes and analyzing key metrics.
- Automating the analysis of product metrics.
As Rekhi notes, these applications demonstrate a proactive approach to leveraging AI beyond just development speed, focusing instead on deepening customer insights and validating product direction.
“The good news is the same AI tools speeding up our delivery can transform how we understand customers.”
Bridging the Gap with AI
Rekhi’s insights suggest a paradigm shift where AI is not just a tool for faster execution but a fundamental enabler of more informed and efficient product discovery. By automating and enhancing tasks such as survey analysis, interview synthesis, and metric evaluation, AI can empower PMs to dedicate more time to strategic thinking and genuine customer empathy.
“I’ve now built ten AI workflows into my discovery process…”
The post concludes with an invitation to a live demonstration with Dan Olsen on March 5th in Mountain View, where Rekhi plans to showcase these ten AI workflows. This highlights Rekhi’s commitment to sharing practical, actionable strategies for integrating AI into the core functions of product management.
In essence, Sachin Rekhi’s LinkedIn post serves as a compelling argument for embracing AI not merely as a driver of efficiency in product delivery, but as a critical catalyst for revolutionizing the often-challenging domain of product discovery, ultimately leading to more successful and customer-aligned products.
📝 About This Content
This article is based on insights shared by Sachin Rekhi on LinkedIn.
📅 Originally posted on February 18, 2026 | View original post on LinkedIn →