# Aakash Gupta: The Skill Every Product Manager MUST Learn in 2026 | Product in Practice Source: https://www.youtube.com/watch?v=whYs9JpLx8I Recap page: https://rapidrecap.app/video/whYs9JpLx8I Generated: 2025-12-12T23:06:58.873+00:00 --- ## Quick Overview The essential skill product managers must learn for 2026 involves mastering AI prototyping, which Akash Gupta identifies as the biggest change to the job in years, requiring PMs to deliver prototypes alongside PRDs and leverage tools like Bolt, Lovable, or Vzero to drastically reduce the time from ideation to testing from weeks to minutes. **Key Points:** - Product managers must spend at least an hour a week trying out a new AI tool to raise their AI fluency. - Akash Gupta outlines a six or seven-step playbook for getting into building with AI, starting with knowing personal deficiencies and moving through conceptual learning, prototyping, workflow building, coding, and finally applying it at work. - To increase organizational AI fluency, leaders must openly use new tools, implement workflows like AI drafting emails or competitor analysis, ensure enterprise licenses are funded, and establish governance. - AI prototyping is highlighted as the most significant change to product management, demanding PMs deliver prototypes alongside PRDs and strategy documents to show vision. - When AI prototyping, discovery remains very important to avoid entering the "golden age of the feature factory" where delivery cost approaches zero. - In the product development lifecycle, AI can assist from discovery (monitoring social media, analyzing tickets) through solution exploration (prototyping) to post-launch analysis. - Jira's product managers excel because they maintain expert knowledge of users through practices like a PM rotation responsible for monitoring customer communication channels, which many companies lose. **Context:** The interview features product leader and creator of the Product Growth newsletter, Akash Gupta, speaking with the host of "Product in Practice." The discussion centers on the critical importance of Artificial Intelligence (AI) fluency for product managers and builders in the current tech landscape, particularly focusing on practical steps for individuals to adopt AI tools and for organizations to upskill their teams. Akash Gupta shares his background leading teams at companies like ThreadUp, Epic Games, Affirm, and Apollo.io, and details his current focus on content creation via his newsletter and podcast. ## Detailed Analysis Akash Gupta asserts that the most crucial skill for product managers today is mastering AI prototyping, calling it the biggest change to the job in years, where PMs must deliver AI prototypes alongside strategy documents and PRDs. He advises PMs to dedicate at least one hour weekly to experimenting with new AI tools. For individuals looking to build with AI, Gupta details a progression: identify knowledge gaps (e.g., understanding transformers or RAG), consume content from top experts on social media, start prototyping using accessible tools like Lovable, Bolt, or Vzero for internal use cases, then move to chaining workflows using tools like Make.com or n8n, before finally integrating code using IDEs like Cursor. For organizations aiming to raise AI fluency, leaders must model behavior by using tools themselves, implementing agentic workflows for tasks like email drafting or competitor analysis, funding necessary licenses, and establishing security governance. Gupta praises Jira's practice of ensuring PMs remain close to the customer via rotations, contrasting this with environments where PMs lose customer expertise due to overregulation. The demonstration segment focused on AI prototyping for a Whoop feature concerning sleep score confusion, showing how Claude could generate prompts for tools like Bolt, Lovable, and Vzero, emphasizing that comparing outputs across parallel tools is useful, and that the goal is drastically reducing testing time from weeks to minutes. ### AI Adoption Playbook for PMs - Know your deficiencies - Consume expert content from social media - Start prototyping with tools like Vzero or Bolt - Build full workflows with n8n or Make.com - Move to coding with Cursor/Windsurf - Apply to real features at work ### Raising Organizational AI Fluency - Leaders must openly try new tools - Implement agentic workflows for emails and competitor analysis - Ensure enterprise licenses and funding for flow builders/APIs - Establish governance for security and spending ### AI in the Product Development Lifecycle - Use AI in discovery to monitor social media and analyze tickets - Improve interview guides and synthesize notes with AI - Leverage AI for PRD writing and impact sizing - Utilize RAG and evals when pushing AI features to production ### AI Prototyping Workflow - AI prototyping is the most significant change - Compare outputs across parallel tools (Bolt, Lovable, Vzero) to see results faster - Use discovery insights to create high-quality prompts in tools like Claude - Download code from prototypes to iterate further in an IDE like Cursor ### Best Practices at Jira - Product Managers maintain expert status by being the experts in users - PMs utilize rituals like rotations to monitor customer communication channels deeply - A strong culture of discovery prevents building features based solely on executive conviction