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Asha Sharma: Why org charts give way to agent work charts

How products become living, learning organisms with the loop at the center; Sharma on post-training, reward models, and work charts replacing org charts.

Lenny RachitskyhostAsha Sharmaguest
Aug 28, 202557mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
August 28, 2025
Duration
57m
Channel
Lenny's Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what’s working (and what’s not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger. *What you’ll learn:*

  1. Why we’re moving from “product as artifact” to “product as organism” and what this means for builders
  2. Microsoft’s “seasons” planning framework that allows them to adapt quickly in the AI era
  3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle
  4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning
  5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company
  6. The three-phase pattern every successful AI company follows (and why most fail at phase one)
  7. The rise of code-native interfaces and why GUIs might be going the way of the desktop
  8. What Asha learned from Satya Nadella about optimism

*Brought to you by:* Enterpret—Transform customer feedback into product growth: https://enterpret.com/lenny DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny Fin—The #1 AI agent for customer service: https://fin.ai/lenny *Transcript:* ⁠https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma *My biggest takeaways (for paid newsletter subscribers):* ⁠https://www.lennysnewsletter.com/i/171413445/my-biggest-takeaways-from-this-conversation *Where to find Asha Sharma:*

*Where to find Lenny:*

*In this episode, we cover:* (00:00) Introduction to Asha Sharma (04:18) From “product as artifact” to “product as organism” (06:20) The rise of post-training and the future of AI product development (09:10) Successful AI companies: patterns and pitfalls (12:01) The evolution of full-stack builders (14:15) “The loop, not the lane”—the new organizing principle (16:24) The future of user interfaces: from GUI to code-native (19:34) The rise of the agentic society (22:58) The “work chart” vs. the “org chart” (26:24) How Microsoft is using agents (28:23) Planning and strategy in the AI landscape (35:38) The importance of platform fundamentals (39:31) Lessons from industry giants (42:10) What’s driving Asha (44:30) Reinforcement learning (RL) and optimization loops (49:19) Lightning round and final thoughts *Referenced:*

•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad

...References continued at: https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.

SPEAKERS

  • Lenny Rachitsky

    host
  • Asha Sharma

    guest
  • Narrator

    other

EPISODE SUMMARY

In this episode of Lenny's Podcast, featuring Lenny Rachitsky and Asha Sharma, Asha Sharma: Why org charts give way to agent work charts explores aI Agents Reshape Products, Organizations, And The Future Of Work Asha Sharma, CVP of Microsoft AI Platform, describes a shift from static "products as artifacts" to dynamic "products as organisms" that continuously learn and improve through post-training loops and reinforcement learning. She argues that all software will become model-forward and increasingly agentic, with GUIs giving way to code-native, composable interfaces and multi-model systems. This evolution will transform how companies build, plan, and organize—pushing organizations toward full-stack, polymath builders and flatter, task-centric “work charts” powered by agents. Sharma also shares how she plans in a volatile AI landscape, the rising strategic importance of post-training, and leadership lessons from Satya Nadella and her own cross-industry experience.

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