Lenny Distilled

How 80,000 companies build with AI: Products as organisms and the death of org charts

August 28, 2025

Featuring: Asha Sharma (Chief Vice President of Product, Microsoft AI Platform)

7 quotes · 6 insights

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AI demands empirical learning over analytical planning

We think about it as what season are we in? Season one might've been prototyping of AI and then it was all around models and reasoning models, and now it's the advent of agents. That can last a year, that can last six months, that can last three months.
Asha SharmaChief Vice President of Product, Microsoft AI Platform 00:50

AI will flatten organizations and blur roles

I really believe in the concept of the full stack builder. You're seeing it with a bunch of the AI native companies that are coming up. I'm even seeing it in enterprises that have been around for 50 years starting to operate in that way. And I think that gives you velocity and throughput.
Asha SharmaChief Vice President of Product, Microsoft AI Platform 13:15
We're approaching this world in which the marginal cost of the good output is approaching zero. We're going to see exponential demand for productivity and outputs. The way that you scale to that is with agents. When all of that happens, the org chart starts to become the work chart. You just don't need as many layers.
Asha SharmaChief Vice President of Product, Microsoft AI Platform 00:04

Growth requires constant reinvention every 18 months

I think there's a pattern that's starting to emerge for successful companies. One is they are embracing AI and everybody becomes AI fluent. Number two, they start to say, 'Okay, how can I take a process that already exists and apply AI to making it better?' The third thing then is like, 'Okay, great. Now that you've seen impact, everybody is using it, how do you actually use it to inflect growth?'
Asha SharmaChief Vice President of Product, Microsoft AI Platform 09:35

Products are becoming living systems, not static artifacts

In AI product development, a "rewards model" is a system that evaluates and scores product outcomes, and "digesting" it means processing and acting on its feedback.

All of a sudden products aren't just like these static artifacts that we start to ship that's not just like, 'Hey, come up with an idea or an insight. Go solve a problem, ship it into the world, maybe make it a little bit better and then have a dashboard.' All of a sudden, the whole KPI is what is the metabolism of a product team to be able to ingest data and then digest the rewards model and then create some sort of outcome?
Asha SharmaChief Vice President of Product, Microsoft AI Platform 05:26

Custom models create the real product magic

Because these models are so effective at this point, you want to start to tune them to certain types of outcomes. All of a sudden, these are these living organisms that just get better with the more interactions that happen. I think this is the new IP of every single company products that think and live and learn.
Asha SharmaChief Vice President of Product, Microsoft AI Platform 00:29

Leaders inject energy or watch entropy win

I've learned that optimism is a renewable resource. His ability to generate energy and to use his optimism to renew everybody's dedication to the mission is unbelievable and I think it's such an important part of the culture.
Asha SharmaChief Vice President of Product, Microsoft AI Platform 39:52

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