Asha Sharma
CEO, Microsoft Gaming. On 1 show, 1 appearance. The Shows tab opens the full record on each.
executiveoperator@Asha_Sharma ↗LinkedIn ↗Wikipedia ↗
Asha Sharma leads Microsoft Gaming (Xbox) and previously served as Corporate Vice President of Microsoft's AI Platform. Prior to Microsoft, she served as Chief Operating Officer of Instacart and VP of Product and Engineering at Meta, and sits on the boards of The Home Depot and Coupang.
1shows
1appearances
18statements
4resolved
1supported
1contradicted
25%fully supported
2said about them ↓ Everything Asha Sharma said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Sharma: Continuous reward-model tuning is every AI company's true IP
“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? Because these models are so effective at this point, you want to start to tune them to certain types of …”
Sharma: The Future of Software Products Is Composability, Not UI Canvas
“The future of products being about composability and not the canvas. And I think that product makers really need to rewire their mindset around this because I think we spend an inordinate amount of time thinking about the UI of something rather than how someth…”
Sharma: AI agents will flatten traditional corporate org charts into work charts
“And so I think that when all of that happens, the work chart the org chart starts to become the work chart. I think that tasks and throughput become more important than they have been before. I also think that you just don't need as many layers. Like I think t…”
Sharma: Industry spending on AI post-training will eventually surpass pre-training
“Like, I believe we will see, you know, just as much money spent on post-training as we will on pre-training, and in the future, more on post-training.”
Sharma: 600,000 expert annotations boosted Microsoft Dragon AI acceptance to 83%
“We've got an AI product called Dragon that's for physicians. And we saw a massive difference from when we used, you know, synthetic fine tuning to when we annotated 600,000 patient physician interactions by experts and actually fed that into the model and cont…”
Sharma: Near-zero cost of good AI output will trigger exponential demand
“I think that we're approaching this world in which the marginal cost of a good output is approaching zero. And I think when that happens, we're going to see exponential demand for productivity and outputs.”
Sharma: Traditional strategy docs will fade into interactive applications and artifacts
“I think docs themselves, like for every idea, for every, you know, need will just start to kind of fade into, you know, applications and different artifacts. In the productivity suite, which you know, is just a different way of working.”
Sharma: Manus achieved breakthrough in tool-calling loops for long-running tasks
“I think that Manus's breakthrough in the space was that they could like do these tool calling loops and have agents kind of do longer running tasks that really no other platform was able to do.”
Sharma: WhatsApp won on reliability and phone book integration, not features
“WhatsApp didn't win because it had Stickers or stories or dark mode. In fact, I don't even think it had all of those things when it won. It won on a few premises because one was the phone book. Like you knew that when you use WhatsApp, you could reach every si…”
Sharma: Enterprise AI platform success depends on data residency and reliability
“It's not all the features for the platform that matters. It's the data residency. So the hospital in Germany that's fine tuning a model can do so in confidence and the data isn't going to leave the region. It's the availability. It's the reliability. It's, you…”
Sharma: Reinforcement learning will become a critical product technique
“With the advent of agents and products that think and can act and reason, there's going to be this kind of new wave around RL, and I have a deep belief that that, that will become one of the most important product techniques, kind of the next season, or at lea…”
Sharma: Software products will all become model-forward products
“Look, like, I think that software as a primitive is changing, and kind of the artifact inside of it is, is a model alongside the software components itself. And so in many ways, I think that, You know, software products will all be model-forward products, if y…”
Sharma: Future software UIs will dynamically adapt on the fly per user
“I 100% believe that's where the world is going, and that my experience should look and feel different than yours. I mean, that's kind of been the advent of personalization, but now you can do it on the fly in the future, so.”
Sharma: Developers launched approximately 70,000 enterprise AI tools last year
“There's something like 70,000 enterprise tools like in the AI space launched last year.”
Sharma: Enterprises must build for technological slope rather than current snapshots
“You really need to bet on a platform or some sort of app server type layer that allows you to swap things in and out and not really be beholden to anything, any one technology or any one tool, because the reality is, is the whole thing is going to change. Feel…”
Sharma: Microsoft Azure customers have already deployed millions of AI agents
“15,000 customers who have produced agents. I think the number of agents is actually, like, millions.”
Sharma: Surveys show 50% of developers are fine-tuning AI models
“50% of developers according to surveys are now fine tuning.”
The other half of the tape: Asha Sharma's own voice is left out of every number here. Other people bring the name up 2 times in 1 episode across the shows. every mention, with the transcript →
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2025 2 mentions in 1 episode
One line per show, most statements first. The link opens Asha's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| LENNY'S PODCASTLEDGER | CEO, Microsoft Gaming | 1 | 18 | 25% 1/4 | full record on Lenny's Podcast → |