High Signal Podcasts Evidence ledger
Method
Browse
How the evidence works
← All source episodes

Dwarkesh Podcast / episode intelligence

Satya Nadella — How Microsoft is preparing for AGI

12 Nov 2025 16 published claims 3 attributable people
Open original episode ↗ Read the evidence

Speakers in the public record

Dylan PatelSatya NadellaDwarkesh Patel

Claim mix

prediction 6belief 4commitment 4evaluation 2

Evidence policy

Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

Claim ledger

The useful parts, with receipts.

16 published records

01 / evaluation

There’s a lot of R&D, there’s a lot of customer acquisition costs. This is sort of why, not Microsoft, but the SaaS companies have underperformed massively in the markets, because the COGS of AI is just so high, and that just completely breaks how these business models work.

“There’s a lot of R&D, there’s a lot of customer acquisition costs. This is sort of why, not Microsoft, but the SaaS companies have underperformed massively in the markets, because the COGS of AI is just so high, and that just completely breaks how these business models work.”
Speaker
Dylan Patel
Publisher
Dwarkesh Podcast

04 / belief

In fact, that’s one of the other reasons why we want to think about what an Azure region looks like and what is the networking between Azure regions. This is where I think as the model capabilities evolve and the usage of these tokens evolves, whether it’s synchronously or asynchronously, you don’t want to be out of position.

“In fact, that’s one of the other reasons why we want to think about what an Azure region looks like and what is the networking between Azure regions. This is where I think as the model capabilities evolve and the usage of these tokens evolves, whether it’s synchronously or asynchronously, you don’t want to be out of position.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

05 / commitment

We will eventually have models, if they get to human level, which will have this ability to continuously learn on the job. That will drive so much value to the model company that is ahead, at least in my view, because you have copies of one model broadly deployed through the economy learning how to do every single job.

“We will eventually have models, if they get to human level, which will have this ability to continuously learn on the job. That will drive so much value to the model company that is ahead, at least in my view, because you have copies of one model broadly deployed through the economy learning how to do every single job.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast

06 / commitment

In fact we will take leases, we will take build-to-suit, we’ll even take GPUs-as-a-service where we don’t have capacity but we need capacity and someone else has that.

“In fact we will take leases, we will take build-to-suit, we’ll even take GPUs-as-a-service where we don’t have capacity but we need capacity and someone else has that.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

08 / commitment

Because from a hyperscale perspective, we want to build the most scaled infrastructure fleet that’s capable of supporting all the models the world needs, whether it’s from open source or obviously from OpenAI and others.

“Because from a hyperscale perspective, we want to build the most scaled infrastructure fleet that’s capable of supporting all the models the world needs, whether it’s from open source or obviously from OpenAI and others.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

09 / commitment

The way we are going to do it is to have a close loop between our own MAI models and our silicon, because I feel like that’s what gives you the birthright to do your own silicon, where you literally have designed the microarchitecture with what you’re doing, and then you keep pace with your own models.

“The way we are going to do it is to have a close loop between our own MAI models and our silicon, because I feel like that’s what gives you the birthright to do your own silicon, where you literally have designed the microarchitecture with what you’re doing, and then you keep pace with your own models.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

11 / prediction

I think that the key, key priority for the US tech sector and the US government is to ensure that we not only do leading innovative work, but that we also collectively build trust around the world on our tech stack.

“I think that the key, key priority for the US tech sector and the US government is to ensure that we not only do leading innovative work, but that we also collectively build trust around the world on our tech stack.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

12 / prediction

If I think about all of the Office artifacts being structured better, the ability to do the joins between structured and unstructured better because of the agentic world, that will grow the underlying infrastructure business.

“If I think about all of the Office artifacts being structured better, the ability to do the joins between structured and unstructured better because of the agentic world, that will grow the underlying infrastructure business.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

13 / prediction

In this case, because we have all the IP from the GPT family, we are taking that and putting it into the core middle tier of the Office system to teach it what it means to natively understand Excel, everything in it.

“In this case, because we have all the IP from the GPT family, we are taking that and putting it into the core middle tier of the Office system to teach it what it means to natively understand Excel, everything in it.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

14 / evaluation

During the transition from server to cloud, one of the questions we used to ask ourselves is, “Oh my God, if all we did was just basically move the same users who were using our Office licenses and our Office servers at the time to the cloud, and we had COGS, this is going to not only shrink our margins but we’ll be fundamentally a less profitable company.

“During the transition from server to cloud, one of the questions we used to ask ourselves is, “Oh my God, if all we did was just basically move the same users who were using our Office licenses and our Office servers at the time to the cloud, and we had COGS, this is going to not only shrink our margins but we’ll be fundamentally a less profitable company.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

15 / prediction

That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.

“That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

16 / prediction

I want to be able to take the flops that we use to generate a GPT family and maximize its value, while my MAI flops are being used for… Let’s take the image model that we launched, which I think is at number nine in the image arena.

“I want to be able to take the flops that we use to generate a GPT family and maximize its value, while my MAI flops are being used for… Let’s take the image model that we launched, which I think is at number nine in the image arena.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast
Search evidence