Greetings and welcome to the Microsoft Fiscal Year 2024 Third Quarter Earnings Conference Call. At this time all participants are in a listen-only mode. A question-and-answer session will follow the formal presentation. [Operator Instructions] As a reminder, this conference is being recorded.

I would now like to turn the conference over to your host, Brett Iversen, Vice President of Investor Relations..

Good afternoon and thank you for joining us today. On the call with me are Satya Nadella, Chairman and Chief Executive Officer; Amy Hood, Chief Financial Officer; Alice Jolla, Chief Accounting Officer; and Keith Dolliver, Corporate Secretary and Deputy General Counsel.

On the Microsoft Investor Relations website, you can find our earnings press release and financial summary slide deck, which is intended to supplement our prepared remarks during today's call and provides the reconciliation of differences between GAAP and non-GAAP financial measures.

More detailed outlook slides will be available on the Microsoft Investor Relations website when we provide outlook commentary on today's call. On this call, we will discuss certain non-GAAP items.

The non-GAAP financial measures provided should not be considered as a substitute for or superior to the measures of financial performance prepared in accordance with GAAP.

They are included as additional clarifying items to aid investors in further understanding the company's third quarter performance in addition to the impact these items and events have on the financial results. All growth comparisons we make on the call today relate to the corresponding period of last year, unless otherwise noted.

We will also provide growth rates in constant currency when available as a framework for assessing how our underlying businesses performed, excluding the effect of foreign currency rate fluctuations. Where growth rates are the same in constant currency, we will refer to the growth rate only.

We will post our prepared remarks to our website immediately following the call until the complete transcript is available. Today's call is being webcast live and recorded. If you ask a question, it will be included in our live transmission, in the transcript and in any future use of the recording.

You can replay the call and view the transcript on the Microsoft Investor Relations website. During this call, we will be making forward-looking statements, which are predictions, projections or other statements about future events. These statements are based on current expectations and assumptions that are subject to risks and uncertainties.

Actual results could materially differ because of factors discussed in today's earnings press release, in the comments made during this conference call and in the Risk Factors section of our Form 10-K, Forms 10-Q and other reports and filings with the Securities and Exchange Commission.

We do not undertake any duty to update any forward-looking statement. And with that, I'll turn the call over to Satya..

Modern Warfare 3, which is attracting new gamers and retaining franchise loyalists. Finally, we are expanding our games to new platforms, bringing four of our fan favorite titles to Nintendo Switch and Sony PlayStation for the first time.

In fact, earlier this month, we had seven games among the top 25 on the PlayStation store more than any other publisher. In closing, I'm energized about our opportunity ahead as we innovate to help people and businesses thrive in this new era. With that, let me turn it over to Amy..

Thank you, Satya, and good afternoon, everyone. Our third quarter revenue was $61.9 billion, up 17%; and earnings per share was $2.94, up 20%. Results exceeded expectations, and we delivered another quarter of double-digit top and bottom line growth with continued share gains across many of our businesses.

In our commercial business, bookings increased 29% and 31% in constant currency, significantly ahead of expectations, driven by Azure commitments with an increase in average deal size and deal length as well as strong execution across our core annuity sales motions.

In Microsoft 365, suite strength contributed to ARPU expansion for our Office Commercial business, although new business growth continued to moderate for stand-alone products sold outside the Microsoft 365 suite. Commercial remaining performance obligation increased 20% and 21% in constant currency to $235 billion.

Roughly 45% will be recognized in revenue in the next 12 months, up 20% year-over-year. The remaining portion recognized beyond the next 12 months increased 21%. And this quarter, our annuity mix increased to 97%.

In our consumer business, PC market demand was slightly better than we expected, benefiting Windows OEM, while advertising spend landed relatively in line with our expectations. In gaming, we also saw better-than-expected performance of Activision titles, benefiting Xbox content and services.

At a company level, Activision contributed a net impact of approximately 4 points to revenue growth, was a 2-point drag on operating income growth and had a negative $0.04 impact to earnings per share.

A reminder, that this net impact includes adjusting for the movement of Activision content from our prior relationship as a third-party partner to first party and also includes $935 million from purchase accounting adjustments, integration and transaction-related costs.

FX did not have a significant impact on our results and was roughly in line with our expectations on total company revenue, segment level revenue, COGS and operating expense growth. Microsoft Cloud revenue was $35.1 billion and grew 23%, ahead of expectations.

Microsoft Cloud gross margin percentage decreased slightly year-over-year to 72%, a bit better than expected.

Excluding the impact of the change in accounting estimate for useful lives, gross margin percentage increased slightly, driven by improvement in Azure and Office 365, even with the impact of scaling our AI infrastructure, partially offset by sales mix shift to Azure.

Company gross margin dollars increased 18% and gross margin percentage increased slightly year-over-year to 70%.

Excluding the impact of the change in accounting estimate, gross margin percentage increased roughly 1 point even with the impact from the purchase accounting adjustments, integration and transaction-related costs from the Activision acquisition.

Growth was driven by the improvement in Azure and Office 365 just mentioned as well as sales mix shift to higher-margin businesses. Operating expenses increased 10% with 9 points from the Activision acquisition. At a total company level, head count at the end of March was 1% lower than a year ago.

Operating income increased 23% and operating margins increased roughly 2 points year-over-year to 45%, excluding the impact of the change in accounting estimate, operating margins increased roughly 3 points, driven by the higher gross margin noted earlier and improved operating leverage through continued cost discipline. Now to our segment results.

Revenue from Productivity and Business Processes was $19.6 billion and grew 12% and 11% in constant currency, in line with expectations. Office Commercial revenue grew 13% and 12% in constant currency.

Office 365 commercial revenue increased 15%, in line with expectations, driven by healthy renewal execution, ARPU growth from continued E5 momentum and early Copilot for Microsoft 365 progress. Paid Office 365 commercial seats grew 8% year-over-year with installed base expansion across all customer segments.

Seat growth was again driven by our small and medium business and frontline worker offerings, although growth continued to moderate in SMB. Office Commercial Licensing declined 20% and 18% in constant currency, with continued customer shift to cloud offerings. Office Consumer revenue increased 4%, slightly below expectations.

Microsoft 365 subscriptions grew 14% to $80.8 million. LinkedIn revenue increased 10% and 9% in constant currency, ahead of expectations, driven by slightly better-than-expected performance in our premium subscriptions and Talent Solutions businesses.

However, in Talent Solutions, bookings growth continues to be impacted by the weaker hiring environment in key verticals. Dynamics revenue grew 19% and 17% in constant currency, ahead of expectations.

Growth was driven by Dynamics 365, which grew 23% and 22% in constant currency with continued growth across all workloads and better-than-expected new business, although bookings growth remains moderated. Segment gross margin dollars increased 11%, and gross margin percentage decreased slightly year-over-year.

Excluding the impact of the change in accounting estimate, gross margin percentage increased slightly driven by improvement in Office 365. Operating expenses increased 1% and operating income increased 17% and 16% in constant currency. Next, the Intelligent Cloud segment.

Revenue was $26.7 billion, increasing 21%, ahead of expectations with better-than-expected results across all businesses. Overall, Server products and cloud services revenue grew 24%. Azure and other cloud services revenue grew 31% ahead of expectations, while our AI services contributed 7 points of growth as expected.

In the non-AI portion of our consumption business, we saw greater-than-expected demand broadly across industries and customer segments as well as some benefit from a greater-than-expected mix of contracts with higher in-period recognition.

In our per-user business, the Enterprise Mobility and Security installed base grew 10% to over 274 million seats, with continued impact from the growth trends in new stand-alone business noted earlier.

In our on-premises server business, revenue increased 6%, ahead of expectations, driven by better-than-expected renewal strength, particularly for contracts with higher in-period revenue recognition. Enterprise and partner services revenue decreased 9% on a strong prior year comparable for enterprise support services.

Segment gross margin dollars increased 20% and gross margin percentage decreased slightly year-over-year.

Excluding the impact of the change in accounting estimate [indiscernible] percentage increased slightly, primarily driven by the improvement in Azure noted earlier, even with the impact of scaling our AI infrastructure, partially offset by sales mix shift to Azure. Operating expenses increased 1% and operating income grew 32%.

Now to More Personal Computing. Revenue was $15.6 billion, increasing 17% with 15 points of net impact from the Activision acquisition. Results were above expectations, driven by better-than-expected performance in gaming and Windows OEM.

Windows OEM revenue increased 11% year-over-year, ahead of expectations, primarily driven by the slightly better PC market noted earlier as well as mix shift to higher monetizing markets.

Windows commercial products and cloud services revenue increased 13% and 12% in constant currency, below expectations with impact from the growth trends in new stand-alone business noted earlier as well as lower in-period revenue recognition from a mix of contracts.

Devices revenue decreased 17% and 16% in constant currency as we remain focused on our higher-margin premium products. Overall, Surface demand was slightly lower than expected. Search and News advertising revenue ex TAC increased 12% ahead of expectations with continued volume growth and increased engagement on Bing and Edge. And in gaming.

Revenue increased 51% and 50% in constant currency with 55 points of net impact from the Activision acquisition. Results were ahead of expectations, primarily driven by Call of Duty. Xbox content and services revenue increased 62% and 61% in constant currency with 61 points of net impact from the Activision acquisition.

Xbox hardware revenue decreased 31% and 30% in constant currency. Segment gross margin dollars increased 27% and 26% in constant currency, with 13 points of net impact from the Activision acquisition. Gross margin percentage increased roughly 4 points year-over-year, primarily driven by sales mix shift to higher-margin businesses.

Operating expenses increased 41% with 43 points from the Activision acquisition. Operating income increased 16% and 15% in constant currency. Now back to total company results. Capital expenditures, including finance leases, were $14 billion to support our cloud demand, inclusive of the need to scale our AI infrastructure.

Cash paid for PP&E was $11 billion. Cash flow from operations was $31.9 billion, up 31%, driven by strong cloud billings and collections. Free cash flow was $21 billion, up 18% year-over-year, reflecting higher capital expenditures to support our cloud and AI offerings.

This quarter, other income and expense was negative $854 million, lower than anticipated, driven by losses on investments accounted for under the equity method. Our effective tax rate was approximately 18%. And finally, we returned $8.4 billion to shareholders through dividends and share repurchases.

Now moving to our Q4 outlook, which unless specifically noted otherwise, is on a U.S. dollar basis. First, FX. Based on current rates, which reflect the recent strengthening of the U.S. dollar, we now expect FX to decrease total revenue and segment level revenue growth by less than 1 point.

When compared to our January guide for Q4, FX, this is a decrease to total revenue of roughly $700 million. We expect FX to decrease COGS growth by approximately 1 point and operating expense growth by less than 1 point.

In commercial bookings, we expect solid growth on a relatively flat expiry base driven by continued strong commercial sales execution. As a reminder, larger, long-term Azure contracts, which are more unpredictable in their timing, can drive increased quarterly volatility in our bookings growth rate.

Microsoft Cloud gross margin percentage should decrease roughly 2 points year-over-year. Excluding the impact from the change in accounting estimate, Q4 cloud gross margin percentage will be down slightly as improvement in Azure, inclusive of scaling our AI infrastructure will be offset by sales mix shift to Azure.

We expect capital expenditures to increase materially on a sequential basis driven by cloud and AI infrastructure investments. As a reminder, there can be normal quarterly spend variability in the timing of our cloud infrastructure build-outs and the timing of finance leases.

We continue to bring capacity online as we scale our AI investments with growing demand. Currently, near-term AI demand is a bit higher than our available capacity. Next, to segment guidance. In Productivity and Business Processes, we expect revenue to grow between 9% and 11% in constant currency or US$19.9 billion to US$20.2 billion.

In Office Commercial, revenue growth will again be driven by Office 365 with seat growth across customer segments and ARPU growth primarily through E5. We expect Office 365 revenue growth to be approximately 14% in constant currency.

We continue to progress with adoption of CoPilot for Microsoft 365 and remain excited for the long-term growth opportunity. In our on-premises business, we expect revenue to decline in the mid to high teens. In Office Consumer, we expect revenue growth in the low to mid-single digits, driven by Microsoft 365 subscriptions.

For LinkedIn, we expect revenue growth in the mid to high single digits driven by continued growth across all businesses. And in Dynamics, we expect revenue growth in the low to mid-teens, driven by Dynamics 365. For both LinkedIn and Dynamics, the continued bookings growth moderation noted earlier is a headwind to Q4 revenue growth.

For Intelligent Cloud, we expect revenue to grow between 19% and 20% in constant currency or US$28.4 billion to US$28.7 billion. Revenue will continue to be driven by Azure, which, as a reminder, can have quarterly variability primarily from our per-user business and in-period revenue recognition depending on the mix of contracts.

In Azure, we expect Q4 revenue growth to be 30% to 31% in constant currency or similar to our stronger-than-expected Q3 results. Growth will be driven by our Azure Consumption business and continued contribution from AI with some impact from the AI capacity availability noted earlier.

Our per-user business should see benefit from Microsoft 365 suite momentum. Though we expect continued moderation in seat growth rates given the size of the installed base. In our on-premises server business, we expect revenue growth in the low to mid-single digits with continued hybrid demand, including licenses running in multi-cloud environments.

And in Enterprise and Partner Services revenue should decline in the mid- to high single digits on a high prior year comparable for enterprise support services. In More Personal Computing, we expect revenue to grow between 10% and 13% in constant currency or US$15.2 billion to US$15.6 billion.

Windows OEM revenue growth should be in the low to mid-single digits as PC market unit volumes continue at pre-pandemic levels. In Windows Commercial Products and Cloud Services, customer demand for Microsoft 365 and our advanced security solutions should drive revenue growth in the mid-single digits.

As a reminder, our quarterly revenue growth can have variability primarily from in-period revenue recognition depending on the mix of contracts. In Devices, revenue should decline in the mid-teens as we continue to focus on our higher-margin premium products.

Search and news advertising ex TAC revenue growth should be in the low to mid-teens, driven by continued volume strength. This will be higher than overall search and news advertising revenue growth, which we expect to be relatively flat.

And in Gaming, we expect revenue growth in the low to mid-40s, including approximately 50 points of net impact from the Activision acquisition. We expect Xbox content and services revenue growth in the high 50s driven by approximately 60 points of net impact from the Activision acquisition. Hardware revenue will decline again year-over-year.

Now back to company guidance. We expect COGS between US$19.6 billion to US$19.8 billion, including approximately $700 million from purchase accounting, integration and transaction-related costs from the Activision acquisition.

We expect operating expense of US$17.15 billion to US$17.25 billion, including approximately $300 million from purchase accounting, integration and transaction-related costs from the Activision acquisition.

Therefore, we now expect full year FY2024 operating margins to be up over 2 points year-over-year, even with our cloud and AI investments, the impact from the Activision acquisition and the headwind from the change in useful lives last year.

This operating margin expansion reflects the hard work across every team to drive efficiencies and maintain disciplined cost management, knowing we will continue to grow our cloud and AI investments next year.

Other income and expense should be roughly negative $850 million as interest income will be more than offset by interest expense and losses on investments accounted for under the equity method. As a reminder, we are required to recognize gains or losses on our equity investments which can increase quarterly volatility.

We expect our Q4 effective tax rate to be approximately 18%. Now I’d like to share some closing thoughts as we look to the next fiscal year. We continue to focus on building businesses that create meaningful value for our customers and therefore, significant growth opportunities for years to come.

In FY2025, that focus on execution should again lead to double-digit revenue and operating income growth to scale to meet the growing demand signal for our cloud and AI products, we expect FY2025 capital expenditures to be higher than FY2024.

These expenditures over the course of the next year are dependent on demand signals and adoption of our services. So we will manage that signal through the year. We will also continue to prioritize operating leverage.

And therefore, we expect FY2025 operating margins to be down only about 1 point year-over-year, even with our significant cloud and AI investments, as well as a full year of impact from the Activision acquisition.

We are leading the AI platform wave and are committed to bringing that value to our global customers as we enter the final quarter of our fiscal year. With that, let’s go to Q&A, Brett..

Thanks, Amy. We’ll now move over to Q&A. Out of respect for others on the call, we request that participants please only ask one question.

Operator, can you please repeat your instructions?.

[Operator Instructions] And our first question comes from the line of Keith Weiss with Morgan Stanley. Please proceed..

Thank you, guys for taking the question and congratulations on a fantastic quarter. A lot of excitement in the marketplace around generative AI and the potential of these technologies, but there’s also a lot of investment going on behind them. It looks like Microsoft is on track to ramp CapEx over 50% year-on-year this year to over $50 billion.

And there’s media speculation of more spending ahead with some reports talking about like $100 billion data center. So obviously, investments are coming well ahead of the revenue contribution.

But what I was hoping for is that you could give us some color on how use as the management team, try to quantify the potential opportunities that underlie these investments because they are getting very big.

And maybe if you could give us some hint on whether there's any truth to the potential of like $100 billion data center out there? Thank you so much..

Thank you, Keith for the question, let me start and then Amy, you can add. At a high level, the way we, as a management team, talk about it is there are two sides to this, right? There is training and their inference. Given that we want to be a leader in this big generational shift and paradigm shift in technology, that's on the training side.

We want to be able to allocate the capital required to essentially be training these large foundation models and stay on the leadership position there. And we've done that successfully all the way today, and you've seen it flow through our P&L, and you can continue to see that going forward.

Then Amy referenced what we also do on the inference side, which is, one, we first innovate and build products. And of course, we have an infrastructure business that's also dependent on a lot of ISVs building products that run on our infrastructure. And it's all going to be demand driven.

In other words, we track – we're closely what's happening with inference demand, and that's something that we will manage, as Amy said in her remarks very, very closely. So we feel – and obviously, we've been doing this, quite frankly, Keith, for now multiple years. So this is not the quarter.

I realize in the news, it's a lot more in the quarter nowadays. But if you look at it, we have been doing what is essentially capital allocation to be a leader in AI for multiple years now, and we plan to sort of essentially keep taking that forward..

And Keith, I do think it's important to really think about our planning cycles and we do talk about spending sequentially higher. And we look forward to being able to continue to build out the infrastructure needed to meet the demand. Another thing that you’ve really asked in the beginning was the opportunity and the size of that.

And I think in some ways, it's important to think about every business process that can be impacted and the opportunity that's represented by every business process. And so when you think of it that way, I think the opportunity is significant. The opportunity to power that next wave of “cloud infrastructure” is important.

It's important because we've been the leader for this decade of the cloud transition, and it's important for us to confidently invest to do that in the second wave, building on our success in the first. And I think that's really the best way to think about how we'll spend is the same way we approached it for a decade.

Watch the signal, invest to be a leader in the technical foundation and then execute consistently to add value to customers. The opportunity is represented by the amount of value we add and I look forward to being able to continue to deliver that..

Excellent. Thank you so much..

Thanks, Keith. Operator, next question please..

The next question comes from the line of Brent Thill with Jefferies. Please proceed..

Satya, how would you characterize the demand environment? On one hand, you have bookings in Azure both accelerating year-over-year in the quarter, but we're seeing a lot of future concern hesitation from other vendors we all cover. So, I think everyone love to get your sense of budget health for customers this year..

Great question, Brent. There are a couple of things I’d say. On the Azure side, which I think is what you specifically asked, we feel very good about the – we are fundamentally a share taker there because if you look at it from our perspective at this point, Azure has become a protocol for pretty much anybody who is doing an AI project.

And so that's sort of been a significant help for us in terms of acquiring even new customers. Some of the logos I even referenced in my remarks, our new Azure customers. So, that's one. The second thing that we're also seeing is AI just doesn't sit on its own. So, AI projects obviously start with calls to AI models, but they also use a vector database.

In fact, Azure Search, which is really used by even ChatGPT is one of the fastest-growing services for us. We have Fabric integration to Azure AI. And so, Cosmos DB integration. So, the data tier, the dev tools is another place where we are seeing great traction. So, we are seeing adjacent services in Azure that get attached to AI.

And lastly, I would say, migrations to Azure as well. So, this is not just all an AI story.

We are also looking at customers, I mean, this is something that we have talked about in the past, which is there's always an optimization cycle, but there's also – as people optimize, they spend money on new project starts, which will grow and then they'll optimize. So, it's a continuous side of it.

So, these are the three trends that are playing out on Azure in terms of what at least we see on demand side..

Thank you..

Thanks, Brent. Operator, next question please..

And the next question comes from the line of Mark Moerdler with Bernstein Research. Please proceed..

Thank you very much for taking my question and congratulates on the quarter and the guidance. I want to follow up on the AI, obviously. We’re seeing companies shifting their IT spending to invest in and learn about AI rather than receiving additional budgets for AI.

At some point, for AI to be transformative, as everyone expects, it needs to be accretive to spending.

Satya, when do you believe AI will hit the maturity level, will be net increase to IT or outside of IT spending? And what would be the leading indicators of that maturation? And Amy, am I characterizing this correctly as it relates to Azure? Some projects are being delayed so that, that spending could be shifted from core Azure toward Azure AI? Thank you..

Yes. Great set of questions, Mark. Let me just start by saying, a good place to start is to watch what’s happening in terms of standard issues for software teams, right? I mean if you think about it, they bought tools in the past.

Now, you basically buy tools plus Copilot, right? So, you could even say that this is characterized as perhaps shift of what is OpEx dollars into effectively tool spend because it gives operating leverage to all of the OpEx dollars you’re spending today, right? That’s really a good example of, I think, what’s going to happen across the board.

We see that in customer service. We see that in sales. We see that in marketing. Anywhere, there’s operations. That’s why I described it as knowledge turns. You can even think of it as lean for knowledge work, right, because it just reduces waste, increases speed, and customer value.

And so, one of the interesting rate limiters here is culture change inside of organizations. When I say culture change that means process change. And Amy referenced this even in her answer to the first question because at the end of the day companies will have to take a process, simplify the process, automate the process, and apply these solutions.

And so that requires not just technology, but in fact, companies to go do the hard work of culturally changing how they adopt technology to drive that operating leverage. And this is where we are going to see firm-level performance differences.

So, one of the things we see is any customer who is working closely with us deploying it internally at Microsoft we see it, right. We’re also taking our own medicine to apply this across every process. And we know that this is not just about technology, it’s about being able to have the methodology that goes with it.

And so, we see it in software development. We see it in customer service. We’re seeing it even in the horizontal use of Copilot today where every day people are discovering new workflows that they can optimize. And so, that’s like the PC when it became standard issue in early 1990s. That’s the closest analogy I can come up with.

And so, yes, it will take time for it to percolate through the economy, but this is faster diffusion, faster rate of adoption than anything we have seen in the past, as evidenced even by Copilot, right. It’s faster than any suite we have sold in the past, but it is going to require workflow and process change..

And Mark, maybe to answer your question on, are we seeing project starts transition from maybe the – something that was core consumption to an AI project? In our results, that’s not what we saw. We saw more what Satya was speaking to earlier, which is, you see maybe growth in migrations again.

You’re seeing work in the data space, again, and you’re seeing AI project starts. And I think that’s why maybe you see our growth be different, of course, than you see IT budget spend.

It’s because it’s a share, I think, improvement plus also really focusing on what Satya said, it’s about spending maybe in other areas that we don’t traditionally think of as being in the IT budget spend under a CIO. It’s spend being done by the Head of Customer Service, it’s spend being done by the Head of Marketing.

And I do think that will be important as we think about the opportunity ahead..

Incredibly helpful. Thank you both..

Thanks, Mark. Operator, next question please..

The next question comes from the line of Karl Keirstead with UBS. Please proceed..

Thank you. And Satya and Amy, congrats on these outstanding Azure results. I’d love to hone in a little bit on the seven-point lift to Azure growth from AI, outstanding number, but it’s leveling off a little bit from six points in December. I’m wondering if you could unpack that a little bit.

To what extent did the capacity issues that you Amy highlighted on the call, impact that number? Is there any seasonality? I wouldn’t think so or any other factor that can swing around that number that you’d advise us to keep in mind? Thanks so much..

Thanks, Karl. There’s not a seasonality to the numbers. So, you’re absolutely right to start there, and it’s a good question. The way to think about it is a bit more by – it is how much capacity we have in play and how much capacity that we have to sell on the inferencing side, in particular.

And so, that is partially why you see the capital investment in the shape that is, is because right this minute, we do have demand that exceeds our supply by a bit. So, it is fair to say that, that could have been an impact on the number for the quarter and it does impact a little bit the number in Q4..

Okay. Helpful. Thank you..

Thanks, Karl. Operator, next question please..

And the next question comes from the line of Raimo Lenschow with Barclays. Please proceed..

Thank you. I have more conceptual question for Satya. If you think about Copilots and what you're doing there, you're kind of impacting a lot of this in businesses and the opportunities seem very broad-based.

How do you think this will play out in the industry between you guys offering certain Copilots versus like the rest of the industry following and everyone seems to have a Copilot now and seems to be talking about it. How does that impact what do you want to do, your partner strategy going forward? Thank you..

Yes, it's a great question.

So the way we see it play out is, if you think about it, the way Office was used broadly for knowledge work was in the context of business processes, right? So it's not like – when people do knowledge work, they're not doing knowledge work, they're doing knowledge work and support of making progress in the context of sales enablement, customer service, revenue ops, supply chain or what have you, right? So that's the first thing to note.

And they do it inside of e-mail. They do it inside of Teams. They do it inside of Excel, PowerPoint, Word and what have you. Now we have the ability to essentially bridge the work and the work artifacts inside of these knowledge worker tools with the workflow and the business process and the business process data.

So when we think about our Copilot, our Copilot has that ability to integrate, whether it's with ServiceNow, it has the ability to integrate with SAP with Salesforce, with obviously Dynamics. That's what we are seeing.

In fact, you'll hear us talk a lot about it at our developer conference, which is the extensibility and Copilot Studio is really off to the races in terms of the product that most people are excited because one of the things in the enterprise if you want to ground your Copilot with enterprise data, which is in all of these SaaS applications and Copilot Studio is the tool to use it, to make that happen.

And so that's what we are seeing, which is we are building a Copilot, which also happens to be an orchestrator of all in other Copilots, which to us appear as extensions.

And net-net, what happens is some of these knowledge worker tools that people have used all the time, right? Because when you think about Teams, when you're having a meeting, you're not doing a random meeting, the meeting is in the context of some business process.

It could be a supply chain meeting where you're trying to understand which suppliers to bet on or what terms to do. And so now you can access all that data right in the Team's context. So that's I think what's exciting for us, having built all these horizontal tools, which I would say we're under underappreciated for the amount of work.

How people use those tools to make progress on business process, but we now get to bridge that between the business applications and knowledge worker tools, tomorrow horizontally..

Okay. Perfect. Thank you..

Thanks Raimo. Operator, next question please..

And the next question comes from the line of Michael Turrin with Wells Fargo. Please proceed..

Hey. Great. Appreciate you taking the question. I wanted to go back to Azure. You've been hinting at stabilization there for the past couple of quarters, but still very good to see the balance. Maybe you can expand on just what the commercial bookings number, appreciating the variability there does in terms of visibility.

And any characterization you can give us around what you're seeing in areas like cost optimization and core workload growth coming back is just helpful context for us in unpacking the numbers. Thank you..

Thanks, Michael. I may take those a bit in reverse. It's a little easier to address them.

When you think about – we've been talking about sort of stabilization and what you saw this quarter, if you break down the Azure number as you saw, which I think I talked a little bit about with Karl was 7 points of contribution from AI, and you could call them the difference '24 from our core really Azure business.

And within that, the activity we saw and the consumption side was really this balance that we were quite used to and have seen throughout the cloud transition. We saw new workload starts and we saw optimizations. And then those optimizations create new budget, and you apply it. And that cycle which is actually quite normal.

We saw it again this quarter in a balanced way. And I think when we talk about stabilization or even what we saw between Q2 and Q3, which is a bit of acceleration in that core, was a lot of the newer project starts relating back to not just AI starts, but lots of other workflows.

The companies are still going from on-prem to cloud, Satya mentioned migrations. And some of that, which I know isn't as exciting as talking about all the AI projects. This is still really foundational work to allow companies to take advantage of the cost savings and the total TCO is still really good.

And so I think that balance is really what you saw this quarter, and I do feel like there wasn't really a big difference, Michael, across industries or across geos. So I would say it was actually pretty consistent is the other maybe texture that I could give you to that question.

And so then when you're saying do we keep sort of pointing to stabilization, I really do look sort of workload to workload. What are we seeing? Where it starts? And this one actually felt quite balanced and optimization looks like they normally would, which by the way, is super important. It's something we encourage customers to do.

You want to run your workloads as efficiently as you possibly can. It's critical to customers being able to grow and get value out of that. So I sometimes think we – you all may ask the question more as a negative. And for us, it's just about a healthy cycle at the customer account level..

Consistent core cloud growth is still pretty exciting to us as well. Thank you..

Thank you..

Thanks, Michael.

Operator, next question please?.

The next question comes from the line of Kirk Materne with Evercore ISI. Please proceed..

Yes. Thanks for taking the question. I'll add my congrats in the quarter.

Hey Satya, I was wondering if you could chime in on a discussion that comes up a lot with investors, which is, is there a sort of data quality problem in the market in terms of being able to take advantage of all these new GenAI capabilities? And I was just curious, if you could comment on, do you see companies making inroads on sort of addressing that? And do you see that as sort of an inhibitor to AI growth at all at this point? Thanks..

Yes, it's a great question because there are two sets of things in order to make sense for successful deployment of these new AI capabilities. I mean if you sort of say this, what is this AI, it does two things, right? There's a new user experience, there is a natural language interface and second thing is it's the reasoning engine.

And the reasoning engine requires good data, and it's good requires, good data for grounding, right? So people talk about something called retrieval augmented generation. And in that context, having good grounding data that then help with the reasoning, I think, is helpful.

And then, of course, people are also looking to sort of fine-tune or RLHF or essentially take the large model and ground it further.

So all of these tools are now available, the sophistication of how to people can deploy these models across various business processes where there is data and where there is tuning of these models is also getting more widespread, even at system integrators and other developers are there to help enterprises. So all that's maturing. So we feel good.

And this is what I think on the commercial side, these are some of the harder problems to solve broad consumer, right? I mean I think this is a couple of orders of magnitude of improvements in, I'll call it, our models before we can sort of have more sophisticated open-ended consumer scenarios.

Whereas in the enterprise, these are all things we can go tackle. Again, I point to get up, if you think about how it's got an entire system, right? It's just not an AI model.

It's the, AI – the user experience, scaffolding, the editor, the chat, then interpreter and the debugger work along with the continuations of the model to help essentially create these reasoning traces, which help the entire thing work.

And effectively, what we are doing with Copilot, Copilot Studio and connectors to all these business systems, think of it as we are creating GitHub Copilot like scenarios for every business system. That's what I think is going to have both what Amy referenced is business value and better grounding.

But you're absolutely right in saying a lot of work we're doing with Fabric or Cosmos or PostgreSQL is about preparing that data so that it can be integrated with these AI projects..

Thank you..

Thanks, Kirk. Operator, we have time for one last question..

Our last question will come from the line of Alex Zukin with Wolfe Research. Please proceed..

Hey guys. Thanks for taking the question. I wanted to ask the AI question but from a Microsoft 365 Copilot perspective. I think you talked a little bit about starting to see some of those impacts positively in the quarter on the office business.

I wanted to ask more broadly around that capacity constraint that you alluded to in your prepared remarks, Amy. And kind of how does the easing – how tied are we like as you invest for that CapEx and bring more of the capacity online.

How much does that unlock or unlock the ability to deliver both a higher Azure AI number as well as a higher Microsoft 365 Copilot number..

Thanks for the question. It's a good opportunity to clarify. And I would not say that there is a capacity constraint on the Copilots. It's a real priority for us to make sure we optimize the allocation of our capacity to make sure that those per user businesses are able to continue to grow. And so think about that as our priority one.

And so then what that does mean is capacity constraints when we have them, you'll tend to see them on the Azure infrastructure side, the consumption side of the business is a better way of thinking about it.

Perfect. Thank you..

Thanks, Alex. That wraps up the Q&A portion of today's earnings call. Thank you for joining us today, and we look forward to speaking with all of you soon..

Thank you all..

Thank you..

This concludes today's conference. You may now disconnect your lines at this time. Enjoy the rest of your day..