I'd like to turn the conference over to your host, Brett Iverson, Vice President of Investor Relations. Mr. Iverson, please go ahead.
我想把会议交给您的主持人布雷特·艾弗森,即投资者关系副总裁。艾弗森先生,请您继续。
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 Jala, Chief Accounting Officer, and Keith Dauliver, 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 gap and non-gapped 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-gapped items. The non-gapped financial measures provided should not be considered as a substitute for or superior to the measures of financial performance prepared in accordance with gap. They are included as additional clarifying items to aid investors in further understanding the company's fourth 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 business is 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 factor section of our Form 10K, Form 10Q, and other reports and filings with 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. Thank you very much, Brad.
随着这样,我将把电话转给萨提亚。非常感谢,布拉德。
We had a solid close to our fiscal year. The Microsoft Cloud surpassed $110 billion in annual revenue, up 27% in constant currency, with Azure all-up accounting for more than 50% of the total for the first time.
Every customer I speak with is asking not only how, but how fast they can apply next-generation AI to address the biggest opportunities and challenges they face, and to do so safely and responsibly. To that end, we remain focused on three key priorities.
First, helping customers use the breadth and depth of Microsoft Cloud to get the most value onto their spend.
首先,帮助客户充分利用微软云的广度和深度,以获得最大的投资价值。
Second, investing to lead in the new AI platform shift by infusing AI across every layer of the tech stack.
其次,通过在技术堆栈的每一层面渗透人工智能,进行投资以引领新的人工智能平台转变。
And third, driving operating leverage. Now, I'll highlight examples of our progress starting with infrastructure.
第三点是推动操作杠杆。现在,我将重点介绍我们在基础设施方面取得的进展示例。
Azure continues to take share as customers migrate their existing workloads and invest in new ones. We continue to see more cloud migrations as it remains early when it comes to long-term cloud opportunity. We're also seeing increasing momentum with Azure Arc, which now has 18,000 customers, up 150% year-over-year, including Carnival Corp, Dominos, Thermo Fisher.
And Azure AI is ushering in new, born-in-the-cloud AI first workloads with the best selection of frontier and open models, including meta's recent announcement, supporting llama on Azure and Windows, as well as OpenAI.
We have great momentum across Azure OpenAI service. More than 11,000 organizations across industries, including IKEA, Volvo Group, Zurich Insurance, as well as digital natives like Flipkart, Humane, Kahoot, Mirror, Typeface, use the service. That's nearly 100 new customers added every day this quarter.
Mercedes-Benz, for example, is bringing chat GPT via Azure OpenAI to more than 900,000 vehicles in the United States, making its in-car voice assistant more intuitive and Moody's built its own internal co-pilot to improve productivity of its 14,000 employees.
We're also partnering broadly to scale this next generation of AI and more customers. Snowflake, for example, will increase its Azure spend as it builds new integrations with Azure OpenAI, and KPMG is announced a multi-billion dollar commitment to our cloud and AI services to transform professional services.
Now, I want to data. Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever. Our intelligent data platform brings together operational databases, analytics and governance so organizations can spend more time creating value and less time integrating their data estate.
现在,我想要数据。每个 AI 应用程序都以数据为基础,拥有一个全面的数据和分析平台比以往任何时候都更加重要。我们的智能数据平台将操作数据库、分析和治理功能整合在一起,使组织能够花更多时间创造价值,而不是将他们的数据整合起来。
We introduced Microsoft Fabric the Squatter, which unifies compute storage and governance with a disruptive business model. One month in, we are encouraged by early interest and usage. Over 8,000 customers are signed up to trial the service and are actively using it and over 50% are using four or more workloads. All up, we once again took share with our analytic solutions with customers like Bridgestone, Chevron and Equinor turning to our stack.
我们推出了名为"Microsoft Fabric the Squatter"的产品,它采用了一种颠覆性的商业模式,将计算、存储和治理统一起来。一个月过去了,我们对早期的兴趣和使用情况感到鼓舞。已有超过8,000个客户注册试用此服务,并积极地使用它,其中超过50%的客户使用了四种或更多的工作负载。总体而言,我们再次凭借我们的分析解决方案赢得了市场份额,像Bridgestone、Chevron和Equinor这样的客户都开始使用我们的技术堆栈。
Now, I want to developers. New Azure AI studio is becoming the tool of choice for AI development in this new era, helping organizations ground, fine tune, evaluate and deploy models and do so responsibly. VS Code and GitHub co-pilot are category leading products when it comes to how developers code every day. Nearly 90% of GitHub co-pilot signups are self-service indicating strong organic interest and pull through. More than 27,000 organizations up to two x quarter over quarter have chosen GitHub co-pilot for business to increase the productivity of their developers, including Airbnb, Dell and Scandinavian airlines. They're also applying AI across low-code, no-code tool chain to help domain experts automate workflows, create apps and web pages, build virtual agents or analyze data using just natural language.
Co-pilot in Power BI combines the power of large language models with an organization's data to generate insights faster and co-pilot in Power Pages makes it easier to create secure low-code business websites. One of our tools that's really taken off is co-pilot in Power Virtual Agents, which is delivering one of the biggest benefits of this new era of AI, helping customer service agents be significantly more productive. HP and Virgin Money, for example, have both built custom chatbots with co-pilot in Power Virtual Agents that would train to answer complex customer inquiries. All up more than 63,000 organizations have used AI-powered capabilities in Power Platform up 75% quarter over quarter. Every Power Automate now has 10 million monthly active users at companies like Jaguar, Land Rover, Rep. Saul, Rolls-Royce, up 55% year over year. We're going further with new process mining capabilities in Power Automate, which are helping organizations optimize business processes and in turn build their AI advantage.
Now on to business applications. We are taking share in every category as we help organizations across the private and public sector from Avis to Albertsons to Breville to Equinox and the US Department of Veterans Affairs transform their mission critical business processes. All up dynamics surpassed $5 billion in revenue over the past fiscal year with our customer experience, service and finance and supply chain businesses all surpassing $1 billion in annual sales. This quarter we brought dynamic 365 copilot to our ERP portfolio including finance, project operations and supply management. And with our new Microsoft sales copilot sellers can ground their customer interactions with data from CRM systems including both sales force and dynamics to personalize customer interactions and close more deals.
Now on to our industry and cross-industry clouds. Our Microsoft Cloud for sustainability is helping customers like Costco, Lander Lakes and REI take action to meet their environmental goals and in healthcare hundreds of organizations are using our nuanced DAX Ambient Intelligence solution to automatically document patient encounters at the point of care. This quarter we expanded our collaboration with EPIC to integrate nuanced DAX express directly into their industry leading EHR system.
No one to future a work. Across industries customers like A-Hole Del Hays, Deutsche Bank, Novartis, Siemens, Wells Fargo are choosing Microsoft 365 premium offerings for differentiated security, compliance, voice and analytics value. And four months ago we introduced a new pillar of customer value with Microsoft 365 copilot. We are now rolling out Microsoft 365 copilot to 600 big customers through our early access program and feedback from organizations like Emirates, NBD, General Motors, Goodyear and Lumen is that it's a game changer for employee productivity.
越来越多的企业正在选择微软的365高级套餐,包括像A-Hole Del Hays、德意志银行、诺华制药、西门子和富国银行这样的企业。这些企业都看中了微软365套餐在安全性、合规性、语音和分析方面的差异化价值。而在四个月前,我们推出了微软365的新客户价值支柱:协同助手。我们现在正在通过先期访问计划向600个大客户推出微软365的协同助手,并且来自阿联酋航空、NBD银行、通用汽车、固特异轮胎和Lumen等组织的反馈表明,协同助手对员工的生产力是一个改变游戏规则的工具。
We continue to build momentum in Microsoft teams across collaboration, chat, meetings and calling. We now have more than 1,900 apps and teams app store and companies in every industry from British Airways to Densu to Eli Lilly and Manulife have built over 145,000 customer line of business apps bringing business process directly into the flow of work.
Five months in teams premium has already surpassed 600,000 seats as companies like BNY Mellon, Clifford Chance, PepsiCo and Starbucks shows the add on for advanced features like end-to-end encryption and real-time translation. Teams Phone is the market leader in cloud calling with more than 17 million PSTN users up 45% year over year. Teams room is used by more than 70% of the Fortune 500 including L'Oreal United Airlines and US Bank and revenue more than doubled year over year at this quarter. And with Microsoft Viva we are creating a new market category for employee experience. Viva now has 35 million monthly active users as companies like CBRE, Fujitsu and UNICE's turn to the platform to build data-driven high-performance organizations.
Now onto Windows. The number of devices running Windows 11 is more than doubled in the last year and we are seeing continued growth in Windows 11 commercial deployments worldwide by companies like AT&T, Chronos and Westpac. We are also transforming how Windows is experienced and managed for enterprise customers with Azure Virtual Desktop in Windows 365 which together surpassed $1 billion in revenue for the first time over the past 12 months. Enbridge, Eurowings, Marriott International and TD Bank Group for example all chose cloud-delivered Windows this quarter. Windows 11 is also rapidly becoming a powerful new canvas in this new era of AI. We introduce Windows core pilot this quarter helping every Windows 11 user become a power user with just natural language and are excited to put it in the hands of more people in the coming months.
Now onto security more than 1 million organizations now count on our comprehensive AI power solutions to protect their digital estate across clouds and endpoint platforms up 26% year over year. More than 60% including leading enterprises like AB&AMRO, DAO and Heineken use four or more of our security products up 33% year over year underscoring our end-to-end differentiation. And we once again took share across all major categories we serve as we innovate to protect customers. In identity Microsoft Entriety has more than 610 million monthly active users and we are adding SSE to our Entriety product family to complement our leading identity solution and secure access to any app or resource from anywhere. Finally our security co-pilot the first product to apply this next generation of AI to SecOps will be available to customers via paid early access program this fall.
Now onto LinkedIn. LinkedIn's revenue surpassed 15 billion dollars for the first time this fiscal year and membership growth has now accelerated for eight quarters in a row. A testament to how mission critical the platform has become to help more than 950 million members connect, learn, sell and get hired. Our talent solutions business surpassed 7 billion dollars in revenue for the first time over the past 12 months and our hiring business took share for the fourth consecutive quarter. We continue to use AI to help our members and customers connect to opportunities and tap into experiences of experts on the platform. Our AI-powered collaborative articles are now the fastest growing traffic driver in LinkedIn. And finally we are helping LinkedIn stay trusted and authentic more than 7 million members have verified who they are or where they work many using new integrations with Microsoft Entriety as well as clear and hyper-wedge.
Now on to search advertising and news. While it's early in our journey we are reshaping daily search and web habits with our core pilot for the web. This quarter we introduced new AI-powered features including multimodal capabilities with visual search and Bing chat. We're expanding to businesses with Bing chat enterprise which offers commercial data protection providing an easy on ramp for any organization looking to get the benefit of this next generation of AI today. Bing is also the default search experience for OpenAI's chat GPT bringing timely answers with links to our reputable sources to chat GPT users. To date Bing users have engaged in more than 1 billion chats and created more than 750 million images with Bing image creator and Microsoft Edge took share for the ninth consecutive quarter. More broadly we are growing our ad network which is now available in a 187 market spanning search display native retail media video and connected TV.
Last week we extended our Activision Blizzard merger agreement deadline to October. We continue to work through the regulatory approval process and remain confident about getting the deal done.
We are committed to bringing more games to more players everywhere. Great content is key to our approach and our pipeline has never been stronger. We announced our most ambitious lineup of games ever at our showcase last month including 21 titles that will be available via Xbox Game Pass and we're looking forward to the release of Starfield this fall Bethesda's first new universe in 25 years.
我们致力于将更多的游戏带给全球各地的玩家。精彩的内容是我们的关键策略,我们的游戏项目规模前所未有地强大。上个月的展示活动中,我们宣布了迄今为止最雄心勃勃的游戏阵容,其中包括21款将通过Xbox Game Pass提供的游戏。我们非常期待今年秋季发布的《星界》(Starfield),这是Bethesda时隔25年推出的全新宇宙。
All up we set new fourth quarter highs for monthly active users driven by strength off console as well as monthly active devices and we saw record fourth quarter engagement across Game Pass with hours played up 22% year over year.
In closing I'm energized about the opportunities ahead. We continue to innovate across the tech stack to help our customers thrive in the new era of AI and with that let me turn it over to Amy.
In our largest quarter of the year results exceeded expectations with focused execution by our sales and partner teams. These execution efforts led to share games again this quarter in Azure, Dynamics, Security and Edge.
In our commercial business we continued to see healthy renewal strength which includes our upsell and attached motions particularly with Microsoft 365 E5. Growth of new business continued to be moderated for products sold outside the Microsoft 365 suite including standalone Office 365, EMS and Windows commercial products.
As expected in Azure we saw a continuation of the optimization and new workload trends from the prior quarter.
正如我们预料的那样,在Azure上我们看到了上个季度的优化和新的工作负载趋势的延续。
In our consumer business the PC market overall was in line with expectations although the early timing of back to school inventory bills benefited Windows OEM. Advertising spend was slightly lower than anticipated which impacted search and news advertising and leaked in marketing solutions.
Commercial bookings decreased 2% and 1% in constant currency in line with expectations against a prior year comparable that was our largest commercial bookings quarter ever.
In addition to the healthy execution across our renewal sales motions mentioned earlier we saw a record number of $10 million plus contracts for both Azure and Microsoft 365. And the average annualized value for our large long-term Azure contracts was the highest it's ever been driven by customer demand for our innovative cloud solutions today as well as interest in AI opportunities ahead.
Commercial remaining performance obligation increased 19% and 18 percent in constant currency to $224 billion. Roughly 45% will be recognized in revenue in the next 12 months up 13% year over year the remaining portion which will be recognized beyond the next 12 months increased 22% and this quarter our annuity mix increased to 97%.
FX impact on total company revenue segment level revenue and operating expense growth was as expected. FX decreased cogs growth by one point one point favorable to expectations.
Microsoft cloud revenue was 30.3 billion dollars and grew 21% and 23% in constant currency slightly ahead of expectations. Microsoft cloud gross margin percentage increased roughly 3.0 over year to 72% also slightly ahead of expectations.
Excluding the impact of the change in account estimate for useful lives Microsoft cloud gross margin percentage increased slightly driven by improvements in office 365 partially offset by lower Azure margin and the impact of scaling our AI infrastructure to meet growing demand. Company gross margin dollars increased 11% and 13% in constant currency including two points due to the change in accounting estimate gross margin percentage increased over year to 70%.
Excluding the impact of the change in accounting estimate gross margin percentage increased slightly driven by improvements in office 365.
除了会计估计变更的影响,毛利率百分比由于办公365的改进而略有增长。
Operating expense increased 2% in line with expectations as savings across the company from our focus on prioritization and efficiency were offset by the charge related to the Irish data protection commission matter. At a total company level headcount at the end of June was flat compared to a year ago.
Operating income increased 18% and 21% in constant currency including four points due to the change in accounting estimate. Operating margins increased roughly 4.0 over year to 43%.
Excluding the impact of the change in accounting estimate operating margins increased roughly two points driven by improved operating leverage through disciplined cost management.
Now for our segment results. Revenue from productivity and business processes was $18.3 billion in grew 10% and 12% in constant currency ahead of expectations with better than expected results in office commercial partially offset by LinkedIn. Office commercial revenue grew 12% and 14% in constant currency. Office 365 commercial revenue increased 15% and 17% in constant currency a bit better than expected with particular strength in E5 upsell at renewal noted earlier. Paid office 365 commercial seats grew 11% year over year with installed base expansion across all workloads and customer segments. Seat growth was again driven by our small and medium business and frontline worker offerings. Office commercial licensing declined 20% and 18% in constant currency with better than expected transactional purchasing.
Office consumer revenue increased 3% and 6% in constant currency with continued momentum in Microsoft 365 subscriptions with grew 12% to 67 million. LinkedIn revenue increased 5% and 7% in constant currency driven by growth and talent solutions with some continued bookings impact from the weaker hiring environment and key verticals. Growth was partially offset by a decline in marketing solutions due to the lower ad spend noted earlier. Dynamics revenue grew 19% and 21% in constant currency driven by Dynamics 365 was grew 26% and 28% in constant currency with continued healthy growth across all workloads. Segment rose margin dollars increased 14% and 16% in constant currency and gross margin percentage increased roughly three points year over year. Excluding the impact of the change in accounting estimate gross margin percentage increased roughly one point driven by improvements in Office 365. Operating expenses decreased slightly and operating income increased 25% and 29% in constant currency including three points due to change in accounting estimate.
Next the intelligent cloud segment. Revenue was 24 billion dollars increasing 15% and 17% in constant currency slightly ahead of expectations. Overall server products and cloud services revenue increased 17% and 18% in constant currency. Azure and other cloud services revenue grew 26% and 27% in constant currency including roughly one point from as services as expected. In our per user business the enterprise mobility and security install base grew 11% to over 256 million seats with impact from the continued growth trends in new business noted earlier. In our on-premises server business revenue decreased 1% and was relatively unchanged in constant currency driven by a slight decrease in new annuity contracts which carry higher in period revenue recognition. Enterprise services revenue grew 4% and 5% in constant currency with better than expected performance across enterprise support services and industry solutions. Segment gross margin dollars increased 16% and 17% in constant currency and gross margin percentage increased slightly. Excluding the impact of the change in accounting estimate gross margin percentage declined roughly two points driven by sales mix shift to Azure and the lower our Azure margin noted earlier. Operating expenses increased 10% operating income grew 20% and 22% in constant currency with roughly 6 points from the change in accounting estimate.
Now to more personal computing revenue was 13.9 billion dollars decreasing 4% and 3% in constant currency above expectations driven by better than expected performance in Windows partially offset by gaming. Windows OEM revenue decreased 12% year over year ahead of expectations due to 7 points of benefit from early back to school inventory builds while the overall PC market was as expected. Devices revenue decreased 20% and 18% in constant currency roughly in line with expectations. Windows commercial products and cloud services revenue increased 2% and 3% in constant currency ahead of expectations due to the renewal strength noted earlier even with the moderated growth of new business and standalone offerings. Search and news advertising revenue Xtack increased 8% a bit behind expectations due to lower ad spend noted earlier. Higher search volumes share games again this quarter for our edge browser and the benefit from the Zander acquisition were partially offset by the impact from third party partnerships. Ending gaming revenue increased 1% and 2% in constant currency lower than expected due to weakness in first party and third party content performance. Xbox content and services revenue increased 5% and 6% in constant currency and Xbox hardware revenue declined 13%. Segment gross margin dollars declined 2% and were relatively unchanged in constant currency and gross margin percentage increased roughly 1.0 over year driven by sales mix shift to higher margin businesses. Operating expenses declined 9% and 8% in constant currency. Operating income increased 4% and 6% in constant currency.
Now back to total company results. Capital expenditures including finance leases were $10.7 billion to support cloud demand including investments in AI infrastructure. Cash pay for PPE was $8.9 billion. Cash flow from operations was $28.8 billion up 17% year over year as strong cloud billings and collections were partially offset by a tax payment related to the R&D capitalization provision. Free cash flow was $19.8 billion of 12% year over year. Excluding the impact of this tax payment, cash flow from operations increased 22% and free cash flow increased 19%. This quarter other income expense was $473 million higher than anticipated driven by net gains on foreign currency remesurment. Our effective tax rate was approximately 19%. And finally, we returned $9.7 billion to shareholders through share repurchases and dividends bringing our total cash return to our shareholders to over $38 billion for the full fiscal year.
Now let's turn to next fiscal year and start with a few reminders. First, the change in accounting estimate for the useful life of server and network equipment resulted in $3.7 billion of depreciation expense shifting from FY23 to future periods. Our FY23 operating income and margins benefited from this change in accounting estimate and that will be a headwind to growth in FY24 as the benefit reduces to $2.1 billion. Next, my outlook commentary for both the full year and next quarter is on a US dollar basis unless specifically noted otherwise. And my outlook does not include any impact from the Activision acquisition, which we continue to work towards closing, subject to obtaining required regulatory approvals.
Now, for some thoughts on the full year of FY24. With the weaker US dollar and assuming current rates remain stable, we expect FX to increase full year revenue growth by approximately one point with no impact to CODS or operating expense growth. The impact in H1 is expected to be greater in H2. At a total company level, revenue growth from our commercial business will continue to be driven by the Microsoft Cloud and will again outpace the growth from our consumer business. Even with strong demand and a leadership position, growth from our AI services will be gradual. As Azure AI scales and our co-pilots reach general availability dates. So for FY24, the impact will be weighted towards H2. To support our Microsoft Cloud growth and demand for our AI platform, we will accelerate investment in our cloud infrastructure. We expect capital expenditures to increase sequentially each quarter through the year as we scale to meet demand signals. We are committed to driving operating leverage and therefore we will manage our total cost growth across CODS and operating expense in line with the demand signals we see as well as revenue growth. Increased capital spend will drive higher CODS growth than in FY23 and FY24 operating expense growth will remain low as we prioritize our spend. Therefore, we expect full year operating margins to remain flat year over year, even with the headwind from the change in accounting estimate. And finally, we expect our FY24 tax rate to be around 19%.
Now, to the outlook for the first quarter. First FX. Based on current rates, we expect FX to increase total revenue and operating expense growth by approximately one point with no impact to CODS growth. Within the segments, we expect FX to increase revenue growth in intelligent cloud by one point with no impact to productivity and business processes or more personal computing. In commercial bookings, strong execution across our core annuity sales motions, including our renewal and up-sale motions, along with long-term measure commitments, should drive healthy growth on a growing expiry base. Microsoft Cloud growth margin percentage should decrease roughly one point year over year, driven by the accounting estimate change headwind noted earlier. Excluding that impact, Q1 cloud growth margin percentage will be up roughly one point, primarily driven by improvements in Azure and Office 365, partially offset by sales mix ship to Azure, and the impact of scaling our AI infrastructure to meet growing demand. We expect capital expenditures to increase sequentially on a dollar basis, as noted earlier, driven by investments in our AI infrastructure. Reminder, there can be normal quarterly spend variability in the timing of cloud infrastructure build out.
Next, the segment guidance. In productivity and business processes, we expect revenue to grow between 9 and 11 percent or 18 to 18.3 billion US dollars. In office commercial, revenue growth will again be driven by Office 365 with seat growth across customer segments and our food growth through E5. We expect Office 365 revenue growth to be roughly 16 percent in constant currency.
In our on-premises business, we expect revenue to decline in the low 20s. In office consumer, we expect revenue growth to be in the low to mid-single digits, driven by Microsoft 365 subscriptions. For LinkedIn, we expect revenue growth in the low to mid-single digits, even with share gains in our hiring business, growth will continue to be impacted by the overall markets for recruiting and advertising, especially in the technology industry where we have significant exposure.
And in dynamics, we expect revenue growth in the mid to high teens, driven by continued growth in Dynamics 365. For intelligent cloud, we expect revenue to grow between 15 and 16 percent or 14 and 15 percent in constant currency. Revenue should be 23.3 to 23.6 billion US dollars. Revenue will continue to be driven by Azure, which, as a reminder, can have quarterly variability primarily from our per user business and from in-period revenue recognition, depending on the mix of contracts.
In Azure, we expect revenue growth to be 25 to 26 percent in constant currency, including roughly two points from all Azure AI services. Growth continues to be driven by our Azure consumption business, and we expect the trends from Q4 to continue in DICute 1. Our per user business should continue to benefit from Microsoft 365 sweet momentum, though we expect continued moderation and growth rates given the size of the installed base. In our on-premises server business, we expect revenue to decline low to mid-single digits against a prior comparable that benefited from annuity purchasing ahead of the SQL Server 2022 launch. And in enterprise services, revenue should decline low to mid-single digits year over year as growth and enterprise support services will be more than offset by a decline in industry solutions.
在Azure方面,我们预计收入增长在恒定货币中将达到25%至26%,其中包括大约2个百分点来自Azure人工智能服务。增长仍然受到我们的Azure消费业务的推动,并且我们希望DICute 1的趋势将继续保持。我们的每个用户业务应该会继续受益于Microsoft 365的良好势头,虽然考虑到已安装基数的规模,我们预计增长率会继续适度缓和。在我们的本地服务器业务中,我们预计收入将下降低至中个位数,对比之前的业绩,之前的业绩受益于SQL Server 2022发布前的年金购买。而在企业服务方面,收入年度同比预计将下降低至中个位数,因为增长和企业支持服务的增长将被行业解决方案的下降所抵消。
And more personal computing, we expect revenue of 12.5 to 12.9 billion US dollars. Windows OEM revenue should decline low to mid-teens, including five points of negative impact from the earlier back to school inventory builds that were pulled into the fourth quarter. Our guide assumes no significant changes to the PC demand environment. In devices, revenue should decline in the mid-30s due to the overall PC market and adjustments we made in our portfolio with an increased focus on our higher margin premium products. The Windows commercial products and cloud services customer demand for Microsoft 365 in our advanced security solutions should drive revenue growth in the mid- to high single digits.
Search and news advertising, ex-tact revenue growth, should be mid- to high single digits, roughly five points higher than overall search and news advertising revenue, driven by continued volume strength supported by edge browser share gains. Growth will continue to be impacted by the advertising spend environment and third-party partnerships mentioned earlier. We continue to be excited by being usage signals and a longer term opportunity as we invest in AI. And in gaming, we expect revenue growth in the mid- single digits. We expect Xbox content and services revenue growth in the mid- to high single digits given by first-party and third-party content, as well as Xbox Game Pass.
搜索和新闻广告,预计收入增长率应该保持在中高个位数,大致比整体搜索和新闻广告收入高出五个百分点,主要受到继续增长的流量强劲支持,而流量的增长主要得益于边缘浏览器的份额提升。增长将继续受到广告支出环境和第三方合作伙伴关系的影响。我们对于用户使用信号以及在人工智能方面的长期机遇感到兴奋。在游戏方面,我们预计收入增长率将保持在中个位数。鉴于第一方和第三方内容以及Xbox Game Pass的支持,我们预计Xbox内容和服务的收入增长率将保持在中高个位数。
Now back to company guidance. We expect COGS between 16.6 to 16.8 billion US dollars and operating expense of 13.5 to 13.6 billion US dollars. Together, total cost growth should be around 6%. Other income and expense should be roughly $300 million as interest income is expected to more than offset interest expense. Two reminders. This does not include any impact from Activision on interest income and expense, and we are required to recognize market-to-market games or losses on our equity portfolio, which can increase quarterly volatility. We expect our Q1 effective tax rate to be around 19%.
And finally, as a reminder for Q1 cash flow, we expect to make a $2.7 billion cash payment related to the TCGA transition tax. We do not expect a payment related to the R&D capitalization provision in Q1 in closing. As a company, we delivered on the FY23 financial commitments we discussed a year ago on revenue and operating margin. A focus on operational excellence allowed us to achieve these targets while we delivered near-term value to customers and prioritized our investments to continue to lead in the future.
As we started FY24, we are excited for the opportunities ahead and remain focused on delivering the three key priorities thought you mentioned. We'll maintain our lead as the top commercial cloud by helping customers use the breadth and depth of the Microsoft Cloud. We'll continue to invest in our cloud and AI infrastructure while scaling with growing demand so we can lead the AI platform wave. And finally, we'll align our costs with growth as we are committed to driving operating leverage. With that, let's go to Q&A Brett.
Hey, Sammy. 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. Joe, can you please repeat your instruction? Yes, ladies and gentlemen, if you would like to ask a question, please press star one on your telephone keypad and a confirmation tool indicates your line is in the question queue. You may press star two if you would like to remove your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. One moment, please, while we pull for questions. And our first question comes from the line of Keith Weiss with Morgan Stanley. Please proceed. Thanks, Juan. Thank you guys for taking the question and very nice end to a great fiscal year. Sati, you started out your comments talking about how every customer conversation has the customer asking you about utilizing generative AI technology and how fast it could utilize that generative AI technology. What's the answer? What do you tell them in terms of the pace with which that could get into the marketplace and your customers can start using it?
And then for Amy, how should investors think about just the fundamental gross margins behind these generative AI technologies? We understand there's going to be a lot of CAPX to ramp up underneath these. But what do we expect in terms of what the ultimate gross margin looks like underneath all these new generative AI solutions? Thank you.
Thank you, Keith, for the question. The fundamental guidance and conversation that we have with customers is twofold. One is the easiest path to value order generative AI is to adopt certain solutions. For example, get up co-pilot. In some sense, it's sort of the no-brainer to add productivity leverage for all of the software developers in any organization, whether you're a bank, you're a retailer, or you're a software company, it applies to everyone. So that's probably one of the things that we have seen very good, even productivity data and great adoption. And then obviously the excitement that there is already around the M365 co-pilot. So first thing we sort of talked about is how we are felt at deploying all these co-pilots across, whether it's sales co-pilot or M365 co-pilot or data co-pilot, how do you get maximum value out of these horizontal tool chain? And then on top of that, we have taken what we did underneath these products and built it out as a first-class tech stack, which we talked about in our developer conference called the co-pilot stack. And then with Azure AI tooling, made it possible for someone like Moody's to build their own co-pilot for their people.
So to us, we want to be able to help customers build their generative AI applications on top of Azure AI and with speed, if you will. And so those are the two things that we asked them to identify where they can get the maximum productivity leverage. And then we even swung with our own resources to help them get those things done.
And the last kind I'd make is the cloud and data in the cloud enables all this, because I think the diffusion cycle here is in some sense, we have a new set of cloud meters that are getting adopted faster because of everything else that came before it in the cloud. So those will be the observations.
And to your question, Keith, on gross margins and how I think about those going forward, the first thing I would say is I expect gross margins here to transition over time just like they did in the prior cloud transition. I would also say I expect workloads and the gross margins of the workloads to be different, just like they are in the cloud today. I would also add one thing that's different than last time, we talked a bit about this before, is that we start out in a different place with more of a shared platform, which allows us to scale those gross margins a bit faster than last time. And we do expect, as you asked and Satya talked about, the pace of this adoption curve, we do expect to be faster. So you're seeing the CAPX spend accelerate in Q4, and then again in Q1, and we've talked about what it should look like the rest of the year. Now that being said, we're talking about all that and going through that transition while delivering, and FY24 over FY23, effectively a point higher operating margins, because if it's flat, year over year as we guided, with the headwind from the useful life change, when you correct for that, it's about a point higher. So I think the real focus here is being able to be aggressive in meeting the demand curve and focusing on the transition and gross and gross margins and delivering the operating leverage.
All right, so thank you guys. Thanks Keith, operator, next question please.
好的,谢谢大家。谢谢Keith,接下来有问题吗?
Our next question comes from the line of Brent Till with Jeffries, please proceed.
我们的下一个问题来自杰弗里斯公司的布伦特·蒂尔,请提问。
Thank you Satya. I'm the optimization headwinds that you continue to see. When do you think we hit peak optimization? Are we getting close to hitting that peak and getting some relief in the back half of the year, and maybe AI helping provide us a tailwind? Any color from what you're seeing from your perspective would be helpful.
Sure Brent, thank you for the question. Yeah, a couple of observations. One is, I think overall in the cloud, you do see new project starts, and then those project starts get optimized, and then you sort of time series all of that, and that's sort of what you see in the normal course. What happened here was during the pandemic, obviously there were lots of new project starts and optimization in some sense was postponed, and that's where you're seeing our call it catch up optimization, and that's something that to your point we will lap going into the next couple of quarters. I think it will come down, and we are seeing new project starts. Both traditional type of project starts, even cloud migrations, data applications, and of course obviously the AI applications. But we'll get back to our call at the normal pace of new project starts and optimizations. Going forward, Brent, we will cycle through, I think, in the next couple of quarters, what is the last catch up optimization? I would just, Deborah, I think to start this point, and maybe to build a bit of a line for you, I think it felt very similar to last quarter where we made the same comments, which is, we're seeing sort of the normal optimization, plus we're seeing new workload starts across these workloads, I think that's what we're saying going forward, and really what the change is just that lapping of, I think, a bit of the catch up from a year ago, and your right will continue to do that through H2. Thanks, Brent. Operator, next question, please.
The next question comes from the line of Mark Mortler with Bernstein Research. Please proceed.
下一个问题来自伯恩斯坦研究的Mark Mortler。请继续。
Thank you very much for taking the question and congrats on the quarter. Amy, capbox moved up significantly Q over Q over Q in year over year, and it's increasing moving forward. Can you give us some color? Is it physical data centers? Is this predominantly servers? Is it predominantly AI driven? How should we think about the useful life of them? Then quickly for Satya, can you give us some, where we status on the general availability of the full co-pilot development stack, and how long it's taking clients and partners to build co-pilots? Thanks.
Well, I start on the capbox question, Satya, an alternative over to you. You know, Mark, really, first of all, both in Q4 and then talking about Q1, the acceleration is really quite broad. It's both on both the data centers and the physical basis, plus CPUs and GPUs and networking equipment. Think of it in a broad sense as opposed to a narrow sense. So it's overall increases of acceleration of overall capacity. And I think if you look back over really FY23, you wouldn't have seen some of the pace on normal, what I would say, capacity ads, even for the normal Azure workload. So you're seeing both accelerations and normal Azure workloads plus some of the AI workloads is partially the reason. So it's why I do comment quite often that it's both overall commercial cloud demand and building out capacity for AI. It's both.
Yeah, I think just for perspective, I think it's sort of always good to think about it, where we have about 111 commercial cloud business growing at 22% year over year. And then you had a capex growth, which is around the same number 23, 24%. So it's some sense sort of replacement capital plus some new capital that is going to drive new growth. So that's, I think, the scale and if you're good about that structure of overall growth rates and how it translates into future TAM opportunity for us. And to your other question on how all this translates into project starts effectively, the co-part of stack is available today on Azure. So we have everything from Azure AI tool chain where you can use obviously Azure OpenAI or even you can use open models from llama and other hunky face models. You have all the fabric and all of our operational data stores for what is one of the most useful patterns around generative AI is what is called retrieval augmented generation, which is you take the data that you have in the data stores, use it in a prompt to generate completions, summaries, what have you. And so that's something that we've seen a lot of in the co-pilot are fundamentally orchestrations of that. And so we have all of these services available. We see what the thing that's fascinating is when you use something like Power Virtual Agent, you have a low code, no code tool to build effectively these AI products or full-fledged co-pilots like we've built. And all the underlying primitives for that are available on Azure. The tool chain is available on Azure and the speed with which customers are able to deploy them, ISVs are able to build them is pretty impressive. Thank you. I appreciate it. Thanks Mark. Operator, next question please.
The next question comes from the line of cash rangan with Goldman Sachs. Please proceed.
下一个问题来自高盛的现金·拉冈,请继续。
Hi. Thank you very much. Congratulations on the quarter. If I could, I just wanted to get you a touch, shift the discussion away from Cogs and the CapEx to more of the top line outlook. It looks like Azure growth rate is definitely starting to stabilize and generative AI contribution to Azure is the measurably improving quarter recorder and optimization in a broader sense is also starting to settle down. Where does this leave with the company's outlook for Azure growth rate in the future quarters? Are we at a point where we've bottomed out and we could start to see some acceleration due to the trends we discussed? And also we take the super set of Microsoft Cloud. When you throw in the new pricing for Co-Pilot, it certainly looks like the Tams are opening up in a pretty significant way. So when you take that broader length that 21, 22% growth rate that Satya and Amy referred to, what could be the outlook? Could we be too optimistic and entertaining in hopes of some kind of acceleration in the years ahead? Or how do you think about the outlook on the top line? Thank you so much.
Sure. Cash, thanks for the question. So maybe I'll start and then Amy you can add. I think we do think about what's the long term dam here? I mean, you heard me talk about this as a percentage of GDP, what's going to be tax spend. If you believe that, let's say, the 5% of GDP is going to go to 10% or GDP, maybe that gets accelerated because of the AI wave. Then the question is how much of that goes to the various parts of our commercial cloud and then how competitive are we in each layer?
So if you sort of break it down, you talked about how Microsoft 365, we think of this Co-Pilot as a third villain. We had the creation tools, we then had all the communication and collaboration services and we think the AI Co-Pilot is a third pillar. So we're excited about it. Amy talked about how we want to get it out first and part of this preview and then in the second half of the next fiscal year, we'll start getting some of the real revenue signal from it. So we're looking forward to it, but we think of it long term as a third pillar like we thought about something like say, teams or SharePoint back in the day or what have you.
Then Azure, the way I think about it is we still are whatever. Inning two or inning three or even the cloud migration, especially if you view it, whether by industry moves to the cloud, segment moves to the cloud, as well as country adoption of the cloud. So there's still early innings of the cloud migration itself, so there's a lot there still and then on top of that, there's this complete new world of AI driving a set of new workloads. So we think of that again being pretty expansive from a tab opportunity and we'll play it out.
So but at the same time, as we are a $110 billion commercial cloud that has grown in 20s and so therefore we do hit a lot of large numbers, but that said, we do think that this is a business that can have sustained high growth, which is something that we're excited about.
And I think the only thing, Cash I would add, is I think in some ways what we're really pointing to is there's a process here. We see the demand signal is quite strong. It remains strong. I'm thrilled with all the product announcements we've made. I'm thrilled with them moving to pre-view and then moving to GA. They absolutely are expansive in terms of addressable market. They reach new budget pools. It's almost the way I talk about it a lot in terms of how CIOs or CFOs that I talk to think about that investment. So a growing opportunity.
And as you know, we're focused on executing against that and then revenue is an outcome. But it certainly does require the demand signal requires the capital expense and then creates the opportunity. And that's why I think in some ways we're spending a little more time talking about some of that investment is because it is the demand signal. Awesome. Thank you so much. Thanks, Cash. Operator, next question please.
One last question comes from the line of Carl Kiersted with UBS. Please proceed. Okay, Greg, Amy, if I could double click a little bit on the exciting news around M365. Co-pilot is everybody on the line looks to layer that opportunity into our model. So I just wanted to get your views. Are there any guardrails you'd offer us to sort of keep us in line? Is there a degree of gross margin pressure in the office segment? In other words, is it a fairly cost-intensive new product that we should keep in mind? And also, could it pull along Azure in the sense that you need Azure AD and perhaps some of the other cyber security products? So a little color there might help everybody with their modeling exercise tonight in the coming weeks. Thanks, Carl.
You know, I think maybe I'll first start with the process we have when we release new products. And I absolutely understand we are excited to buy the demand signal, the customer reaction, really the request we're getting to be in the paid preview. It's all encouraging. As you know, last week we announced pricing. Then we'll continue to work through the paid preview process, get good feedback. Then we'll announce the general availability date. Then we'll get to the GA date. Then we'll, of course, be able to sell it and then recognize revenue. And that is why I continue to say that I am just as excited as everyone else about this. And it should be more H2 weighted. And we've, I think, given you some sizing opportunities. And I think I would use all that. But I do think this is really about pacing. And of course, we've still got to get our security co-pilot and some of the dynamics workloads priced and released and will continue to work toward that.
And of course, I think one of the things that people often, I think, overlook is, and something I mentioned it briefly when you go back to the pool along Azure. I think in many ways, lots of these AI products pull along Azure because it's not just the AI solution services that you need to build an app. And so it's less about Microsoft 365 pulling it along or any one co-pilot. It's that when you're building these, it requires data and it requires the AI services. So you'll see them pull both core Azure and AI Azure along with them. And I think that's an important, important thing that you want to do as well. Yeah.
And if I could just add to what Amy said, the platform effect here is really all about the extensibility of the co-pilots. You saw, you see that today when people build applications in teams that are built on power apps and those power apps happen to use something like SQL DB or Azure. That's like a classic line of business extension. So you'll see the same thing. When I have a co-pilot plugin, that plugin uses Azure AI, Azure Meters, Azure Data Sources, Azure Semantic Search. So you'll see, obviously, a pull through not only on the identity or security layer, but in the core path services of Azure plus the co-pilot extensibility in M365. Terrific. Thank you. Thank you. Thanks, Carl. Operator, next question, please.
如果我可以补充一下Amy说的,这里的平台效应主要体现在合作伙伴的可扩展性上。当人们在构建基于Power Apps的团队应用程序时,往往会使用到SQL DB或Azure等技术。这就是一种经典的业务扩展方式。因此,当我使用Co-pilot插件时,该插件会使用到Azure AI、Azure Meters、Azure Data Sources和Azure Semantic Search等技术。因此,显然不仅在身份验证或安全层面上会有收入,还会在Azure核心路径服务以及M365中的Co-pilot扩展性上有收入。非常好。谢谢。谢谢。谢谢,Carl。运营商,请继续下一个问题。
The next question comes from the line of Mark Murphy with JP Morgan. Please proceed. Yes. Thank you very much. Sancha. There's so much evidence now that a GitHub co-pilot is boosting developer productivity by 40 to 50 percent or more. And it's resulting in higher quality code. Do you envision a similar level of productivity boost for the Microsoft 365 co-pilot or the security co-pilot or sales co-pilot? In other words, can every room in the house be remodeled to a similar extent such that that value proposition is pretty elevated across the entire stack? Yeah.
I, you know, Judson all talk would love you for having used his metaphor of remodeling every room of the house with AI because you're absolutely right. I mean, that's the opportunity we see. I think what you also referencing is now there's good empirical evidence and data around the GitHub co-pilot and the productivity stats around it. And we're actively working on that for M365 co-pilot. Also for things like the role-based ones like sales co-pilot or service co-pilot, we see these business processes having very high productivity gains. And so, yes, over the course of the year, we will have all about evidence. And I think at the end of the day, as Amy's referenced, every CFO and CIO is also going to take a look at this.
I do think for the first time, or rather, I do think people are going to look at how can they complement their op-ex spend with essentially these co-pilots in order to drive more efficiency and quite frankly, even reduce the burden and drudgery of work on their op-ex and their people and so on. So therefore, I think you're going to see all of that translated into productivity stats and we're looking forward to getting that day out. Thank you very much. Next Mark, operator, next question please.
The next question comes from the line of Alex Zuchen with Wolf Research. Please proceed. Hey guys, thanks for taking the question. I guess maybe just a multi-part. You mentioned a couple of times that, you know, with the AI workload adoption that you're seeing on Azure, it's starting to look maybe a little bit different from an incremental share gain perspective versus previous generations. Can you maybe expand upon that? How should that drive for Azure consumption, particularly as we get through the year? And do you see a scenario where either, you know, the combination of lapping the optimization at with plus the AI contribution, plus this incremental tailwind that you're seeing around the workloads actually does drive a re-exceleration in Azure, particularly in the second half, when you're going to start to see some of those things kick in? Yeah, I mean, the thing that we are both seeing and excited about is both the new workloads.
I mean, if you think about Azure, we have grown Azure over the years, you know, coming from, you know, from behind. And here we are as a strong number two in the lead when it comes to these new workloads. So for example, we are seeing new no goals. Customers who may have used to not have a cloud for most of what they do are for the first time sort of starting to use Azure for some of the new AI workloads. We also have even customers who've used multiple clouds, who've used dots for a class of sort of workloads, also start new projects when it's transferred in data and AI, which they were using other clouds for. So what I think you will see us is more share gains, more global gains, reducing our tacky then. And so those are the things of points of leverage, but at the same time, we're not a small business anymore in any of these things. These are, you know, we're significantly, we have significant scale. And so yes, we celebrate. That's why we're even giving you the visibility or one point of it showing up this quarter, a couple of points showing up next quarter and there's a material numbers. And so that's kind of what I think we'll track and I think Amy mentioned it because we want, you know, there are two parts to even the AI, right? There's the models themselves with our partnership with OpenAI that that's sort of one type of spend on a compute and the other is much more revenue driven, right? Which is we will track the inference cost to the revenue and demand and you're already seeing both of those crap.
Thank you. Operator, we have a tough one last question. Our last question will come from the line of Kirk Maternity with Evercore ISI. Please proceed. Yeah, thanks for squeezing, man. Satya, I was wondering if you could expand a little bit on your comments on data platforms. I think we've heard a lot over the last quarter or so about if you don't have a data strategy. It's tough to have an AI strategy. Can you just talk about where customers are right now in that journey to have a more, I guess, thoughtful data strategy? And what does that mean in terms of their ability to adopt AI services, meaning do they have to sort of tackle the data issue first before they can really take advantage of all the AI services or how should we think about that sort of juxtaposition? Thanks.
Sure. Thank you, Al, for the question. Yes, absolutely. I think having your data in particular in the cloud is sort of key to how you can take advantage of essentially these new AI reasoning engines to complement, I'll call it, your databases because these AI engines are not databases, but they can reason over your data. And to help you then get more insights, more completions, more predictions, more summaries and what have you. So those are the things when we say co-pilot design pattern, that's sort of what that design pattern is all about. The thing that perhaps even in the last quarter, and I have that in my remarks, it's most exciting, is how with Microsoft fabric, especially for the analytics workloads, we brought together compute, storage, governance with a very disruptive business model. I mean, to give you a flavor for it, right, so you have your data in an Azure data lake, you can bring SQL compute to it, you can bring Spark to it, you can bring Azure AI or Azure Open AI to it, right? So the fact is you have storage separated from all these compute meters and they're all interchangeable, right? So you don't have to buy each of these separately. That's the disruptive business model. So I feel that we are well, you know, Microsoft is very well positioned with the way our data architecture lays out our business model around data and how people will plan to use data with AI services. So that's kind of what I mean by getting your data state in order, and it's just not getting data state in order, but you have to have it structured such that you can have the flexibility that allows you to exercise the data and compute in combinations that make sense with this new age.
当然。谢谢你的问题,Al。是的,绝对是这样的。我认为,将数据存储在云中对于如何充分利用这些新的人工智能推理引擎来补充你的数据库非常关键,因为这些人工智能引擎并不是数据库,但它们可以对你的数据进行推理。然后帮助你获得更多的洞察、更多的完成度、更多的预测、更多的摘要等等。所以当我们说共同设计模式时,这就是这种设计模式的关键。也许在最近的一季度里,我在我的发言中提到的最令人兴奋的事情,就是如何通过微软材料特别是在分析工作负载方面,将计算、存储、治理与一种非常颠覆性的商业模式结合起来。比如,你可以在 Azure 数据湖中存储你的数据,可以将 SQL 计算引擎引入其中,可以引入 Spark,可以引入 Azure AI 或 Azure Open AI 进行各种计算。因此,事实上,你可以将存储与所有这些计算部件分开,它们都可以互相替换。所以你不需要单独购买每一项。这就是颠覆性的商业模式。我觉得我们在数据架构、围绕数据的商业模式以及人们计划如何使用带有AI服务的数据方面都处于非常有利的位置。所以这就是我所说的整理好你的数据状态,并不仅仅是整理好数据状态,而是你必须将其组织得如此有结构性,以便在新时代中能够灵活运用数据和计算的组合方式。
Thanks, Kirk. 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 too. Thank you all. Thank you, everyone. This concludes today's conference. You may disconnect your lines at this time. Thank you for your participation.