서비스나우(NOW) 2026년 3분기 실적 발표: AI ACV 목표 17억 달러로 상향

서비스나우(NYSE: NOW)가 기업용 AI 제품의 신속한 도입 및 소비 확대를 강조하는 가운데 2026년 3분기 전반적인 성장을 기록했다고 발표했다. 경영진은 2026년 들어 두 번째로 연말 AI ACV 목표를 상향 조정했으며, 연간 잉여현금흐름 마진 가이던스도 인상했다.

핵심 요약

• 구독 매출은 39억 8,800만 달러를 기록해 고정 환율 기준 전년 동기 대비 20.5% 증가했으며, 회사 가이던스 상단을 50베이시스 포인트 상회했다.
• 현재 잔여 이행 의무(cRPO)는 총 136억 5,000만 달러로, 고정 환율 기준 21% 증가했다. 총 RPO는 22.5% 증가한 297억 달러를 기록했다.
• AI 신규 순 ACV는 전년 동기 대비 65% 증가했다. 서비스나우는 연초에 설정했던 10억 달러 목표 대비, 2026년 연말 AI ACV 목표를 기존 15억 달러에서 최소 17억 달러 이상으로 상향 조정했다.
• Non-GAAP 영업이익률은 32.5%로 가이던스를 150베이시스 포인트 상회했다. 해당 분기 잉여현금흐름 마진은 20%를 기록했다.
• 경영진은 연간 잉여현금흐름 마진 목표를 100베이시스 포인트 상향한 36%로 제시했으며, 구독 매출 가이던스 중간값을 157억 8,500만 달러로 인상했다.
• 4분기 cRPO 증가율은 고정 환율 기준 18.5%로 둔화될 것으로 예상되며, 이는 3분기에 반영된 조기 갱신, 공공 부문 온프레미스 계약 비중 증가, T4C 규정에 따라 제외된 수주 잔고 영향이 일부 반영된 결과다.

주요 재무 데이터

사업 및 영업 실적

서비스나우 플랫폼 전반에서 AI 도입이 확대되었다. 100만 달러를 초과하는 AI 계약 건수는 전년 동기 대비 4.5배 증가했으며, 최소 5개 이상의 AI 제품을 포함하는 계약은 8.5배 이상 늘어났다.

실제 운영 환경에서의 소비도 가속화되었다. 연초 이후 에이전틱 AI 소비는 전년 동기 대비 13배 이상 증가했고, 액션 패브릭(Action Fabric) 어시스트 소비는 전월 대비 500% 급증했다. 경영진은 구동 지원을 받은 고객이 첫 5주 동안 AI를 2배 빠르게 도입했으며 어시스트 소비와 제품 사용량도 더 높았다고 밝혔다.

컨트롤 타워(Control Tower)의 신규 순 ACV는 전년 동기 대비 6배 이상 성장했다. 엠플로이웍스(EmployeeWorks)는 3분기 미만의 기간에 ACV 1억 달러를 달성했다. 서비스나우는 오픈AI, 구글, 옥타, 마이크로소프트 애저 AI 파운드리 등과의 연동 및 파트너십을 바탕으로 컨트롤 타워를 기업용 AI 에이전트를 위한 거버넌스, 가시성 및 보안 계층으로 자리매김했다.

워크플로 전반에 걸쳐 수요가 광범위하게 유지되었다. 자산 관리(Asset Management)는 ACV 10억 달러를 돌파하며 상위 20개 계약 중 13개에 포함되었다. 보안 및 리스크 제품은 상위 20개 계약 중 16개에 포함되었고, CRM 및 산업별 워크플로는 13개 계약에 포함되었다. CRM AI 신규 순 ACV는 전분기 대비 및 전년 동기 대비 모두 3배 증가했다.

비즈니스 및 소비자 서비스 부문이 산업 성장을 이끌었으며, 신규 순 ACV는 3배 이상 증가했다. 기술 부문 신규 순 ACV는 거의 40% 성장했다. 100만 달러를 초과하는 미국 연방 정부 계약은 전년 동기 대비 30% 이상 증가했다.

서비스나우는 자사 AI 제품을 통해 내부 생산성을 지속해서 향상시키고 있다. 전체 영업 및 마케팅 인력은 감소했으나, 경영진은 실적 목표를 부여받은 영업 인력이 두 자릿수 비율로 증가했다고 밝혔다. 회사는 또한 자동화를 통해 지원 및 운영 직무를 줄이면서 AI 엔지니어링 인재를 늘리고 있다.

경영진 가이던스

리스크 및 관전 포인트

4분기 cRPO 가이던스에는 몇 가지 시점 차이 및 회계적 영향이 포함되어 있다. 강력한 조기 갱신이 3분기 cRPO 실적의 절반가량을 차지했으나 이는 4분기 수요를 앞당겨 반영한 결과다. 공공 부문 수요에 따른 온프레미스 비중 증가로 4분기 cRPO 성장률이 약 25베이시스 포인트 감소할 것으로 예상되지만, 경영진은 해당 계약들이 매출 성장에 기여할 것이라고 밝혔다.

전년 동기 대비 구독 수주 잔고 성장의 약 50베이시스 포인트는 T4C 규정으로 인해 4분기 cRPO에서 제외된다. 경영진은 해당 수주 잔고가 향후 매출로 인식될 것임을 강조했다.

서비스나우는 AI 도입을 가속화하기 위해 일부 대형 AI 계약에 구축 전문 지식 지원을 포함하고 있다. 회계 처리상 계약 가치의 일부가 구독 매출에서 전문 서비스 매출로 전환되면서, 보고되는 구독 매출이 3분기에 약 25베이시스 포인트, 4분기에는 50베이시스 포인트 감소하는 효과가 발생한다. 경영진은 이러한 지원이 영구적인 서비스가 아닌 초기 도입 주기를 돕기 위한 목적이라고 밝혔다.

AI 수익화는 고객을 라이선스 및 초기 구축 단계에서 실제 운영 환경에서의 사용으로 전환시키는 데 달려 있다. 경영진은 보다 빠른 구현과 더 높은 토큰 사용량이 향후 성장을 지원할 것으로 예상하고 있지만, 사용량 기반 모델은 여전히 초기 단계라고 설명했다.

애널리스트 Q&A 주요 내용

• 하이브리드 가격 정책: 경영진은 고객들이 예측 가능한 사용자 수 기반 구독과 사용량 기반 가격 정책의 조합을 지속해서 선호하고 있다고 말했다. 현재 고객들이 성과 기반 가격 정책을 요구하지는 않고 있다. 빌 맥더멋(Bill McDermott)은 고객의 도입 및 가치 실현 수준에 따라 사용량 증가가 서비스나우의 사용자당 매출을 최대 5배까지 늘릴 기회가 될 수 있다고 밝혔다.
• AI 및 매출 가속화: 경영진은 시스템 구축이 실제 운영 단계로 진입함에 따라 특히 2027년 이후 매출 성장에 강력한 AI 사용량이 더욱 명확히 반영될 것으로 예상하고 있다. 회사는 2030년까지 AI가 ACV의 30%를 차지하도록 하겠다는 목표를 재확인했다.
• 구축 투자: 서비스나우는 지원을 받은 고객 사이에서 도입 속도가 2배 빠르게 나타나는 것을 확인한 후 일부 대형 AI 거래에 구축 리소스를 배정하고 있다. 또한 구축 주기를 단축하기 위해 AI 구축 에이전트도 활용되고 있다.
• AI 잠식 효과: 경영진은 초기 도입 고객이 일반적으로 1~2개의 유스케이스로 시작해 사용량을 3~4배 확대하고 추가 워크플로를 도입한다고 언급했다. 일부 고객은 AI를 실제 운영 단계로 전환한 후 더 높은 토큰 할당량으로 재계약을 체결하고 있다.
• 컨트롤 타워 도입: 경영진은 고객들이 서비스나우 및 서드파티 AI 시스템 전반에 대해 탐색, 거버넌스, 런타임 제어 및 에이전트 셧다운 기능을 제공한다는 점에서 AI를 실제 운영에 투입하기 전 통상 컨트롤 타워를 먼저 구축한다고 설명했다.
• 액션 패브릭 수익화: 챗GPT와 같은 외부 인터페이스가 서비스나우에서 작업을 시작할 수 있지만, 내부적인 실행 과정에서 서비스나우 어시스트가 소비된다. 경영진은 이를 통해 사용량 기반 수익화를 포기하지 않고도 플랫폼 접근성을 확대할 수 있다고 언급했다.

실적 발표 컨퍼런스 콜 전문

전체 실적 발표 컨퍼런스 콜 녹취록

경영진 발표

Operator

Hello, everyone. Thank you for joining us, and welcome to the Third Quarter 2026 ServiceNow Earnings Conference Call. [Operator Instructions]

I will now hand the conference over to Darren Yip, Senior Vice President, Investor Relations and Market Insights. Darren, please go ahead.

Darren Yip

Good afternoon, and thank you for joining ServiceNow's Third Quarter 2026 Earnings Conference Call. Joining me are Bill McDermott, our Chairman and Chief Executive Officer; Gina Mastantuono, our President and Chief Financial Officer; and Amit Zavery, President, Chief Product Officer and Chief Operating Officer.

During today's call, we will review our third quarter 2026 results and discuss our guidance for the fourth quarter and full year 2026. Before we get started, we want to emphasize that the information discussed on this call, including our guidance, is based on information as of today and contains forward-looking statements that involve risks, uncertainties and assumptions. We undertake no duty or obligation to update such statements as a result of new information or future events. Please refer to today's earnings press release and our SEC filings, including our most recent 10-Q and 10-K, for factors that may cause actual results to differ materially from our forward-looking statements. We'd also like to point out that we present non-GAAP measures in addition to and not as a substitute for financial measures calculated in accordance with GAAP. Unless otherwise noted, all financial measures and related growth rates we discuss today are non-GAAP except for revenues, remaining performance obligations, or RPO, current RPO and cash and investments. To see the reconciliation between these non-GAAP and GAAP measures, please refer to today's earnings press release and investor presentation, which are both posted on our website at investor.servicenow.com. A replay of today's call will also be posted on our website.

With that, I'll turn the call over to Bill.

William McDermott

Thank you, Darren, and thank you, everyone, for joining today's call. For more than 7 years now, I've said ServiceNow is a one-of-one company, one of one. As you'll hear, these Q3 results represent a trifecta moment for ServiceNow, quarterly results beating expectations across the board again, significantly accelerating AI performance at the largest quantum yet, a hybrid business model shifting more to consumption.

So let's do the standard results first. Subscription revenue growth was 20.5% in constant currency, 50 basis points above the high end of our guidance. cRPO was 21% in constant currency, 100 basis points above our guidance. Operating margin was 32.5%, 150 basis points above our guidance. Free cash flow margin was 20%. We had 19 deals greater than $5 million net new ACV in Q3, up 135% year-over-year. We have a $30 billion remaining performance obligation growing at 23% year-over-year. That's growth at scale.

To my trifecta point, here is where the Q3 print gets even more dynamic. For many quarters now, we've been aggressively building the consumption engine into the business model. Our ambition is to be the governed execution layer for enterprise AI with multiple commercialization paths, all driven by customer choice. Q3 is the banner achievement to date. The strategy is working. We have tangible AI monetization. AI, net new ACV was 65% year-over-year growth in Q3. Control Tower, net new ACV grew over 6x year-over-year. Our agentic front door EmployeeWorks reached $100 million ACV in less than three quarters. The number of $1 million-plus AI deals grew 4.5x year-over-year. Year-to-date, agentic AI consumption in production is up 13x year-over-year. If you look at the consumption of Action Fabric assists alone, that number is up 500% month-over-month. This is not only the direction of our customers, this is where they want us to go. It's the right direction for long-term shareholder value creation as well. As a reminder, we began the year with a $1 billion AI target by year-end. We raised that target to $1.5 billion at Financial Analyst Day in May. Today, we are raising that target again this time to $1.7 billion plus by year-end. And as you've come to know me pretty well by now, I've challenged the team to even surpass that number.

Overall, the company is now full speed in our Q4, and Gina will give you the guide shortly. But I don't want you to wait too long. She will raise. As everyone on this call knows, ServiceNow always closes strong. We have no intention of delivering anything less than the best year in our history.

Let's spend a few minutes on what remains a very complex environment for the enterprise. We hosted our biannual CEO event with more than 125 CEOs a few weeks ago. Here's what I heard. All of them are investing in the intelligence revolution. They've spent billions on it so far. They all went through the token maxing phase. Here's the big lesson they all learned. All of the vibe slop flops, sprawl and lack of integration are even greater risks in the AI world. When I spoke to them about ServiceNow's role as the Super Intelligence Control Tower for business reinvention, their endorsement was universal. Our SICT, Super Intelligence Control Tower, brings together the right model for the right workload to solve the right problem and unlock the right opportunity for our customers. businesses in every industry need a harness for enterprise AI. This is more than orchestration, governance or security alone. It's the nexus of all three categories coming together.

We're now in the rules and rails phase of enterprise intelligence. 94% of enterprises report gaps in AI visibility. 88% can't even distinguish personal AI accounts from corporate instances. ServiceNow's Control Tower discovers and inventories the entire AI estate. As stories of rogue agents persist, ServiceNow controls what agents can do. That's why we introduced AI Passport to issue every agent an official attested record based on context in our platform. Who owns the agent? What's it allowed to do? What data can it access? How much risk exposure is it allowed to take? This enables the most capable kill switch available in the enterprise today. When our Control Tower revokes a passport, NVIDIA Century stops honoring it and the agent stops at the infrastructure layer. We are scaling that capacity everywhere. Our Control Tower signals Okta, Microsoft Azure AI Foundry and Google Gemini enterprise agent platform, so they can cut off the agent's access wherever it runs. ServiceNow already sits at the operational core of the world's largest enterprises, the CMDB, the Workflow Data Fabric, 20-plus years of embedded operational intelligence and context across IT, security and risk.

With Armis and Veza, we can now pinpoint specific known vulnerabilities against the cybersecurity landscape that has irreversibly changed. We call this Shift Zero. It moves security from remediation to prevention from human speed to machine speed and from blind to govern. The average enterprise runs more than 70 security tools. ServiceNow offers a single govern system with proof of what acted, why and who is accountable. This is not an incremental improvement to a reactive model. It is the replacement to consolidate a fragmented market. It is the gateway to autonomous defense. That's why we're the fastest-growing cybersecurity company at scale and why the growth is accelerating so rapidly.

When you're operating in the super intelligence era, the pace of innovation has to keep pace with the growing size of the opportunity. I'm really proud of what the ServiceNow team has delivered. Our Level 1 service desk specialist resolves incidents 85% faster than human agents. This is now in full autonomous production across customers of varying size and sector from a global automotive leader to a leading enterprise technology company. Our AIOps specialist has already reduced median time to resolution by 40% within the first month. We now have over 100 customers actively innovating with our AI specialists, AIOps, HRSD and CRM specialists are expected to become generally available in Q4.

As enterprises rethink the mandate of their CRM systems, ServiceNow is leading the way. The old CRM was built for sales teams. The new one has to work across your entire business. That's a different product. That's a different architecture. And that's why we're seeing customers rip and replace not just add alongside. Conversational voice AI is the next big leap in connecting the front office to the entire enterprise. The customer conversation is where the work starts. The platform has to carry it through every system and workflow behind it. We're redefining how enterprises engage with customers. Our tuck-in of Sweep adds deep expertise in rapid agentic deployments, giving us another gear to accelerate while improving customer outcomes. And one year after we brought Logik AI into ServiceNow, we've been named the leader and customer favorite in The Forrester Wave for Configure, Price, and Quote solutions. We see a similar change in gravity for the employee experience.

For the Fortune 500,000, we introduced Flow. There are many enterprises that want leading domain expertise but aren't ready for formalized ITSM. Flow fills the gap, a new conversational service desk that is self-serve and consumption build. A customer that signs up for Flow today can begin using Flow today. That's a big reason it's off to a lightning fast start with businesses and government agencies around the world. ServiceNow EmployeeWorks continues to be a fast growth machine. This gives enterprises one place to search, knowledge, get things done and route work across IT, HR, finance and procurement. It also becomes the destination for employees to build AI assistants, agents and automations, all secured by enterprise guardrails. This is only scratching the surface of the groundbreaking innovation on the ServiceNow platform. Even the best platform won't deliver for enterprises alone. ServiceNow Control Tower Alliance is a new ecosystem of leading companies in AI, cloud infrastructure, security, governance and token management who will help customers adopt trusted enterprise AI safely at scale. Founding partners include Anthropic, AWS, Cisco, HiddenLayer, Kong, Okta, OpenAI, WitnessAI and Zenity.

Today, ServiceNow announced an expanded partnership with OpenAI to help enterprises move seamlessly from AI reasoning to governed action. The partnership expansion starts with a new ServiceNow plug-in for ChatGPT, enabled by Action Fabric. We aim to develop security and risk solutions powered by OpenAI cyber models, a Codex integration and AI workflow factory and voice-driven governance for ServiceNow's Super Intelligence Control Tower. We have very big plans for this partnership, especially in cybersecurity. We expanded the partnership between Google Gemini Enterprise and ServiceNow Action Fabric. Gemini Enterprise provides the conversational front end, while ServiceNow provides the governed industry workflow execution. Our partnership with INRY, a Cprime company, shows what happens when a partner builds on ServiceNow before they sell it. INRY went live on EmployeeWorks in six weeks. That's the new bar for time to value rather than the exception. They didn't sell the solution until they lived on it themselves. Median submission time is now down 60% completion rates, 97% ServiceNow and Aramco Digital established an agreement to standardize and govern digital workflows across Aramco's affiliates, subsidiaries and joint ventures in more than 50 countries, and the list goes on and on.

I could end on the countless industry accolades we've earned three new Gartner Magic Quadrants, two new Forrester Waves, IDC reports and many more. Instead, I'll close with the ultimate measure of a defining enterprise technology company, our customers. A major Asian telecommunications leader with over 130,000 employees and contractors became the first enterprise in the region to deploy ServiceNow Autonomous Workforce for a zero-touch help desk in IT and HR. This will handle 70,000 IT requests and 6,000 HR inquiries annually. The Salvation Army, Australia is using ServiceNow AI specialists to give frontline employees more than 5,000 hours back so far, time that is redirected towards supporting community members that are in need. Germany's professional soccer league expanded with ServiceNow as its official CRM partner. It's about one month, only one month. They've already consolidated fan services from seven digital channels into a single ServiceNow platform, resolving 89% of inquiries at first contact, cutting previous case volumes in half.

When a global logistics leader shipment, operations were drawing terrible manual work processes across siloed systems that was soul crushing. ServiceNow built them an AI partner, the shipment issue analyzer. The result is nearly 100,000 hours saved annually, resolution from three days to less than 30 minutes. Jack Henry & Associates, one of the leading financial technology companies in the U.S. chose ServiceNow CRM to modernize its CRM capabilities with AI that automates routine tasks and strengthens post-sale operations. At a consumer finance company, spotting risk meant sending it nowhere, multiple channels, unclear ownership, legacy systems swallowing signals.

Our applied AI FDE team fully deployed engineers, built them the AI Risk front door, a two-layer agent architecture targeting 85% accuracy. It compressed signal to routed case time by more than 85%. Nestle has started to leverage our Control Tower to scale AI with strong governance across its operations. They are progressively deploying agentic marketing operations across 60 countries with the potential to reduce marketing campaign coordination by 25%. And together, we continue to drive innovation across all key business functions. InterContinental Hotels Group, one of the world's largest hospitality and travel services companies is using Veza from ServiceNow to govern who and what can access its systems so it can safely scale across its 7,000 hotels worldwide. These amazing enterprises are putting AI to work for people. They're doing it with ServiceNow on our AI platform with the security of our Super Intelligence Control Tower. We see clear momentum in AI monetization driven by our organic innovation, our pricing and our intelligent packaging.

Our security business is differentiated with the potential to be even bigger in a few years than all of ServiceNow is today. We're strong across industries, including the public sector, which once again delivered in its biggest quarter of the year.

We're not compute constrained. We don't have capital constraints. We're activating a hybrid business model. As you'll hear in the raised full year guidance, we're a company going from the rule of 56 to the rule of 57 on our way to the rule of 60. That, of course, is free cash flow plus revenue growth. We have six businesses that have now surpassed more than $1 billion run rate with a TAM that continues to multiply and expand. What other businesses are there that can even contemplate these fundamentals? And it's only getting better as the cost of intelligence falls, the tailwind for software is strengthening. We are a one-of-one growth company. We have deep incumbency in the enterprise with proven global distribution. We're honoring the principle and the promise that the world works with ServiceNow.

I really appreciate your belief and support. I look forward to your questions. And now I'll turn things over to our President and Chief Financial Officer, Gina Mastantuono. Gina, over to you.

Gina Mastantuono

Thank you, Bill. We delivered another strong quarter, exceeding the high end of our guidance across every top line and profitability metric. Q3's results reinforce that ServiceNow is becoming even more strategic as enterprises move from experimenting with AI to deploying it at scale. Customers want the productivity and growth that come with super intelligence, but they also need the visibility and security to do so with confidence. With the ServiceNow AI platform at the operational core of the world's largest enterprises, we are perfectly positioned to help customers put AI to work across their business, govern every agent in action and translate intelligence into secure, measurable outcomes.

Q3 subscription revenues were $3.988 billion, growing 20.5% year-over-year in constant currency and 50 basis points above the high end of our guidance. RPO ended the quarter at $29.7 billion, representing 22.5% year-over-year constant currency growth as average customer contract duration continues to expand. Current RPO was $13.65 billion, representing 21% year-over-year constant currency growth, a 100 basis point beat versus our guidance. Across our workflows, we saw widespread demand. Technology workflows had 54 deals over $1 million, including 6 over $5 million. Demand for our core workflows remains robust as every new AI asset and agent introduces greater requirements to manage, monitor, secure and govern the enterprise. ITSM was in 11 of our top 20 deals, ITOM was in 9 of our top 20 deals with 14 deals over $1 million. Asset Management crossed $1 billion in ACV this quarter and was in 13 of our top 20 deals with 11 deals over $1 million, and our Security and Risk solutions were in 16 of our top 20 deals with 13 deals over $1 million. CRM and industry workflows maintained its rapid growth trajectory and we were in 13 of our top 20 deals with $1 million-plus deals surging to 28 in the quarter. Core business workflows had 15 deals in the top 20 with 24 deals over $1 million, and Creator workflows had 19 deals in the top 20 with 13 over $1 million. From an industry perspective, business and consumer services led the way with net new ACV growing over 3x year-over-year. Technology had robust growth as well at nearly 40%. Our U.S. Federal business also delivered an excellent quarter with deals over $1 million growing over 30% year-over-year. We expect federal net new ACV growth to accelerate further in Q4 as agencies increasingly see ServiceNow as the AI operating system for the enterprise.

In Q3, our renewal rate remained best-in-class at 98%, reflecting the enduring value we deliver to our customers. We ended the quarter with 680 customers generating more than $5 million in ACV, with 31 additional customers surpassing $20 million in ACV over the past year. As our largest customers continue to scale with ServiceNow, they're expanding their platform adoption with 19 of our top 20 deals, including six or more products. The momentum in our AI solutions continues to build. We continue to exceed our AI expectations for the year with AI net new ACV growing 65% year-over-year in Q3, allowing us to raise our AI ACV target for the second time this year from $1 billion at the start of the year to now $1.7 billion by the end of 2026. In Q3, the number of AI deals over $1 million grew 4.5x year-over-year. We're also seeing customers embrace AI more broadly across their enterprises with deals spanning five or more AI products increasing over 8.5x year-over-year.

AI adoption is pervasive across the platform, evident in every workflow. ITSM AI deal volume increased nearly 80% year-over-year. HRSD AI deal volume nearly doubled. Newer AI solutions saw deal volume grow even faster with ITOM growing more than 7x and portfolio management more than 6.5x. We also saw strong net new ACV momentum with security and risk AI growing more than 4.5x year-over-year. App Engine AI more than 4x and Asset Management AI nearly tripling. CRM AI had a standout quarter as well with net new ACV tripling both quarter-over-quarter and year-over-year.

Just as importantly, customers are moving rapidly from adoption to production. As Bill mentioned, our year-to-date consumption of agentic AI in production is up more than 13x year-over-year. We're passionate about helping customers realize value faster. With the help of our forward deployed engineers, we've seen an accelerated time to value of 80% year-to-date. For example, one European customer went live in just 12 weeks and is on track to consume nearly 1.5 million in annual assist. When we provide deployment expertise as we've seen AI adoption move twice as fast in just the first five weeks of involvement.

Turning to profitability. Non-GAAP operating margin was 32.5%, 150 basis points above our guidance, driven by the revenue outperformance, efficiency gains and timing of spend. From a productivity standpoint, our internal use of AI is now generating more than $1 billion in annualized value, more than double the level we exited 2025. Free cash flow margin was 20%. Together, these results continue to demonstrate our ability to drive a strong balance of world-class growth, profitability and shareholder value.

Moving to our outlook. For 2026, we're raising our subscription revenues by $15 million at the midpoint from $15.77 billion to $15.785 billion, representing 21% year-over-year growth on a constant currency basis. We are raising our full year free cash flow margin target by 100 basis points from 35% to 36%, driven by lower CapEx spend. Against the backdrop of growing investor scrutiny around AI-related infrastructure spend and leverage, ServiceNow is positioned to capture the AI opportunity while reducing its CapEx and expanding free cash flow margins. We continue to expect subscription gross margin of 81% and operating margin of 31.5%, up 50 basis points year-over-year. Our execution has enabled us to fully offset the dilution from acquisitions this year and still deliver meaningful margin expansion across both operating and free cash flow margins, reinforcing the strength and scalability of our business model. Finally, we expect GAAP diluted weighted average outstanding shares of 1.04 billion. For Q4, we expect subscription revenues between $4.245 billion and $4.255 billion, representing 21.5% year-over-year growth on a constant currency basis. We expect cRPO growth of 18.5% on a constant currency basis. This reflects a higher mix of on-prem deals and excludes a rising balance of T4C backlog, both of which contribute to revenue but not cRPO. We expect an operating margin of 32%, and we expect 1.05 billion GAAP diluted weighted average outstanding shares for the quarter.

In closing, Q3 was another strong quarter of execution and accelerating AI adoption. What excites us even more is the scale of the opportunity still in front of us. From SI Control Tower and Autonomous Security to EmployeeWorks and our growing portfolio of AI specialists, we're helping customers operationalize AI across the enterprise, turning innovation into measurable business outcomes and ROI. Just as important, we're helping customers accelerate adoption without losing control. This is where ServiceNow is differentiated. By combining workflow, data, AI and governance on a single platform, we can help customers manage the complexity of the AI era while unlocking its full potential. This gives us confidence in the substantial growth opportunity ahead and our ability to create long-term value for customers and shareholders.

Bill and I would like to thank our employees around the world for their continued focus, execution and commitment. Their ability to innovate while operating with discipline is what enables us to consistently deliver quarter after quarter. With that, I'll open it up for Q&A.

Operator

[Operator Instructions] Your first question comes from the line of Brad Zelnick from Deutsche Bank.

질의응답

Brad Zelnick

Bill, we increasingly hear about AI-native applications companies implementing outcome or value-based pricing. And I was just curious to what extent you're seeing customers asking you to go down this path? I know you have a perfect mix of subscription and consumption, but it seems like the market is moving in this direction.

And maybe for Gina, I imagine this is something you've contemplated internally. What would the impact of something like this be on the financial model?

William McDermott

Brad, thank you. We have the best of both worlds in the sense that the customer likes the predictability of the seat-based pricing model for their budgeting purposes, people that run Fortune 2000 companies run on budget. So we give them that. And also, we're driving consumption. And the idea is simple: get the customer live fast. And once they're live, the token economics take off, whereby we have a chance to improve our revenue per user by a factor of 5x. And that's only because the customer derives substantially more value than that. So it's kind of a win-win.

I would also point out that with the announcement of Flow, the native AI stand-alone autonomous service desk type of provider are no longer required as we have that now shipping it globally. So you can buy it online and you can go live in the same day. So that will be yet another net new ACV engine for the company and obviously, a problem for the competition. So again, best of both worlds.

One thing that really is interesting with the Super Intelligence Control Tower, you should know a 500% growth month-over-month in terms of the AI action that's activated in that Super Intelligence control tower, coupled with a 13x improvement in AI consumption. So clearly, we're benefiting from our current model because we're growing 21% year-over-year. And this hockey stick formation has yet to be fully realized. And so I think that is yet another exciting point for the investors to contemplate.

Gina Mastantuono

And then, Brad, from the impact on the financial model, as Bill said, our customers are very focused and quite happy with the hybrid model that we have today and are not asking at all for outcome pricing. And so you would imagine if the day were to change that we'd be ready and waiting for that. But as of now, our customers are very, very happy with the hybrid model, as Bill talked about.

Operator

Your next question comes from the line of Alex Zukin from Wolfe Research.

Aleksandr Zukin

Congrats on another strong performance. I guess maybe, Bill or Gina, for you, there was some nuance on kind of some of the impacts that you're seeing on the numbers and the guide, particularly for Q4 on cRPO and subscription revenue. Maybe to the extent that, again, all of the metrics that you're citing sound like you're expanding your growth opportunity, expanding your growth potential. Obviously, the stock is down pretty meaningfully after market on some of the, I think, the 4Q guide. But any constant kind of comments on your confidence in growth going kind of either staying high or going higher, particularly even for next year as some of these nuances normalize and they don't necessarily impact subscription revenue as much as maybe the cRPO deceleration would imply?

Gina Mastantuono

Thank you, Alex, and I appreciate the question. And yes, so first and foremost, we remain as confident as ever in our growth opportunities, as I hope came through very clearly in both Bill and my prepared remarks. We had strong beats across the board, revenue, cRPO, op margin, free cash flow. We raised free cash flow margin.

On the revenue beat, what I'd say is that while we actually passed through half of the beat all of the FX and half of the beat that we saw in Q3 to the full year guide. With respect to why we didn't raise by the entire beat, there's a couple of things. And so number one, with our scale, the speed is really strong, and we feel really good about that. But to help our customers realize value even faster at scale, we've made the strategic decision to invest in their success by including delivery expertise with our platform solutions to accelerate AI deployments for select large deals.

From an accounting perspective only, the value of those deployments are carved out as subscription revenue, and they're included in professional services rather than subscription revenue. Notably, upon renewal of those contracts, the value of those services return to subscription revenue. So it provides a structural acceleration to growth. And it's not huge, about 25 bps in Q3 and expecting it to have approximately 50 bps in Q4, which is the only reason why we didn't pass through the full beat in Q3 into the rest of the year. So subscription revenue, feel really, really strong about that.

With respect to cRPO, we saw strong early renewals in Q3 that contributed about half of the beat in Q3. Now that has a negative impact in Q4 because we pulled those deals out of Q4 and into Q3. So that growth is already in Q3. A couple of other things to factor in. Strong public sector demand is driving higher on-prem mix in Q4, which is actually a great result. But that is driving a 25% -- sorry, 25 basis points headwind in Q4 cRPO, but will absolutely hit revenue and the part of revenue. The other thing is those incremental investments in deployment expertise, a small modest RPO headwind also does not impact revenue in the long term.

And just more generally, I'd note, and we've talked about this before, right, cRPO is a very nuanced accounting metric, and it doesn't necessarily capture all of the momentum in the business. A good example for that is there's approximately 50 basis points of year-over-year subscription backlog growth that's excluded from cRPO in Q4 due to T4C provisions, but absolutely will be included in revenue. And so while cRPO is a good indicator of next year's revenue, it's certainly not perfect. And the momentum you're hearing in the business, especially around all of the AI amazing things will absolutely translate to strong revenue growth in 2027 and beyond. And at the end of the day, we feel as confident, if not more confident today in our growth opportunities than ever before.

Operator

Your next question comes from the line of Adam Wood from Morgan Stanley.

Sanjit Singh

This is Sanjit Singh for Adam. I wanted to just zoom out a little bit and just talk about the momentum you're seeing on the AI ACV side. Gina as you noted, you've raised the guidance twice now to $1.7 billion in revenue. At the same time, if we look at just the broad story of cRPO, we could call it stable, maybe on an organic basis, modestly decelerating, but sort of generally stable. So my high-level question, Bill, is just when do you think the AI momentum will start to translate to overall top line acceleration, cRPO acceleration? And with respect to that, in terms of the go-to-market motion, you guys have made a lot of pricing and packaging changes. You guys just noted that you're doubling down on delivery. Do you feel you have the sort of AI and sales go-to-market motion right? Or is there room for improvement on that front?

William McDermott

Thank you very much, Adam. First of all, let me just be extremely clear. The business has never been in better shape than it is right now. And I think one of the luxuries that you have when you have the Super Intelligence Control Tower and every partner, that's a hyperscaler or a lab company, these are great companies from NVIDIA all the way through to the labs are teaming up with ServiceNow and realize the importance of coming through our Super Intelligence control tower to drive enterprise value for their customers also. And that's where the network effect is really starting to kick in to extra high gear. So I want you to please register that as a significant momentum advantage that we are experiencing. And also, we are very cognizant of the importance of getting these customers live fast. They have to get value out of AI now. And so as Gina said, we've made the necessary decisions strategically to get them live fast, invest in doing that, so ultimately, they can not only derive the benefit from the license, but they can also activate the tokens to create the tokenomics that our shareholders are looking for and also that their shareholders are looking for. So that virtuous cycle is kicking into high gear. And as I mentioned, we have a 500% month-over-month increase in the activity on the Super Intelligence Control Tower and a 13x improvement on the AI consumption itself. So the strategy is working, and yet we're still in the early days.

You will absolutely see in some now, but also in 2027, as Gina said, the true acceleration because it's all about the customer getting these implementations and getting these tokens activated in their workflows or their business processes. But we have made a decision as a company and our ecosystem to do that because that's where the long-term value creation exists for us, for the shareholders and most importantly, for the customer. So I feel great about it.

Gina Mastantuono

And then -- and I'll just take you back to Financial Analyst Day, Adam, when we talked about by 2030, our AI business would be 30% of our ACV. And so we're absolutely on path and trajectory to get there, if not actually ahead of schedule, as you can tell by our continued raise of AI, but we are well on our path.

Operator

Your next question comes from the line of Samik Chatterjee from JPMorgan.

Samik Chatterjee

Maybe if I can just go back to the strategic decision to invest with your customers to accelerate AI adoption with them. It sounds like you did some of that investment in Q3 already. Any early data points in terms of those engagements that is driving the confidence about sort of expansion on AI adoption from them? And what you -- what are sort of the ideal metrics you've been focusing on to measure that outcome there with the customer?

Gina Mastantuono

Absolutely. And as you can imagine, this market for AI is moving very quickly, and so are we. And we noticed that customers receiving the support saw AI adoption progress twice as fast during just the first five weeks of that support with multiples higher of assist consumption and product usage versus those without support. So that assist consumption and product usage are the metrics that we're looking at. And when we're seeing accelerating customer AI consumption, as you would expect, it unlocks a significantly larger monetization opportunity, making the ROI very compelling. Therefore, we're reacting by building more of these deployment teams into our forecast because we're seeing such incredible results.

William McDermott

And I would add to that, Samik, just one very interesting move that we made, which was the acquisition of Sweep. And as you know, one of the big reasons why customers sometimes have a more difficult time changing from one CRM system to another is they have a long implementation cycle, and nobody wants to have a long implementation cycle, especially when it relates to taking care of their customers. And so now we're able to accelerate the deployment times for CRM to -- instead of talking years, we're talking a month. We're talking like days, 30 days, 60 days for a serious company of serious scale. This same logic also applies to the enterprise super intelligence control tower and all of the workflow processes on ITSM as an example. In 24 hours, we activated that.

So what we're looking at here is a Super Intelligence Control Tower, a completely open ecosystem feeding into the rules and the rails of the way the enterprise runs, connecting the fabric of the data and the processes, and we're going to do this at record pace. So it's going to drive implementation cycles to record speeds, which is necessary to get the tokens fully consumed, activated and generating revenue.

As I always want to remind everybody in our company and otherwise, there's no other company growing at the rule of 57 in the enterprise software industry. If you could find them, please let me know. I want to talk to them. I want to get the best practices with 21% growth on revenue and 36% growth on free cash flow, all while building the most superior super intelligent control tower that the world has ever known. So I want to meet that company.

Operator

Your next question comes from the line of Peter Weed at Bernstein.

Peter Weed

I think one of the impressive things you've been doing is investing internally in productivity optimization. And I think we're seeing that come through pretty significantly in some of the headcount numbers. Can you help us understand how that's playing out because it looks like a lot of it is actually focused in maybe front office product and sales and marketing. And how are you able to get that productivity in these areas to the level that you want while this is also what will be driving revenue looking forward?

Gina Mastantuono

Thanks, Peter. So, first and foremost, so, so excited to say that we've crossed $1 billion in efficiency gains through our own internal use of AI and the lion's share of that is coming from our own use of our own products Now on Now. So it's just incredible. And yes, that efficiency gains means that we're able to not hire as many people. That being said, we're absolutely hiring folks in the right spots. And so while you might see total sales and marketing headcount come down, actually quota-bearing heads are up double digits, while sales operations, for example, is down significantly.

And very similar in the R&D organization. As you would imagine, real increases in AI engineers in top talent, but there's lots of efficiency gains that we're driving through AI. That means that we don't have to hire as many support people, for example, or overhead in the R&D organization. And so we're absolutely still hiring across the board in both go-to-market and R&D. We're hiring in the right places, but that's being offset by incredible efficiencies that allow us to bring those more operational roles, those headcount roles down significantly.

William McDermott

And I would build just to share with you, Peter, a couple of things that are very interesting. We have our own EmployeeWorks solution in the company. And so if you think about our great go-to-market machine, which is the best in the industry by far, they all have a coach, and that happens to be EmployeeWorks. And so it is autonomously activating all of the controls that are necessary to build great customer relationships and bring all of our innovation to the customer. This is being done autonomously, not that they have to even request it. They're also getting the insight pushed to them to make them more productive on the front line. Think about it. If you go back 3 years, that was like 100 people in the sales operations department moving around information on e-mail. that is now completely autonomous. It's a sales coach in the pocket. It's driving enormous productivity. And just to be clear, we're actually significantly improving and increasing feet on the street. And while our ultimate headcount has actually slightly declined, which is a gorgeous situation, as Gina pointed out, the 90% response time to customer service or employee service inquiries is now done autonomously in a way that is so much easier for people to deal with, and it gives them an improvement in their life experience here at ServiceNow.

Finally, while the headcount may remain consistent, we continue to strengthen the workforce. So we continue to bring in net new talent in AI on the innovation side and on the quota-bearing side, we have a higher standard for the kind of individuals we need to take us from here to there. So while the headcount is steady, the innovation and the improvement of the human capital condition has only increased substantially. So that's a very important thing that sometimes doesn't show up in the numbers.

Operator

Your next question is from the line of Arjun Bhatia from William Blair.

Arjun Bhatia

I'll add my congrats on a good Q3. I want to go back to an earlier question. Bill, one of the most important sort of biggest debates and questions that we get from investors is whether AI is cannibalistic or accretive to software companies. And we're kind of seeing this in your results where the AI adoption is increasing and accelerating and you're seeing raises on that guidance and then some of the other metrics are sort of not yet inflecting.

And I'm just curious, and I'm sure there's a timing mismatch there. But when you look at your early adopters and your most advanced AI customers, what are you seeing in terms of how their overall spend with ServiceNow is changing as they've adopted Now Assist and your AI capabilities?

William McDermott

Yes. There's no doubt. First of all, I really remind people, including at the CEO meeting that I referenced, the world GDP rests on super intelligence and this intelligence -- really this intelligence generation that we'll look back on 10 years from now and say that was a renaissance moment. And so all the business cases that are tied to return on invested capital from AI are a factor 10x greater than anything that preceded AI solutions.

So this is really like unbelievable stuff. I mean, just take ourselves. Gina talks about $1 billion, $1 billion is a lot. $1 billion in a year is a lot of money. And what's unbelievable in terms of the operational performance of the company, we continue to grow the company at a pace consistent on a much larger base than we were growing before we saved $1 billion. So less people doing extraordinary things, enjoying their work much more because the autonomy of the AI platform has taken the pressure off of them so they could do the work that really matters. So we're one example. But the business cases, and we review them all the time with Amit and Paul, they have a 10x improvement over anything that we've seen before.

And Amit, feel free to comment on it.

Amit Zavery

Yes. Arjun, on your question about the use cases and how we're seeing that adoption grow. Many of the customers typically start with one or two use cases where we help them or they decide like incident management or triaging or resolution planning. And once they see that go live, we've seen that go up to 3x, 4x usage, but also new use cases emerge because now they're seeing it in the production environment. So that's really been the growth. I mean if you see a lot of the customers we talked about in last quarter as well as now, they're re-upping their licenses and the new renewals with higher tokens because they're seeing the adoption go up as well.

We have customers like Nestle, for example, they went live in six weeks with this marketing optimization, agentic workflow. And now they're unleashing that in 90 different countries, and they're starting to now use it across the world to get value out of one time the use case they build and grow it significantly across the world as well.

So those are kind of the common patterns we see. And then we're seeing this autonomous IT, for example, and then with that kind of use case going into AIOps, CRM optimization and other industry industrial use cases as well. So very, very easy to kind of start seeing that growth come through.

Operator

Your next question comes from the line of Samad Samana from Jefferies.

Samad Samana

So, Gina, I just wanted to ask about the decision to have resources for large customers to accelerate AI deployment. I'm curious, I guess, when was that decision made? And I'm just curious how we should think about modeling that? Is this something that will be broadly available? Is it something that's on a customer-by-customer basis? And then is there anything that we need to make a consideration for given the rev rec on the margin side as well? Maybe just help unpack that for us and what you're assuming in the forward guidance given -- I know it's not the biggest thing that happened, but it did sway, I think, the guidance a little bit. And so I think investors would get some more comfort if we had more color on how to unpack that.

Gina Mastantuono

Yes, perfect. So yes, as I said earlier, Samad, the market for AI is moving very quickly, and so are we. So when we saw the real inflection with customers that were receiving the support, we decided to double down because that consumption flywheel is going to drive significant incremental growth, right? And so deployment times are rapidly improving, and these services are being, as you say, provided for a select number of large deals, and we talked about it's in the number, 25 bps in Q3 and 50 bps in Q4. And we don't expect to include this delivery expertise over the long term. As with other new technology adoption cycles, it's really about optimizing the first wave of adopters and leveraging the know-how in a repeatable and scalable way. And as the AI gets better, the ability to autonomously deploy gets easier and easier. And so we don't expect this to be long term, but we absolutely believe it's the right thing for the business and is going to continue to help drive that consumption flywheel.

Amit Zavery

I'll add on this, Mr. Samad. We're also building -- using AI implementation agents. So what -- when we help our customers go live, a lot of the heavy lifting is done by AI. This is really identifying the early use cases and make it simple for them to go live with it. And once they get 1 or 2 of these live, then the volume goes up very quickly. So this is not a long-term engagement. It's very short, but we get that value quickly for customers.

Operator

Your next question comes from the line of Kirk Materne from Evercore ISI.

S. Kirk Materne

Bill, I was just wondering on Control Tower. Obviously, everybody is getting ready to have to build an orchestration layer to take -- to sort of manage their agents at scale. Are they doing that now? Or are they waiting until they get more deployment in production? I was just wondering how you guys see that playing out where they're going to lay out sort of a baseline and then they can drive consumption once the Agentic population builds up. I was just wondering if you could give us some color on that front.

William McDermott

Yes, sure, sure. First, I'll just say big picture, the Super Intelligence Control Tower is basically redesigning what the enterprise visibility, governance and security posture is of these major corporations. And if you look at the partnerships we announced today across the board and especially OpenAI, it's clear that the best and smartest companies in the world realize that this Control Tower and activating that across rules and rails that are deterministic and companies rely on to run their business is a pretty important thing to do to grow their businesses.

So Amit can give you some color on exactly how we're driving this and the impact that it's having.

Amit Zavery

Yes. Thank you, Bill. So Kirk, usually, I think if you look at last year, the concerns many customers had when we speak to them is they had no idea of what's going on with AI, how many shadow projects are going on, what agents are doing. So Control Tower really resonated very well when we introduced it last year because we are kind of putting this in front of the AI deployments. This is really the governance, the trust and the safety layer, which gives you a lot of confidence and the ability to really have trust in the system. And as we have built out the discovery capabilities across multiple third-party AI systems out there, any kind of in-house build AI agents, you have one place to monitor, manage, including cost, but also really have the ability to kill any agents which should not be going and doing something which they're not allowed to.

So it's become a very strong part of a governance layer, but also the runtime layer. And this is where the difference comes in. So it's coming in first before AI goes in production. And the volume of usage just starts going up because as you start building out more AI as you get confidence, we are really helping them manage it. It's not about orchestration really. It's really the visibility, the control and the safety. And then we can orchestrate many things underneath the covers depending on what our systems customers might be using.

So this really upfront first investment customers are doing and unlocking a lot of value for us going forward. And it's built on our core competence we had with CMDB and the asset management and the introducing ability to do any kind of physical assets as well as physical AI and nonhuman identity in one place. So it really resonates and works very well for our customers if they want to really scale AI.

William McDermott

And if it helps you, an example might be think about AI adoption, unifying IT, audit, legal, risk and this single governance framework that Amit is discussing. Accenture has over 800,000 employees, I believe. And every single corporate function now is running on ServiceNow. So they use the Control Tower to govern nearly 900 ServiceNow native AI assets, and they measure the business outcomes across all of their departments. And what it's done for them is, like it's done for us, a substantial increase in productivity across the enterprise as they scale agentic AI.

I can also tell you about a global tech leader that's basically using the Super Intelligence Control Tower and their driver was Armis and Veza because they wanted to manage the identities of obviously, the people and the agents. But at the same time, they wanted to secure the operating technology environment of the company, networks, devices, critical infrastructure and so forth. and lower their cost to serve, drive their productivity and remediate things at machine speed. That's going to be a consistent theme that you're going to hear. And when you think about it, this particular company had about 80 different security tools, and that's pretty dangerous.

And I use Nestle as an example in my remarks, but they've expanded their footprint of ServiceNow through the prism of the Super Intelligence Control Tower, and they're running their governance across a very complex large global corporation and all of their operations are governed by the Super Intelligence Control Tower, and we're just getting started with them. So there's just so much in front of us, so much bandwidth that we bring to the customer. And the word is out there now. We're ready to roll.

Amit Zavery

I'll just add one thing, sorry, Bill. the idea that we can discover, but also the SecOps products we have built for many years, you're combining this ability to discover, preempt any kind of issues as well as proactively remediate in one platform. And that's when you combine this control tower with what we do in SecOps, Veza and Armis, suddenly you have a platform which completely has visibility, but also the ability to save you if something goes wrong.

Operator

Your next question comes from the line of Michael Turrin from Wells Fargo.

Michael Turrin

Bill, given it's early November, I'd just be curious to hear how you characterize the tone of overall IT budget discussions you're hearing, how ServiceNow specifically is positioned where Armis and some of the agentic offerings were talking about fit and just how that impacts where you focus the company, both into end of year and towards a successful '27.

William McDermott

Yes. Thank you very much for the question, Michael. Yes, I feel really great. The most important thing is strategic relevance. And that's what we have. We have a system of record that has been trusted for a couple of decades and the net new innovation from ServiceNow is truly breathtaking.

And what I see is solutions that don't matter or point solutions, they will get eliminated while strategically relevant platforms will not only do well, they'll do a lot better, especially if they're relevant in this era of super intelligence. So we are seeing our pipelines grow extremely well. The Super Intelligence Control Tower, Veza, Armis, Moveworks. I mean, in three quarters, you created $100 million in ACV. All these businesses are way ahead of what we had anticipated when we brought them into the family. So too is Logik AI. So what you're seeing is we're building lots of innovation, thanks to our great innovation machine led by Amit. We made the right strategic choices to complement what we were building and our customers really love it.

So our biggest opportunity right now is to get out there in front of the customer and make sure they understand because they're getting hit from all angles. But the one angle that is consistent everywhere is they want ROI now. And we're past the proof-of-concept phase. We're past experimentation phase, and we're past point solution or vibe coding or do-it-yourself phase. We're now in serious enterprise phase where it's all about get the job done, deliver real value. And this platform is one of a few that will do extraordinarily well now and in the future.

Operator

We have time for one more question. Your last question comes from the line of Mike Cikos at Needham.

Matthew Calitri

This is Matt Calitri on for Mike Cikos over at Needham. We wanted to ask on Action Fabric monetization, particularly with the OpenAI like partnership expansion announcement that came out with earnings tonight. What sort of spread are you seeing between early adopters that are moving with EmployeeWorks versus using external agents? And what are the monetization implications of this?

Amit Zavery

Sure, Matt. So I think our view always has been that we provide customer choice. customers should be able to use whatever tools they want to access capabilities in ServiceNow and be able to do actioning, which is where we have really great differentiator and capabilities. So with Action Fabric, what we've allowed customers to do is to go through MCP and A2A kind of interactions and build any interface they want. What we're doing with OpenAI is allowing ChatGPT as a way to interface into ServiceNow. But all of the work happens inside ServiceNow. It's just a call coming from ChatGPT. And then the work which we were doing typically through our user experience now happens through this interface, and we get full value for it from the monetization perspective because you're burning down assist for every work you'd ask ServiceNow to do. And that work is not able to be done anywhere else because we have the context, we have the ability to understand what you're trying to do and all the connectivity to all the third-party systems as well as the workflows, which are running already inside ServiceNow for any enterprise customers.

So we're just opening up the ability for any ways to access ServiceNow, and we get an opportunity to monetize this much more than we typically would have done by just providing our own interface. Of course, EmployeeWorks is also another option for customers to use, but the EmployeeWorks provide a lot more capabilities than ChatGPT can provide or Gemini Enterprise can provide because they're just a calling part of it. What we do with EmployeeWorks, we are doing a lot of the reasoning, the orchestration, the planning as well as providing specialized agents, which gives you, again, as an employee, a lot more capability than you would get typically from other third-party front doors.

So there's a lot of differentiation built in, in EmployeeWorks. But again, we do want allowing customers to use Action Fabric in another way to interface and still get value out of ServiceNow investment they made, and we continue to monetize, so we get ability to really grow our revenue through many, many mechanisms now. As the partnership with OpenAI is great. I mean I think there's a lot of capabilities we'll deliver with them from a skills perspective, but they're depending on us to really do the work, and that's where the value gets created.

William McDermott

And if you think about it, as Amit said, ServiceNow basically is the execution layer. And I believe we're the execution layer for the entire AI economy. And if you look at what's happening with the partnerships we announced today and many more to come, it's not just where the work gets done, but it's where every human and every agent in the enterprise is coming to get things done. And that's a large market. We're positioned at the center of it. And if you say, well, how should we know? Just keep in mind that Action Fabric has seen a 500% growth in assist in less than 30 days. So it's multiplying so, so quickly. And I think this represents a business model innovation that will be substantially larger in a very short period of time than the entirety of ServiceNow is today.

Operator

We have reached the end of the Q&A session, and this concludes today's call. Thank you for attending. You may now disconnect.