Transcripts
NICE Ltd.'s management answers for the business every quarter. These are the exchanges that explain it best — verbatim, from the call transcripts preserved in Sources. Each link opens the full transcript at that page in a new tab.
Q1 FY2026 Earnings Call — Q1 FY2026
The AI pivot in full: management is deliberately trading near-term CX revenue for locked-in, long-term AI commitments — and explains why. · Open the full transcript →
How NICE makes money: the 'digital front door' that monetizes every consumer interaction — voice, digital or AI.
Scott Russell (Chief Executive Officer): What's often missed in the discussion around AI is the volume of interactions are rapidly expanding. Today, time is the single biggest constraint limiting how often a consumer engages with a brand. As personal AI removes that friction, IT engagement will further increase and NICE sits directly in the flow of those interactions. We are the digital front door. Most enterprise software companies monetize internal users and some monetize only the AI flows. We monetize all consumer interactions with a brand, be it voice, digital or AI, and that digital front door has no ceiling
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Capital allocation: an active, adviser-led exploration to divest the non-CX assets (financial crime, public safety).
Scott Russell (Chief Executive Officer): Before passing it over to Beth, let me briefly address our broader portfolio. We spend a lot of time talking about our CX business, but it's important to remember we also have two other great businesses in financial crime and compliance and public safety, both of which provide mission critical solutions and have strong market positions. As I've shared, we regularly review our portfolio to ensure we are maximizing value for our shareholders. We've been working with advisers over the past several months to run a process for our non CX assets. I want to emphasise that this is an exploration. No decisions have been made and we continue to see value in these businesses
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The quarter's core trade, with a worked example: discount legacy products now to lock in a multi-year AI commitment.
Scott Russell (Chief Executive Officer), responding to Sidi Panagarahi (Mizuho): But in that context we're making deliberate commercial decisions to lock in that AI business rather than let it go to a broader market evaluation. This gives us a number of benefits, it shortens the AI sales cycle, it leads to more AI revenues on a faster timeline and it obviously has shown up in our backlog that we've reflected. But what it also then highlights is some near term variability on existing products and timing differences between the AI bookings that convert to revenue. But our view on this is this is the right trade. We are managing the business for long term growth […] There was a customer that came to us that had a large financial services customer where we secured a broader commitment to deploy Cognigy for automation. We added an additional year on the total term and to get the deal done faster, we provided attractive pricing on some of our existing CCX products. The AI deployment will begin contributing to revenue later on in the year and more significantly in 2027, but the discount is felt right away. So as a result there's a near term impact on ARR, but a clear visibility to growth above the pre renewal ARR as the AI bookings convert to revenue
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Q4 & Full Year FY2025 Earnings Call — Q4 FY2025
The full-year 2025 scorecard and the clearest rebuttal of the AI-displacement bear case, from the new CEO. · Open the full transcript →
The base business: seats and interactions still growing, with only ~40% of contact centers migrated to cloud — a long runway.
Scott Russell (Chief Executive Officer): None of this would be possible without a healthy core CCaaS business. We have the leading platform in a growing and healthy market. Seats and interactions on CXone continued to grow in 2025. And importantly, only about 40% of contact centers have migrated to CCaaS today, leaving a large and durable on-premise to cloud migration opportunity ahead. We are delivering real transformative value to our customers, and this is translating into strong performance in our core CCaaS business. In Q4, cloud revenue grew 14% year-over-year and excluding NiCE Cognigy, grew 12%.
Q4 was a record quarter for new cloud ACV bookings, including and excluding Cognigy, driving cloud backlog growth to 25%, including Cognigy and 22% excluding it
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The bear thesis stated bluntly — 'the market is scared of AI displacing your business' — and management's disconnect argument.
Rishi Jaluria (RBC Capital Markets); Scott Russell (Chief Executive Officer): it’s pretty clear that the market is scared of AI disrupting and displacing your business. Clearly, that’s spread to all of software and is something that we’ve all been dealing with really in a big way over the past couple of months. You made it clear over the past couple of years and at Analyst Day and now today that you’re viewing AI as a real tailwind for NiCE and something that could pick up accelerating momentum in kind of the coming years. Can you maybe help us understand where is the disconnect? Where do you think that the market is wrong […] there is clearly a disconnect between the fears in the market and the reality of what we’re seeing in the business. So let me try to break it down, if I can. First of all, there’s a concern about competition from new AI point coming at the expense of those competitors. Actually, it’s a beneficiary. If you look at NiCE’s business, 13% of our cloud revenue is AI. We’ve already proven that we’ve embedded it into our core platform. We’re able to deliver durable value to our customers
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The moat in one answer: NICE rents the frontier models but wraps them in proprietary interaction data and CX specialization.
Scott Russell (Chief Executive Officer): we leverage those models. We have partnerships with those AI players that we can use those models in our stack, but then we’ve built a purposebuilt AI around customer engagement data. And so we differentiate by our specialization. Those models are really powerful, but then we process it on those billions of interactions, the specific learning loops, the optimization. So the specialization around the customer intent resolution, the compliance-heavy workflows, the guardrails that enterprise have, the real-time voice orchestration.
So the reality is it’s not replacing, it’s enabling a more powerful and differentiated outcome
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Do advanced-AI customers cut seats? 'No plans to reduce agents' — the data doesn't support seat erosion; growth on both levers.
Arjun Bhatia (William Blair); Scott Russell (Chief Executive Officer): what are you seeing in terms of seat dynamics there […] So rather than elimination of roles, they’re using it as an efficiency driver so their people can be driving more value-added activities. And so they had no plans, no plans to reduce agents in the short to midterm. Now that’s not to say that as we continue to build out our platform that we don’t see the opportunity to be able to reduce the human capacity as the AI picks up. But we — that’s why in these complex environments because remember, CX is tough. you’ve got to have accuracy of data at high volume, the guardrails, the domain expertise and ultimately, it’s got to fulfill a great consumer experience for the brand. And so what they don’t want is a point solution that gives them a bit of automation, but then increases the complexity when it has to interoperate with their AI agents.
And I think we’ve really seized upon this. What we see at the top end is that customers value a unified customer engagement platform. We call it the front door. So whether it’s voice, whether it’s digital, whether it’s AI or what is most likely to be a combination of all three at the same time, real time at enterprises at the top end, they need a platform that can give that in a scalable, reliable way. And obviously, we differentiate on that basis. So it’s interesting about the, I guess, the perceived concerns that you’re going to see this erosion of the seats. We — the data does not support that assertion, but we’re growing on both levers, and we continue to expect to do so
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Q4 & Full Year FY2024 Earnings Call — Q4 FY2024
Scott Russell's first call as CEO: the leadership handover, the capital-allocation math, and a candid admission on deployment lag. · Open the full transcript →
The handover on record: Russell's first words as CEO, acknowledging Barak Eilam and framing the AI-leadership claim at 3.5bn interactions.
Scott Russell (Chief Executive Officer): I’m excited to be talking to you today for the first time as CEO of NICE. Before we dive into today’s call, I want to take a moment to acknowledge Barak’s strong leadership that brought NICE to where it is today. It is an honor to lead a company renowned for its relentless innovation, customer centricity and operational excellence. I joined NICE for its undisputed leadership and for its immense potential for growth. With a strong financial foundation, industry leading solutions and 9,000 plus dedicated NICEs all around the world, we are poised to drive NICE into the next era of growth. On today’s call, I want to focus on two key themes. First, NICE is the undisputed AI leader in customer service […] We’re improving customer experiences for hundreds of millions of people worldwide, managing over 3.5 billion AI interactions annually while driving tangible value for our clients, simply put we are leading this market and we are doing so decisively
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Capital allocation laid out: 27% free-cash-flow margin, a $500M buyback, $1.2bn net cash — and a plan to repay debt at maturity.
Beth Gaspich (Chief Financial Officer): For the full year 2024, we have generated free cash flow of $733 million, surpassing our free cash flow target of $700 million set out in Q2, yielding an exceptional free cash flow margin of 27%, a level unrivaled in our industry […] In Q4, we repurchased shares totaling $95 million and $369 million for the full year 2024, an increase of 28% year-over-year. We will continue executing our current $500 million share repurchase program throughout this year. Total cash and investments at the end of December totaled $1.622 billion. Our debt stands at $450 million resulting in net cash and investments of $1.2 billion. Our debt matures in mid-September of this year. At this time, our expectation is to repay the debt on maturity. Therefore, we expect less investment income to be generated in the second half of 2025
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Guidance philosophy: why the 12% cloud guide is deliberately prudent — no repeat seasonality, slower enterprise ramps, LiveVox drag.
Beth Gaspich (Chief Financial Officer), responding to Meta Marshall (Morgan Stanley): There are several factors that we have taken into consideration as we’ve set this guidance.
I think, first of all, even going into last quarter, we had highlighted that we expected and we were seeing some positive seasonality in the fourth quarter, which played out. But certainly, seasonality is not something that you can always be confident around and so we have taken that into consideration and have not assumed that we will have the same level of seasonality in the back half of this year given that it’s still early in the year. The second thing that I would call out and that Scott also highlighted in his remarks earlier today, is that we do know that we are seeing more and more large enterprise deals, and these deals are taking us longer to deploy. In the fourth quarter, we actually saw an improvement in the deployment time. But of course, it’s something that we’re continuing to be focused on and need to be confident that that will be a recurring event […] we’ve known that the LiveVox growth rate does come with a bit of headwind. And of course, we are – have that factored into the guidance as well. So, I would say all of those are a combination of things that were considered as we thought about the guidance of the 12% on cloud for this year
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The bear case met head-on: yes, fewer human agents over time — but a unified voice-plus-AI platform is the durable position.
Scott Russell (Chief Executive Officer), responding to Arjun Bhatia (William Blair): I do believe firmly that we will see over time a reduction in human agents, an increase of AI agents. But the combination and the interactability is going to be the key. Rather than you go to one channel or the other, you need to have a unified platform to be able to fulfill a consumer who frankly doesn’t really care about how who they interact
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Q3 FY2024 Earnings Call — Q3 FY2024
Barak Eilam's farewell call — the transition announcement and his sharpest defense of NICE against the AI-cannibalization fear. · Open the full transcript →
The thesis in one image: inverting the 90%-human/10%-tech cost mix, with billions of proprietary interactions as the barrier.
Barak Eilam (Chief Executive Officer): Historically, the customer service equation had been heavily skewed with 90% reliance on human resources and nearly 10% on technological solutions. Today, we possess the tools to invert this equation, bringing us closer than ever to fully automated customer service that meets both precision and scale. Nevertheless, the journey towards authentic automation and customer service is through its challenges, with significant barriers to domain expertise, only those vendors fortified with deep resources and robust foundation in customer service, including agents, workloads and knowledge will successfully make this leap. At NICE, we possess all of that in an unrivaled advantage. IMEC CRM and generic big tech, we manage billions of customer service interactions every year, providing us exclusive untethered access to customer intent at any given time, the most important ingredient for customer service automation
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The succession, announced: Eilam's last call, with Scott Russell taking over January 1 and a continuity message.
Barak Eilam (Chief Executive Officer): as this will be my last earnings call, I want to express my gratitude to each of you for the trust and support you have shown me over the years. Leading this company has been one of the greatest honors of my life. Together with 9,000 NICErs, we have built NICE into a multibillion dollar global category leader. I have soul confidence in NICE’s continued leadership due to the strengths of our team, the resilience of our vision and the many opportunities ahead.
I will continue to drive the company through the end of the year and ensure a smooth transition to Scott Russell, who will assume the CEO position on January 1st
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Why AI isn't a like-for-like cloud swap: it re-engineers workflows and removes agents — slower to land, but permanent.
Barak Eilam (Chief Executive Officer), responding to Rishi Jaluria (RBC Capital Markets): the market of customer service automation is not — it’s not just about the move from on-prem to cloud, that’s the easy part, if you would like.
It is about, as I said before, reengineering workflows, taking out agents from the workflows and embedding AI instead. So that’s from customers take a bit longer. But when it happens, it happens in a massive scale and it’s going to be there forever, because it’s going to replace before, a significant backlog that we have for CXone. With that change of mix, it gives us optimism about the future
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Q3 FY2023 Earnings Call — Q3 FY2023
Where NICE first laid out its generative-AI-for-CX playbook — the origin of the whole thesis, well before the CEO transition. · Open the full transcript →
AI reframed as an incremental TAM and a tailwind that pulls forward cloud migration in a market only 20% penetrated.
Barak Eilam (Chief Executive Officer): AI is now a meaningful growth engine by itself with a significant incremental TAM.
This powerful growth engine is substantiated by the fact that in Q3, AI was included in 80% of our new enterprise CX deals and was the fuel that drove those deals. Additionally, year to date our CXone AI bookings increased 163% and digital engagement bookings grew 78% compared to the same period last year. The CX market is experiencing a shift in demand dynamics that is a tailwind for NICE. This favorable shift is unleashing a positive ripple effect. It starts with heightened demand for CX AI. This in turn is driving an accelerated demand for platformization because for AI to be effective in the complex world of CX, there is a resolute prerequisite to converge all CX assets into a single platform. This mandates faster decision making for cloud adoption and migration in a market that is still only 20% penetrated in the cloud
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How AI monetizes, concretely: deals where AI doubled or 6x'd ACV and beat rivals who 'could only deliver slideware.'
Barak Eilam (Chief Executive Officer): In a seven-digit ACV deal with one of the largest cruise ship operators, digital engagement and CX AI doubled the size of the deal. AI was the main determining factor for our win over multiple competitors that could only deliver slideware. In another seven-digit ACV deal, this one with a large BPO, AI increased the deal by 6x.
This company, like many other BPOs, is expanding its AI capabilities to transform their business model by using more automation. The incumbent cloud provider which we replaced could not deliver true CX AI capabilities. We signed a seven-digit ACV deal with a major European broadband provider, and this deal was 100% AI
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The product model explained: Copilot and Autopilot as a continuum, and why a unified platform breaks 20 years of automation failures.
Meta Marshall (Morgan Stanley); Barak Eilam (Chief Executive Officer): most vendors and companies talk about automation, it’s either/or. It’s either you have something with an agent that is fully manual, done by the agent with some technology, or fully automated tasks. The approach we have been taking with AI, and that’s the reason that we have launched Copilot and Autopilot together, the Enlighten Copilot and Autopilot, is the ability to move in this continuum and deliver a continuous experience for customers […] The ability with CXone, that is a unified platform that has all the convergence assets and provides AI for both agents and for full automation, that’s what allows you to break this 20-some years of failures in automation and bring it to life
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Competitive dynamics named: why NICE out-wins Genesys — incumbent lock-in, a debt-laden rival, and the digital/AI investment gap.
Pat Walravens (JMP Securities); Barak Eilam (Chief Executive Officer): If you look at the Gartner magic quadrant, you and Genesis are the two clear leaders in the space. Can you walk us through what the competitive dynamics are like with them? When do you usually win and when you do usually not win? How does it work […] We have a superior winning rate over Genesis. In many cases Genesis and others are the incumbents, and they are, because of their financial considerations, trying to hold onto their customer base and maintenance base. That’s number one. Second, I think given once again the financial considerations, like very high debt and the way that the company is being held in terms of ownership, I think they are very short term oriented in terms of their investment in the long term viability of the company for customers. I think that gives us superiority. Our investments specifically in expanding into digital engagement and AI is something that we haven’t seen there, and it gives us these days a significant advantage
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The cannibalization fear, first posed: AI lets firms avoid adding labor rather than cut agents — with 20% cloud penetration still to run.
Michael Funk (Bank of America); Barak Eilam (Chief Executive Officer): we don’t see right now, whether it’s good or bad, we don’t see a reduction in [indiscernible] agent industry right now, not to speak about the fact that with 20% penetration of cloud, even if there will be some reduction in number of agents, we still have a very, very long way to go in winning market share on the agents. What we see is that a lot of companies are dealing–it’s almost like avoiding adding more labor because the number of interactions, digital or not, are increasing exponentially and becoming more complicated, and that’s where they are trying to deploy AI in order to avoid the additional labor costs
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More calls
Q2 FY2025 Earnings Call — Q2 FY2025 · 30 pages · Go here for the Cognigy acquisition rationale — NICE's move into agentic AI and the CXone Mpower build-out under Scott Russell's first full year. · Open →
Q1 FY2025 Earnings Call — Q1 FY2025 · 32 pages · Russell's first full quarter as CEO: the early read on his priorities and the CXone Mpower ramp before the Cognigy deal. · Open →
Q2 FY2024 Earnings Call — Q2 FY2024 · 30 pages · Barak Eilam's mid-2024 platform update on CXone Mpower — the AI story at full stride the quarter before the succession was announced. · Open →
Q1 FY2024 Earnings Call — Q1 FY2024 · 27 pages · The start of the AI-bookings acceleration year, with Eilam quantifying how AI was attaching to and enlarging enterprise CX deals. · Open →
Q4 & Full Year FY2023 Earnings Call — Q4 FY2023 · 33 pages · The FY2023 annual: the full-year framing of the CXone platform and Enlighten AI strategy that the Q3 2023 call introduced. · Open →
Q2 FY2021 Earnings Call — Q2 FY2021 · 30 pages · The pre-AI baseline: the pandemic-era CXone cloud-migration story that defined NICE's growth before generative AI reframed it. · Open →