ITGartner, Inc.
AI adoption · Q1 2026 earnings call
Information TechnologyScaling
9
extracted from this call
3 / 5
operational, no hard numbers
Not disclosed
no breakout in this call
AI was discussed primarily as a major demand driver for Gartner's research and advisory services, with management positioning Gartner as the premier guide for enterprise leaders navigating AI adoption. AskGartner, Gartner's AI-powered research assistant, received notable attention with updates on engagement growth and a bi-weekly release cadence. Management also referenced internal AI use for operational efficiency and explicitly declined to pursue LLM distribution partnerships, citing incompatibility with Gartner's proactive advisory value proposition.
Hybrid
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76
stage: scaling · max spec: 3
0
no quantified disclosure
65
2 scopes
product_embeddedinternal_use
9 AI mentions from this call.
Extracted verbatim from the IT Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T3Prepared remarks· CEO· Product-embedded AI
“we've added the ability to create downloadable PowerPoint presentations directly from within AskGartner. Clients can ask questions in 25 languages, and we continue to integrate additional proprietary data sources.”
— Eugene Hall, IT earnings callAskGartner - T2Q&A· CEO· Product-embedded AIA number of the other info services firms have been starting to use large LLM providers as like an additional distribution channel.
“that piece of it is just a small piece of our overall value proposition. And so we want to focus on what clients want from us the most value, which is a whole tell us what I'm not seeing, help you see around corners, tell how world is going to evolve so that I can be successful in this uncertain environment. And that doesn't really fit well with feeding into an LLM that is really answering questions, which is we have as Gartner.”
— Eugene Hall, IT earnings call - T2Prepared remarks· CEO· Customer demand signal
“AI continues to be one of the most requested topics across all the roles we serve. Gartner sits at the nexus of CIOs and IT organizations, business leaders and AI technology providers. This gives us a full proprietary perspective that includes all the major players. We also have comprehensive independent and objective guidance on all aspects of AI, strategy, ROI, ethics and governance, workforce readiness and more.”
— Eugene Hall, IT earnings call - T2Q&A· CEO· Product-embedded AIA number of the other info services firms have been starting to use large LLM providers as like an additional distribution channel. And I know your business is different being more weighted towards advisory, but you still have proprietary data that people want. And so I was wondering if -- is there a sort of broader data distribution that you would consider?
“what clients rule out us for is for us to proactively go to them and say, given your mission-critical priorities, here's the things you should be worried about, things you may not have thought of, things that you might be surprised by. And so what they rely on us for is to be very proactive as opposed to wait and answer a question. So that's not our plan to work with us. That's not our value proposition.”
— Eugene Hall, IT earnings call - T2Q&A· CFO· Product-embedded AIjust anything you can give us on the evolution of AskGartner, either usage statistics or any meaningful changes in, I guess, user experience, either from something new with the foundational models that underpin it or any adjustments that you've been making to it?
“those upgrades are a combination of feature enhancements and incremental proprietary data that the tool is going from as well. And so we are very quickly rolling out new features, as Gene mentioned, every 2 weeks, and we'll continue to do that as there's demand for it, as the models improve and as our clients give us feedback on what they want from the tool.”
— Craig Safian, IT earnings callAskGartner - T2Q&A· CEO· Product-embedded AIjust anything you can give us on the evolution of AskGartner, either usage statistics or any meaningful changes in, I guess, user experience, either from something new with the foundational models that underpin it or any adjustments that you've been making to it?
“The client usage continues to increase and the amount of repeat client usage continues to increase. And so we're seeing increasing engagement with AskGartner. We do a new release every 2 weeks.”
— Eugene Hall, IT earnings callAskGartner - T1Prepared remarks· CEO· Internal use
“We cover the full range of issues leaders need to address to be successful with AI. And we are world-class users of AI internally. No one is more capable or better positioned to guide leaders along their AI journeys than Gartner.”
— Eugene Hall, IT earnings call - T1Q&A· CFO· Internal usejust on the management of costs, can you maybe provide a bit more color there just relative to your expectations versus just kind of normally being conservative when you initially guide, just any update where maybe there's a bit more benefits from even if it's AI or just other things that are going on
“we are always focused on continuous innovation and continuous improvement and driving operational efficiencies through the business. we can leverage AI for some of that. We can leverage other technologies for other things.”
— Craig Safian, IT earnings call - T1Prepared remarks· CEO· Customer demand signal
“Gartner is the best source for clients looking to achieve success on their AI journeys, and our teams are incredibly optimistic about our future.”
— Eugene Hall, IT earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No quantification of AskGartner usage statistics (active users, query volume, or session counts) despite direct analyst question from Baird (Jeffrey Meuler).
- No disclosure of revenue or ARR attributable to AI-related research topics or AI-themed advisory products.
- No specific capex or opex figures disclosed for AI infrastructure or AI product development.
- Management referenced 'increasing engagement with AskGartner' and 'increasing repeat client usage' but provided no absolute or relative metrics.
- No detail on which foundational models underpin AskGartner, despite analyst question probing this directly.
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