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WireSift Research · AI Adoption Tracker · Q1 2026

PLTRPalantir Technologies Inc.

AI adoption · Q1 2026 earnings call

Information TechnologyMonetizing
AI mentions
27
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Not disclosed
no breakout in this call
AI is the central and dominant theme of this call, with Palantir positioning AIP (AI Platform) as the only enterprise-grade, 'no-slop' AI operating system capable of deploying models in production at scale. Management reported triple-digit U.S. growth driven explicitly by AIP demand, cited specific customer deployments across insurance, aerospace, mortgage, defense, and telecom, and framed the company as the indispensable intermediary between raw LLM capability and real-world enterprise value via the ontology. The call included quantified AI adoption metrics (Maven usage 4x YoY), customer outcome data (bill of materials approval time from 200 hours to 15 seconds), and a full-year revenue guidance raise of 10% attributed to AI platform demand.
Public Company AI Adoption Index
Adopter
See full leaderboard →
Composite
81/ 100
#28 overall · #24 in Information Technology
Depth · 40%
100
stage: monetizing · max spec: 5
Disclosure · 40%
70
rev: qualitative_only · 8 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_standaloneinternal_use
Every claim, sourced

27 AI mentions from this call.

Extracted verbatim from the PLTR Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T5Prepared remarks· CFO· Standalone AI product
    Net dollar retention was 150%, an increase of 1,100 basis points from last quarter. The increase was driven both by expansions at existing customers and new customers acquired in Q1 of last year as load-bearing institutions continue to turn to Palantir Technologies Inc.'s battle-tested AI platform.
    David A. Glazer, PLTR earnings call
    ProductsAIP
  • T5Prepared remarks· CFO· Standalone AI product
    Over the past twelve months, we closed $4.7 billion of U.S. commercial TCV bookings, a 115% increase from the prior twelve months, highlighting the accelerating demand for AI that creates real operational value.
    David A. Glazer, PLTR earnings call
    ProductsAIP
  • T5Prepared remarks· CEO· Standalone AI product
    Our free cash flow this quarter is larger than our revenue a year ago in the same quarter. Think about that. Same company, same people, extended products—it is all being extended.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP
  • T4Prepared remarks· CTO· Standalone AI product
    GPT-4–equivalent performance that cost $20 per million tokens in early 2023 is now approximately a thousand times cheaper three years later. Because of this increased efficiency, use case demand for tokens is exploding. Our AIP workflows today utilize vastly more tokens—agents orchestrating across the ontology, chaining reasoning, tool use, retrieval, and execution—and it is growing. This is Jevons' paradox.
    Shyam Sankar, PLTR earnings call
    ProductsAIP
  • T4Prepared remarks· Other· Standalone AI product
    Ship OS, in partnership with the Department of the Navy, has produced remarkable impact at several manufacturing industrial base suppliers already, including dropping manufacturing bill of materials approval time from 200 hours to 15 seconds, increasing speed of contract review cycles by 57% to 73%, and reducing monthly material planning time by 94%.
    Ryan Taylor, PLTR earnings call
    PartnersDepartment of the Navy
    ProductsShip OS
  • T4Prepared remarks· CTO· Standalone AI product
    what is now clear is that Mythos and SPUD and even other current-generation models with AIP are capable of finding novel vulnerabilities in complex cyber kill chains. They have discovered thousands of zero days across major operating systems and browsers. This is the Sputnik moment in the AI arms race.
    Shyam Sankar, PLTR earnings call
    ProductsAIP, Apollo
  • T4Prepared remarks· Other· Standalone AI product
    on the back of a 26% increase in engine performance with AIP, GE Aerospace deepened their partnership with Palantir Technologies Inc. last quarter to deploy agentic AI-powered solutions across their production system and military aviation supply chain
    Ryan Taylor, PLTR earnings call
    PartnersGE Aerospace
    ProductsAIP
  • T4Prepared remarks· CTO· Standalone AI product
    Maven met its moment across real-world events in Q1. Usage has doubled in the past four months through March and is now 4x over the past twelve months—across the services, the combatant commands, the Joint Staff, and the intelligence community.
    Shyam Sankar, PLTR earnings call
    PartnersDepartment of Defense, Joint Staff
    ProductsMaven Smart System
  • T4Prepared remarks· CTO· Internal use
    Thomas Cavanagh Construction—97% of their employees use Foundry every day—and every other piece of software must now justify its existence.
    Shyam Sankar, PLTR earnings call
    ProductsFoundry
  • T3Prepared remarks· CTO· Standalone AI product
    unified cost attribution per agent, per session, per workflow, with administrative caps. Full provenance, so every ontology mutation traces back to the agent and reasoning chain that produced it. Security marking propagation from input data through agent sessions onto all output, with approval gates for any workflow that could reclassify information.
    Shyam Sankar, PLTR earnings call
    ProductsAIP
  • T3Prepared remarks· CTO· Standalone AI product
    A major telco set out to automate 10 million customer calls a year. The real insight was that the most dissatisfied customers never call; they churn silently. The reframe was counterintuitive: Do not use AI to reduce calls. Use it to generate them. An AI advocate that proactively calls on every customer's behalf.
    Shyam Sankar, PLTR earnings call
    ProductsAIP
  • T3Prepared remarks· Other· Standalone AI product
    as the AIG CEO noted in their recent earnings call, they are deploying AIP to implement a multi-agentic underwriting and claims solution comprised of purpose-built agents ingesting submissions, evaluating risk, benchmarking pricing, and detecting fraud, all coordinated through the ontology.
    Ryan Taylor, PLTR earnings call
    ProductsAIP
  • T3Prepared remarks· CTO· Standalone AI product
    AIP is the default builder platform in the Department of [inaudible], with thousands of developers using AIFD, migrating legacy systems, standing up new capabilities, solving problems that used to require contractor teams and months of lead time.
    Shyam Sankar, PLTR earnings call
    ProductsAIP, AIFD
  • T3Q&A· Other· Standalone AI product
    Analyst questionparaphrased· Wedbush· Daniel Ives
    how do we balance between going after government deals and then commercial deals?
    You see the AIG CEO talking about the agentic underwriting and claims process being coordinated through the ontology. These are all really massive undertakings. We are going deep with our customers, and we are having that level of impact.
    Ryan Taylor, PLTR earnings call
    ProductsAIP
  • T3Prepared remarks· CTO· Internal use
    This quarter, we replaced our old, expensive CRM with an AI-first solution built on AIP in a few months that users absolutely love.
    Shyam Sankar, PLTR earnings call
    ProductsAIP
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Wedbush· Daniel Ives
    how do we balance between going after government deals and then commercial deals?
    our biggest problem currently in the U.S.—and why I believe we have 100% growth in the U.S.—is that we just cannot meet demand.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP
  • T2Prepared remarks· CTO· Standalone AI product
    We are building a platform-native agent engine SDK, a single set of primitives for building, persisting, governing, and operating ontology-native agents. A common layer that lets you visualize every agent in your enterprise and control it, regardless of how it was built. A true agent operating system.
    Shyam Sankar, PLTR earnings call
    ProductsAIP, agent engine SDK
  • T2Q&A· CTO· Standalone AI product
    Analyst questionparaphrased· Bank of America· Mariana Perez Mora
    you also have some that are still trying with just Anthropic, Gemini, OpenAI; they all have enterprise solutions now.
    One of the challenges for the labs is that all they see are the limitless potential, as opposed to living at the edge of where it translates into economic value. You see that with attempts to build out deploy code—it is essentially, how do I take Palantir Technologies Inc. and try to replicate that.
    Shyam Sankar, PLTR earnings call
    ProductsAIP
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Aiden G.
    how does Palantir Technologies Inc. expect to navigate an environment where AI is pressuring software companies' capabilities?
    almost every single highlighted example of AI that actually is producing results in the U.S. is actually Palantir Technologies Inc. by Palantir Technologies Inc. And one of the ways to pen test what we are saying is just dig into the examples of AI actually transforming an enterprise.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP, Foundry
  • T2Q&A· CTO· Standalone AI product
    Analyst questionparaphrased· Aiden G.
    how does Palantir Technologies Inc. expect to navigate an environment where AI is pressuring software companies' capabilities?
    We are focused on enterprise autonomy, not on dazzling demos. We have, in the ontology, the no-slop zone. The ontology is the body to the AI brains. You cannot actually interact with the enterprise or affect the world; your agents can go nowhere without ontology.
    Shyam Sankar, PLTR earnings call
    ProductsAIP, Foundry
  • T2Q&A· CEO· Standalone AI product
    We are really providing infrastructure and installation of AI infrastructure. If your company is largely running around and offering steak dinners with something that someone can hack and rebuild in a week, yes, you are going to have a huge problem.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP, Foundry, Apollo
  • T2Prepared remarks· Other· Standalone AI product
    AIP is the only platform that establishes a true AI no-slop zone, a necessary requisite to converting potential AI leverage into compounding real-world value without risking enterprise disaster.
    Ryan Taylor, PLTR earnings call
    ProductsAIP
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Bank of America· Mariana Perez Mora
    you also have some that are still trying with just Anthropic, Gemini, OpenAI; they all have enterprise solutions now.
    The best thing that can happen to this company—and maybe this country—is, of course, they should go out and flirt with all this slop. Mostly they come home to Palantir Technologies Inc.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP
  • T2Prepared remarks· CTO· Standalone AI product
    More AI means more code. More code means more slop. More slop means more attack surface. More attack surface means more vulnerabilities, and more vulnerabilities means more Apollo.
    Shyam Sankar, PLTR earnings call
    ProductsApollo
  • T2Prepared remarks· CFO· Standalone AI product
    This growth was driven by continued execution in existing programs and new awards reflecting the growing demand for our AI platform in government.
    David A. Glazer, PLTR earnings call
    ProductsAIP
  • T2Prepared remarks· CFO· Standalone AI product
    Our AI platform dominates U.S. markets as the only real choice for deploying AI models operationally in a way that actually works.
    David A. Glazer, PLTR earnings call
    ProductsAIP
  • T1Prepared remarks· CEO· Standalone AI product
    the current environment is actually being transformed by the Palantir Technologies Inc. platform. And although there is a wide view out there in the world that AI slop is going to take over the world, our clients, especially lasting primordial infrastructure industries, know this is not the case.
    Alexander C. Karp, PLTR earnings call
    ProductsAIP, Foundry
Q&A Dynamics

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.

  1. No breakdown of AIP-specific revenue as a discrete line item — AI revenue is embedded in total U.S. commercial and government figures without explicit attribution.
  2. No gross margin differential disclosed for AIP vs. non-AIP revenue.
  3. Maven contract value and total program size not disclosed.
  4. No quantification of token consumption volumes or cost savings from Jevons' paradox dynamic for customers.
  5. No disclosure of headcount dedicated to AI product development vs. total engineering.
  6. AIFD (AIP for Developers) user count cited as 'thousands' but not precisely quantified.
  7. Mythos and SPUD model capabilities described qualitatively; no benchmark data or deployment scale disclosed.
  8. No analyst directly asked for AI revenue disaggregation; management did not volunteer it.
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Sourced from primary documents · See the methodology for the extraction approach.