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WireSift Research · AI Adoption Tracker · Q1 2026

LMTLockheed Martin Corporation

AI adoption · Q1 2026 earnings call

IndustrialsScaling
AI mentions
13
extracted from this call
Max specificity
3 / 5
operational, no hard numbers
AI revenue
Not disclosed
no breakout in this call
AI was discussed in two distinct contexts: internal enterprise productivity (ERP, supply chain, defect management, contract bidding) and product/mission integration (targeting, battle management, autonomous flight). CEO Jim Taiclet described a centralized Lockheed Martin Artificial Intelligence Center with dedicated GPU infrastructure, air-gapped from the internet, using external AI models on a token or licensed basis applied to proprietary datasets. AI was also cited as a feature of the F-35 (AI-assisted targeting) and the UH-60MX Black Hawk (Matrix autonomy suite), and referenced in the context of the new munitions acceleration center in Camden, Arkansas. No financial quantification of AI investment or revenue impact was provided.
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Composite
59/ 100
#77 non-tech · #137 overall · #17 in Industrials
Depth · 40%
76
stage: scaling · max spec: 3
Disclosure · 40%
40
1 quant outcome
Breadth · 20%
65
2 scopes
Adoption scopes:internal_useproduct_embedded
Every claim, sourced

13 AI mentions from this call.

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

  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Ronald Epstein
    Just circling back on some of your comments you brought up in your prepared remarks about how you're deploying AI in the enterprise and in some of the weapon systems. How are you broadly thinking about that? Are you developing pools herself as lucky trying to develop its own large language model or are you using outside stuff? Just kind of broadly thinking about your AI strategy and what you're doing there?
    All of this is within what we call the Lockheed Martin Artificial Intelligence Center. So we made a decision with our then really a chief engine here. We have another [indiscernible] today, but her predecessor when I first joined the company 5, 6 years ago, said, hey, I want to stand up a single AI center for all of Lockheed Martin instead of having each business do it or something like that and consolidate the GPUs, consolidate the infrastructure make sure that we have a totally wold system that can operate at the classified level and has no connection to the external Internet so that we don't have cyber and other risks in that regard.
    James Taiclet, LMT earnings call
    ProductsLockheed Martin Artificial Intelligence Center
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Ronald Epstein
    Just circling back on some of your comments you brought up in your prepared remarks about how you're deploying AI in the enterprise and in some of the weapon systems. How are you broadly thinking about that? Are you developing pools herself as lucky trying to develop its own large language model or are you using outside stuff? Just kind of broadly thinking about your AI strategy and what you're doing there?
    there's only 2 dimensions to artificial intelligence adoption in Lockheed Martin. One is the in-house business systems, production system, ERP supply chain management, all those kind of in-house critical activities. We're applying artificial intelligence there, everything to the closing process, right, to contract and bid provisions to respond to our customers. Every place that you can imagine, AI could be helpful, defect management and discovery, those kinds of things in the factory supply chain breakdowns. Those kinds of things, we are using -- utilizing AI to make all those business processes better for us.
    James Taiclet, LMT earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Bank of America· Ronald Epstein
    Just circling back on some of your comments you brought up in your prepared remarks about how you're deploying AI in the enterprise and in some of the weapon systems. How are you broadly thinking about that? Are you developing pools herself as lucky trying to develop its own large language model or are you using outside stuff? Just kind of broadly thinking about your AI strategy and what you're doing there?
    we are introducing AI into our products and services where it makes sense to do that. But under a rubric of of an ethical standard that is adopted from the Department of Defense's rubric. So we're introducing AI into target recognition into battle management, command and control, [indiscernible] as it's called things like that, places where you've got a lot of data. If you can fuse it, bring intelligence to it quickly and provide commanders and pilots options.
    James Taiclet, LMT earnings call
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Ronald Epstein
    Just circling back on some of your comments you brought up in your prepared remarks about how you're deploying AI in the enterprise and in some of the weapon systems. How are you broadly thinking about that? Are you developing pools herself as lucky trying to develop its own large language model or are you using outside stuff? Just kind of broadly thinking about your AI strategy and what you're doing there?
    we have our own data sets. We don't use any data from outside the company or outside the customer that's provided to us. So we have this internalized AI center, but we utilize external models for it. So there's a range of AI models. Many of them are incredibly well known, and we have access to those on a token basis or otherwise that we run in our AI center on our own GPUs on our own infrastructure that's cyber secure and hacking secure.
    James Taiclet, LMT earnings call
    ProductsLockheed Martin Artificial Intelligence Center
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Citigroup· John Godyn
    Jim, I wanted to just ask about the evolving landscape a tremendous amount of new issues, new entrants. What is that impacting the competition for talent? How is that impacting contracting and maybe offensively, you had some comments in your prepared remarks about how it might be impacting the opportunity to make investments or strategic partnerships.
    we have excellent retention rates. It's about half of general industry as far as losing folks on a voluntary basis. We're at like 4-ish percent broad industries like 8% to 10% turnover. So we have pretty solid retention, but there are some places like AI data scientists and others where it's competitive, and we have compensation plans that we think can meet the moment on that and keep the key people we need to.
    James Taiclet, LMT earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Citigroup· John Godyn
    Jim, I wanted to just ask about the evolving landscape a tremendous amount of new issues, new entrants. What is that impacting the competition for talent? How is that impacting contracting and maybe offensively, you had some comments in your prepared remarks about how it might be impacting the opportunity to make investments or strategic partnerships.
    We've actually are working with the Air Force now at Edwards Air Force Base, which is a test pilot school. There within autonomous F-16 that's working tactics that will be more survivable where even a piloted aircraft when it's in a dogfight or has to do a really hard turn on a missile can take over and optimize that response in the fight, so to speak.
    James Taiclet, LMT earnings call
    PartnersU.S. Air Force
    ProductsF-16
  • T3Prepared remarks· Other· Product-embedded AI
    In the first quarter, we delivered the very first UH-60 MX, Black Hawk helicopter to the U.S. Army. The UH-60MX includes a fully integrated Matrix autonomy suite, enabling optionally piloted flight and supporting the Army's pursuit of open architecture, mission supported autonomy.
    Unknown Executive, LMT earnings call
    ProductsUH-60MX, Black Hawk, Matrix autonomy suite
  • T2Prepared remarks· CEO· Internal use
    A key feature of our 21st Century security vision encompassing AI solutions for enterprise efficiency, digital threat integration, model-based engineering to accelerate our program time lines and a commitment to open systems architectures that allow us and our partners to rapidly integrate new technology from us or others and continuously enhance capabilities, thereby strengthening deterrence.
    James Taiclet, LMT earnings call
  • T2Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Ronald Epstein
    Just circling back on some of your comments you brought up in your prepared remarks about how you're deploying AI in the enterprise and in some of the weapon systems. How are you broadly thinking about that? Are you developing pools herself as lucky trying to develop its own large language model or are you using outside stuff? Just kind of broadly thinking about your AI strategy and what you're doing there?
    There's been a pretty significant investment over these last 5 or 6 years into that. And I actually think that we may have a best-in-breed AI center, at least in our industry. So we're not building basic artificial intelligence models. We're using others, but we're applying them to our internal business operations and to our product set.
    James Taiclet, LMT earnings call
    ProductsLockheed Martin Artificial Intelligence Center
  • T2Prepared remarks· CEO· Product-embedded AI
    Our new munitions acceleration center that we're building in Camden, Arkansas exemplifies this effort serving both as a production facility and a development hub for the next generation of defense talent that will use the latest in AI and robotics to do their jobs.
    James Taiclet, LMT earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Citigroup· John Godyn
    Jim, I wanted to just ask about the evolving landscape a tremendous amount of new issues, new entrants. What is that impacting the competition for talent? How is that impacting contracting and maybe offensively, you had some comments in your prepared remarks about how it might be impacting the opportunity to make investments or strategic partnerships.
    we've been working for years to expand it with some of the major tech companies and telecom companies out there like when we publicly stated these before, Verizon IBM, Microsoft, NVIDIA, et cetera.
    James Taiclet, LMT earnings call
    PartnersVerizon, IBM, Microsoft, NVIDIA
  • T2Prepared remarks· CEO· Product-embedded AI
    We are also far down the road in converting the Black Hawk to both pilot optional and fully autonomous operations to capitalize on its range payload and survivability in contested environments.
    James Taiclet, LMT earnings call
    ProductsBlack Hawk
  • T2Prepared remarks· CEO· Product-embedded AI
    The platform's combination of Stealth advanced sensors and AI-assisted targeting enables pilots to operate with decisive advantage.
    James Taiclet, LMT earnings call
    ProductsF-35
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 quantification of AI-related investment (capex or opex) despite describing a 'pretty significant investment over these last 5 or 6 years' into the AI Center.
  2. No revenue attribution or ARR disclosed for AI-enabled products or services.
  3. No productivity metrics (e.g., cost savings, cycle time reduction) disclosed for internal AI use cases.
  4. No headcount or FTE figures disclosed for AI talent or the AI Center.
  5. Ron Epstein (Bank of America) asked directly about AI strategy; management provided qualitative detail but declined to quantify investment levels or financial impact.
  6. No disclosure of which specific external AI models or vendors are used beyond generic reference to 'a range of AI models' and 'many of them are incredibly well known.'
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Sourced from primary documents · See the methodology for the extraction approach.