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WireSift Research · AI Adoption Tracker · Q1 2026

SLBSLB N.V.

AI adoption · Q1 2026 earnings call

EnergyScaling
AI mentions
9
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Not disclosed
no breakout in this call
SLB discussed AI across three distinct vectors: (1) AI-powered digital operations products sold to oilfield customers (drilling automation, autonomous ESPs, AI-powered footage reading), (2) a new strategic AI partnership with S&P Global Commodity Insights leveraging large language models and domain-specific foundation models on global energy datasets, and (3) SLB's data center solutions business—which builds modular AI infrastructure for hyperscalers—highlighted by a new NVIDIA DSX AI factory design partnership. Management quantified data center growth at 45% YoY and reiterated a $1 billion exit-rate run rate target for year-end 2026, with acceleration expected in 2027. A Digital Investor Day in June was flagged as the venue for deeper AI disclosure.
Public Company AI Adoption Index
Adopter
See full leaderboard →
Composite
71/ 100
#20 non-tech · #60 overall · #1 in Energy
Depth · 40%
80
stage: scaling · max spec: 5
Disclosure · 40%
55
rev: qualitative_only · 3 quant outcomes
Breadth · 20%
85
3 scopes
Adoption scopes:infrastructure_buildproduct_embeddedproduct_standalone
Every claim, sourced

9 AI mentions from this call.

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

  • T5Prepared remarks· CEO· Infrastructure build
    data center solutions remain a bright spot, with 45% growth year on year. The momentum in this area continues, as you saw our recent announcement to serve as a modular design partner for NVIDIA DSX AI factories. With our growing backlog, we remain on track to exit the year at a $1 billion run rate and expect the growth rate to accelerate in 2027.
    Olivier Le Peuch, SLB earnings call
    PartnersNVIDIA
    ProductsDSX AI factories, modular infrastructure solutions
  • T4Prepared remarks· CEO· Product-embedded AI
    automated footage reading increased by 145% year on year as customers continue to adopt digital and AI-powered solutions to boost operational performance and efficiency.
    Olivier Le Peuch, SLB earnings call
    Productsautomated footage reading
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Citi Research· Scott Gruber
    In a world where code writing becomes easier and more commoditized, can you speak to the resilience of the value-add of your Digital portfolio?
    customers are accelerating the adoption of digital because they believe that no matter where the cycle is—whether it is a high or challenging cycle—they need to differentiate and extract efficiency and productivity in geoscience and planning workflows, operational performance and efficiency in drilling, and in production and recovery. They have seen that digital capability is delivering, and you can see it by the adoption of digital operations growing nicely year on year, driven by drilling and production operations where customers are adopting AI and software solutions that can transform the performance of drilling operations—like drilling automation—and transform production workflows to render ESPs autonomous.
    Olivier Le Peuch, SLB earnings call
    Productsdrilling automation, autonomous ESPs
  • T3Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Evercore ISI· Steve Richardson
    I wonder if you could give us a brief update on the data center business and your outlook there in terms of securing additional customers, your commercial approaches, and expectations for the balance of the year relative to what you talked about a quarter ago?
    You have seen one announcement with NVIDIA that shows they have selected us as their modular design partner for the DSX AI factory. It means a lot—it means we have been selected as a trusted partner to develop modular infrastructure solutions for the DSX centers, large-scale future builds that need to be scaled fast. We will add capability to build sites and manufacture equipment off-site and bring this modular infrastructure to NVIDIA's customers in the future.
    Olivier Le Peuch, SLB earnings call
    PartnersNVIDIA
    ProductsDSX AI factory, modular infrastructure solutions
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Evercore ISI· Steve Richardson
    Can you talk about what the longer-term vision is there, and be sure to hit on how and if that is an enabler of some of the other things you are doing in the broader business outside of Digital?
    we have entered an agreement to pursue a strategic partnership with S&P Global Commodity Insights around AI, giving us the opportunity to use the power of large language models and domain-specific foundation models using the global datasets of S&P Global Commodity Insights. Together, we will provide our customers with unique insights by applying AI capability and our domain foundation models on the full datasets of S&P Global Commodity Insights.
    Olivier Le Peuch, SLB earnings call
    PartnersS&P Global Commodity Insights
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Citi Research· Scott Gruber
    In a world where code writing becomes easier and more commoditized, can you speak to the resilience of the value-add of your Digital portfolio?
    we have data like no other industry, we have scientists and engineers who love to work with data, and we have AI that is becoming a catalyst and x-factor to unlock productivity. We are unique in our capability; we have deep domain knowledge and a platform that can help scale AI capability. It is the right time for the industry to adopt AI at scale.
    Olivier Le Peuch, SLB earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    Our approach is grounded in domain expertise, where AI, data, and software are integrated into our platform and workflows to deliver measurable performance outcomes. This is not about standalone tools; it is about embedding intelligence across the full life cycle of whatever developments and production.
    Olivier Le Peuch, SLB earnings call
  • T2Prepared remarks· CEO· Infrastructure build
    data centers represent a new and rapidly expanding opportunity for SLB N.V., leveraging our core strengths in engineering, manufacturing, and project execution, while extending our scope of modular infrastructure solutions to support the accelerating demand for AI and digital capacity.
    Olivier Le Peuch, SLB earnings call
    Productsmodular infrastructure solutions
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Citi Research· Scott Gruber
    with an outlook for higher oil prices, at least over the medium term, how does that impact the Digital business?
    When commodity prices are high and customers have more optionality in discretionary spend, they invest in domain and in digital, and they accelerate exploration. We foresee that, and we are seeing signals that exploration is coming back.
    Olivier Le Peuch, SLB earnings call
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 revenue or ARR breakdown provided specifically for AI-powered products within the Digital segment; ARR of $1.02B covers the full Digital division, not AI specifically.
  2. No margin or profitability disclosure for the data center solutions business specifically, despite it being called out as a 'bright spot.'
  3. No financial terms disclosed for the NVIDIA DSX AI factory design partnership.
  4. No financial terms disclosed for the S&P Global Commodity Insights AI strategic partnership.
  5. Management did not quantify the number of customers, sites, or capacity (MW/rack units) in the data center solutions business.
  6. No disclosure of AI-specific headcount, R&D spend, or capex allocation within the Digital segment.
  7. Digital Investor Day in June flagged as the venue for deeper AI disclosure, suggesting deliberate deferral of specifics on this call.
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Sourced from primary documents · See the methodology for the extraction approach.