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WireSift Research · AI Adoption Tracker · Q1 2026

EMREmerson Electric Co.

AI adoption · Q1 2026 earnings call

IndustrialsPiloting
AI mentions
6
extracted from this call
Max specificity
3 / 5
operational, no hard numbers
AI revenue
Not disclosed
no breakout in this call
Emerson Electric addressed AI primarily in two contexts: (1) defensively, reassuring investors that its industrial software portfolio is insulated from broader AI disruption concerns due to mission-critical, regulated-industry use cases requiring real-time compute and near-perfect accuracy; and (2) offensively, highlighting AI as an embedded product opportunity across Ovation, DeltaV, AspenTech, and NI platforms. Management cited a specific AI deployment for Aramco using Aspen Hybrid Models for multisite refinery optimization. However, management was candid that AI has not yet translated into meaningful revenue, with more significant impact expected in 2027 and beyond.
Public Company AI Adoption Index
Adopter
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Composite
27/ 100
#177 non-tech · #244 overall · #36 in Industrials
Depth · 40%
51
stage: piloting · max spec: 3
Disclosure · 40%
0
no quantified disclosure
Breadth · 20%
35
1 scope
Adoption scopes:product_embedded
Every claim, sourced

6 AI mentions from this call.

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

  • T3Prepared remarks· CEO· Product-embedded AI
    Emerson Electric Co. recently deployed an AI-driven optimization solution for Aramco, one of the world's leading integrated energy and chemicals companies. Emerson Electric Co.'s Aspen Hybrid Models were integrated into Aramco's existing refinery planning network to create one of the world's largest multisite optimization models and give Aramco a scalable, robust tool for global refinery planning.
    Surendralal Karsanbhai, EMR earnings call
    PartnersAspenTech
    ProductsAspen Hybrid Models
  • T2Q&A· CFO· Product-embedded AI
    Analyst questionparaphrased· BNP Paribas· Andrew Buscaglia
    Obviously very topical throughout the quarter and throughout the year this year has been AI and software. It sounds like you have these new products out. It sounds like adoption is going well. Can you give us an update on anything you have learned intra-quarter on that front? And then I am curious on the outlook—how impactful do you see these products contributing to growth going forward, even as soon as this year?
    A lot of customer interest, not only on the NI side, but certainly the capabilities we have launched on Ovation, DeltaV, as well as AspenTech. It will be a very interesting users group event where you are going to see a lot more customer input as it relates to pace of adoption for both NI and AspenTech, so we will get to learn that in a couple of weeks. We do believe that it is a differentiator for us and we are seeing a lot of activity, particularly in the Ovation business, in terms of customer dialogue and a lot of quotes around AI. I would say it is a little early for it to translate into meaningful revenue opportunities.
    Michael J. Baughman, EMR earnings call
    PartnersNI, AspenTech
    ProductsOvation, DeltaV, AspenTech
  • T2Prepared remarks· CEO· Product-embedded AI
    Next week, AspenTech and NI will both host user conferences where Emerson Electric Co. will showcase our latest innovations which will help customers unlock greater levels of optimization and productivity across their operations. As Contech will hold, they are optimizing with over 1,100 customers from 49 countries, including keynotes from ExxonMobil, TotalEnergies, and Exelon. And NI Connect will feature keynote addresses from prominent customers, including NVIDIA and Alstom, with over 1,600 attendees from 38 countries.
    Surendralal Karsanbhai, EMR earnings call
    PartnersAspenTech, NI, NVIDIA
    ProductsContech, NI Connect
  • T2Prepared remarks· CEO· Product-embedded AI
    I want to highlight the strength of our differentiated industrial software portfolio to address concerns in the broader software market regarding AI. We are seeing healthy growth in ACV and expect to finish the year up 10% plus. Our software is based on decades of deep domain expertise and serves mission-critical applications in highly regulated industries. These applications require real-time compute and traceability of data, where being right 99.9% of the time is not good enough.
    Surendralal Karsanbhai, EMR earnings call
  • T2Q&A· CFO· Product-embedded AI
    Analyst questionparaphrased· BNP Paribas· Andrew Buscaglia
    Obviously very topical throughout the quarter and throughout the year this year has been AI and software. It sounds like you have these new products out. It sounds like adoption is going well. Can you give us an update on anything you have learned intra-quarter on that front? And then I am curious on the outlook—how impactful do you see these products contributing to growth going forward, even as soon as this year?
    We have been very thoughtful on pricing and making sure that we can extract value and tiering the product suites where we can capture the value, with tiering on the higher-tier products which will have the AI functionality. Time will tell. There is certainly a lot of customer interest, but we do not have meaningful impact on revenue as we sit here today. As we progress into 2027 and beyond, I think it will be a huge differentiator for us.
    Michael J. Baughman, EMR earnings call
  • T1Prepared remarks· CEO· Product-embedded AI
    Further, we are well positioned to benefit from embedding AI in our solutions. This represents a great opportunity for Emerson Electric Co. as we advance the journey to autonomous operations.
    Surendralal Karsanbhai, EMR 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. Management declined to quantify AI revenue contribution despite a direct analyst question from Andrew Buscaglia (BNP Paribas), stating only that it is 'a little early for it to translate into meaningful revenue opportunities' and there is 'no meaningful impact on revenue as we sit here today.'
  2. No disclosure of AI-specific R&D spend, capex allocation, or headcount dedicated to AI development.
  3. No quantification of AI adoption rates, number of customers using AI features, or pipeline of AI-specific deals.
  4. No specifics on pricing premium for AI-tiered product suites or incremental ACV attributable to AI features.
  5. User conference outcomes (AspenTech Contech and NI Connect) referenced as forthcoming data points on adoption pace, but no current metrics provided.
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Sourced from primary documents · See the methodology for the extraction approach.