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WireSift Research · AI Adoption Tracker · Q1 2026

NXPINXP Semiconductors N.V.

AI revenue and adoption · Q1 2026 earnings call

Information TechnologyScaling
AI mentions
10
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Disclosed
qualitative only
NXP framed 'physical AI' as a key secular growth driver, particularly for its industrial & IoT segment, positioning its processing, connectivity, and security portfolio as enabling intelligence at the edge and in robotics. The company disclosed its Kinara AI inference acquisition is generating a $1B+ sales funnel with 30+ POCs and is being integrated into industrial and automotive processors, with revenue expected in H2 2027. Data center exposure — described as control-plane rather than AI compute — was newly disclosed at ~$200M in 2025, expected to exceed $500M in 2026. Management did not attribute specific revenue to AI products per se, but tied AI-driven demand to content growth in both automotive (SDV) and industrial markets.
AI Revenue Disclosure
Method: qualitative only
the industrial & IoT market is entering a transformative phase as physical AI moves intelligence into real-world systems and robotics. This is creating significant content growth opportunities for NXP, particularly in processing, connectivity and security.
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Composite
61/ 100
#111 overall · #55 in Information Technology
Depth · 40%
80
stage: scaling · max spec: 5
Disclosure · 40%
40
rev: qualitative_only · 2 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_standaloneproduct_embedded
Every claim, sourced

10 AI mentions from this call.

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

  • T5Prepared remarks· CEO· Customer demand signal
    In 2025, revenue related to data center applications was about $200 million, and it was reflected evenly in both our industrial & IoT and communication infrastructure end markets. Based on our other programs now ramping, we believe this business will be north of $500 million this year with a similar end market split.
    Rafael Sotomayor, NXPI earnings call
  • T4Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Loop Capital· Gary Mobley
    I was hoping that you can give us an update on the integration of Kinara, Aviva, TTTech, how that's progressing, whether it relates to enhancements to existing road maps or full commercialization on an independent basis?
    Kinara was a great acquisition directly in the middle of our North Star, which is becoming intelligent systems at the edge. And Kinara is -- it's been a perfect combination for our i.MX platform that is our application processor. It allows us to really engage with customers in ways that we couldn't have done in the past just because we didn't have the capability, we didn't even have the credibility on it. And so today, sales funnel is quite large and literally over $1 billion of sales funnel. So obviously, a lot of things to go and go and chase. Our customer reaction is really good. We have I think we have like more than 30 POCs going on, and we expect -- again, we are on track to have some revenue of combination of the Kinara asset with i.MX in the second half of 2027 and 2028.
    Rafael Sotomayor, NXPI earnings call
    ProductsKinara, i.MX
  • T4Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Goldman Sachs· James Schneider
    relative to the data center disclosure you provided, that by all accounts appears to be at least at or potentially above the rate of data center growth for many of your analog peers. Can you maybe talk about whether there's any specific areas that are growing -- sort of outgrowing the overall envelope there?
    our SAM, if you look at our SAM on the control plane, it's probably growing about 10% to 11% per year. We are going to outgrow the SAM because we're just ramping and I expect that to continue to happen in '26 and '27. We are doubling down on some of the products to actually seize kind of the opportunity that we have in the current engagements. We are talking to our customers what the next generation of products is going to be. And I'll tell you, the exposure in the data centers has about 20 to 25 products.
    Rafael Sotomayor, NXPI earnings call
    ProductsLayerscape, i.MX
  • T3Prepared remarks· CEO· Product-embedded AI
    the industrial & IoT market is entering a transformative phase as physical AI moves intelligence into real-world systems and robotics. This is creating significant content growth opportunities for NXP, particularly in processing, connectivity and security. As AI is deployed at the edge, customers need greater processing headroom to future-proof their platforms. As a result, we're seeing customers making deeper multigenerational commitments to NXP because of the strength of our AI-enabled product portfolio.
    Rafael Sotomayor, NXPI earnings call
  • T3Prepared remarks· CEO· Product-embedded AI
    we have established meaningful positions in system cooling, power supply, board management and control plane switching applications. Across these subsystems, customers choose NXP for our processing depth and security capabilities. Based on customer engagements, we are reinforcing our i.MX application processor family for this opportunity, creating a durable and expanding revenue presence in data centers.
    Rafael Sotomayor, NXPI earnings call
    Productsi.MX
  • T3Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Deutsche Bank· Ross Seymore
    I guess for my follow-up, thanks for breaking out the data center side. Talk a little bit about that 200 more than doubling this year.
    off the bat, right, I would say we're not claiming exposure to the data plane. So no GPUs, no accelerators, no high-speed AI connectivity. So our domain is in the control plane. So the way to think about it as data center scales, the constraints are not just compute and memory, they're also power, cooling, uptime, secure controls. And I think this is where NXP plays.
    Rafael Sotomayor, NXPI earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Loop Capital· Gary Mobley
    I was hoping that you can give us an update on the integration of Kinara, Aviva, TTTech, how that's progressing, whether it relates to enhancements to existing road maps or full commercialization on an independent basis?
    the other important thing is that we're starting to integrate the Kinara IP already into our industrial processors and our auto processors. This is monolithic integration of the IP. So this is also going to be part of our next-generation processing for our auto and industrial products.
    Rafael Sotomayor, NXPI earnings call
    ProductsKinara
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Morgan Stanley· Joseph Moore
    Is there anything different about that in the China market? I'm sort of thinking when you build the car architecture from scratch, it's probably easier to build around software-defined vehicles...
    China is moving fast to automation to Level 3, Level 4 ADAS. So that also requires more redundancy, a better security, better safety. And so this is where I think innovation and MCUs and MPUs is going to be key to actually win in the market. So we are quite excited about the transformative move that Chinese are making in architectures and the speed in which we're doing it because we have the right road map for them.
    Rafael Sotomayor, NXPI earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    sustained investment, disciplined execution and deepening customer adoption across our differentiated portfolio that is increasingly well positioned for the most durable secular trends in semiconductors, software-defined vehicles, physical AI and now with greater visibility than before, data center infrastructure.
    Rafael Sotomayor, NXPI earnings call
  • T1Prepared remarks· CEO· Product-embedded AI
    NXP growth is driven by leadership in SDV and physical AI and industrial & IoT.
    Rafael Sotomayor, NXPI 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 explicit revenue attribution to AI-specific products; data center revenue ($200M in 2025, >$500M in 2026) is described as control-plane infrastructure, not AI-labeled revenue.
  2. Kinara revenue contribution not quantified for 2026; management only guided to 'some revenue' in H2 2027 and 2028.
  3. No gross margin or ASP data disclosed specifically for AI-enabled or Kinara-integrated products.
  4. Physical AI SAM size for industrial/robotics not quantified beyond a directional 'significant content growth opportunities' statement.
  5. No disclosure of AI-specific R&D spend or headcount dedicated to AI product development.
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Sourced from primary documents · See the methodology for the extraction approach.