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WireSift Research · AI Adoption Tracker · Q1 2026

MPWRMonolithic Power Systems, Inc.

AI adoption · Q1 2026 earnings call

Information TechnologyScaling
AI mentions
12
extracted from this call
Max specificity
4 / 5
quantified with specifics
AI revenue
Not disclosed
no breakout in this call
AI was discussed primarily as a demand driver for MPS's enterprise data (GPU/accelerator power) and communications (optical modules, switches) segments, with management explicitly noting difficulty separating 'AI solutions' from CPU server demand. Management raised the enterprise data year-over-year growth floor from 50% to 85%, citing strong and extended ordering patterns tied in part to AI infrastructure buildout. Physical AI and robotics were highlighted as an emerging growth vector, with revenue contributions described as nascent but directionally positive.
Public Company AI Adoption Index
Hybrid
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Composite
60/ 100
#115 overall · #57 in Information Technology
Depth · 40%
78
stage: scaling · max spec: 4
Disclosure · 40%
40
rev: qualitative_only · 2 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_embeddedinternal_use
Every claim, sourced

12 AI mentions from this call.

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

  • T4Q&A· Other· Customer demand signal
    Analyst questionparaphrased· TD Cowen· Joshua Buchalter
    Any help you can give us on the guidance by segment as we think about sort of a 12% sequential growth for the June quarter, which segments should be above and below?
    late last year, we talked about 30% to 40% growth year-over-year. In the last call, we kind of rose that to a 50% floor. And the strong ordering patterns that we saw start last year has kind of continued through Q1. So at this point in time, I think we're comfortable raising that floor up to around 85% year-over-year growth.
    Tony Balow, MPWR earnings call
  • T4Q&A· Other· Customer demand signal
    Analyst questionparaphrased· Wolfe Research· Chris Caso
    Could you talk about the growth on Merchant Solutions versus ASIC solutions this year?
    I think we're comfortable raising the floor from 50% to 85%, not because there's been a fundamental change in the growth drivers for how we're approaching the market. It's really, as you know, are more comfort about what's in backlog, and we've seen that extended ordering pattern.
    Tony Balow, MPWR earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Wells Fargo· Joe Quatrochi
    Maybe just on the robotics socket opportunities. You talked about up for grabs or to win this year. Are those -- do we think about those as being incremental?
    humanoid is the most visible. You see some dancing robots and those kind of -- and the -- what we focus on is in robotics. If it's remote and without power cord plug-in robot and those have battery operations. And so our battery management product plays a role in there. And the other one is the AI side, the compute side, for power the GPUs, okay. And these automated control units and also as well as these sensors.
    Michael R. Hsing, MPWR earnings call
    Productsbattery management, automated control units, sensors
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· TD Cowen· Joshua Buchalter
    any help you can give us on how much of that's coming from CPUs, as Ross mentioned earlier, versus more confidence into either content or visibility into share on the AI accelerator side?
    What is called AI, what is called servers. There's a lot of etching and a small segment and these are very small utility box. We see a lot happening. I mean maybe I don't use the right words and you guys use it, I mean these are portable AI devices. And just based on GPUs. These are happening. And that's clearly overlapped with the CPU and GPU powered.
    Michael R. Hsing, MPWR earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Oppenheimer & Co.· Rick Schafer
    I'm just curious on physical AI. Obviously, it's getting a lot more -- a lot more people talking about it and see a lot more focused. And just if you could flesh out maybe a little more of your plans for that segment.
    We see this year and -- but the volume are still low, but it can kind of move the needle slightly. And if we go up the trends and this is still at the very beginning, and it's very difficult to predict. And many companies have launched the first high-volume robotics that we clearly benefited from it.
    Michael R. Hsing, MPWR earnings call
  • T2Q&A· Other· Product-embedded AI
    Analyst questionparaphrased· Oppenheimer & Co.· Rick Schafer
    Can that be a meaningful revenue contributor next year? Or when would we start to see robotics start to drive top line?
    what you see is us try to run the typical MPS playbook, which right now we're trying to engage broadly and win all the designs we can. We can't control when the customers ramp, but we can't control winning the sockets, and that's the broad engagement we really see happening in 2026.
    Tony Balow, MPWR earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Stifel· Tore Svanberg
    there's the move to 2,000-watt GPUs. And I know there's a lot of sort of wannabe power management companies out there, Michael. So just hoping you could touch on 2 of the 3 things that really make MPS so unique and differentiated to handle those types of power levels
    MPS is a focused on the monolithics. And we do what is the most cost effective and we do -- and how we do the integrations. And we have the capabilities to integrate or disintegrate, okay? And the integration we can put it in our modules. And that's a huge advantage.
    Michael R. Hsing, MPWR earnings call
    Productsmodules
  • T2Q&A· Other· Customer demand signal
    Analyst questionparaphrased· Deutsche Bank· Ross Seymore
    Can you just talk about the different trends you're seeing between kind of the XPU side versus the CPU -- server CPU side?
    as we've said, it's increasingly hard to differentiate between sort of AI solutions and CPU. But in general, all the growth drivers are intact. We're ramping new customers. We've been ramping existing customers. We continue to see the transition to modules.
    Tony Balow, MPWR earnings call
    Productsmodules
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Oppenheimer & Co.· Rick Schafer
    the top 4 CSPs, I think just last night, I mean now we're over $700 billion in CapEx just from them. I mean it seems like you guys are clearly seeing that increased order velocity, my real question is, are you able to capture all of that upside?
    in these AI and in GPU powers in a given time will be the performance and also the manufacturing capabilities and reliability will remain as only a few players. And after a year -- a couple of years, it's been very clear that MPS is one of the players.
    Michael R. Hsing, MPWR earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Oppenheimer & Co.· Rick Schafer
    the top 4 CSPs, I think just last night, I mean now we're over $700 billion in CapEx just from them.
    we provide a total monolithic power solutions. And we can use a single piece of silicon versus our competitor use multiple pieces of silicons. And that clearly shows our advantage.
    Michael R. Hsing, MPWR earnings call
  • T2Q&A· CEO· Internal use
    Analyst questionparaphrased· Stifel· Tore Svanberg
    there's the move to 2,000-watt GPUs
    it's all based on MPS eMotion product. And these ones are very unique. And they -- before these systems putting in production, we can't find anything like this on the market.
    Michael R. Hsing, MPWR earnings call
    ProductseMotion
  • T1Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Wells Fargo· Joe Quatrochi
    Maybe just on the robotics socket opportunities.
    when more AI adopt it in robotics, the application will be widened.
    Michael R. Hsing, MPWR 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 break out AI accelerator (XPU) revenue versus CPU server revenue within the enterprise data segment despite direct analyst questions (TD Cowen, Wolfe Research).
  2. No dollar content per GPU or per rack disclosed for AI accelerator power solutions.
  3. No explicit AI-attributable revenue figure provided; growth discussed only in terms of segment-level YoY floor guidance.
  4. Robotics revenue contribution described only qualitatively as 'can move the needle slightly' with no dollar figure or timeline.
  5. No disclosure of AI-specific R&D spend or capex allocation.
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Sourced from primary documents · See the methodology for the extraction approach.