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WireSift Research · AI Adoption Tracker · Q1 2026

KKRKKR & Co. Inc.

AI adoption · Q1 2026 earnings call

FinancialsScaling
AI mentions
12
extracted from this call
Max specificity
3 / 5
operational, no hard numbers
AI revenue
Not disclosed
no breakout in this call
AI was discussed on this call primarily through three lenses: (1) AI as a risk factor for KKR's portfolio companies, particularly in software and business services, with management acknowledging AI disintermediation risk but asserting broad portfolio resilience; (2) AI as a value-creation tool deployed across 150+ KKR portfolio companies to automate workflows, enhance products, and drive growth, with management noting early EBITDA uplift but declining to quantify; and (3) digital infrastructure/data centers as a major investment theme directly tied to AI-driven hyperscaler capex. Management was constructive but vague on quantification, and explicitly acknowledged it is 'very early' in understanding AI's full impact.
Public Company AI Adoption Index
Adopter
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Composite
63/ 100
#51 non-tech · #100 overall · #19 in Financials
Depth · 40%
76
stage: scaling · max spec: 3
Disclosure · 40%
40
2 quant outcomes
Breadth · 20%
85
3 scopes
Adoption scopes:infrastructure_buildproduct_embeddedinternal_use
Every claim, sourced

12 AI mentions from this call.

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

  • T4Q&A· IR· Infrastructure build
    Analyst questionparaphrased· Wolfe Research· Steven Chubak
    wanted to ask on strategic holdings and AI risk more broadly.
    digital infrastructure remains a massive theme for us. We've deployed over $40 billion of capital KKR plus our partners across a variety of digital infrastructure themes have over a 20% gross IRR return to date in terms of that activity for us.
    Craig Larson, KKR earnings call
  • T4Prepared remarks· CFO· Infrastructure build
    our cost and the sale of CoolIT Systems, a global leader in liquid data center cooling for almost 15x our cost.
    Robert Lewin, KKR earnings call
    ProductsCoolIT Systems
  • T3Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Autonomous Research· Patrick Davitt
    have you done a scrub to identify how exposed those positions are to potential AI disintermediation of things like India outsourcing?
    the answer to your question is yes, we have scrubbed our India portfolio. No don't have any elevated level of concern there. you're right. One thing you watch is what does this mean for employment in India, given the amount of that economy that historically has been driven by what's happened with outsourcing to that part of the world, and we have seen hiring across that part of the Indian business sector come down meaningfully, dramatically. We are not exposed to that. If anything, I think right now as we sit here today, given our focus on infrastructure, electricity grids and otherwise in India. We've been getting ready for what we see as AI deployment and the opportunity set across digitalization in that market
    Scott Nuttall, KKR earnings call
  • T3Q&A· IR· Product-embedded AI
    Analyst questionparaphrased· Wolfe Research· Steven Chubak
    about 1/3 of the last 12-month EBITDA is concentrated in the business services sector. It's an area that's viewed as being more at risk of AI disintermediation.
    software companies broadly are performing. So looking at revenue and EBITDA growth, we're still seeing healthy year-over-year revenue EBITDA growth, I think high single digits. But at the same time, obviously, in the quarter, we saw weakness across equity markets in the software space. So given the way that our valuations work, this dynamic from a public market standpoint, had a negative impact on the markets, right? So when you put those 2 pieces together, really, despite the operating and financial performance marks across the software names largely declined in the quarter.
    Craig Larson, KKR earnings call
  • T3Q&A· IR· Infrastructure build
    Analyst questionparaphrased· BNP· Arnaud Giblat
    I've got a question on data centers.
    on data center, specifically, we've got 6 global data center platforms. In terms of your question on frothiness, look, we're going to be thoughtful in how we invest. And I think you've seen lots of capital put against this opportunity. And so you should expect to continue to see us be very disciplined as we look at opportunities. We're going to care about who our counterparties are. We're going to care about location. We're going to look to continue to be thoughtful around terms.
    Craig Larson, KKR earnings call
  • T3Q&A· IR· Internal use
    Analyst questionparaphrased· Wolfe Research· Steven Chubak
    wanted to ask on strategic holdings and AI risk more broadly.
    AI at this point is deployed across 150-plus companies to automate workflows, enhanced products, drive new growth. And I'm sure we have multiple AI initiatives across every one of those companies. And so as a firm, how we're focused on this is ensuring that our operational team at Capstone, we talk about Capstone a lot is helping ensure that lessons travel across our teams and our companies.
    Craig Larson, KKR earnings call
    PartnersCapstone
  • T2Q&A· IR· Product-embedded AI
    Analyst questionparaphrased· Morgan Stanley· Michael Cyprys
    Curious where specifically you're seeing AI-driven revenue uplift versus AI-driven cost savings in the portfolio? And how might you quantify that so far? And curious any expectations as you look out from here, and I was also hoping you can elaborate a little bit to your earlier point on what's been easy so far? What's been hard and any sort of lessons learned from adoption?
    It has been interesting to see the evolution of AI to date and how it's almost started in ways that are interesting, like I think on various language applications. It's just interesting to see really begin to disrupt that part of the landscape most broadly first. But as we think about things like broad efficiencies whether that's sales force or operating efficiencies across the platforms and workers. And there's going to be even broad businesses and opportunities in things like robotics or you think of what AI can do in terms of in terms of the health care space.
    Craig Larson, KKR earnings call
  • T2Q&A· IR· Internal use
    Analyst questionparaphrased· Morgan Stanley· Michael Cyprys
    Just wanted to ask about AI deployment across portfolio companies. Curious where specifically you're seeing AI-driven revenue uplift versus AI-driven cost savings in the portfolio? And how might you quantify that so far?
    we're very early in broadly what we think the opportunity set is, I think we're seeing broad adoption of AI and the next step of that is really understanding the execution and bringing the power of AI to life, both from a revenue standpoint as well as an EBITDA standpoint. I'm sure there'll be points in time or a point in time when it will make sense for us to both talk about specific progress as well as guideposts for us. To be clear, we are seeing an EBITDA uplift broadly across the portfolio.
    Craig Larson, KKR earnings call
  • T2Q&A· IR· Product-embedded AI
    Analyst questionparaphrased· Wolfe Research· Steven Chubak
    wanted to ask on strategic holdings and AI risk more broadly.
    from an underwriting standpoint, kind of the part of the question that you focused on. Look, we're focused on AI, how it affects margins, pricing power, workflow relevance and cash flow resilience. And so the focus is not just on AI exposure, it's really on the durability of unit and business economics, and that's through trailing lines as well as on the go forward.
    Craig Larson, KKR earnings call
  • T2Q&A· IR· Product-embedded AI
    Analyst questionparaphrased· Wolfe Research· Steven Chubak
    wanted to ask on strategic holdings and AI risk more broadly. Certainly encouraging to hear the operating earnings target for strategic holdings get reaffirmed. Digging into the sector exposures, about 1/3 of the last 12-month EBITDA is concentrated in the business services sector. It's an area that's viewed as being more at risk of AI disintermediation. I was hoping you could speak to just how you've underwritten AI risk in the strategic holdings portfolio and even across the border universe of KKR portfolio companies?
    the implications won't be a surprise to anybody on this call from AI are really far reaching, right? Like the barriers to adoption are low gains are real. AI can be very helpful at parts of workflows. And there will be businesses where the fundamental strategic positioning is either materially enhanced or in some cases, on the flip side could be replaced.
    Craig Larson, KKR earnings call
  • T2Q&A· IR· Internal use
    Analyst questionparaphrased· Autonomous Research· Patrick Davitt
    we are starting to get more incoming around the potential for AI to be a problem for Indian positions in both private equity and real assets. I think India has been a big part of your Asian investment strategy. So could you update us on the exposure there? And more specifically, have you done a scrub to identify how exposed those positions are to potential AI disintermediation of things like India outsourcing?
    when we go through the exercise and look across the portfolios, like again, that's obviously done on a global basis. That's both with a focus on whether that's revenue or EBITDA growth, whether that's AI exposure, whether that is the investment teams and the approach to AI from a defensive and an offensive standpoint.
    Craig Larson, KKR earnings call
  • T2Q&A· IR· Infrastructure build
    Analyst questionparaphrased· BNP· Arnaud Giblat
    I've got a question on data centers. You mentioned earlier that you're investing actively there. I was just wondering if you could flesh out a bit more. In particular, I think you've signed a $50 billion JV with Energy Capital Partners.
    the CapEx we're seeing out of the hyperscalers continues to be massive, if anything, it feels like it continues to accelerate. And all of that builds on what's already a pretty powerful backdrop given tailwinds in cloud.
    Craig Larson, KKR 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-driven revenue uplift or cost savings across the portfolio despite a direct analyst question from Michael Cyprys (Morgan Stanley) asking for specific metrics and KPIs.
  2. No specific financial metrics provided for AI's contribution to EBITDA across portfolio companies — only qualitative acknowledgment of 'EBITDA uplift broadly across the portfolio.'
  3. Steven Chubak (Wolfe Research) asked for KPIs to handicap AI disintermediation risk in strategic holdings; management provided qualitative framing only, no specific metrics.
  4. No disclosure of KKR's own internal AI usage or productivity gains from AI tools used within KKR itself.
  5. Data center JV with Energy Capital Partners ($50 billion) was referenced by an analyst but management did not confirm the figure or provide specific return expectations, only noting discipline and thoughtfulness.
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Sourced from primary documents · See the methodology for the extraction approach.