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AI Transformation in Private Equity

19:13 recording · EN · 7 speakers

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Executive Summary AI
  • Humac Arthur, Chairman of Bain's Global Private Equity Practice, introduces the episode as a synthesis of interviews with six leading investors—Robert Smith (Vista), David Toms (HG), John Maldonado (Advent International), Rob Lucas (CVC), Pete Stavros (KKR), and David Samber (Apollo)—on AI's real-world impact across portfolio companies and internal firm operations.0:00
  • Robert Smith argues less than 1% of enterprise data is usable by current LLMs, resulting in widespread piloting but minimal full-scale agentic deployment—and strategic buyers now prioritize companies that have already embedded AI-driven workflows to capture internal synergies.1:19
  • David Toms describes using friendly competition via anonymized DSO benchmarking across HG’s portfolio to drive organic adoption without top-down mandates, while John Maldonado reports 80+ AI initiatives across Advent’s 30 North American portfolio companies, with high conviction in churn identification, process automation, and consumer intelligence.4:54
  • Pete Stavros outlines KKR’s systematic approach: AI diagnostics at ~250 portfolio companies, mandatory experiments per company, vendor testing across use cases, and embedding AI engineers—but concludes AI remains an incremental value creation lever, not yet transformational.13:40
  • David Samber frames AI as a force multiplier—not a replacement—for existing capabilities like machine learning, emphasizing real-time operations, customer service automation, and internal investment process enhancements, while Rob Lucas stresses leadership must model AI usage daily to overcome exponential-change inertia.15:52

Brief overview

AI adoption in private equity remains largely experimental, with meaningful transformation hindered by data limitations, cultural resistance, and the mismatch between rapid technological evolution and human organizational change.

  1. Data access, not models, is the bottleneckRobert Smith states 'less than 1% of the enterprise data can be absorbed by these large language models'—limiting scalability despite heavy experimentation.
  2. Culture beats code in driving adoptionDavid Toms shows benchmarking + peer collaboration—not mandates—sparks self-motivated improvement; Rob Lucas insists leaders must use AI daily to normalize it.
  3. AI is incremental, not revolutionary—yetPete Stavros says across KKR’s 250+ companies, AI is 'helpful, but still a long way from transformational'—mostly delivering marginal gains, not deal-defining outcomes.

Questions this recording answers

10 questions, each answered where it is said
Has AI transformed private equity firms and their portfolios yet?

Not yet, according to the host and the investors interviewed. There is tremendous experimentation and piloting but little hard data on full transformations outside a few bleeding-edge software investors. KKR's Pete Stavros says AI is helpful but still a long way from transformational, an incremental value creation lever rather than the driver of deal outcomes.

Answered around 15:18
Why is so little enterprise AI fully scaled?

Vista's Robert Smith says less than 1% of enterprise data can be absorbed by large language models. The result is very high usage but very little fully scaled enterprise or agentic work. He adds that culture, not technology, is the most important part of change management CEOs face.

Answered around 1:35
Does an agentic AI capability help private equity firms exit companies?

Yes, says Robert Smith. Vista requires every portfolio company to have a working agentic angle. In a recent exit, beyond growing revenue more than three and a half times and EBITDA more than five times, the strategic buyer valued the agentic capacity it could spread across its own business for synergies.

Answered around 2:22
How should companies protect their data when using AI models?

Robert Smith, citing Satya Nadella at Davos, says companies must take the models to the data rather than the data to the model. Bringing models into air-gapped or on-premise environments avoids leeching enterprise value into a model someone else owns, and showing how to do this safely will increase adoption.

Answered around 4:11
How can private equity firms get portfolio companies to change behaviour?

HG's David Toms relies on friendly competition. To cut DSOs by five days, HG ranked its roughly 50 similar companies and told each CEO and CFO where they sat. Companies asked how to improve and whom to talk to, and top performers happily shared their methods, so no mandate was needed.

Answered around 5:12
Where is AI delivering results at Advent International?

John Maldonado says Advent runs over 80 AI initiatives across 30 North American portfolio companies. The most traction is in process automation, consumer intelligence, core operating workflows, and especially churn identification and management. For some of these it is past experimentation and has high conviction in tools that improve productivity, margins and decisions.

Answered around 7:07
What does Advent's investment committee AI robot do?

The robot is a non-voting observer trained on all past investment committee memos and members' questions to deal teams. It suggests questions to explore, shows what changed since a memo was presented weeks earlier, and flags inconsistent assumptions across deals such as interest rates and FX. Advent started using it three months ago.

Answered around 9:01
How does CVC push its people to adopt AI?

Rob Lucas took CVC's leadership to Singularity University around January 2020 and has factored AI into everything since. He uses it daily, tells investment teams on his Monday call that usage is monitored, and says that at CVC not using AI puts you in the bad books.

Answered around 12:11
How does KKR run AI experiments across its portfolio?

With nearly 250 companies, KKR brings in an outsider for an AI diagnostic at each and asks every company to run at least one experiment. It tests dozens of vendors across a grid of companies and applications, rolls out winning matches portfolio-wide, and wants AI engineers in its teams and companies.

Answered around 13:53
How is Apollo using AI in its portfolio and internally?

David Samber says Apollo thinks about portfolio companies, how it invests and how it works. Teams help with content creation, digital marketing, real-time operations and pricing, with about 15 companies exploring automated customer service. Internally, prompts and agents are entrenched in investing, and AI is a force multiplier, not a substitute.

Answered around 17:32
Key Quote
“Less than 1% of the enterprise data can be absorbed by these large language models.”
— Robert Smith1:35
Key Quote
“We find the single most effective thing is to rely on people's natural desire to help each other, coupled with their natural desire to compete.”
— David Toms5:12
Key Quote
“It's not a question of if you use AI, you're in the bad books. If you don't use AI, you're in the bad books.”
— Rob Lucas12:46
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