Operational Alpha Newsletter: Three Strategies Are Emerging from the Mega-Funds

Apr 05, 2026

 

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OPERATIONAL ALPHA

The PE Operating Partner Newsletter  ·  Issue #2

📊 Large Funds: AI Strategies   ·   🏭 Integration Tax Calculator

💡 The AI Edge: GP Reality Check   ·   ⚠️ Real Use Case: Knowledge Bases

📙 What I’m Reading   ·   ❓ What’s New in AI

March 7, 2026  ·  7 min read  ·  Tom Head

Key Takeaways

▶  Thoma Bravo buying AI-disrupted software at a discount after 30% index decline

▶  Bertram Capital’s in-house AI lab: 200+ projects, named 2026 Top PE Innovator (top 2%)

▶  KKR investing $1B+ in Asia-Pacific data centres - owning the physical AI layer

▶  39% of GPs expect no material AI impact - while systematic AI delivers nearly 2x ROIC (BCG)

▶  Knowledge base deployment: 102 opportunities mapped, 9,300 hours/year recovered in one team

39%

of GPs expect no material AI impact in 2026

~2x

ROIC for PE portcos with systematic AI

9,300

hours/year recovered from one team’s knowledge base

AI insights for PE funds, portcos and operating partners. No fluff, just useful cases, ROI, and keeping at the edge of where we’re headed.


 

Large Funds: AI Strategies

The biggest PE firms aren’t just investing differently, they’re operating differently. Here’s how.

Thoma Bravo: Buying the SaaS-pocalypse

The ‘SaaS-pocalypse’ wiped 30% off the North American Tech Software Index since September. Thoma Bravo is buying into it. They completed the acquisition of Dayforce (workforce management, 6,700+ customers) in February and are evaluating FactSet - down 39% in six months on AI disruption fears. Thesis: Most software companies don’t have enough profit. Buy AI-disrupted software at a discount, deploy AI to drive margins, and exit at a premium.

Bertram Capital: In-House AI Lab

Bertram Capital ($4B+ in commitments, lower mid-market) built Bertram Labs - an in-house team of 12+ engineers, developers, and data scientists that has delivered over 200 projects across the portfolio. Digital marketing, e-commerce, analytics, application development, platform optimisation. BluWave named Bertram the 2026 Top PE Innovator of the Year - awarded to the top 2% of PE firms.

Source: BluWave / BusinessWire

KKR: Owning the Physical AI Layer

KKR acquired a 20% stake in Singtel’s regional data centre business for ~$800 million and sees potential to invest $1 billion+ in equity on data centre projects across Asia-Pacific. Bain Capital is making parallel moves in the same region. Investment thesis: own the physical layer that AI needs to exist - building the infrastructure everyone will need to run it.

Source: Bloomberg

The pattern: Smart acquisitions, embedding teams, owning infrastructure - a shared conviction that operational capability is the new alpha. Talk to us, we help PE fund portcos make efficiency real.

 


 

Integration Tax: Calculate Your Cost

Integration Tax

Every buy-and-build strategy carries a hidden cost: lost knowledge, delayed diagnosis, revenue leakage, and consultant hours. Most PE firms have never measured it.

Try the Calculator →

 


 

The AI Edge: The GP Reality Check

Bain & Company and StepStone Group surveyed 103 GPs across North America and Europe. The finding that made me look twice:

39%

of GPs don’t expect AI to have any material financial impact on portfolio companies in 2026.

Source: Bain/StepStone GP Outlook, March 2026

Meanwhile, PE-backed companies with systematic AI capabilities achieve nearly 2x return on invested capital versus those without (BCG). That’s not a rounding error. That’s a different asset class.

Three stats that explain the gap:

▶  79% of GPs expect multiples to stay flat. No more multiple expansion bail-outs (Bain/StepStone)
▶  75% of GPs assume margins will improve only up to 300 basis points between acquisition and exit (Bain/StepStone)
▶  50% of CEOs believe their job is on the line if AI doesn’t deliver measurable results (BCG AI Radar)

The industry has reached an inflection point. Multiples aren’t doing the heavy lifting. Alpha must be earned operationally - and a key driver of that is sharper application of AI through execution discipline.

Are the 39% who expect no AI impact being cautious? Or are they being left behind due to unfocused AI initiatives with no defined business case?

 


 

Real Use Case: Knowledge Bases

We’re working with a PE-backed global technology and engineering firm, 17,000+ people across 30 countries. 90%+ AI tool adoption across the organisation, but low strategic direction. Experimentation everywhere, coordinated value creation low.

We ran a high-impact (2-week) discovery sprint to map 100+ AI opportunities across the business. Scored, modelled then built the top three into a working knowledge base, content intelligence and automated repurposing platform.

9,300

hours per year recovered in one team alone

Source: G3NR8 deployment

What you need to know:

▶  102 opportunities mapped across the business
▶  Top 3 built and deployed
▶  9,300 hours per year recovered in one team alone
▶  Platform scales across teams

Why this matters for your portfolio: Every business has AI adoption happening, whether they planned it or not. The question is whether it’s being directed toward value creation or being let run wild. Talk to us - we turn uncoordinated AI experimentation into measurable impact, in weeks.

 


 

What I’m Reading

G3NR8: Operational Alpha - Our deep dive on why 47% of PE value creation now comes from operations, not leverage.

The GP Outlook for 2026 - 103 GPs surveyed. 40% say due diligence is where AI ROI (time saved or insights generated) is highest.

 


 

What’s New: AI News & Trends

AI fears temper PE data deals - FactSet down 39%. Thoma Bravo and Hellman & Friedman evaluating. The AI discount is real. (Reuters)
Anthropic sues Pentagon - AI governance and defence sector boundaries being tested
M&A boom rolls through 2026 - $4.9 trillion record in 2025. AI mega-deals driving frenzy, but capital at 30-year low. (CNBC)
A16z Top 100 AI consumer apps - The latest ranking of where AI adoption is actually happening
$474B for AI infrastructure - Capital racing toward data centres, secondaries, and energy. Private markets reshaping fast. (NY Report)

 

Sources & References

Bain/StepStone - GP Outlook March 2026 - 39% expect no material AI impact, 79% flat multiples, 75% margins +300bps max
BCG - Private Equity’s Future (Feb 2026) - PE + systematic AI = nearly 2x ROIC
BCG AI Radar - Feb 2026 - 50% of CEOs: job on the line if AI doesn’t deliver
BluWave / BusinessWire - Bertram Capital: 12+ engineers, 200+ projects, top 2% PE firms
Bloomberg - KKR: $800M Singtel stake, $1B+ Asia-Pacific data centre pipeline
Reuters - FactSet down 39% on AI disruption fears, Thoma Bravo evaluating
CNBC - $4.9T M&A record in 2025
NY Report - $474B sought for AI infrastructure

 

Frequently Asked Questions

What AI strategies are the largest PE funds deploying?

Three strategies are emerging. Thoma Bravo is buying AI-disrupted software at a discount after the 30% SaaS index decline. Bertram Capital built an in-house AI lab with 12+ engineers delivering 200+ projects. KKR acquired a 20% stake in Singtel’s data centres for $800M, owning the physical infrastructure AI runs on.

Why do 39% of GPs expect no material AI impact in 2026?

Bain and StepStone surveyed 103 GPs. The 39% likely reflects unfocused AI initiatives with no defined business case rather than genuine caution. Meanwhile, PE-backed companies with systematic AI achieve nearly 2x ROIC versus those without (BCG). The gap between intent and execution is where the opportunity lives.

What is the integration tax in private equity?

The hidden cost of buy-and-build: lost knowledge, delayed diagnosis, revenue leakage, duplicated systems, and consultant hours. Most PE firms have never measured it. Industry data shows firms underestimate integration costs by 40-60%.

How can AI knowledge bases create value in portfolio companies?

At a PE-backed firm with 17,000+ people across 30 countries, a 2-week discovery sprint mapped 102 AI opportunities. The top 3 were built into a working knowledge base and content intelligence platform, recovering 9,300 hours per year in one team alone. The platform scales across teams.

What is the SaaS-pocalypse and how are PE firms responding?

The 30% decline in the North American Tech Software Index since September, driven by AI disruption fears. Thoma Bravo is buying into it, acquiring Dayforce (6,700+ customers) and evaluating FactSet (down 39%). Their thesis: buy AI-disrupted software at a discount, deploy AI to drive margins, exit at a premium.

What do the latest GP surveys reveal about PE value creation?

79% of GPs expect multiples to stay flat. 75% assume margins improve only up to 300 basis points. 50% of CEOs believe their job is on the line if AI doesn’t deliver (BCG AI Radar). Alpha must now be earned operationally through sharper strategy, better data, and execution discipline.

 

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This is Issue #2 of Operational Alpha - the bi-weekly AI briefing for PE operating partners. New issues publish every other week.

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