AI Just Changed Private Equity Overnight. Copy The Playbook.
I asked a model to launch a $2B services roll up.
It named the fund, designed the logo, scraped every founder over 55 within a 50 mile radius of a metro with above average household income, and ranked them by “succession anxiety score.”
It built the investment committee memo before we met the company.
It also drafted the management presentation, just in case we won.
We closed three platforms in a quarter.
The AI handled diligence.
Read 40,000 contracts in minutes.
Flagged “cultural misalignment risk” based on Glassdoor reviews and the CEO’s punctuation habits.
Quality of earnings was completed in 48 hours.
The model adjusted EBITDA for “owner lifestyle leakage” and “suboptimal pricing architecture.”
Magically, every deal cleared our hurdle.
The 100 day plan wrote itself.
Step 1: Centralize data.
Step 2: Dynamic pricing.
Step 3: AI driven lead gen.
Step 4: Margin expansion.
Every portfolio company now has a dashboard that updates in real time.
Revenue still lags.
But the dashboard is extraordinary.
We replaced two CFOs with “AI enabled finance copilots.”
Board packs are 120 slides of predictive insights.
No one reads them, but they are predictive.
Our operating partners now prompt instead of operate.
Value creation is largely a vocabulary upgrade.
“Headcount reduction” became “workforce algorithm optimization.”
“Price increases” became “elasticity experimentation.”
“Missed budget” became “model drift.”
Our biggest uplift came from an AI generated comparable set.
Apparently every mediocre asset is now a high growth data platform.
LP updates are flawless.
The narrative arc is tight.
The DPI is still theoretical, but the IRR scenario analysis is beautiful.
We used to underwrite leverage.
Now we underwrite optionality.
We used to worry about integration.
Now we have an integration chatbot.
Everything is faster.
Everything is smarter.
Everything is a slide.
Cash flow remains stubbornly human.
But relax.
The model says 2029 looks strong.