Private equity has always been a scale game. Success meant growing assets under management, hiring larger teams, and writing bigger checks. Not necessarily because that was optimal, but because the economics demanded it. The cost to source deals, underwrite them, manage reporting, and build relationships was high. You needed people. Lots of them.
That’s changing. Fast.
AI is digitizing the knowledge work that used to require teams of analysts, associates, and VPs. As that happens, the entire economic model of private equity is up for grabs. And we’re going to see the rise of something that’s been nearly impossible until now: profitable, high-performing, one- or two-person private equity firms.
This isn’t a theory. It’s already happening.
I’m building one.
The Old Economics of Private Equity
Private equity has never been set up to serve small businesses efficiently.
Even a “small” fund—say, $200M—typically targets $10–20M per investment. That’s not necessarily because the best investment opportunities are at that size. It’s because the fund’s fixed costs (headcount, systems, legal, compliance, investor relations) make anything smaller hard to justify.
That model leaves a massive portion of the market underserved.
Think of an owner-led service business generating $2-4 million of annual profit. Strong business, solid margins, long-term growth potential. But too small for traditional PE. Especially if the owner-operator doesn’t want to sell 100% of the business and retire.
Until recently, there wasn’t a great solution for these owner-operators. Either you grew large enough to attract growth capital, or you didn’t.
But AI is changing what it costs to run a fund – and the options available to smaller businesses.
The Shift: What Happens When AI Does More Work?
AI isn’t replacing investors. It’s replacing the need for large teams to support them.
Here’s what’s already possible today:
- Origination: Intelligent search agents can identify and segment prospects, draft personalized outreach, and track engagement.
- Diligence: AI can extract key details from financials, summarize contracts, generate questions, and even benchmark performance.
- Modeling and memos: LLMs reduce time spent building spreadsheets and writing analysis by orders of magnitude.
- Reporting: AI can generate investor updates, dashboards, and insights from structured and unstructured data.
- Post-close value creation: AI tools can augment marketing, sales, recruiting, and more—for the fund and the companies it invests in.
These tools don’t remove the need for judgment. They remove the bottleneck of headcount.
Suddenly, a 1-2 person investment firm can execute with the same (or higher) quality as a 10-person team. And because the overhead is dramatically lower, smaller investments become viable.
A New Model: The Micro PE Firm
So what does this look like in practice?
- A small GP or partnership raises a modest fund or SPV capital.
- They use AI agents and systems to augment sourcing, diligence, and operations.
- They focus their time on what matters: CEO relationships, value creation, and investor trust.
- They write sub $10M checks—not because they’re constrained, but because that’s the size where they see the most opportunity and alignment.
And most importantly: they can do all this without the institutional baggage. That makes them faster, more flexible, and often more aligned with founders.
You get a different kind of private equity firm. One that doesn’t need to own 100% of your business. One that doesn’t need to flip you in five years. One that can act more like a partner than a buyer.
This Is Personal: The Sidecar Model
When I launched Sidecar Capital Partners, this was the bet: that we could run a high-quality investment firm with a small footprint and a different posture.
I didn’t hire a team of associates. I didn’t need to.
We use AI every day to power our sourcing, diligence, reporting, and internal workflows. That lets me spend my time on the parts of the job that matter most: meeting founders, designing win-win partnerships, and helping businesses grow after we invest.
It also lets us invest at the size most firms avoid, but where the best long-term opportunities often sit.
We’re not trying to be the biggest. We’re trying to be the best partner to owner-led service businesses who want to grow without giving up control or selling out too soon.
That wouldn’t have been possible just a few years ago. It is now.
Implications for Operators, Investors, and the Industry
The shift isn’t just about technology. It’s about access and alignment.
For operators:
- More capital partners will emerge who can work on your terms—writing $2M checks, not just $20M ones.
- More options to stay in control while unlocking growth.
- More partnerships that focus on value creation, not just financial engineering.
For investors (LPs):
- Access to differentiated investment opportunities in the lower middle market.
- Smaller, more focused firms with better alignment and less bureaucracy.
- Opportunities to back operators and specialists, not just brand-name fund managers.
For the industry:
- The definition of a “real” PE firm expands.
- New entrants will challenge incumbents—not with headcount, but with tools, focus, and relationships.
- The firms that adapt early will win. The ones that don’t may struggle to justify their cost structures.
Frequently Asked Questions (FAQ)
What is the biggest impact AI is having on private equity?
AI is fundamentally changing the economics of private equity by automating knowledge work that previously required large teams. This allows small firms, even one-person GPs, to operate efficiently and profitably while targeting smaller deal sizes that traditional PE firms typically avoid.
Can AI completely replace investment professionals in private equity?
No, AI isn’t replacing investors themselves (at least not yet). Rather, it’s replacing the need for large support teams. AI handles tasks like origination, diligence, modeling, and reporting, but human judgment, relationship-building, and strategic decision-making remain essential.
What size investments do these new AI-powered PE firms typically make?
These new, leaner PE firms often write checks in the $1-10M range—not because they’re constrained, but because that’s where they see the most opportunity and alignment. This serves a previously underserved segment of the market.
How does this trend benefit founders of small to mid-sized businesses?
Founders gain access to more capital partners who can work on their terms, with more options to maintain control while unlocking growth. These new partnerships focus on value creation rather than financial engineering, and don’t necessarily require founders to sell 100% or adopt institutional governance immediately.
What specific AI tools are these small PE firms using?
They’re using AI for intelligent search and prospect identification, financial data extraction, contract analysis, automated modeling and memo generation, investor reporting, and post-close value creation initiatives across marketing, sales, and recruiting.
How does this trend affect limited partners (LPs) who invest in PE funds?
LPs gain access to differentiated deal flow in the lower middle market through smaller, more focused funds with better alignment and less bureaucracy. They also have opportunities to back operators and specialists rather than just traditional brand-name fund managers.
What types of businesses benefit most from these new PE approaches?
Founder-led service businesses that are strong and profitable but too small for traditional PE (like those generating around $5M of EBITDA) benefit most. These businesses often have solid margins and long-term growth potential but have previously been underserved by the capital markets.
Closing Thought
AI won’t replace private equity professionals. But it will replace the structures that no longer serve a purpose.
We’re about to see a new generation of PE firms—smaller, sharper, and more aligned with the companies they invest in.
At Sidecar, this isn’t a thought experiment. It’s our operating model.
This transformation isn’t just inevitable—it’s already underway. The winners in this new landscape will be those who embrace AI not as a cost-cutting tool, but as a way to reimagine what’s possible in private equity.
For owner-operators who’ve been overlooked by traditional PE, this evolution creates unprecedented opportunities. For investors seeking better alignment and returns, it offers a compelling alternative.
The future of private equity isn’t about massive teams in glass towers. It’s about nimble operators using powerful tools to create partnerships that actually work.