Your LPs Read The WSJ Too
The 3 Questions Coming This Morning, like a brick thru your window, and a rare freebie office hours to help you deal with them
The WSJ just told your LPs that AI is eliminating tens of thousands of white-collar jobs right now. Not in five years. Not “eventually.” This week.
And look, when mainstream financial press starts putting specific numbers on job cuts (200K in finance alone), your LPs are reading it over coffee and thinking about their portfolios.
This morning, they’re going to call you with questions you probably haven’t prepared for.
So let’s cut the s***. Here’s what’s coming:
Question 1:
“Show me your AI efficiency stack. What have you automated and what did it replace?”
Translation: “Are you spending my management fees like it’s 2019 or 2025?”
Your LPs just read that 200,000 finance jobs are getting cut because AI can do the work cheaper and faster. Now they’re wondering why you still have a full back-office when AI can handle investor reporting, compliance tracking, and deal flow screening.
“We’re exploring AI?” Uh yeah, that’s a failing answer.
They want: “We’ve automated investor reporting, cut 15 hours/week of manual work, and redeployed that capacity to sourcing.”
The trap: If you can’t answer this for your own 10-person fund, how are you going to help portfolio companies with 200 employees navigate this transition? I think you can understand why they’re asking.
Can’t answer this question confidently? You have 24 hours.
We’re doing special emergency office hours TODAY (normally for Platform members only) to walk everyone through the GP Velocity diagnostic and how to answer these LP questions with actual data.
Join here - no charge. It’s at 12pm PT (3pm ET, 8pm London, 10pm Tel Aviv).
We’ll run your numbers live so you’re prepared for Monday.
Question 2: “How are you screening portfolio companies for AI displacement risk?”
Translation: Are you investing in companies that will disrupt or get disrupted in about 18 months?
White-collar displacement just became a sector risk, not just some hand-wavey macro trend.
If you’re backing B2B SaaS companies selling to departments that are getting automated away, like customer service, back-office operations, mid-level management, your exit environment just got harder than pitching the Sweetgreen partnership to the Lynyrd Skynyrd 2026 summer tour.
LPs want proof you’re thinking about:
Which business functions survive widespread AI adoption? Which don’t?
Are your portcos on the winning side of this shift?
What’s your take on whether having a big team is actually a competitive advantage anymore?
The killer follow-up: “Give me three examples of portfolio companies using AI to improve unit economics.”
If you can’t speak to this, because you spotted it during DD, it means you weren’t paying attention.
If you can’t answer with specifics, like ”Company X reduced CAC by 40% using AI SDRs” or “Company Y cut support costs 60% with AI agents,” you just signaled you’re not actually working with your companies on the most important operational question of 2025.
Why should any LP trust you to place $10M on AI if you can’t describe how it’s being used on some $180k bet you made 26 weeks ago?
Question 3: “Why shouldn’t I just back a larger fund that’s already operationalized AI?”
Translation: What’s the “emerging manager premium” worth if you’re not more efficient than established funds?
This is the existential one.
The emerging manager advantage used to be: better access, more hustle, tighter focus. Now LPs are adding operational efficiency to that list.
If you’re charging 2/20 but running operations like it’s some 2019 Old Town Road action while established funds have already implemented AI across their infrastructure, you just became the higher-cost, lower-efficiency option.
The brutal reality: You’re supposed to be ahead of the curve.
If you’re behind on AI in your own ops, LPs won’t trust you to guide portfolio companies through this transition. Here’s that certs page.
These Three Questions Collapse Into One Core Anxiety:
“Is my GP “the future” or about to get disrupted?”
The WSJ piece isn’t just about job cuts. It’s about competitive advantage. And LPs are now wondering if you have it.
What You Should Do Before Monday
If you can’t confidently answer those three questions right now, you’ve got a problem.
Not because you need to have perfect AI implementation across your fund. That’s not realistic.
But because you need to demonstrate you’re thinking seriously about this, for your operations AND your portfolio.
Here’s where to start:
Run the GP Velocity diagnostic to understand your current fundraising efficiency, lost fees, capital formation problems and where AI-driven operational improvements could accelerate your timeline.
Audit your fund operations: What are you doing manually that could be automated? What’s your cost-per-LP-managed? Where are you overstaffed relative to AI capabilities? (We can easily tell you what can be fixed, say, in 1-2 weeks, and what can be done quickly and inexpensively).
Portfolio review: Which companies are displacement risks? Which are positioned as disruptors? What’s your value creation plan to help each navigate AI implementation?
The LPs who read that WSJ piece aren’t going to stop investing in emerging managers. But they’re absolutely going to start repricing the emerging manager premium based on operational efficiency.
Don’t wait for the call to figure out your answer. Get ahead of important LP questions, so that they will serve as your reference LPs. Show that you are proactive and a good steward of capital.
Need AI Infrastructure Fast? We’ll Help You Build It.
If you’re a Capital OS Platform member ($1K/year), we’ll intro you to one of our developers on Discord who can quickly spin up:
Data warehouse infrastructure for portfolio tracking and LP reporting
AI-powered LP relationship management systems
Deal flow origination and screening stacks
We actually have a team of developers who build this infrastructure for fund managers. See their full certifications here. They can spin up data warehouses, AI-powered LP relationship systems, and deal flow origination stacks. You do need to be a member of our fund manager community to work with them, but once you join, you get access to the same development resources we use internally. “No charge. We work with 147+ fund managers who are expected to outperform established funds. Giving them access to the same development resources we use internally isn’t optional. It’s how we ensure they can actually execute on what we advise.
You don’t need to figure this out alone. Join Capital OS Platform and get access to the infrastructure and technical resources to answer Monday’s questions with actual implementation, not future plans.
Join Capital OS Platform here and get the Discord intro within 1 business day.
Managers who get ahead of this will have smoother fundraises. Managers who don’t will answer more questions. Simple as that.
But we’re not here to manufacture fear. We’re not into FUD. We’re into walking into s*** with your eyes open.
This is just information. What you do with it? Completely up to you. If AI ops efficiency isn’t your thing, cool—just own that choice instead of stumbling into it.
-ajm
P.S. If you’re an LP reading this wondering whether your GPs are prepared for these questions, forward this to them now. Waiting until their next fundraise to surface these concerns isn’t prudent stewardship. It’s conflict avoidance pretending to be patience. Your fiduciary duty is to ask hard questions early on in the game, not to let managers walk into preventable objections later.