Over the last 18 months, I’ve watched something strange unfold.
People with stacked resumes are being laid off.
Top-performing firms are slowing the recruitment process, even as demand continues.
And yet — the macro data claims all is well.
GDP is rising. Unemployment is low. Public markets have leveled off.
But under the surface, the question everyone’s actually posing is:
“If allegedly everything is fine, why does everything still feel so delicate?”
From where I sit — across a business school classroom, consulting projects, founder meetings, and VC calls— the answer became clear:
We’re not in a hiring freeze.
We’re in a belief freeze — a collective pause on what work is still worth paying for.
What’s Actually Going on in the Job Market?
The last decade, we lived in a world where growth was used as a rationale for headcount.
If you raised capital, you grew fast.
If you hit ARR milestones, you hired up functions.
If you released a product, you hired to support it.
That impulse — hire as you grow — is conditioned.
But that playbook is no longer working.
The operating assumptions underlying it no longer apply:
AI is breaking the link between productivity and headcount.
One high-leverage player and some AI software can now do what it used to take a crew.
Capital is no longer cheap — and efficiency is chic again.
Markets are paying for durability instead of velocity. For profit instead of people.
Risk is included in every strategic decision.
Companies don’t require commitments. They require choices.
It is not that companies don’t want to hire.
It’s that they no longer know which problems are still human problems.
The Big Shift: Skills Aren’t the Moat — Judgment Is
In all the hats I wear — consulting, investing, building, learning — I’m seeing the same thing:
The market no longer pays for competence.
It can only pay for judgment.
AI is commoditizing most skills of operation so they’re less expensive, quicker, and more abundant.
The question now is:
What are you going to do that won’t commoditize?
What can you contribute uniquely in an age of unlimited output?
Four abilities that I’ve seen continue to create major advantage — in AI, fintech, venture, and beyond:
1. Applied Judgment
Being able to think is not enough. What you need to be able to do is know where to direct attention.
In working on products in AI, the temptation is to go after what’s possible.
But judgment means you can say:
“This is good — but it’s not strategically positioned.”
“This has potential — but it undermines trust over time.”
In my business, some of our best decisions were the things we didn’t ship.
That is judgment in motion: turning complexity into movement — not action into static.
2. Translational Fluency
The best people I’ve worked with aren’t problem solvers.
They’re translators across spaces.
A founder trying to explain tokenomics to a regulator.
A consultant taking a machine learning model and expressing it to a revenue line.
A VC who can shift seamlessly between founder empathy and LP expectations.
We’re past the age of specialists vs generalists.
The future belongs to those who can bridge complexity across contexts.
3. Strategic Ambiguity Handling
In fintech and venture, ambiguity isn’t a phase — it’s the default state.
Our startup has pivoted twice in the last 8 months. Not because the tech changed — but because the market narrative did.
You can’t automate that.
You can’t spreadsheet that.
You can’t outsource that.
The ability to endure uncertainty — and still keep moving forward with confidence — is table stakes now.
4. Trust Architecture
This one’s more crucial than ever — and gets short changed.
In fintech specifically, trust is product — not features.
No, folks don’t just trust you with their money. They trust you with their perception of risk. That’s heavy. And it’s earned.
AI can simulate empathy.
But not accountability. Not forgiveness. Not believability through repetition and simplicity and concern.
That’s still my responsibility.
How I Balance the Load (Spoiler: I Don’t)
Lots of questions on how I handle four hats — MBA, consultant, founder, VC.
Short answer: I don’t juggle. I stage and re-allocate.
MBA is for long-term compounding. Frameworks, networks, mental models.
Consulting is mid-term leverage. It cuts through my thinking and influence.
The startup is skin in the game. It reminds me of execution at all times.
VC is future sensing. I have the luxury of betting on trends before they ossify.
All three feed each other. But I treat them like a portfolio.
I rebalance regularly. I trim what doesn’t compound.
I don’t go after optionality — I optimize for strategic coherence.
What This Means for Anyone Getting Caught in the Fog
If you’re in a pivot season…
If you’re feeling lost, underleveraged, or just invisible to the market…
Here’s the ugly truth I’m learning to lean into:
The market isn’t confused. It’s just being more transparent.
It’s no longer wowed by bullet points.
It doesn’t value safe resumes.
It’s asking a tougher question now:
Are you irreplaceable in a world where most everything can be automated or outsourced?
If the answer is no — don’t worry.
Just start developing the muscles that don’t commoditize:
Your judgment
Your under-pressure clarity
Your capacity to make trust inevitable
That’s what I’m counting on.
For my startup. For my VC career. For my own career.
And perhaps — it’s what you should be counting on, too.