Talent market fit
10x the dollars in. 10x the liquidity out. What happens to the talent market?
In 2002, eBay acquired PayPal for $1.5B. We thought the bar was set then but that acquisition was only a small sign of what came next.
The "PayPal mafia" went on to found or fund some of the biggest names in tech such as LinkedIn, Affirm, Palantir, Yelp, Tesla, amongst others. Peter Thiel's first fund seeded Facebook and Elon Musk literally took to space.
One $1.5B acquisition produced an entire generation of Silicon Valley. So what happens when the amount of capital and liquidity created by AI companies is an order of magnitude larger?
We're about to find out.
3 IPOs = 1 historic moment
OpenAI
Already let 600+ employees collectively pocket $6.6B in a single pre-IPO tender offer in October '25.
Together that's ~$3.6 trillion in value hitting public markets and a meaningful portion of that is going directly to early investors and employees.
A closer look at some of the receipts to set the scene
- 4,400+ current and former SpaceX employees are expected to become millionaires
- Approx. 400 of them will clear $100 million with wealth distributed across non-exec employees including welders, technicians, machinists, and factory workers
- Anthropic ran a $5-6B employee tender offer in early April 2026 at a $350B pre-money valuation marking its first real liquidity window for employees
- OpenAI employees who joined in 2019 have seen their equity grow more than 100x
- Cumulative OpenAI tender offers since 2021 have likely produced 300–500+ employees who've each realized $10M+ (before any IPO)
I think wealth creation is putting it lightly…
But we've seen this before, just never at this scale
Every great technology cycle creates two things:
It starts with a major liquidity event, then:
The flywheel
It's a flywheel, and once it starts spinning…
Chapter One
But why this AI cycle is genuinely different
While every tech cycle largely follows the above playbook, three things make this one structurally unlike anything prior.
1The capital is unprecedented.
The equity value being created isn't incrementally larger than prior cycles but is multiples larger in absolute terms. We're not talking about a few millionaires downstream. This is a wealth transfer event with no modern precedent.
2The talent density is extraordinary.
The organizations at the center of this moment have assembled unusually concentrated pools of technical and entrepreneurial talent. These are brilliant folks who have turned down everything else to be there.
CTOs of scaled, public companies are leaving their titles behind to join as individual contributors/engineers. To put into perspective, something pretty unusual is happening at Anthropic (and this is just one example)...
- Mike Krieger, co-founder and CTO of Instagram, stepped back to join as a hands-on builder
- Peter Bailis, CTO of Workday, also left to join the AI lab as a member of the technical staff
- Bryan McCann, co-founder and CTO of You.com, left to join as an engineer
Every prior tech cycle produced great companies that attracted ambitious people on the way up. This one is attracting people who've already made it to the very top of the org chart and funneling them back into the flywheel.
3Companies stayed private far longer.
Unlike prior cycles where liquidity came in 4-6 years, employees at today's AI labs have spent 7-15 years inside private companies before any meaningful exit. That extended timeline means:
- Larger ownership stakes = more time to accumulate $
- More operating experience = won't be young employees founding companies on theory but have actually built at the highest level
- Deeper networks = relationship capital that money can't buy
These are founders and talent that will have the cash, reps, and experience. Everything to do it again…only bigger.
Chapter Two
What history tells us
The best way to understand where this all goes is to look at where it's been. The pattern is consistent. Only the magnitude keeps changing.
The dot-com and post-dot-com era (1998 - 2005)
The marquee names: Google, PayPal, Salesforce
What happened:
- Google's 2004 IPO raised $1.6B and created 7 billionaires and approximately 900 millionaires from early stockholders
- $1.5B acquisition by eBay birthed the PayPal Mafia as seen above (folks behind LinkedIn, Yelp, Tesla, YouTube, etc.)
- According to one analysis of alumni networks, this group has collectively been involved in 575 companies as investors, executives, advisors, or board members, raising over $200 billion and generating exits totaling more than $430 billion
- Salesforce's 2004 IPO wasn't the biggest exit in the room but the team legitimized the SaaS model and the foundation for billions in venture capital that followed
What this taught us. Even just one successful company can effectively produce an entire entrepreneurial ecosystem. Exit prices, incredible as they are, almost pales in comparison to the people it unleashed. In fact, we are still living in the downstream of this era and what these folks went on to build.
The social and mobile era (2008 - 2016)
The marquee names: Facebook, Uber, Airbnb, LinkedIn, Twitter
What happened:
- Rise of the operator angel who's liquid enough to write checks, hungry enough to stay close to startups
- Emergence of founder-led venture firms and more startup "mafias"
- One quick example: Facebook's 2012 IPO was expected to create approx. 1,000 employee millionaires. San Mateo County (where they were HQed) became the highest-paid county in the nation by Q4 2012 and Facebook alumni went on to found or co-found companies like Asana and Quora. Also by 2012, before the IPO had even fully settled, Facebook alumni had already raised $271 million in venture capital across dozens of startups.
What this taught us. Talent stopped returning to large corporations. It stayed inside the startup ecosystem and recycled itself into the next generation.
The ZIRP and SaaS boom (2020 - 2022)
The marquee names: Snowflake, Datadog, Confluent, Coinbase, DoorDash, HashiCorp
What happened:
- Extended wealth creation further down the org chart
- Produced a new wave of operator angels and growth-stage executives
- Minted the talent backbone that now runs a significant chunk of the venture-backed ecosystem
One big "however"...
We still saw some outcomes in this era, but here's what the stock prices of a few of these companies actually show too.
- Snowflake: IPO'd in September 2020 at $120 a share and rocketed to its peak at $401. Employees who joined at that peak had their equity priced at those levels and then watched it fall and remain below its peak to this day. Today it's around $249. Doesn't mean the business failed by any means, but the entry point did (more on this below).
- Coinbase: Listed at $328 in April 2021. Today it trades around $150. Employees who joined around the IPO have watched roughly half their paper wealth disappear.
- HashiCorp: IPO'd in 2021 at a $13B valuation. IBM later bought them for $6.4B, a price that was marketed as a 43% premium to where the stock was actually trading at the time, which says a ton about how far it had fallen. Employees who joined at IPO watched the company get sold for half of what it was worth when they arrived.
What this taught us. Entry point determines everything.
Speaking of.
Chapter Three
So what happens with all this talent? 3 talent arcs based on entry points
Thousands of newly liquid, battle-tested operators are being born out of this AI era. So where will they go and what will they do next?
That journey will largely be determined by when they joined their companies. Some thoughts…
The cohort that changes industries.
- Disproportionate ownership, ground-floor equity, 100x+ returns (employees who joined OpenAI in 2019 have seen their stock grow 100x)
- Starts companies and launches funds
- Joins boards and becomes angel investors
- Occasionally retire to some island (or buy one)
Not always generational wealth but life-changing outcomes. Still a group that becomes the operating backbone of the ecosystem.
- Becomes executives themselves at early-growth stage companies
- Joins later-stage startups
- Writes checks as operator angels
- Occasionally founds companies
- Liquid enough to become extremely selective, but not so liquid they've lost the hunger
Generally much smaller equity outcomes and a different profile entirely. These folks tend to:
- Stay corporate
- Move between large tech companies with prestige enough to choose
- Selectively return to startups
The arc companies are hiring determines what they're actually getting. That context has never mattered more than right now.
So what does your timing actually mean for your wallet?
Let's make this concrete and look back at the last handful of years. We've talked about the arcs in broad strokes but the actual dollar difference between those cohorts is something most people haven't seen laid out clearly.
Below is a look at what joining each of these companies at different points in time actually meant for your equity multiple based on where valuations stood when you walked in the door versus where they stand today.
Entry timing → equity multiple
| Year joined | Valuation at entry | Multiple on entry |
|---|---|---|
| 2019 | ~$20B | ~43× |
| 2021 | ~$14B | ~61× |
| 2024 | ~$157B | ~5× |
| 2026Now | ~$852B | 1× |
| Year joined | Valuation at entry | Multiple on entry |
|---|---|---|
| 2022 | ~$4B | ~240× |
| 2024 | ~$18B | ~54× |
| 2026Now | ~$965B | 1× |
| Year joined | Valuation at entry | Multiple on entry |
|---|---|---|
| 2012 | ~$1.3B | ~1,362× |
| 2015 | ~$12B | ~148× |
| 2017 | ~$21.5B | ~82× |
| 2020 | ~$36B | ~49× |
| 2022 | ~$127B | ~14× |
| 2024 | ~$350B | ~5× |
| 2026Now | ~$1.77T | 1.2× |
Quick note: We built these charts using publicly reported valuations tied to actual funding rounds and secondary share sales AKA the moments where real capital was moved and on record. That's why the snapshots vary by company. The data dictates the timeline, not the other way around.
Yes, the earlier the entry, the better the math. But what's truly fascinating and different here is the scale of the gap between cohorts. It's 10x, 100x, sometimes 1,000x separating one generation of employees from the next. Early retirement vs. generational wealth.
And joining at current valuations might now mean you're essentially betting on continued appreciation from already historic levels. Not impossible, but a completely different risk/return profile than any prior cohort.
Something else we're seeing is that it's possible the compensation packages at these companies are getting so much richer precisely because the equity upside is getting that much thinner. From our searches we're already seeing comp for AI and senior technical roles come at a premium and equity being less and less of a deciding/swing factor like it used to be.
Which raises the most interesting question in this entire cycle…
If the machine that mints the millionaires is also the best retention mechanism ever built, does the flywheel actually spin?
Or will extraordinary compensation keep the best people inside a handful of elite AI companies longer than any prior cycle?
The flywheel is incredible at producing some of the best minds, founders, and companies we've ever seen but it also has a wrinkle. The same machine that's minting the millionaires is also one of the best retention mechanisms ever constructed.
When you can earn life-changing money and stay, the calculus for leaving changes dramatically.
Predictions on what's next
Nobody knows exactly how the outflow plays out or on what timeline. IPO lock-ups, and the pull of being inside one of the most consequential organizations in history will keep a lot of this talent in place longer than prior cycles would suggest.
But it will move. It always does.
When it does, look for:
The number of companies, funds, and foundational infrastructure built by alumni of these organizations over the next twenty years will likely exceed every prior tech cycle combined.
Final thoughts
The real output of a great company was never its revenue. It was always its people.
The organizations making history on the Nasdaq right now may ultimately be remembered less for the models they trained or the rockets they launched and more for the thousands of founders, investors, and operators they released into the world over the next twenty years.
That's the type of compounding that gets me excited for the future and it seems it's just getting started.