You're not a founder, you're a gig worker

30 points by tsunamifury ↗ HN
To everyone out there working on groundbreaking AI research…

Let’s break it down:

• OpenAI researchers helped build the most valuable model IP on the planet. They got six figures and a mission patch. Microsoft got the exclusive license. Sam got a multi-billion-dollar for-profit arm and total control.

• Zuck shows up and offers those same researchers $100M+ to switch stories. No nonprofit halo, no saving humanity. Just compute, comp, and “build God with us.”

• Sam cries foul. Why? Because the myth breaks: 1 that you’re part of a meritocracy 2 that you’re “on the journey” 3 that it’s about ideals, not exits.

Meanwhile…

• Scale AI workers in the Philippines were getting ghosted on pay while tagging data for $2/hr. Alexandr Wang becomes a billionaire. Meta buys half the company. Lays off 200. Wang walks into a new gig.

• Anthropic and OpenAI staff who helped push frontier alignment? They watched their orgs raise at $15–80B valuations and get nothing unless they were on the secret early cap table.

• Google DeepMind researchers? They’ve shipped more papers than any other lab. Most of them will retire with zero startup upside, while Google repackages their work as “Gemini.”

What happened?

Tech work used to come with a story: “You’re an owner. You’re early. You’ll make it.”

But that’s done. Today’s tech worker is pre-union labor in a zero-equity gig economy with a gold badge.

You’re just in time labor for capital-scale compute. And you’re still being told you’re a chosen one.

Who wins?

• Founders who lock the cap table before Series B

• VCs with double-digit preferences

• Corporates like Microsoft and Meta, who now own the model stacks and the labor

Everyone else? You’re a smart mercenary with branding issues.

Zuck isn’t the villain here in fact he’s briefly rebalancing things.

Sam’s mad because the theater curtain fell—and half the cast walked off stage for a better

8 comments

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So true. There is no reason to join a series B and later startup in terms of compensation.
I don't see the difference to how it's ever been, just a new product name.

Zuck isn't paying $200m per employee he's spending $200m on marketing and the droves of talent that will come and work for far less on the promise of a big pay out and prestige...

The only thing that has changed is the phrasing of the headlines.

Attention employees who think like this:

Start a business. Otherwise, acknowledge that you are trading economic upside for safety.

Stop comparing yourself to stories you read in the media. Actually, stop comparing yourself to others pretty much all the time. Media just makes it worse by telling whatever story they are interested in.
Welcome to tech. Same as it's ever been, I've been a founding engineer twice in my career and walked away with 6 figures in RSUs while the random enterprise sales guy two desks over made 7, and the founder made 9.

I do understand the frustration, especially if you have been affected personally, but it's just the way the world works. Starting a company isn't easy either, and as I'm finding out requires a completely different skillset.

> Tech work used to come with a story: “You’re an owner. You’re early. You’ll make it.”

I suppose the Harley-Davidson salesman told you that the motorbike would get you all the women too.

Investment is always about risk, and being a early-stage employee of a startup was always a matter of buying your shares with labour rather than capital, but the payoff was always a risky proposition.

So I’m gonna guess you’re basing all of that on news headlines you’ve been reading as opposed to actually being an AI employee at OpenAI, Google, or “scale AI” or any other “AI startup”

Nothing in your post is special about AI. The only difference is the out of pocket valuations that a company releases a product and immediately it’s 50B before demonstrating any ability to run or manage a business, generate profit, etc.

The view that “we must distribute Google+NVIDIA+OpenAI+Meta+Microsoft market cap to the AI researchers who paved the way for the GPT papers” is noble maybe, but doesn’t really make a whole lot of sense

There's still good money in being a "smart mercenary" in AI, compensation is competitive in the space. Not everyone making seven figures quickly is not unusual.

For the rest of the industry, the capital (Meta's 5 GW data center etc.) and operational ($200/month subscriptions for developer tools) are super troubling; however I can't help but observe that the practical impact on my day-to-day so far (with LLMs for search and programming assistants like LLM autocomplete and Claude) has been majorly positive.