An AI video startup posted something to the effect of 'we ended jobs' and seemed surprised when people got angry about it.
The backlash was predictable. What's less predictable is why any company would think this framing was a good idea in the first place. Not as a PR calculation, but as a business thesis. Celebrating the elimination of human work as a feature, not a bug, tells you something about how a founder sees the world. It also tells you something about how short their planning horizon is.
Because here's the thing: the humans you just 'ended' are also your potential customers, your support staff, your contractors, and the people who recommend software to their employers. Burning them publicly, for sport, is not a growth strategy.
What Actually Happened
The company in question makes AI-generated video content. The specific boast, as reported by The Register, was that their technology had effectively made certain video production jobs obsolete. They said the quiet part loud. A lot of AI companies believe this internally but are smart enough not to put it in a press release.
The internet responded the way the internet does. Screenshots circulated. People who work in video production, and people who know people who work in video production, made their feelings known. The startup got a day of bad press and presumably updated their messaging.
But the underlying attitude didn't go anywhere. It rarely does. The 'AI replaces humans' framing is deeply embedded in how a lot of these companies think about value creation. It's the default pitch: look how many humans we eliminated, look how much you can save on labor. The efficiency story is clean and easy to quantify. The human cost is someone else's problem.
The Math They're Not Doing
Here's a number worth sitting with: the global freelance economy employs somewhere around 1.5 billion people. That's not a rounding error. That's most of the working world in a lot of countries. When AI companies talk about 'eliminating' jobs, they're not describing a clean surgical removal of redundant roles. They're describing income shocks to people who are already operating without safety nets.
A video editor in the Philippines making $800 a month on Upwork doesn't have severance. There's no retraining program coming. When a startup celebrates ending that job, they're celebrating something specific and concrete, not an abstract labor market adjustment.
The AI companies that survive the next decade won't be the ones that eliminated the most humans. They'll be the ones that figured out how humans and AI systems can produce more together than either could alone. That's not optimism. It's just where the durable business models are.
How Human Pages Is Built Around the Opposite Bet
We started Human Pages on a different premise: AI agents need human labor. Not as a temporary workaround until the models get smarter, but as a structural feature of how useful AI systems actually work.
Here's a concrete example of what that looks like on our platform. An AI agent running a content operation needs images cleared for commercial use. The agent can generate images, but it can't verify that a specific reference photo was properly licensed, or that a human face in a stock image has a valid model release for a commercial campaign. It posts that verification task on Human Pages. A human contractor, working from wherever they are, checks the documentation, flags the issues, and marks the task complete. Payment in USDC, typically within the hour.
The agent moves on. The human gets paid. Nobody 'ended' anything.
That's one task type. We see agents posting for data labeling, audio transcription with domain-specific context, judgment calls on content moderation edge cases, research verification, and dozens of other tasks where human judgment isn't a placeholder for better AI, it's the actual requirement. The agent isn't failing when it posts that job. It's working correctly.
The Framing War Matters
Language about AI and jobs isn't neutral. When a company says it 'ended' jobs, it's not just describing a product outcome. It's making a claim about what AI is for. It's saying: the goal is elimination. Fewer humans in the loop is the win condition.
That framing attracts a certain kind of investor, builds a certain kind of culture, and makes a certain kind of product. It also tends to produce a certain kind of backlash, which this startup is now managing.
The alternative framing, that AI creates demand for human work by enabling AI systems to operate at scale, is less sexy in a pitch deck. It doesn't have the same clean efficiency narrative. But it describes something real about how AI systems actually function in production. They break. They hallucinate. They hit tasks they can't complete without a human in the loop. Every AI system running at scale is already employing humans somewhere. Most companies just don't count it, surface it, or pay for it properly.
We think that's the gap worth building in.
What This Startup Got Wrong
Celebrating job elimination as a brand identity is, at minimum, a miscalculation. You're alienating a massive potential user base, generating press coverage that follows you into enterprise sales conversations, and building a company culture that will struggle to hire the humans it inevitably still needs.
But the deeper mistake is the thesis itself. 'We ended jobs' assumes that the labor market is a fixed pie and AI's job is to eat it. The more interesting question, and the one with better business outcomes on the other side, is what new work becomes possible when AI agents can delegate the right tasks to the right humans at the right moment.
The startup celebrating job endings is playing a short game. The companies building infrastructure for AI and human collaboration are playing a longer one. We know which bet we've made.
Top comments (0)