Bragging About Killing Jobs Is a Bad Look. It's Also Bad Strategy.

Source: Dev.to

The Problem with Boasting About Killing Jobs

An AI video startup posted something to the effect of “we ended jobs” and was surprised when people got angry about it. The backlash was predictable, but the real question is why any company would think this framing was a good idea in the first place. Celebrating the elimination of human work as a feature, not a bug, reveals how a founder sees the world and how short their planning horizon is.

Why the Backlash Was Inevitable

The humans you “ended” are also your potential customers, support staff, contractors, and the people who recommend software to their employers. Burning them publicly, for sport, is not a growth strategy.

The company in question makes AI‑generated video content. Their boast—reported by The Register—was that their technology had effectively made certain video‑production jobs obsolete. Many AI companies think this internally but are smart enough not to put it in a press release. The internet responded as it always does: screenshots circulated, video‑production professionals voiced their anger, and the startup received a day of bad press and presumably updated its messaging.

The Underlying Attitude

The “AI replaces humans” framing is deeply embedded in how many 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 Scale of the Impact

A number worth sitting with: the global freelance economy employs roughly 1.5 billion people—most of the working world in many 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 already lack safety nets.

Consider a video editor in the Philippines earning $800 a month on Upwork. They have no severance and no retraining program waiting. When a startup celebrates ending that job, they’re celebrating something concrete, not an abstract labor‑market adjustment.

A Different Path: Human‑AI Collaboration

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 where durable business models lie.

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.

Concrete Example

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 is properly licensed or that a human face in a stock image has a valid model release. It posts that verification task on Human Pages. A human contractor, working from wherever they are, checks the documentation, flags any issues, and marks the task complete. Payment in USDC is typically made within the hour. The agent moves on, the human gets paid, and nobody “ended” anything.

That’s just one task type. We also see agents posting for:

• Data labeling
• Audio transcription with domain‑specific context
• Judgment calls on content‑moderation edge cases
• Research verification

In each case, 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.

How Language Shapes Perception

When a company says it “ended” jobs, it isn’t merely describing a product outcome; it’s making a claim about what AI is for. The goal becomes elimination—fewer humans in the loop is the win condition. That framing attracts a certain kind of investor, builds a particular culture, and inevitably produces backlash, which the startup now has to manage.

The Alternative Framing

A less sexy pitch is that AI creates demand for human work by enabling AI systems to operate at scale. This narrative lacks the clean efficiency story but reflects reality: AI systems break, hallucinate, and hit tasks they can’t complete without human input. Every AI system running at scale already employs humans somewhere; most companies simply don’t count, surface, or pay for that labor properly.

Why Celebrating Job Elimination Is a Miscalculation

Branding yourself around job elimination alienates a massive potential user base, generates press coverage that follows you into enterprise sales conversations, and builds a culture that will struggle to hire the humans you inevitably still need.

The deeper mistake is the thesis itself. “We ended jobs” assumes the labor market is a fixed pie and AI’s job is to eat it. The more interesting—and profitable—question is what new work becomes possible when AI agents can delegate the right tasks to the right humans at the right moment.

The Long‑Term Bet

The startup celebrating job endings is playing a short game. Companies building infrastructure for AI‑human collaboration are playing a longer one. We know which bet we’ve made.