AI progress creates more work for humans, not less
The article discusses the paradox of AI progress leading to increased human work rather than job loss. Despite advancements in automation, companies still rely on human employees for various tasks, indicating a shift in job roles rather than a reduction in jobs. The author suggests that as AI becomes more capable, the demand for human expertise will actually grow.
- ▪AI advancements have led to more human work rather than job loss.
- ▪Companies continue to hire humans for roles like customer service and writing, despite increased automation.
- ▪The demand for human expertise is expected to rise as AI commoditizes basic tasks.
Opening excerpt (first ~120 words) tap to expand
After Automation AI progress creates more work for humans, not less Dan ShipperCEO of Every There is a paradox at the heart of AI. At Every, we’ve automated everything we can. We use Codex and Claude Code across coding, writing, design, customer service, and more. We alpha-test all of the new models from OpenAI, Anthropic, and Google before they come out. We are riding the exponential boom in model intelligence and automation as far and as fast as possible. And yet it seems like, for us, there’s more human work to do than ever. We are a team of almost 30 people, and we haven’t fired all of our employees in favor of agents. We haven’t ditched software-as-a-service (SaaS) products in favor of vibe coded apps.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Every.