AI progress creates more work for humans, not less (every.to)

Recent advancements in AI are creating a paradox where, instead of reducing human labor, they are increasing the demand for human expertise. In the tech company Every, which has heavily integrated AI tools like Codex and Claude Code across various functions, the workload for human employees has actually intensified. While many routine tasks have become automated, the need for skilled humans remains critical, as the complexity of work has shifted rather than diminished. AI has taken over tasks such as coding and customer service, yet humans are still needed to manage, analyze, and refine the outputs provided by these systems. This trend highlights a significant shift in the AI/ML landscape, where automation does not lead to job loss but rather creates new forms of work that require higher-level skills. Leading AI models have shown remarkable performance improvements, capable of tackling tasks previously thought to be the sole domain of humans. However, the key realization is that as AI commoditizes basic competencies, it drives demand for what is unique and complex—tasks that necessitate human oversight and strategic input. This dynamic suggests that the role of humans in the workforce is evolving alongside AI, presenting opportunities for more specialized, collaborative work rather than outright replacement.