New Scientist recommends an excellent look at the future of work

The future of work is not just about automation or job displacement—it’s about the quiet, often insidious ways technology reshapes human behavior, expectations, and even our sense of self. Sarah O’Connor’s *We Are Not Machines* arrives at a pivotal moment, when the relentless push toward AI integration has begun to erode the boundaries between human labor and machine efficiency. This isn’t merely a critique of how companies offload tasks onto algorithms; it’s a reckoning with the psychological and social costs of redesigning work around the limitations of artificial intelligence. As AI systems grow more sophisticated, the pressure to conform our workflows to their logic—whether through rigid data entry standards, scripted customer interactions, or the tyranny of productivity metrics—risks turning human workers into extensions of the systems they’re supposed to manage. That’s the deeper tension O’Connor exposes: a world where efficiency trumps autonomy, and where the language of optimization masks a more troubling reality. The conversation around AI and labor isn’t new, but it’s gaining urgency as generative AI seeps into white-collar jobs once considered immune to automation. What’s often overlooked in the hype is how AI doesn’t just replace work—it reconfigures it, demanding that humans perform in ways that align with machine logic. Customer service roles now require workers to adhere to emotionally detached scripts, while creative fields face pressure to churn out outputs calibrated for algorithmic approval. This isn’t just about tools; it’s about the erosion of tacit knowledge, the kind of intuitive, context-aware expertise that defies quantification. The pushback has begun in fits and starts—unions challenging surveillance-heavy productivity tools, workers resisting the gamification of labor—but whether these efforts can scale before AI’s logic becomes the default remains an open question. What comes next may hinge on whether society redefines work’s purpose beyond productivity. If the trend holds, we could see a bifurcated future: one where elite workers retain creative control while the rest adapt to machine-like roles, or one where resistance forces a recalibration of how AI is deployed. The stakes are high, and the debate is far from settled.