Technological progress is typically expected to lighten the burden of work. But as artificial intelligence has been integrated into workplaces, early evidence suggests a paradox: instead of reducing workloads, many AI-equipped employees are busier than ever. This column examines the relationship between AI exposure, the length of the workday, time allocation, and worker satisfaction. Though AI-driven automation and delegation allow workers to complete the same tasks more efficiently, the authors find that employees in AI-exposed occupations are working longer hours and spending less time on socialisation and leisure.
Nobody serious is still talking about LLMs as though they are capable of productive work. Pretending LLMs are “ai” and pretending they contribute any meaning to work environments is anti-social.
Machine learning assisted spying on employees is not “ai” and it is not productive work.
There are examples of pro-social applications for LLMs and ML and Visual-ML. It’s obvious that the applications and deployment of this last-decade tech, as in the purposeful attempt to replace and degrade workers with shitty applied technology, is the problem. Bosses are the problem. Corpos are the problem.
Deepseek’s r1 and other open-er source models will democratize and localize this aging tech. The time where corpos can wave their hands and pretend auto-fill is “magic spirits of a machine” is ending.