Artificial intelligence promises to revolutionize labor productivity by automating repetitive tasks and allowing employees to focus on higher-value activities. Silicon Valley, the epicenter of technological innovation, claims that AI will be an engine of economic growth. Figures like Sam Altman, CEO of OpenAI, assert that programmer productivity will multiply, while Elon Musk predicts that in one or two decades, work will be optional. However, the current reality is far from this optimism. A recent study from the Haas School of Business at the University of Berkeley, published in Harvard Business Review, analyzed the impact of generative AI over eight months in a U.S. company with 200 employees. The results show that instead of reducing the workload, AI has increased the pace and volume of work. Tools like ChatGPT, Claude, or Gemini have expanded employees' competencies, leading them to take on more tasks and work longer hours. Although the perception of productivity increases in the short term, this masks a silent rise in workload, which can lead to fatigue and difficulty disconnecting from work, as well as greater corporate pressure. The fear of falling behind has triggered a "gold rush" in the sector, with AI start-ups imposing workdays of up to 12 hours a day, six days a week, according to the BBC. In Spain, an analysis of data from Claude, the chatbot from Anthropic, reveals that fully delegating tasks to AI often yields worse results than using it collaboratively. Navarra stands out as the community that best integrates AI into its processes, while Murcia is at the opposite end. The need for constant supervision could limit AI's potential to increase productivity. In fact, a recent study among software developers showed that those using AI were 19% slower than their peers. This phenomenon is not new. In 1983, historian Ruth Schwartz Cowan documented how domestic technology, far from reducing work, redistributed and sometimes increased it. Regarding employment, the rise of AI poses risks. In the United States, labor productivity grew by 4.9% in the third quarter of 2025, but the consulting firm Challenger, Gray & Christmas estimates that AI may have been behind nearly 55,000 layoffs, although a direct causal relationship cannot be established. Dario Amodei, co-founder of Anthropic, recently predicted that AI could eliminate half of office jobs and raise unemployment to 10-20% in the coming years. In companies like OthersideAI, AI already generates most of the code, displacing technical workers. Nevertheless, some executives argue that while there will be an initial labor adjustment, the increase in productivity could translate into better business results and, in the long run, more employment.