Joe Weisenthal from Bloomberg highlights a shift in how people interact with productivity tools, particularly in the context of AI. He observes that as these tools become more efficient, users—especially non-developers—are increasingly creating their own applications rather than relying on pre-existing ones. This trend illustrates a paradox: while AI tools are designed to enhance productivity, they often lead to increased workloads instead of freeing up time. A recent study from NBER reveals that workers in AI-exposed positions now work roughly three extra hours weekly, with leisure time decreasing by the same amount. Upwork's research confirms this, showing that 77% of employees feel AI has amplified their workload. Weisenthal connects this phenomenon to the Jevons paradox, which suggests that increased efficiency can lead to greater demand for a resource—in this case, time and cognitive capacity. As people become more capable of producing outputs quickly, they tend to take on more tasks rather than enjoying the time saved. For example, if someone can build multiple apps in a weekend instead of just one, they may end up creating six, as the original friction that limited expectations disappears. This shift mirrors Keynes' prediction of a 15-hour work week, contrasting sharply with the reality of longer hours and rising expectations. In an environment where productivity can multiply, the pressure to work harder intensifies. Weisenthal notes that even if AI makes someone ten times more productive, it doesn’t translate to ten times more free time; instead, it raises the stakes for what can be achieved. He cites Parkinson’s Law, which states that work expands to fill the time available, and extends this idea to capabilities, suggesting that as we gain more tools and efficiency, our obligations and expectations expand correspondingly. This trend points to a broader concern about how technology shapes our work-life balance and personal well-being.