Summary of Key Points
Artificial intelligence (AI) was supposed to free people from tedious and repetitive tasks, making life more autonomous. However, the reality is quite the opposite: AI has lowered the barriers to taking action (for example, one can start a project without knowing how to code), leading some to a new kind of fatigue—where there seems to be no end to work. The boundaries of work have expanded indefinitely, with people constantly engaged in background tasks run by AI, even volunteering for extra hours. The root of this contradiction lies in the fact that while AI improves efficiency, it also breaks down the natural limitations imposed by skills and time, turning “overload of possibilities” into the norm. Ultimately, what’s being tested is not one’s ability to start something, but their ability to stop.
The Ancient Paradox of Time-Saving Technologies: The More You Save Time, the Busier You Get
You might have heard the saying that washing machines haven’t reduced household chores; instead, they’ve made people change clothes more frequently. This is the paradox of time-saving technologies. The same applies to AI:
- Accelerated technology → Accelerated social change → More intense life: High-speed trains make travel faster, but you need to learn new skills even quicker (what worked ten years ago might be outdated now). AI makes coding and creating plans easier, but industry rules and aesthetic trends evolve even faster, requiring constant adaptation.
- The disappearance of friction = The disappearance of buffers: In the past, if you wanted to develop an app but didn’t know how to code, you had to give up. Now, AI does the coding for you, turning your ideas directly into tasks. However, these tasks act like background programs that constantly consume your energy.
- A time famine: It’s not that there are fewer than 24 hours in a day; rather, tasks and desires expand at a faster pace than time itself. As mentioned in the article, AI users don’t use the freed time for rest; instead, they spend more time on emails and business software, leaving less time for focused activities.
AI Agents: The Perfect Tool for “24/7 Capitalism”
“24/7” refers to a market and work environment that operates without boundaries. AI agents perfectly fit this pattern:
- Machines don’t sleep, but humans do: Agents can run tasks around the clock, yet they require human decision-making and responsibility (such as deciding what to do next). For example, Van Hoen uses agents to take care of his children and plan vacations, and at night, he has to manage other agents—making him a “shepherd” of these automated systems, trapped in a non-stop rhythm.
- Sleep becomes a competitive disadvantage: The AI in the article reminds Marie to sleep, but she feels that since other agents are still working, going to bed at midnight is a sign of progress. Sleep is no longer a natural need; it’s a choice about whether to miss out on opportunities.
The Voluntary Overwork of the AI Era
In the traditional workplace, there were clear pressureors (bosses, clients) leading to overtime. In the AI era, however, overtime is voluntary:
- The call of possibility: AI turns “I’ll do it later” into “Do it now.” Researching, building websites, and writing business plans have all become easier. People fear missing out on opportunities (like Darian, who used AI to work on projects while his wife was in labor), so they voluntarily use their fragmented time (at night, on weekends, in waiting rooms) for work.
- Decision overload: It’s not that there are no tools available; it’s that too many options are presented. People juggle multiple half-finished projects, each seemingly worthwhile but none substantial enough to let go of, keeping their mental energy constantly at full capacity. For example, entrepreneurs produce 100 times more than before, but the boundaries of their work have also expanded 100 times.
The Scarce Resource in the AI Era: Not the Ability to Start, but the Ability to Stop
AI increases the number of things that can be done, but not the number of things that really need to be done. The real difference lies in knowing when to stop:
- A test of will: In the past, you didn’t do something because you couldn’t; now, you don’t do it because it doesn’t seem worthwhile. For instance, some people use AI to manage ten projects simultaneously, but only one might be truly valuable. Most of these are products of “overload of possibilities.”
- The meaning of pausing: Pausing is not about laziness; it’s about reclaiming control from the systems. You can let agents work for you, but you need to know when to turn them off or decide what information doesn’t need to be generated. As the article says, a truly mature AI user knows when to stop using the machines.
Reimagining “Off Work”: Setting Your Own Boundaries
AI has destroyed traditional rituals of leaving work (like turning off the office lights and closing the computer), but we can redefine what “off work” means:
- Boundaries are not about anti-technology: It’s about not letting the rhythm of AI take over your life. For example, you can set a fixed time to shut down all agents or designate a day each week without AI.
- The limits of a finite life: AI offers endless possibilities, but your life is limited. You need to learn to say “This doesn’t worth doing” or “There’s no next step here.” These are the skills most needed in the AI era.
In conclusion, AI hasn’t created people who can never stop working; it has only made the already blurred boundaries of work even more apparent. In the future, those who can protect their personal space and time will be the true winners.