AI promised free time. We got more to do
AI promised a future of leisure, a world where machines handled the drudgery while humanity pursued higher callings. Yet, for many of us, the reality of the AI era feels like an accelerated treadmill. We’re working faster, producing more, and somehow, still just as busy—if not busier.
Even Sam Altman, CEO of OpenAI, admits the outcome has been less straightforward than anticipated. He once hoped technology would free people, enabling more personal time. Instead, he observes, "we're good at wanting more out of life and wanting more out of the world than making ourselves busier."
Altman’s insight highlights a critical paradox: when AI makes work dramatically more efficient, who benefits from the time saved? Does it translate into a shorter workweek, or does it simply raise the bar for expected output, expanding the scope of our to-do lists?
This isn’t merely a philosophical query; it’s an urgent question for the future of work. We stand at a pivotal juncture where the efficiency gains from artificial intelligence could either liberate or further entrench us in a cycle of ceaseless productivity. The choice, ultimately, is ours to make.
The one-hour workweek hiding in plain sight
OpenAI CEO Sam Altman offers a compelling counterfactual: if humanity accepted the living standards and material output of a century ago, we could work roughly one hour a week. This isn't a forecast or a measured estimate of today's required labor; it's a thought experiment highlighting our ever-escalating expectations.
His point underscores a fundamental truth about human nature. We don't direct productivity gains solely toward leisure. Instead, we channel newfound efficiency into a relentless pursuit of more:
- More convenience
- More ambition
- More services
- More material output
This constant drive means the elusive short workweek remains perpetually out of reach. Technology, including AI, doesn't just help us do the same amount of work faster; it expands the scope of what we consider necessary or desirable. We simply raise the bar. Altman, in a Matthew Berman interview, calls this insatiable desire a “beautiful thing about human nature.” He argues that if we were content with 1920s life, we'd be clocking out after 60 minutes. But we aren't. We never are.
Why efficiency keeps creating more work
Efficiency, counterintuitively, often creates more work. This phenomenon, known as Jevons Paradox, dictates that increasing the efficiency of a resource can lower its cost and, consequently, increase its demand. Applied to AI, making tasks faster doesn't free up time; it just makes us want to do more.
Consider AI-assisted writing, coding, analysis, or planning. If a task that once took hours now takes minutes, the typical response isn't to take a break. Instead, teams generate more drafts, tackle more complex projects, or simply raise the bar for expected output. Faster completion translates directly into intensified work and higher baseline expectations.
Sam Altman views this as a "beautiful thing about human nature"—our insatiable ambition. He argues that if we were content with 1920s living standards, we’d work one hour a week. However, a labor critique offers a different lens: employers, not workers, often capture productivity gains. They achieve this through lean staffing and by intensifying work, effectively expecting more output from the same or fewer employees. For further reading on Altman's perspective, see Sam Altman Said AI Hasn't't Led to 4-Hour Workweeks Because People Are Competitive. This dynamic pushes the hedonic treadmill of work ever faster, ensuring that despite technological leaps, the finish line of "enough" remains perpetually out of reach.
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The real fight is over who gets the gains
AI doesn’t erase work; it expands it. New capabilities and markets emerge, demanding new tasks. Organizations that leverage AI to increase output gain a competitive edge, pushing others to follow suit. This continuous cycle naturally expands the scope of work rather than shrinking it.
Economist John Maynard Keynes famously predicted a 15-hour workweek by 2030, a forecast now clearly off the mark. His miscalculation, much like Altman’s observation, highlights the difficulty of predicting whether productivity gains will translate into leisure. Human wants are simply more insatiable than anticipated.
Ultimately, the fight is over who captures the gains. AI may enable shorter hours, but this outcome depends not on technology alone. Instead, it hinges on critical choices:
- Workplace policies
- How workers share in productivity gains
- Societal priorities beyond endless output
Until these fundamental questions are addressed, workers will remain busy, even as AI makes us faster.
Frequently Asked Questions
Why does Sam Altman think AI hasn't made people less busy?
He suggests people tend to use new capabilities to pursue more goals and higher expectations, rather than settling for the same output with less work.
What is the productivity paradox of AI?
AI can make tasks faster, but organizations may respond by increasing output targets or expanding workloads instead of reducing hours.
What is Jevons Paradox, and how does it relate to AI?
Jevons Paradox describes how greater efficiency can increase demand for a resource. In AI, cheaper work may lead people to undertake more tasks.
Does AI guarantee a shorter workweek?
No. AI can create the potential for shorter hours, but whether workers gain that time depends on business decisions, labor arrangements, and social choices.