AI could transform productivity, but its greatest social benefit may be the chance to reduce working hours and return more time to people for family, health, recovery and community.
Artificial intelligence may deliver extraordinary productivity gains. The deeper question is whether some of that dividend should be returned to people in the form of something equally valuable: time to live.
If artificial intelligence can help us do five days of work in four, why should the reward always be more output rather than more life? That question sits at the heart of what may become one of the most important social debates of the AI era.
For decades, technology has been introduced to improve efficiency, reduce risk, increase accuracy and remove unnecessary human effort. Machines reduced dependence on dangerous manual work. Commercial aviation collapsed travel times across continents. Computers transformed engineering, design and calculation. The internet changed communication and access to information.
Each major invention removed a limitation. AI is doing the same. But this time, we have an opportunity to think differently about what society should do with the benefit.
Much of the current debate about artificial intelligence begins with fear: will AI take my job?
That concern is understandable. Some jobs will change significantly. Some tasks will disappear. New roles will emerge.
The bigger question is not whether AI will change work. It is whether we will allow it to change life as well.
I come to this question from an engineering background and from my current work as a stakeholder manager, where technology, productivity, business outcomes and human consequences often meet. Across industry and major projects, I have seen technology introduced repeatedly in the name of efficiency, safety, faster decisions and better performance.
Those gains matter. But if humans continue working the same hours, have we actually captured AI’s greatest benefit?
Businesses will naturally use AI to improve performance, reduce costs, accelerate processes and remain competitive. It is therefore unrealistic to expect individual companies, acting alone, to redesign the working week primarily around broader social outcomes. That is where governments, regulators and international institutions have a role. They should begin examining whether our definition of full-time work still makes sense in a world where AI can perform growing amounts of routine, administrative and analytical work in a fraction of the time previously required.
This does not mean governments should simply declare that everyone will work four days a week. Different industries are different. Hospitals, construction sites, mines, factories, hospitality businesses and professional offices cannot all operate under the same model. But governments should start testing shorter-hour models, examining productivity gains, consulting employers and workers, and asking whether AI-enabled industries can progressively reduce standard working hours without reducing overall income.
The timing matters. This work should begin while AI is being adopted, not years after the disruption has already happened.
There is a deeper reason to take this seriously: the future of work is inseparable from the future of human wellbeing. The World Health Organization identifies excessive workloads, low job control and job insecurity among the risks to mental health in the workplace. It estimates that depression and anxiety alone result in around 12 billion lost working days globally each year. This costs the world economy about US$1 trillion in lost productivity.
That should force us to confront an uncomfortable contradiction. We are creating technology specifically designed to save time and reduce effort while millions of people remain overworked, stressed, mentally drained and short of the very thing the technology is supposed to create: time.
What if part of AI’s value was deliberately used to change that?
For generations, working life has required people to surrender enormous portions of their waking hours to earning a living. That work has built economies, industries and prosperity, but it has also carried a human cost: missed family time, neglected friendships, less participation in community life, postponed exercise, interrupted sleep and too little space to recover from stress or simply be present in our own lives.
An extra day away from work is therefore not merely another day of leisure. It can mean breakfast with a child instead of another rushed departure. It can mean time with a partner, caring for an ageing parent, seeing friends, exercising, sleeping properly, attending a health appointment, seeking counselling, reflecting, learning, creating, volunteering or doing nothing at all for long enough to recover.
These are not luxuries around the edges of life. They are life.
For too long, progress has often meant asking people to do more, faster. AI gives us the possibility of a different kind of progress: one that values recovery as well as output, relationships as well as revenue, and mental health as well as efficiency.
There is evidence that reduced working time can improve wellbeing. A 2025 study published in Nature Human Behaviour examined almost 2,900 employees across 141 organisations in six countries, including Australia, during trials of a four-day working week without a reduction in pay. Researchers reported reduced burnout and improvements in job satisfaction, mental and physical health.
AI will not benefit every job in the same way. An engineer may use AI to accelerate analysis and documentation. A lawyer may review documents faster. An accountant may automate repetitive work. An administrator may complete tasks in minutes that once required hours.
A nurse, electrician, cleaner, construction worker or hospitality employee may not see the same direct reduction in workload. But they should not automatically be excluded from the broader benefit. If a company becomes more productive because AI is improving its functions, policymakers should consider how those gains can contribute to better working conditions across the organisation. Otherwise, we risk creating another divide: workers whose jobs are easily augmented by AI receive more flexibility, while everyone else remains locked into the old model. The benefit of technological progress should extend beyond those sitting closest to the technology.
The real AI revolution should not be humans competing with machines to work faster. It should be humans using machines to live better – with more time for family, health, recovery and community.
If this extraordinary leap in productivity cannot help us reclaim some of our finite human time, then we should ask what progress is ultimately for. The greatest return on AI may not be another percentage point of output or another line on a balance sheet. It may be the hours of human life we finally choose to take back.