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Busywork fears AI, and so should the 5-day work week

  • Writer: Luke Barnes
    Luke Barnes
  • Jun 9
  • 5 min read



For decades, office workers have perfected a peculiar art form: looking busy.


For the 12 people that have read my previous blogs (thanks guys :)), you'll be well aware of how the modern workforce has mastered the strategic calendar block, the "just circling back" email, the meeting that could have been a paragraph, and the paragraph that could have been a sentence. Entire industries have been built around moving information from one PowerPoint slide to another with all the urgency of a hostage negotiation.


And now AI has arrived *audible gasp*


The growing conversation around a four-day work week isn't really about yoga classes, wellness initiatives, or beanbags in the office. At its core, it's about productivity. More specifically, it's about what happens when technology starts doing a significant chunk of the administrative and cognitive grunt work that fills modern workdays.


The idea that AI could make a four-day work week inevitable sounds like the sort of thing a Silicon Valley founder would say moments before launching a subscription service nobody asked for. Yet beneath the hype is a surprisingly compelling argument:


If AI genuinely enables people to produce the same amount of work in less time, the logic behind the traditional five-day week starts to look shakier than a pensioner in an earthquake.



The Great Administrative Purge


To understand why, it's worth looking at what many office workers actually spend their time doing.


Despite what job titles might suggest, huge numbers of employees aren't spending their days creating groundbreaking strategies or solving complex problems. They're writing emails, attending meetings, preparing reports, searching for information, updating spreadsheets, and documenting work for other people who are also documenting work.


Essentially it's workception - the work within work within work...


Somewhere along the way, modern business developed an extraordinary amount of administrative overhead. Entire days can disappear into status updates, project meetings, stakeholder briefings, progress reports, and follow-up emails about the previous status updates, project meetings, stakeholder briefings, and progress reports.


AI happens to be remarkably good at exactly these sorts of tasks. What once took an employee hours can increasingly be completed in minutes. That's not because AI is smarter than every worker; it's because a surprising amount of office work is repetitive, predictable, and heavily dependent on processing information.


The result is that many organisations are beginning to see measurable productivity gains from AI adoption which therefore invites conversations of if we really need to be at work for 5 days if we can do it all in 4.



A Brief History of Working Too Much


Of course, this isn't the first time technology has transformed productivity. Every major technological revolution has sparked fears, excitement, and predictions about the future of work. The Industrial Revolution dramatically increased output. Mechanisation transformed agriculture. Computers changed virtually every industry they touched. Each wave of innovation allowed fewer people to produce more.


Yet over the long term, working hours generally declined. The five-day work week that many people take for granted today was once considered radical. In the late nineteenth and early twentieth centuries, six-day work weeks were commonplace. Working shorter hours was often viewed as unrealistic, uneconomical, or even dangerous to productivity.


Sound familiar?


Eventually, rising productivity created room for a different arrangement. Societies didn't simply use technological gains to produce more goods; they also converted some of those gains into leisure time. Weekends became normal. Paid holidays expanded. Expectations about work-life balance gradually shifted.


Nobody woke up one morning and abolished Saturdays. These changes happened over decades. But they happened because productivity growth made them possible.



People Like Having Lives


This is one reason recent four-day work week trials have attracted so much attention.

When people first hear about a four-day week, many assume productivity must suffer. After all, if people work fewer hours, surely less work gets done.


As always, reality is more complicated. In many organisations, productivity remains stable or even improves. Employees report lower stress levels, better wellbeing, reduced burnout, and stronger engagement. Staff turnover often declines, and recruitment becomes easier. Businesses frequently discover that people become more focused when they know they have less time available.


This shouldn't be particularly surprising (especially for my 12 loyal readers). Most people have experienced the strange phenomenon of completing an urgent task in two hours that somehow would have taken an entire day if there hadn't been a deadline attached. The traditional work week often contains a surprising amount of slack, interruption, and inefficiency. A shorter work week forces organisations to identify what genuinely matters and eliminate much of the fluff.



TGIF (but only if the work is done)


Before you start planning those lads or gals holidays to Benidorm over your 3-day weekends, there's an important caveat:


Technology creates possibilities. It does not determine outcomes.


If AI allows workers to become 20% more productive, employers have several options. They can reduce working hours. They can increase wages. They can lower prices. Or they can simply demand more output. Normally I would say there's no guesses for what option the capitalist money-grubbers will pick, but historically, businesses have often chosen a combination of all four.


There's also the reality that AI's benefits will not be evenly distributed. Knowledge workers are likely to see the largest gains because their jobs involve exactly the kind of information processing AI excels at. Other professions operate under different constraints.


A nurse still needs time with patients. A firefighter still needs to respond to emergencies. A teacher still needs to interact with students. Most importantly, the bartender needs to be there when my pint is empty and I haven't finished my rant about how Sharon from the office has been chewing my ear off about her third divorce - maybe the problem is YOU, Sharon!


Anyway, some forms of work can be compressed significantly; others remain tied to physical presence and human interaction. As a result, any transition toward shorter work weeks should be gradual and uneven rather than universal as it was for the five day work week.



So, Is the Four-Day Week Inevitable?


YES 100% !!!


Well, probably not inevitable—but certainly more likely than it was a decade ago.


For the first time, we have technology capable of meaningfully reducing large amounts of white-collar labour without reducing output. That changes the economics of working time in ways that are difficult to ignore.


The real question isn't whether AI can make a four-day work week possible. Indubitably, it can. The question is whether businesses, governments, and workers decide that some of those productivity gains should be converted into something society has always valued when it can afford it: more free time.


If AI continues eliminating the digital busywork that dominates modern office life, the five-day work week may eventually join fax machines, dial-up internet, and being polite to Sharon in the museum of outdated workplace practices.


And if that happens, millions of workers may finally achieve what generations before them could only dream of: spending less time pretending to work, and more time actually living.


SO LET'S OVERTHROW THE GOVERNMENT!!!!




References


  • Brynjolfsson, E., Li, D., & Raymond, L. (2023). Generative AI at Work. National Bureau of Economic Research.

  • Deloitte - Future of Work Report - Workforce Trends 2026

  • Microsoft & LinkedIn. (2024). Work Trend Index Annual Report.

  • International Monetary Fund. (2024). Gen-AI: Artificial Intelligence and the Future of Work.

  • McKinsey & Company. (2023). The Economic Potential of Generative AI.

  • 4 Day Week Global. Pilot Programme Reports.

  • University of Cambridge, Boston College, & Autonomy Institute. UK Four-Day Week Trial Findings.

  • International Labour Organization. Working Time an

    d Labour Standards.

  • Schor, J. (1991). The Overworked American.

  • OECD. Productivity and Working Hours Statistics.

  • Bloom, N. Research on productivity and workplace efficiency.

 
 
 

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