Research question

If you cut the workweek and keep the pay the same, does the economy actually survive it — and do people's lives get better?

Abstract

This isn't a thought experiment anymore. Iceland has spent nearly a decade running real shorter-hour trials, and by 2021 the results had reshaped contracts for 86% of its entire working population. The UK has run the two largest coordinated shorter-workweek pilots in the world, covering thousands of workers across dozens of companies. In both countries, the same basic pattern shows up: cut hours by roughly a fifth, keep the pay the same, and output mostly holds up.

That's a strange enough result that it's worth taking seriously rather than waving away. This paper walks through what actually happened in both countries, why fewer hours so often doesn't mean less output, and where the evidence still falls short of proving this works everywhere, for everyone.

Key findings
  • Iceland ran two major trials between 2015 and 2019, moving over 2,500 public-sector workers — about 1.3% of the entire national workforce — from 40 hours a week down to 35 or 36, with no cut in pay.
  • Productivity in those Icelandic workplaces stayed the same or improved in most cases. By 2021, Icelandic unions had used that evidence to negotiate shorter hours, or the right to negotiate them, for 86% of the country's workforce — not through a new law, but through ordinary collective bargaining.
  • A 2024 follow-up survey of Icelandic workers who'd actually shifted to shorter hours found 97% said their work-life balance had stayed the same or gotten better, and 42% reported feeling less stressed at home, against just 6% who felt more.
  • The UK ran the world's largest coordinated four-day week pilot in 2022: 61 companies, roughly 2,900 workers, a 20% cut in hours with full pay, independently studied by researchers at the University of Cambridge and University of Salford. Six months later, 92% of the companies were still running a four-day week.
  • A newer, smaller 2025 UK pilot of 17 companies and over 1,000 workers went further still: every single company kept the shorter week after the trial ended. 62% of employees reported less burnout.
Why cutting hours doesn't reliably cut output

The honest, unglamorous answer is that most office and service work was never actually bottlenecked by raw hours in the first place. Companies in the UK pilot didn't get more done by working faster — they got the same done by cutting the padding: shorter meetings, fewer meetings that shouldn't have been meetings at all, tighter focus blocks. A lot of a five-day week, it turns out, was never really being used for output at all.

That's not a universal law, though, and it's worth being honest about where it applies most cleanly. The gains show up clearest in knowledge work and services — the kind of jobs where thinking, deciding, and communicating are the actual product. Manufacturing, construction, and other physically-bound work showed real benefits too in the UK data — workers there reported the biggest jumps in time spent exercising — but the mechanism is different, since you can't simply "focus harder" to weld the same number of parts in less time.

The honest gap in the evidence

Every company in both the UK and Icelandic trials chose to take part. That's a real, unavoidable bias: organisations willing to volunteer for a shorter-hours experiment probably already had more slack, better management, or more motivated staff than the average workplace — which means these results likely represent a best-case scenario, not a guaranteed outcome for every employer that tries it.

Iceland's trial also leaned heavily on the public sector, where the pressure to compete on price and speed looks nothing like a private manufacturing firm's. And as of this writing, no country has yet run a trial at the scale of a full national economy, across every industry, without any element of self-selection — so what's proven is "this works very well for willing, mostly white-collar employers," not "this works for every job everywhere."

Why this matters for After Labour's research

Every paper on this site so far has asked what happens to income when labour becomes less central to the economy — a dividend, an equity stake, a tax on capital. This paper is about a different kind of answer entirely: instead of paying people more for not working, give them back time instead. It's the same underlying question — what do we do with the gains from rising productivity — with a completely different mechanism for sharing them, and it's the one this site's next interactive model, The Time Trade, is built directly around.

Methodology

This paper draws on two independently conducted, multi-year research programmes: Iceland's public-sector trials (2015–2019), analysed by the UK think tank Autonomy and the Icelandic non-profit Alda, with a follow-up survey covering 2020–2022; and the UK's coordinated pilot programmes (2022 and 2025), run by 4 Day Week Global and academically studied by researchers at the University of Cambridge and University of Salford through the ESRC-funded Digit research centre.

Assumptions
  • Results from companies that volunteered for these trials are treated as informative about what's possible under supportive conditions, not as a representative sample of how every employer in an economy would fare.
  • Productivity and retention outcomes self-reported by participating companies are treated as directionally reliable, cross-checked against independent academic analysis where available, rather than taken purely at face value.
Limitations
  • Every trial examined here involved organisations that opted in, which almost certainly biases results toward more cooperative, better-resourced workplaces than the economy-wide average.
  • Iceland's trial was concentrated in the public sector; the UK's pilots skewed toward professional and knowledge-work firms. Neither is strong evidence for how shorter hours would play out in highly competitive, low-margin, or purely physical-labour industries.
  • No trial to date has been run at true national-economy scale without self-selection, so these findings describe what's been proven to work for willing participants, not a universal guarantee.
Data sources
Citation

After Labour (2026). The 92 Percent Experiment: What happens when companies cut hours, not pay.