GPT-4 (Day Week): Canada Edition

24th April 2024

How the latest AI technology can lead to a nation of shorter hours, without reductions in livelihoods or productivity.

This paper offers an equitable route for the deployment of AI in the pursuit of greater productivity. It builds upon leading analyses of the potential impacts of new AI technologies (specifically Large Language Models). It analyzes the potential eligibility for a four-day work week across Canadian provinces, driven by AI-enhanced productivity gains over the next decade.

Two scenarios are detailed and mapped: The first, where the productivity gains of AI are captured so as to deliver 20% reductions in working hours, whilst keeping pay the same for workers. The second considers how many workers could be augmented by AI to the extent that their productivity improves by at least 10%, thereby enabling a reduction of 10% of the working weekly working schedule, whilst keeping pay the same.

At a glance:

• A four-day week (32-hours as full-time equivalent) could be achieved within a decade for 5.6 million workers:

• This represents 25% of the Canadian workforce.

• 91% workers in the Canadian labour market could have working hours reduced by at least 10%, should Large Language Models be introduced into workplaces and used as the basis for increased free time.

• This amounts to 20 million workers.

• Provinces with the highest proportion of workers that could work four-day weeks within the next decade include:

• Ontario

• British Columbia

• Alberta

• Quebec

• Nova Scotia


Autonomy team

Luiz Garcia

Lukas Kikuchi

WIll Stronge

Produced in collaboration with