Working Less With AI: Bernie Sanders’ Proposal For A 32-Hour Week | Generative ai certification microsoft azure | Google ai | Free generative ai text to image | Turtles AI

Bernie Sanders proposes to allocate AI productivity gains to a 32-hour workweek, giving workers free time back instead of laying them off. The idea, already tested by several companies, also finds legislative and international support.

Key points:

• Sanders calls for the “Thirty-Two Hour Workweek Act” to relaunch work and free time.
• Recent experiments (UK, Microsoft Japan, Kickstarter) indicate stability or growth in turnover.
• Experiments in Japan have shown +40% productivity with the 4-day week.
• Using AI in daily activities leads to average savings of 26–37 minutes per day for workers.

Bernie Sanders, during the interview on Joe Rogan’s podcast, argues that any productivity gains resulting from the introduction of AI should not translate into job cuts or an increase in workload, but into real advantages in terms of free time for people. By proposing a 32-hour workweek, Sanders aims to give workers back hours to dedicate to family, education and personal life. On the legislative front, the senator has introduced the “Thirty-Two Hour Workweek Act” in 2024, which provides for overtime pay beyond 32 hours of work gradually over four years.

In the United Kingdom, in 2022, 61 companies (nearly 2,900 employees) adopted the four-day week; 23 participating companies shared data showing an average revenue growth of 1.4%, with no significant decline. Kickstarter has already been operating in this mode since 2021, and Microsoft Japan conducted a summer experiment with 2,300 employees in 2019 that led to a 40% increase in the sales per employee ratio. The Japanese experiment introduced meetings limited to 30 minutes and the closure of offices on Fridays; among the effects, a 23% reduction in energy consumption and a 59% reduction in paper printing.

Further data emerge from a study in the United Kingdom on Microsoft 365 Copilot: the automatic writing of emails and documents saved an average of 26 minutes per day per user, with peaks of up to an hour, and job satisfaction of over 80%. In an academic experiment with 6,000 workers equipped with conversational AI tools, approximately 3 hours per week were saved on email and documents.

However, there is no shortage of critical voices: some economists recall the “productivity paradox”, which states that the effects of innovation – including AI – struggle to translate into measurable increases in national productivity. Furthermore, the experimentation of a four-day week may not be applicable to all sectors, as highlighted by the debate in Australia. In industrial or highly hourly contexts, the reduction in hours may lead to additional costs or operational tensions.

Questions remain open on how to transform experiments and legislative proposals into concrete actions on a large scale. The political and technical-economic challenge will be to coordinate widespread access to automation, flexible working hours, real compensation and organizational models capable of adapting to different sectoral needs. The debate does not aim to draw conclusions, but to collect data, stimulate dialogue and evaluate pragmatic solutions.

An open reflection on sharing the benefits of innovation as a tool for human progress.