Can AI Power a 32-Hour, 4-Day Workweek for All?

“The promise of advanced AI is that it can benefit everyone by translating abundant intelligence into extraordinary progress,” says OpenAI in its Industrial Policy for the Intelligence Age report.

AI has fundamentally changed how enterprises operate, compressing timelines for complex work and challenging leaders to redesign roles, skills and operating models.

As the movement is now shifting towards superintelligence – systems that can completely outperform even the smartest humans who are assisted by AI – the fear of people being made redundant is harder to ignore. 

AI visionary and Anthropic CEO Dario Amodei argues it is inevitable, writing that “AI could displace half of all entry-level white collar jobs in the next 1-5 years, even as it accelerates economic growth and scientific progress” – a clear mandate for proactive reskilling, talent pipeline redesign and responsible transition policies.

This economic disruption – and the heightened risk of misuse – underpins OpenAI’s view that the transition to superintelligence demands an ambitious industrial policy.

“One that reflects the ability of democratic societies to act collectively, at scale, to shape their economic future so that superintelligence benefits everyone.”

The case for an open economy

OpenAI argues that as AI embeds across the economy, it can unlock exceptional gains for society – driving productivity, innovation and improved services.

The flipside is real: job disruption and a widening inequality gap as value concentrates among a few.

Or as OpenAI CEO Sam Altman puts it: “AI won’t replace humans. But humans who use AI will replace those who don’t.”

Accordingly, OpenAI advocates for an accessible, participatory economy – broad access to AI capabilities, tools and training – to spread opportunity and cushion disruption. For CHROs, that translates into equitable AI access, scaled reskilling and inclusion-by-design in workforce planning.

OpenAI proposes a set of practical levers to broaden the gains from AI: elevate worker voice throughout the transition, finance new businesses and a generation of AI‑first entrepreneurs, and treat AI capability as foundational – akin to literacy – so access is not gated by privilege.

As Sam Altman notes: “I think when people talk about democratisation of AI, they mean two different things. One is shared access and making sure that everybody gets to use sufficient AI to improve their own lives, build things for other people, all that. And the other is a voice in which it is all going to go. I think both are important.”

What this means for CHROs: institutionalise worker input into AI design and deployment; build baseline AI literacy into learning agendas; and partner with ecosystem players – incubators, vendors, universities – to open pathways into AI‑enabled roles and ventures.

Robot taxes and a four‑day workweek

As AI reshapes the economy, governments may need to re‑evaluate their tax base. OpenAI points to options such as higher top‑end capital gains rates and taxes on AI‑driven returns, and it does not shy away from levies on automated labour.

For employers, policy that rewards human investment – training credits, mobility supports and wage‑linked incentives – can align economic and social outcomes. And as productivity lifts, leaders should expect renewed debate on work‑time models, including four‑day weeks and plan pilots that protect service levels while improving engagement and retention.

The most striking recommendation is for enterprises to pilot a four-day (32-hour) workweek with no loss of pay.

OpenAI argues this can be funded by converting AI-driven efficiency gains into either bankable paid time off or a permanently shorter workweek.

The report also calls for stronger employee benefits – expanding retirement and healthcare coverage, and subsidised child and elder care – to ensure workers share in the upside.

Creation of a public wealth fund

A Public Wealth Fund rests on a simple premise: everyone should hold a stake in AI-driven growth. Such a vehicle would distribute a portion of AI-generated gains broadly to citizens.

The idea is not novel. OpenAI’s rival Anthropic, in late 2025, alluded to “national sovereign wealth funds with stakes in AI,” aimed at distributing “AI-derived wealth more equitably.”

Alongside these people-centred proposals, the report emphasises stronger AI governance – clear guardrails and model-containment playbooks to identify and constrain dangerous systems.

OpenAI frames this as an opening bid, not a blueprint: “We offer these ideas not as fixed answers but as a starting point for a broader conversation about how to ensure that AI benefits everyone.”

For CHROs, this means a 32-hour pressure-test week through targeted pilots; formalise a mechanism to translate AI productivity into time and benefits; and engage in cross-functional governance to embed safety, transparency and worker voice in AI deployment.