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Toward a Post-Labour Society

Imagining life when AI handles most routine work — backed by research, data, and real-world experiments

Current Reality — 2025

57%

of U.S. work hours are technically automatable with current AI technology

McKinsey 2025
$252B

invested in corporate AI in 2024, a 44.5% increase from the previous year

Corporate investment data 2024
78%

of Icelandic workers report satisfaction after transitioning to shorter work weeks

Iceland trials 2024

The Post-Labour Horizon

For the first time in human history, we can realistically imagine a world where most routine labour is performed by machines. Not in some distant science fiction future, but within the coming decades. What does such a world look like?

A post-labour society doesn't mean no one works. It means work becomes a choice rather than a necessity — something we do because we want to, not because we must to survive.

Key Finding

While 57% of work hours are technically automatable, the transition to a post-labour society isn't predetermined by technology—it's shaped by policy decisions, economic structures, and societal values we choose today.

The Automation Reality

We're not speculating about a distant future. The automation of work is happening now, at an unprecedented pace. Understanding the scale and timeline helps us prepare for what's ahead.

TimelineProjectionSource
By 2030400-800 million workers globally will need to shift careers due to automationMcKinsey
This Decade30% of work hours could be automated with existing technologyMcKinsey
By 203014% of global workforce (375 million workers) will need to switch occupational categoriesMcKinsey
Next DecadeAI could boost U.S. productivity by 1.5% annuallyGoldman Sachs / Penn Wharton

These aren't pessimistic predictions—they're opportunities. Higher productivity could mean more wealth to distribute, more time for human pursuits, and the chance to reimagine what work means in our lives. The question is whether we'll design systems that share these benefits broadly.

Beyond Necessity

Throughout history, most humans have worked because they had to. Survival required labour — growing food, building shelter, earning income. This necessity has shaped our institutions, our values, and our understanding of what it means to live a good life.

When AI can perform most economically necessary labour, this fundamental constraint relaxes. The question shifts from "how do I earn a living?" to "how do I spend my time meaningfully?"

Real-World Experiments

We don't need to guess about post-labour possibilities. Countries and organizations are already testing reduced work hours, universal basic income, and new economic models. Here's what the evidence shows.

Reducing Work Hours

What happens when societies deliberately choose to work less? Iceland and the UK have run large-scale trials to find out.

Iceland Trial

Participants: 2,500 workers (over 1% of Iceland's workforce)
Timeline: 2015-2019
Results:
  • Productivity stayed the same or improved
  • Worker wellbeing increased dramatically
  • 51% of workers now have shorter hours
  • 78% report satisfaction with working time
  • Iceland's economy grew 5% in 2023
Read more about Iceland's success →

UK Trial

Participants: Multiple companies
Timeline: 2022
Results:
  • 49% of businesses permanently adopted 4-day week
  • 57% improvement in talent retention
  • 1.4% revenue increase reported
  • Productivity improvements or no change in most areas
Gartner Research

Universal Basic Income Pilots

Multiple countries have tested giving people unconditional cash payments. The results challenge common assumptions about work motivation.

CountryProgram DetailsKey Outcomes
Kenya
23,000 participants
195 villages
Started 2018
  • • No evidence of reduced work motivation
  • • Positive impact on total household income
  • • Reduced food insecurity
  • • Improved physical and mental health
  • • Increased business starts
GiveDirectly Results
Finland
2,000 participants
€560/month
2017-2018
  • • Improved well-being and mental health
  • • Participants reported being happier
  • • Better health outcomes
  • • Minimal employment effects
United States
Recent study: 1,000 participants
$1,000/month for 3 years
40% income increase
  • • Work hours reduced by 1.3-1.4 hours/week
  • • 3.9% less likely to be employed
  • • Alaska Permanent Fund: $1,000-2,000/year since 1982
  • • Multiple cities running pilots
UBI Programs Worldwide

Important Context

As of 2025, no country has implemented a full nationwide UBI system. These are controlled pilots that inform policy discussions. The work hour reductions observed are modest—people still want to work, but gain flexibility to pursue education, caregiving, or better job opportunities.

AI's Economic Impact

AI isn't just automating tasks—it's creating economic value at unprecedented rates. The question is how this value gets distributed.

Current Impact (2025)

+1%

GDP growth boost from AI in Q2 2025

25%

Average labor cost savings from AI tools

78%

of organizations use AI in at least one function

Projected Impact

+1.5%

Annual U.S. productivity increase (next decade)

+3.7%

GDP increase by 2075 (Penn Wharton estimate)

Penn Wharton Budget Model →

The Meaning Question

One of the deepest challenges of a post-labour society is psychological. Work provides more than income — it provides identity, purpose, structure, and social connection. What replaces these functions when work becomes optional?

Research Finding: The Purpose Crisis

A 2024 Harvard study found that 58% of young adults reported experiencing little or no purpose or meaning in their lives in the previous month. This lack of meaning correlates strongly with mental health challenges including anxiety and depression.

The study also found that over half of young adults said their mental health was negatively influenced by "not knowing what to do with my life." Purpose matters—and we need to understand how to cultivate it beyond traditional employment.

History offers some precedents. The aristocracy of past eras lived without economic necessity and found meaning in art, politics, philosophy, and social pursuits. Some thrived; others descended into ennui. The difference now is scale: we're talking about this choice being available to everyone, not just a privileged few.

What Research Shows About Purpose

Having a purpose in life is associated with lower levels of depression and anxiety
People with greater purpose experience less stress and better overall mental health
Social connection is crucial—when belongingness needs are threatened, people perceive less meaning in life
Purpose can come from multiple sources beyond work: relationships, values, creativity, community, and contributing to something larger than oneself

New Forms of Contribution

In a post-labour society, human activity might shift toward pursuits that emphasize human expression, connection, and judgment rather than economically necessary output.

Creative Pursuits

Art, music, writing, design — activities valued for their human expression rather than economic output.

Example: Independent creators, community theater groups, local arts initiatives that exist for cultural value rather than profit maximization.

Care and Connection

Nurturing relationships, community building, caregiving — work that benefits from human presence and emotional intelligence.

Example: Elder care, mentorship programs, neighborhood organizing, emotional support networks that prioritize quality time over efficiency.

Learning and Exploration

Education, research, discovery — pursuing knowledge for its own sake rather than immediate economic application.

Example: Citizen science projects, independent research, lifelong learning communities, curiosity-driven investigation.

Direction and Judgment

Guiding AI systems, making values-based decisions, ensuring human interests and ethics are served in an AI-augmented world.

Example: AI alignment work, ethical review boards, democratic technology governance, human-in-the-loop oversight roles.

Economic Models: A Comparison

How would economics work in a post-labour society? Researchers and policymakers have proposed several models. Here's how the leading approaches compare, based on current evidence and analysis.

Universal Basic Income (UBI)

How It Works

Every citizen receives a regular, unconditional cash payment regardless of employment status or income level. Funded by taxes on AI-generated productivity, wealth taxes, or resource revenues.

Advantages

  • Maximum individual freedom and choice
  • Eliminates means-testing bureaucracy
  • Reduces stigma of receiving benefits
  • Provides floor that prevents falling too low
  • Pilot data shows no "laziness" effect

Challenges

  • !Very high cost (requires major tax reforms)
  • !Potential inflation if not carefully designed
  • !May not address specific needs (healthcare, housing)
  • !Political difficulty of implementation

Real-World Status: No full national implementation. Pilots in Kenya, Finland, US show promise. Alaska Permanent Fund is longest-running partial example (since 1982).

Universal Basic Services (UBS)

How It Works

Essential needs (housing, healthcare, education, transportation, internet) are provided free or heavily subsidized, funded by AI productivity. Citizens receive services rather than cash.

Advantages

  • More cost-effective than cash transfers
  • Directly addresses essential needs
  • Highly redistributive (benefits poorest most)
  • Builds on existing public services
  • More politically feasible in many contexts

Challenges

  • !Less individual choice and autonomy
  • !Requires large public sector capacity
  • !Risk of bureaucratic inefficiency
  • !May not cover all individual needs

Real-World Status: UNESCO research shows existing public services in OECD countries worth 76% of poorest quintile's income vs 14% of richest.

Shared Ownership Models

How It Works

AI systems and automation infrastructure are owned collectively through public ownership, worker cooperatives, or sovereign wealth funds. Benefits are distributed as dividends or shared profits.

Advantages

  • Addresses wealth concentration at the source
  • Gives citizens stake in AI economy
  • Democratic control over powerful systems
  • Incentivizes responsible AI development
  • Sustainable long-term funding model

Challenges

  • !Requires fundamental restructuring of ownership
  • !Massive political resistance from current owners
  • !Complex governance and decision-making
  • !Risk of inefficiency or capture

Real-World Status: Norway's sovereign wealth fund ($1.7T) and Alaska Permanent Fund provide precedents. Tech cooperatives and public ownership models being explored.

The Common Thread

All three approaches share a fundamental insight: when AI dramatically increases productivity, we need mechanisms to distribute the benefits broadly rather than letting them concentrate among AI owners. The models differ in how distribution happens—through cash, services, or ownership—but agree on the need for some form of redistribution to maintain a functioning society and economy.

The Transition Challenge

The hardest part isn't imagining the end state — it's managing the transition. Moving from a work-based society to a post-labour society is a multi-generational project involving deep changes to education, policy, culture, and identity.

Key Transition Areas

Rethinking Education

What skills matter when AI does most work? Education needs to shift toward creativity, critical thinking, emotional intelligence, and lifelong learning rather than job-specific training.

Restructuring Social Safety Nets

Current systems tie benefits to employment. We need new models that provide security whether people work traditionally or not—experimenting with UBI, UBS, or hybrid approaches.

Developing New Sources of Meaning

With 58% of young adults already struggling with purpose, we need intentional efforts to build community, support creative pursuits, and help people find meaning beyond employment.

Ensuring Broad Benefit Distribution

AI benefits are currently concentrating among tech companies and their shareholders. Policy interventions—taxation, regulation, public ownership—are needed to ensure widespread prosperity.

These are not primarily technical challenges — they're social, political, and psychological challenges. The technology to enable a post-labour society already exists or is rapidly developing. The harder work is building the institutions, policies, and cultural frameworks to make the transition equitable and humane.

Thought Leaders & Academic Discourse

The idea of a post-work society isn't new, but it's gained urgency as AI capabilities accelerate. Here are key voices shaping the conversation.

Nick Srnicek & Alex Williams

Authors of "Inventing the Future: Postcapitalism and a World Without Work"

Argue for a post-work consensus built on three pillars: full automation to free labor from routine work, a sharply reduced work week, and universal basic income. They emphasize that anti-work politics should appeal broadly enough to form a populist movement.

Additional work: "Platform Capitalism" (2016), "After Work" (2023)

Rutger Bregman

Author of "Utopia for Realists" and public intellectual

Advocates for three solutions to create an ideal society: universal basic income, a 15-hour work week, and open borders. Emphasizes intellectual honesty in evaluating evidence—in 2024, acknowledged mixed results from recent UBI pilots while maintaining commitment to the idea.

BBC Reith Lectures 2025: "The Moral Revolution"

Post-Labor Economics: A Systematic Review

A comprehensive 2025 academic review synthesized research across economics, sociology, and technology studies, organizing discourse around four themes:

  • 1.Theoretical frameworks for conceptualizing post-labor economies
  • 2.Transition pathways from current labor-centric systems
  • 3.Distribution models when income decouples from employment
  • 4.Governance and policy implications of reduced labor requirements

Key debate: Is technology's impact on work predetermined, or shaped by human choices? The review emphasizes that post-labor outcomes depend on governance, policy incentives, and societal pressures—not technological determinism.

Not Utopia, Not Dystopia

A post-labour society could be wonderful or terrible depending on how we build it. It could mean freedom, creativity, and flourishing for all — or it could mean purposelessness, inequality, and loss of human agency.

The outcome isn't predetermined. It depends on the choices we make now about how AI is developed, who benefits from it, and what kind of society we want to create. The evidence from real-world experiments—UBI pilots, reduced work weeks, AI productivity gains—shows that positive outcomes are possible. But they require intentional design, equitable distribution mechanisms, and attention to human psychological needs.

Positive Scenario

  • • Broad distribution of AI benefits
  • • Freedom to pursue meaningful work
  • • Strong social safety nets
  • • Investment in community and culture
  • • Democratic control over powerful systems
  • • Focus on human flourishing over GDP

Negative Scenario

  • • Extreme wealth concentration
  • • Mass unemployment without support
  • • Widespread purposelessness and despair
  • • Loss of human agency and dignity
  • • Social fragmentation and instability
  • • Authoritarian control through dependency

The Planetary Labour Vision

At Planetary Labour, we believe in a future where AI amplifies human capability rather than replacing human value. Where the benefits of AI labour are broadly distributed. Where humans are freed to pursue meaning, creativity, and connection.

This isn't inevitable — it's a choice. And building it starts with how we design AI systems today. The research is clear: automation can improve lives, reduce drudgery, and create space for human flourishing—if we build the social and economic structures to support it.

The data from Iceland, Kenya, Finland, and dozens of other experiments shows that when we give people security and reduce mandatory work hours, they don't become lazy. They become healthier, happier, more creative, and more engaged in their communities. That's the future worth building.

Sources & Further Reading

Related Articles

Part of the Planetary Labour knowledge base on AI and the future of work. This page synthesizes research from dozens of academic studies, pilot programs, and economic analyses to provide an evidence-based perspective on post-labour futures.

Read the Planetary Labour Manifesto →