FUTURE OWNED / RESEARCH THREAD 01

FROM LABOUR TO OWNERSHIP

RESEARCH QUESTION

If AI and automation reduce the economic value of human labour, does ownership become more important than employment as a route to income, security and agency?

AI may transform work rather than simply eliminate it. If technology creates greater productivity and value, who owns the assets generating that value, and how do ordinary people participate in it?

Research in developmentLast reviewed: Not yet reviewedOpen questions: 8Evidence sources: 1

MACHINES → CAPITAL

Who owns the machines?

Follow the physical tools of production, as well as the rights and institutions around them.

WHAT HAPPENS TO WORK? → MEDIA → CONNECTED EVIDENCE

Explore the work branch ↗

MEDIA / ORIGINAL PUBLISHERS

Different voices. An open question.

3 sourced episodes. Explore different perspectives, then choose a player. No autoplay.

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SOURCE MEDIA / Spotify

The impact of generative AI on jobs in Latin America

Pawel Gmyrek · Hernan Winkler · ILO — Future of Work podcast · · 18:35

Official episode artwork supplied by Spotify▶ Play on Spotify ↗

An ILO researcher and World Bank economist discuss employment exposure and the digital divide. A regional perspective, not a forecast for all workers.

The player is provided by Spotify. If it is unavailable or requires sign-in, use the direct player link above.

Follow the connected research branch ↗
SOURCE MEDIA / YouTube

Carl Benedikt Frey on AI and Growth

Carl Benedikt Frey · IMF Podcasts ·

Official IMF Podcasts video thumbnail▶ Play on YouTube ↗

An economic historian examines automation, innovation and growth. Expert interpretation to compare with the evidence, not an institutional prediction.

The player is provided by YouTube. If it is unavailable or requires sign-in, use the direct player link above.

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SOURCE MEDIA / Spotify

How AI, robots and other cutting-edge technologies can keep workers safe and sound

Manal Azzi · ILO — Future of Work podcast · · 16:12

Official episode artwork supplied by Spotify▶ Play on Spotify ↗

An occupational-safety specialist considers how robotics can protect workers, alongside risks from human–machine interaction and monitoring.

The player is provided by Spotify. If it is unavailable or requires sign-in, use the direct player link above.

Follow the connected research branch ↗

QUESTION → SIX LINES OF ENQUIRY

Follow the evidence, not a predetermined answer.

Open a branch to explore its questions. These are research directions, not findings.

FROM LABOUR TO OWNERSHIP
01WHAT HAPPENS TO WORK?

Which parts of work are being automated, augmented or made more valuable?

TOPICS TO EXAMINE

  • AI exposure
  • automation
  • job displacement
  • job creation
  • task transformation
  • wages
  • working hours
  • job security
  • bargaining power
  • skills
  • human judgement
  • new occupations

FOLLOW-UP QUESTIONS / DIMENSIONS

  • Which occupations are most exposed?
  • Are jobs disappearing or are tasks within jobs changing?
  • Which sectors are creating new work?
  • What happens to wages?
  • Does productivity growth reach workers?
  • Does working time fall?
  • Which human capabilities remain valuable?

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗

Listen to connected voices ↗

02WHAT DO PEOPLE OWN NOW?

What productive or appreciating assets do ordinary households actually own today?

TOPICS TO EXAMINE

  • homes
  • pensions
  • savings
  • shares
  • investment funds
  • business equity
  • land
  • intellectual property
  • digital assets

FOLLOW-UP QUESTIONS / DIMENSIONS

  • home ownership
  • workplace pensions
  • household wealth
  • direct share ownership
  • age differences
  • wealth inequality

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗
03WHO OWNS THE MACHINES?

When AI or automation produces more economic value, who owns the assets generating that value?

TOPICS TO EXAMINE

  • AI companies
  • models
  • intellectual property
  • compute
  • semiconductors
  • data centres
  • energy infrastructure
  • robotics
  • digital platforms
  • datasets
  • networks

FOLLOW-UP QUESTIONS / DIMENSIONS

  • Who participates through workers?
  • Who participates through founders?
  • Who participates through public shareholders?
  • Who participates through institutional investors?
  • Who participates through pension funds?
  • Who participates through governments?
  • Who participates through private capital?
  • Who participates through overseas investors?

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗

Listen to connected voices ↗

04HOW DO ORDINARY PEOPLE BECOME OWNERS?

What mechanisms currently allow ordinary people to own productive capital?

TOPICS TO EXAMINE

  • pensions
  • ISAs / investment accounts
  • public markets
  • employee share schemes
  • entrepreneurship
  • employee ownership
  • cooperatives
  • property
  • collective investment
  • community ownership

FOLLOW-UP QUESTIONS / DIMENSIONS

  • Do people think of themselves as owners when they hold productive assets through a pension?
  • How do direct and indirect ownership differ?

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗
05WHAT HAPPENS IF LABOUR CAPTURES LESS VALUE?

What happens if productivity rises but labour receives a smaller share of the economic gain?

TOPICS TO EXAMINE

  • labour income
  • capital income
  • inequality
  • wealth concentration
  • intergenerational differences
  • bargaining power
  • economic security
  • taxation
  • social mobility

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗
06WHAT COULD BROADEN OWNERSHIP?

Which ownership structures could genuinely widen participation in productive assets?

TOPICS TO EXAMINE

  • employee equity
  • worker ownership
  • cooperatives
  • citizen investment funds
  • public wealth funds
  • community ownership
  • fractional ownership
  • tokenisation
  • real-world assets
  • pension reform
  • digital ownership
  • intellectual-property participation

FOLLOW-UP QUESTIONS / DIMENSIONS

  • access
  • liquidity
  • regulation
  • risk
  • governance
  • investor protection
  • concentration
  • minimum capital requirements

OPEN ENQUIRY · Evidence review pending

View the evidence register ↗

LABOUR → MACHINES

Work may change. Who captures the value?

A change in how work is done raises another question: how are productivity gains shared?

SOURCE CONTEXT / EXPOSURE IS NOT JOB LOSS

1 in 4

One in four workers globally is in an occupation with some generative-AI exposure. Exposure measures potential task transformation, not predicted job losses or a finding about the distribution of ownership.

This measures potential exposure. It does not predict one in four jobs disappearing, or establish who captures future value.

ILO · Working Paper 140 · 20 May 2025 ↗

EVIDENCE

What can we substantiate?

WORKING EVIDENCE / institutional report

Generative AI and Jobs: A Refined Global Index of Occupational Exposure

One in four workers globally is in an occupation with some generative-AI exposure. Exposure measures potential task transformation, not predicted job losses or a finding about the distribution of ownership.

International Labour Organization ·

Related branch ↗ · Original source ↗

INFRASTRUCTURE

The intelligence may be digital. The infrastructure is physical.

Computing depends on physical systems. Ownership, access and control remain tangible questions.

OPEN QUESTIONS

Questions we don't yet know the answer to

  1. OPEN QUESTIONIf most workers have pensions, are they already capital owners without thinking of themselves that way?
  2. OPEN QUESTIONIf AI increases company productivity, who captures the gain?
  3. OPEN QUESTIONCan ownership realistically supplement declining labour income at scale?
  4. OPEN QUESTIONHow much productive capital would an ordinary household need for investment income to materially improve security?
  5. OPEN QUESTIONDoes widening access to investment reduce inequality, or primarily benefit people who already have spare capital?
  6. OPEN QUESTIONCould younger people work less while simultaneously owning less?
  7. OPEN QUESTIONWhich assets become most economically important in an AI-heavy economy?
  8. OPEN QUESTIONShould ownership of AI infrastructure become a broader public policy question?

These questions test the premise. They do not assume that labour will capture less value, or that wider investment access will automatically improve security.

ENERGY → CAPACITY

AI does not run on nothing.

Follow the energy, land and infrastructure behind computation. These are further lines of enquiry, not conclusions.

WHAT CHANGED?

A record of how the investigation develops.

No reviewed developments recorded yet. This timeline will track dated evidence, its source, why it matters and the branch it changes.

CONNECTED SIGNALS

Developments at the edges of this question.

These existing Signals concern financial infrastructure and potential routes to participation. They do not establish that labour income is declining, or that tokenisation broadens ownership.

OPEN QUESTION

What happens when productivity needs fewer people?

When fewer tasks require human labour, what changes for income, participation and ownership?

CONNECTED DISPATCHES / INTERPRETATION IN DEVELOPMENT

Where the argument may develop.

DRAFT / IN DEVELOPMENT

Who owns the machines? ↗

Investigating control of productive assets as automation changes where economic value is created.

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