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Research domain 03

AI Economy

Intelligence changes how value is created, exchanged and governed.

We study the economics of intelligent labour, agent-enabled organisations, digital value, capital allocation, compute, energy and the distribution of AI opportunity between firms, workers and regions.

Research direction—not a product announcementBilingual · Source-linked · Evidence-labelled
AI EconomyFUURAA conceptual visual

Open research questions

Questions that should remain visible while the field moves.

  1. 01

    How will intelligent labour change productivity, firm design and the meaning of work?

  2. 02

    Which identity, payment and governance layers are required for agent-mediated exchange?

  3. 03

    How can the benefits of AI diffuse beyond the largest firms and richest economies?

Reference points

Public work informing this research direction.

These sources are independent references. Listing does not imply collaboration, approval or endorsement.

01Stanford HAI

The 2026 AI Index Report

Independent measurement of capability, investment, adoption and social effects.

Open canonical source ↗02OECD

Generative AI and the SME Workforce

Survey evidence on adoption, skills and productivity in smaller firms.

Open canonical source ↗03IEA

Energy and AI

Openly licensed modelling of electricity demand, supply and infrastructure.

Open canonical source ↗

Related publications

Evidence reviewed through the FUURAA research lens.

Live evidence radar

Recent signals connected to this domain.

Search all frontier signals →
EmergingEuropean Central Bank · 24 June 2026

Deep AI adoption requires patient finance

The ECB links intensive use with broader investment and multiple financing sources. Custom integration, infrastructure and organisational redesign demand more durable funding than buying general-purpose licences.

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ForecastEuropean Central Bank · 24 June 2026

Competitive pressure will accelerate AI intensity

ECB evidence suggests firms deepen AI use when peers and technologically advanced entrants move first. Diffusion may therefore arrive in sectoral waves rather than at a uniform economy-wide pace.

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EmergingOrganisation for Economic Co-operation and Development · 28 May 2026

Comparable disclosure creates a common trust language

Common reporting fields make it easier to compare risk assessment, security, accountability and transparency practices across organisations.

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ForecastInfocomm Media Development Authority of Singapore · 20 May 2026

Sector agent playbooks will supplement generic rules

FUURAA expects broad principles to be translated into sector-specific controls for health, finance, education and public services.

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ObservedStanford Institute for Human-Centered Artificial Intelligence · 20 May 2026

Experts and the public see different AI futures

The report highlights large gaps between expert and public expectations about jobs, the economy and medical care.

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EmergingCouncil of Europe · 15 May 2026

Rights-impact assessment will join technical testing

Accuracy and robustness do not reveal whether a system undermines equality, participation, due process or other protected interests.

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ObservedWorld Health Organization Regional Office for Europe · 20 April 2026

AI is already entering EU health systems

WHO's assessment finds broad momentum across all 27 EU Member States, with patient care a shared driver and clinical use already under way in many systems.

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ObservedInternational Energy Agency · 16 April 2026

AI power demand is now an operating constraint

The IEA’s 2026 update treats electricity availability, grid timing and local concentration as central variables in AI expansion. Compute plans can no longer assume power arrives automatically.

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Keep the question open

Research advances when evidence, engineering and criticism can meet.

Researchers, engineers, universities and public institutions may propose sources, corrections or areas for structured review.

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