Insights & Research
Evidence for the next economy
The doctrine sets out what we believe. This is the evidence work behind it: what we measure, how we classify what we know, the questions every venture must answer, and what we intend to publish.
Research programme · Version 4.0 Draft · July 2026 Beta
Our Belief
Progress is powerful, but never neutral
Humanity is entering the greatest economic transformation since the Industrial Revolution. Prosperity, however, is not distributed automatically.
Artificial intelligence, biotechnology, robotics, advanced manufacturing and digital infrastructure will generate extraordinary prosperity. Throughout history, every technological revolution has produced both immense wealth and new forms of exclusion.
That is why our research is not an ornamental activity. Each output should inform venture creation, capital allocation, public policy, Academy curricula or institutional standards. Where evidence contradicts a thesis, the thesis changes.
Intelligence Infrastructure
The AI Economy & Workforce Observatory
An independent global intelligence platform measuring AI adoption, task-level workforce transformation, economic concentration and emerging opportunities for venture creation. It will not simply describe what is happening; it connects evidence to action.
01
AI economic indicators
Investment, productivity, adoption, infrastructure and geographic capability.
02
Task-level workforce data
Automation, augmentation, displacement, entry pathways and emerging occupations.
03
Real-time adoption metrics
Enterprise maturity, deployed agents, workflow integration, return on investment and governance.
04
New taxonomies of work
Human-essential, human-led, AI-led, autonomous, newly created and transition-vulnerable work.
05
Agency & dependency metrics
Concentration, portability, resilience, ownership and bargaining power.
06
Venture signals
Problems, markets and concepts mapped into the ImpactOS evaluation process.
Research Programme
Publications
One founding note is published today. Six standing outputs are planned — each intended to create intellectual authority and practical value, and to be useful to founders, investors, institutions and policymakers alike.
Published
Planned recurring publications
Observatory · In development
State of Economic Agency
A standing read on ownership, optionality, bargaining power, portability, capability and resilience — the six attributes by which we judge whether participation changes a participant's position.
Observatory · In development
Global AI Workforce Index
Task-level change rather than occupation-level speculation: what is being automated, what is being augmented, which entry pathways are narrowing, and which occupations are being created.
Observatory · In development
Venture Dependency Index
Where a business, sector or country can be disabled by a single provider, network, marketplace, model or jurisdiction — and what credible alternatives exist.
Observatory · In development
Financial Inclusion Scorecard
Inclusion measured as knowledge, tools, trust and productive assets — not the presence of an account. Treats financial literacy as infrastructure, from childhood through retirement.
Observatory · In development
Sovereign Technology Readiness Report
The capacity of middle powers and smaller markets to preserve strategic options across data, compute, payments and critical digital infrastructure.
Observatory · In development
Responsible AI Adoption Report
Whether AI infrastructure remains contestable, accountable and accessible: governance maturity, disclosure practice, portability and the distribution of benefit.
Publication dates are indicative. No output will be released before its methodology and evidence classification are documented.
Method
How evidence is classified
Every metric we publish will distinguish what was observed from what was inferred. Transparency is essential to trust — and to being corrected.
| Evidence class | What it means and how it is used |
|---|---|
| Observed data | Directly measured activity from primary or authoritative sources. Carries the most weight in investment decisions. |
| Survey data | Self-reported behaviour and intent. Useful for direction and sentiment; never treated as measured outcome. |
| Estimates | Derived figures with stated method and error tolerance. Labelled wherever they appear. |
| Model-generated classifications | Machine-assigned categories — including task and work-type taxonomies. Auditable and open to challenge. |
| ImpactOS interpretation | Our judgement on what the evidence means for agency, dependency and venture creation. Clearly separated from the data. |
Integrity rule, applied to research as to scoring: no figure may be inflated to compensate for missing evidence. Assumptions must be labelled and tested.
Reporting hierarchy
Inputs
Capital, people, technology, partnerships and time committed.
Outputs
Products delivered, users reached, services provided and infrastructure deployed.
Outcomes
Changes in income, ownership, capability, access, health, resilience or dignity.
System effects
Changes in market structure, bargaining power, standards, competition or institutional capacity.
Taxonomy
Six categories of work
AI changes tasks before it eliminates occupations. Naming the categories precisely is what makes workforce change measurable rather than rhetorical.
Human-essential
Work where human presence, accountability or judgement is the point, not an inefficiency.
Human-led
People direct the work; machines extend reach, speed or accuracy.
AI-led
Systems carry the task with human review at consequential decision points.
Autonomous
Work executed end-to-end by systems, where accountability must be designed in explicitly.
Newly created
Occupations that did not previously exist — supervision of digital workers, assurance, orchestration.
Transition-vulnerable
Roles whose task mix is eroding, and where entry pathways for future experts are at risk.
Diagnostics
The questions every venture must answer
Each Grand Challenge carries its own test. These are the questions asked before a concept is scored — the working edge of the doctrine, and the part most useful to founders preparing a case.
01
Economic Agency & Financial Inclusion
Will participation help users become owners of capital rather than merely consumers of financial products?
Does the model improve financial capability and informed decision-making?
Are fees, risk and incentives transparent?
Does it reduce dependency on a single institution, payment network or proprietary platform?
Can access expand without encouraging harmful debt or speculation?
02
Responsible Artificial Intelligence
Does the system augment people, or remove them without preserving accountability?
Can users understand when and how AI is making consequential decisions?
Is the architecture portable across models, clouds or providers?
Are data rights and consent explicit?
Does it broaden access to intelligence or reinforce existing concentrations of power?
03
Future of Work & Human Capability
Does the venture create durable capability, or only temporary task income?
Will workers retain ownership of credentials, work history and reputation?
Does automation eliminate entry pathways needed to develop future experts?
Are productivity gains shared fairly?
Can the model create new forms of work, ownership or entrepreneurship?
04
Healthy Longevity & Ageing with Dignity
Does the venture increase independence and choice?
Does it support rather than replace essential human care?
Is consent robust for users with changing cognitive capacity?
Can families and carers participate without being overwhelmed?
Is the service affordable outside wealthy urban centres?
05
Food Security & Responsible Manufacturing
Does the product improve nutrition, not merely shelf life, novelty or margin?
Are ingredients, processes and long-term health implications transparent?
Does the model strengthen producers or increase dependency on proprietary inputs?
Can production withstand geopolitical, climate or logistics disruption?
Are environmental claims supported by full-life-cycle evidence?
06
Gender Equity & Inclusive Leadership
Does the venture address a measurable and unjustified disparity?
Are women represented in ownership, governance and product design?
Does the model remove structural barriers rather than merely market to women?
Are benefits accessible across income, geography and cultural background?
Can success be measured in capital access, income, ownership, health or leadership outcomes?
07
Climate, Energy & Circular Systems
Does the venture improve total system outcomes rather than shift harm elsewhere?
Can the environmental benefit survive commercial scale?
Are claims measurable and auditable?
Does the model reduce costs or create value for the communities expected to adopt it?
Does it strengthen local resilience as well as reduce global impact?
08
Education & Lifelong Learning
Does learning lead to demonstrable capability?
Can credentials be trusted and carried across employers or countries?
Does the platform support teachers and communities rather than displace them indiscriminately?
Is access affordable and inclusive?
Does it prepare learners to create and own value, not only to perform tasks for others?
09
Connected Mobility & Smart Cities
Does the service expand access rather than only optimise premium convenience?
Can users move across providers without losing identity, credit or service history?
Does the model improve safety and accountability?
Are cities and communities able to retain value from the mobility system?
Does it reduce dependence on a single marketplace or fleet operator?
10
Democratic Digital Infrastructure
Can a participant leave without losing identity, data, reputation or access?
Does interoperability create genuine choice?
Is governance accountable to the people and institutions that depend on the system?
Does the architecture avoid a single point of geopolitical or commercial coercion?
Can smaller countries, cities and businesses participate without building isolated fortresses?
Vestinit Academy
Knowledge that circulates
Lessons generated across the portfolio should become reusable capability rather than remaining trapped inside individual companies or teams. Useful knowledge should compound and circulate just as capital does.
Practitioner programmes
Founder and venture-building playbooks.
Economic Agency Investing curriculum.
ImpactOS certification and studio-operator programmes.
Capability education
Responsible AI implementation and governance guides.
Financial literacy and productive-ownership education.
Partner, government and institutional training.
Public resources
Open standards and policy resources.
Portfolio case studies and post-mortems.
Methodology notes accompanying each Observatory release.
Some knowledge may remain proprietary where necessary for security or competitive advantage. The default is to publish.
What we will not publish
Forecasts dressed as findings, figures without a stated method, vendor-sponsored conclusions, or impact claims we cannot evidence. Research that cannot be challenged is marketing.
How to work with us
We welcome data partnerships, peer review and methodology challenge from institutions, universities, regulators and practitioners working on the same questions.
Read the doctrine behind the research
The ImpactOS Founding Constitution sets out the mission, the investment doctrine, the 100-point evaluation matrix and the commitments this research programme is built to test.
Research programme · Version 4.0 Draft · July 2026. Publications described here are in development; titles, scope and timing may change. General information only — not an offer of securities or financial advice, and not a recommendation in relation to any investment.