Human Intelligence Surplus (HIS)
A New Asset Class for the AI Century

In an era dominated by fears of automation and job loss, a paradigm shift is necessary. Scarcity thinking views AI as a threat, leading to a race-to-the-bottom for wages and widespread fear of displacement. A surplus system, however, reframes the narrative: it focuses on measuring skills, matching talent globally, and ultimately, multiplying employment.

Human Intelligence Surplus (HIS) is a new framework designed by Intellibus to inventory, grow, and deploy verified skill capacity at scale. It addresses the urgent global need for scalable workforce solutions, highlighted by major institutions. The IMF notes that AI will impact almost 40% of jobs worldwide [IMF], while the World Bank warns that 1.2 billion young people will enter the workforce in the next decade amid a jobs deficit [World Bank]. HIS provides a mechanism to navigate this new landscape.

At its core, HIS is a live, dynamic registry of skill supply. It originates from the Genius Quotient™ (GQ), a system created by Intellibus to map job domains, test for specific skills, and render a unique "skill-shape" for each individual. By aggregating thousands of these verified profiles, HIS creates a national or regional skills inventory. This transforms fragmented human capital into a transparent, actionable asset.

This approach fills a critical gap left by traditional labor surveys, which track employment but not the granular quality of skills. HIS provides real-time insight into occupational depth and cross-disciplinary breadth, allowing policymakers to see not just how many engineers a country has, but at what quality and how quickly they can be deployed.

HIS provides a powerful labor-market intelligence system that creates value for all stakeholders. It aligns with the broad goals of global institutions by providing a concrete mechanism to achieve them.

HIS operates as a continuous, self-improving loop designed to convert surplus human capacity into productive employment.

HIS is a framework designed to turn fragmented skills into a measurable, investable, and sovereign asset. It provides the data backbone for Universal Skills Employment (USE)—a federated job grid where individuals are matched on verified skills and employers pay for talent, not location.

While income-based solutions like UBI have shown small employment effects [Finland/Kela], a skills-first system like HIS offers a path toward productive employment and economic dignity. It operationalizes the urgent global needs identified by leading institutions—for human-centered transitions, lifelong learning, and solutions to the youth employment gap—into a system where employment can be fair, measurable, and universal.

• [ILO] International Labour Organization (2019). Centenary Declaration for the Future of Work. Calls for a "human-centred approach" and "investing in people's capabilities."
• [IMF] International Monetary Fund (2024). Gen-AI: Artificial Intelligence and the Future of Work. Notes AI will affect "almost 40 percent of jobs around the world."
• [UNESCO] UNESCO (2021). Reimagining Our Futures Together. Emphasizes lifelong learning and a new social contract for education.
• [World Bank] World Bank (2025). Jobs: The Surest Way to Fight Poverty and Unlock Prosperity. Warns "1.2 billion young people will reach working age" this decade while projected jobs lag.
• [Finland/Kela] Kela (2020). Final results of the basic income experiment. Final UBI experiment results: found small employment effects with better well-being.