The Talent Equation

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The article introduces the emerging field called the “economics of talent,” which aims to identify and nurture exceptional problem-solvers at an early stage.
Talent is defined as “the capacity to solve novel problems efficiently in a person’s late teenage years,” shaped by both innate abilities and accumulated learning.
The piece frames three central questions: How can we identify talent? What support do brilliant minds need to thrive? What is the cost to society when talent is wasted?

Historical examples illustrate how individual talent can transform fields (Srinivasa Ramanujan; Albert Einstein; Jonas Salk).
Talent often manifests in teenage years or sooner:
- “Half of the winners of the Fields Medal had previously competed in the International Mathematical Olympiad (IMO).”
Distributional gaps in discovered talent:
- “About 90 percent of young people live in developing economies,” yet Nobel Prizes in chemistry, physics, and biology are overwhelmingly won by people born in the United States, Europe, and Japan.
- “Africa has produced only three IMO gold medalists, compared with 86 for Romania.”
- India improved from “52nd in 2017” to “finished fourth among more than 100 countries at last year’s IMO.”
Supportive environments matter:
- Mentorship, financial support, and engaging peer groups can transform isolated prodigies into major contributors.
- Research cited shows “IMO medalists from low-income countries are less likely to produce influential research,” suggesting barriers such as lack of access to top universities, institutional support, and global networks.
Migration and brain circulation:
- Migration policies that promote circulation can benefit both sending and receiving countries; returnees or those who stay connected through networks spread ideas and technology.

Identification challenges:
- Standardized tests and rigid curricula can miss unconventional thinking and creative reasoning.
- Many students in remote or underprivileged regions may not take conventional tests at all.
Evaluation of new methods:
- There is insufficient robust evidence on whether “artificial intelligence tools that analyze a student’s work” can reliably identify hidden potential, how to scale such methods, or how to avoid biases favoring well-connected or wealthy applicants.
Effectiveness of interventions:
- Unclear whether specialized high schools, distance learning, or short intensive programs (for example, “six-week intensive programs”) best promote career outcomes and societal contributions for high-ability students.
Long-term impact measurement:
- Scholars “often struggle to measure the long-term effects of a single breakthrough, or multiple breakthroughs from one lab,” and which fields beyond technology, science, and art benefit most from identifying exceptional ability.

A new wave of economists is addressing talent identification and nurturing; the authors reference discussions at a National Bureau of Economic Research conference in November 2024.
Key research priorities include:
- Systematic tracking (for example, following “13-year-olds who show math flair at Olympiad camps”) to assess effects of scholarships and mentorship.
- Contextual analysis to determine which approaches scale across settings with different resources (urban tech-savvy cities versus communities with few teachers and sporadic electricity).

Complementarity of broad and targeted policies:
- Targeted support for high-ability youth can complement universal investments in education and health care rather than contradict them.
Roles for different actors:
- Governments: fund specialized secondary school programs, perform outreach to marginalized areas, and adjust admissions processes to detect unconventional brilliance.
- Universities and research institutes: form partnerships with local schools, offer remote mentoring, and refine scholarships to target “high-ability students with limited means.”
- Businesses: set up labs in emerging regions, sponsor advanced camps or competitions, and fund online platforms connecting young innovators with experts.
Examples of action:
- The authors created the Global Talent Fund and the Backing Invisible Geniuses (BIG) program, which provides scholarships, mentorship, and research opportunities to Olympiad medalists worldwide.
- The Global Talent Fund “supports organizations across more than 30 countries,” and has helped “nations like Pakistan achieve their best-ever results at the Math Olympiad.”
Migration and mobility policies:
- Encourage brain circulation through flexible policies and institutions that “allow people to travel freely back and forth,” enabling returnees or networked diaspora to transfer knowledge and catalyze local development.

Nurturing top minds is framed as a practical, non-elitist strategy that can yield disproportionate returns by preventing loss of transformative ideas.
The authors argue that discovering and fostering talent is a “missing piece of the talent equation” that must be addressed urgently to accelerate progress in areas like clean energy, global health, and artificial intelligence.
The piece closes with the observation that “Human brilliance emerges in every part of the globe,” and that the economics of talent seeks ways to ensure such individuals “get the chance to solve problems in ways that benefit us all.”

RUCHIR AGARWAL and PATRICK GAULE, “The Talent Equation,” F&D Magazine, March 2025.