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The “brain economy” is a way to understand how brain health and human skills shape people’s well-being and society’s capacity to function and prosper. Attention matters within that framework, but it is not the whole of brain capital—and the sources do not classify attention as literal infrastructure. The infrastructure analogy points instead to how much economic and social life depends on people being able to think, learn, relate, adapt, and participate.

What is the brain economy?

The brain economy is an emerging framework for connecting neuroscience with economic, social, technological, and policy questions. A 2024 article in Molecular Psychiatry describes it as a person-centered approach: it considers both how people contribute to economic life and how economic arrangements shape their lives. At its center is “brain capital,” the combined importance of brain health and the resources people use to function and contribute.

The term is broader than attention or productivity. In a 2026 report, the McKinsey Health Institute and World Economic Forum describe brain capital as two linked components:

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  • Brain health: healthy brain functioning and development, along with prevention and treatment of mental, neurological, and substance-use conditions.
  • Brain skills: cognitive, interpersonal, self-leadership, and technological-literacy abilities. Examples include creative and analytical thinking, resilience, flexibility, and complex decision-making.

Attention belongs among the cognitive capacities that help people learn, make decisions, and engage with others. It is one part of this larger picture, not a synonym for brain capital.

Why call attention “critical infrastructure”?

Infrastructure usually means systems or assets that support many other activities. Calling attention critical infrastructure is a metaphor: schools, workplaces, public services, and economies all rely on people’s capacity to focus and use other brain skills. But the sources behind the brain-economy framework discuss brain health, skills, economic conditions, and institutional investment; they do not establish attention as a formal infrastructure category or offer a standalone estimate of its economic value.

The metaphor is useful when it directs attention to the conditions that enable people to function. It becomes misleading if it reduces economic life to attention capture, or suggests that a single cause—such as screen use or digital products—explains the brain economy. The reviewed framework does not establish that causal model.

How do material conditions affect attention?

Attention is shaped not only by individual ability but also by the demands people face. An OECD policy chapter explains that chronic scarcity and instability can consume time and attention as people try to secure necessities, placing further demands on cognition. Streamlining administrative processes is one example of a way institutions can reduce that burden.

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This connection makes attention economically and socially consequential without making it an independently priced asset. The sources reviewed do not provide a directly comparable estimate of the monetary value of human attention alone.

Why are employers and policymakers discussing brain capital?

Brain health and brain skills affect people across settings and stages of life, while responsibility for supporting them is spread across institutions. The Global Brain Economy Initiative identifies coordination gaps among healthcare systems, employers, education institutions, and governments. A brain-economy lens asks how these actors can address health, skills, and supportive conditions together rather than treating them as separate concerns.

Economic estimates help explain why the subject attracts attention, but they are projections, not observed returns. The McKinsey Health Institute says scaling known brain-health interventions could avert 267 million disability-adjusted life years globally by 2050 and generate up to $6.2 trillion in cumulative GDP gains. These are modeled estimates associated with a future expansion of interventions; they are not guaranteed outcomes.

Other figures should not be casually combined with those estimates. The Global Brain Economy Initiative’s current website displays an $8.5 trillion annual cost associated with impaired brain health, but the page does not disclose the model or underlying date. The World Economic Forum’s 2024 article repeats a different annual-cost estimate and a 2030 projection. Differences in definitions, dates, and modeling mean these amounts are not automatically comparable to one another or to MHI’s cumulative gains estimate.

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What can institutions do?

The 2026 McKinsey Health Institute and World Economic Forum report organizes action around five levers. They are a broad agenda, not evidence that every program under each heading has been evaluated or produces the same results.

  1. Safeguard brain health: promote brain health across the life course and support effective care.
  2. Foster brain skills: build relevant skills across generations.
  3. Study brain capital: define the concept more precisely, develop measures, and expand research.
  4. Invest in improvement: support products, services, and systems intended to improve brain capital.
  5. Coordinate action: mobilize a broader movement across sectors and institutions.

Examples in the World Economic Forum’s 2024 article span early education, family support, and workplaces. The OECD’s example—simplifying administrative processes that drain time and attention—shows how policy design can also matter. These are proposed settings and actions, not proof that every named initiative works equally well or produces a particular economic return.

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How to assess a brain-capital initiative

Whether an organization is considering a workplace effort, a school program, or a public policy, a useful comparison starts with the intended outcome and the people it is meant to serve. The framework below helps make proposals more specific without implying that the cited sources have compared every option head to head.

  • Population and life stage: Is the effort for early childhood, working-age adults, later life, or another defined group?
  • Setting and responsibility: Is it led through health services, schools, employers, families, or government—and who is accountable?
  • Intervention: Does it focus on prevention and supportive environments, access to care, skills development, research, or measurement?
  • Evidence and measurement: Which outcome will be tracked, for which population, and over what period?
  • Equity and reach: Can people in underserved communities and lower-resource settings access it?
  • Economic claim: Is the claim about individual or organizational outcomes, or a modeled population-level GDP estimate? Keep those measures distinct.

What the brain economy does—and does not—say

The brain economy offers a way to connect human well-being with economic capacity. Its central idea is broader than attention: brain health and a range of cognitive, interpersonal, self-leadership, and technological-literacy skills all contribute to brain capital. Attention is important because it supports those capacities and can be burdened by economic and administrative conditions. “Critical infrastructure” is a useful metaphor for that dependence, not a formal classification or a claim that attention alone determines economic performance.

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Sources: Molecular Psychiatry (2024); McKinsey Health Institute and World Economic Forum (2026); OECD (2021); World Economic Forum (September 9, 2024); Global Brain Economy Initiative; McKinsey Health Institute impact estimates.

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