What actually gets measured?
Brain capital remains largely unmeasured and unmanaged. Which indicators would change a decision inside a company, a health system, or a state budget.
The session moves between small-group work, challenge definition, short provocations, and collective synthesis. The questions and participants will shape the final agenda.
Twelve questions will frame the morning. They address decisions already being made inside companies, health systems, universities, cities, and public budgets.
Brain capital remains largely unmeasured and unmanaged. Which indicators would change a decision inside a company, a health system, or a state budget.
Brain skills are the capabilities that hold their value as AI skills get eaten from job to job. Which ones they are, who teaches them, and how anyone verifies them.
Which workplace designs, products, and practices measurably improve cognition over time, and which ones quietly erode it.
Investing across the lifespan, and earlier, creates greater benefit at lower cost. Which payers, employers, and public budgets carry that cost today, and what return would move them.
Which companies, categories, and business models exist because brain capital is now measurable, and which ones still need to be founded.
The same tool can build capability or spend it down. What distinguishes the two, and who is accountable for the difference.
The specific policies, benefits, and workflow decisions available to an employer who takes brain capital seriously right now.
Where municipal scale, public space, and civic institutions reach people that employers and health systems miss.
The evidence threshold, procurement path, and integration work required before a brain health intervention reaches patients at scale.
What belongs in a brain capital index, which sources are sound, and how measurement stays useful without becoming surveillance.
The standards, procurement language, and policy changes that turn a working pilot into a default.
Which challenges from this room are specific enough, urgent enough, and owned clearly enough to carry into the Top 100.
The specific conversations and contributors will change as the room comes together, but the morning follows this working structure.
Where brain capital stands, what the science now supports, and which questions the room needs to answer.
Small-group discussions shaped by the problems participants bring with them.
Turning those problems into challenges specific enough to build against.
Short contributions from people building, funding, and deploying this work now.
What became clearer, where the room disagrees, and which challenges carry forward.
After the session, participants receive a record of the challenges defined, the strongest insights and disagreements, and the priorities the room identified. The challenges that carry forward enter Human+Tech Week's Top 100 Human+AI Innovation Challenges.
Private comments will not be attributed without permission.
BUILDING THE BRAIN POSITIVE HUMAN+AI ECONOMY