Smile Index Proposal

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 Smile Index Proposal: Ensuring Every Child Wakes Up Smiling

Objective

Create a global "Smile Index" to measure and drive AI-driven improvements in child well-being, focusing on education, health, and mental health, ensuring every child wakes up smiling.

Background

  • Current Issue: AI reaches 0.02% of 272 million out-of-school youth, 2% of 8 billion in healthcare, and 50% of militaries (UNESCO, WHO, SIPRI, 2023). Global military spending ($1.7 trillion) dwarfs social AI ($26 billion).
  • Goal: Redirect 20% of VC AI funding ($20 billion of $100 billion) to social AI, reaching 50 million children by 2030.

Smile Index Metrics

1.    Education Access: % of children with AI-driven learning tools (e.g., Khan Academy, 20% learning gains).

o   Target: 50% of 272 million out-of-school youth (136 million) by 2030.

2.    Health Outcomes: % reduction in childhood obesity (14.1 million in U.S.) and access to AI diagnostics (e.g., Ada Health, 90% accuracy).

o   Target: 20% reduction for 100 million children globally.

3.    Mental Health: % of children with AI mental health support (e.g., Wysa, 70% improvement).

o   Target: 20% of 1.6 billion children (320 million) with access.

4.    Equity: % reduction in gaps for low-income/minority children (e.g., 50% U.S. Black students lag in reading).

o   Target: 20% gap closure.

Implementation

1.    Startup Role:

o   Develop offline AI tools (e.g., $50 Raspberry Pi tutors) for 66% of developing nations without internet.

o   Pilot 100 projects (10 million children) by 2026, scaling to 1,000 (50 million) by 2028.

2.    VC Role:

o   Invest $20 billion in equity-first startups (e.g., Harlem Capital model).

o   Tie funding to Smile Index gains (e.g., $10 million for 10% literacy boost in 1 million children).

3.    Partnerships:

o   Collaborate with USAID, UNICEF, and U.S. ESSA ($18 billion) for scale.

o   Use open-source platforms (e.g., Pratham’s ASER, 1 million students).

4.    Advocacy:

o   Lobby for 5% military budget reallocation ($85 billion globally).

o   Amplify via X (#AIforSmiles) to reach 1 million users.

Impact

  • 2025–2030: Reach 50 million children, closing 20% education/health gaps.
  • Long-Term: Scale to 100 million, ensuring every child wakes up smiling, countering military AI’s 4–6 billion death risk.

Funding

  • VC Commitment: $20 billion from $100 billion AI pool (2023).
  • Government Match: $40 billion U.S. (5% of $877 billion defense), $85 billion global (5% of $1.7 trillion).
  • ROI: 10% higher returns for 1 million children reached, per Acumen Fund model.

Next Steps

1.    Convene VC-startup summit (Q1 2026) to pledge $20 billion.

2.    Launch pilot projects in 100 U.S./global communities (10 million children).

  1. Publish Smile Index annually, starting 2027, to track progress.

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