Policy Snapshot

Giving citizens a direct ownership stakes in AI infrastructure via equity stakes

Scenario

Gradual
Augmentation

All Scenarios

Rapid
Automation

Scope

Near Term
(Volatility Risks)

Medium Term
(Transition Risks)

Long Term
(Structural Risks)

Governance Level

Local

National

International

Target

Entrepreneurs

Displaced Workers

Primary Actor

Governments

Private Actors

/

Labor Market Adaption & Education

/

Formal Education

AI Literacy

AI literacy embedded across all education levels, covering how AI systems work and their societal implications, along with the critical thinking skills needed to navigate an AI-permeated world.

What it is:

AI literacy combines understanding how AI systems function, evaluating their outputs critically, and recognizing their societal implications. Integration should be developmentally appropriate, starting with awareness in elementary grades and progressing through increasingly sophisticated engagement with AI systems by high school. Critically, AI literacy should not be siloed into computer science classes alone but embedded across subject areas, as students will encounter AI tools in every discipline and profession.

Recommended Reading:
U.S. Executive Order 14277

Advancing Artificial Intelligence Education for American Youth

April 2025

President Trump signed Executive Order 14277, "Advancing Artificial Intelligence Education for American Youth," establishing a White House Task Force on Artificial Intelligence Education. The order directs agencies to form public-private partnerships with AI industry organizations, academic institutions, and nonprofits to develop online resources teaching K-12 students foundational AI literacy and critical thinking skills. The order also establishes the Presidential Artificial Intelligence Challenge to celebrate student and educator achievements in AI.

OECD & European Commission

Empowering Learners for the Age of AI

May 2025

This report defines AI literacy as the combination of technical knowledge, durable skills, and future-ready attitudes required to effectively thrive in an AI-influenced world. It establishes a comprehensive framework built on four core domains: Engaging with AI (accessing and evaluating information), Creating with AI (collaborating on problem-solving and creative tasks), Managing AI (delegating tasks while retaining human agency), and Designing AI (shaping systems to be ethical and effective).

University of Notre Dame & Americans for Responsible Innovation

Proactively Developing & Assisting the Workforce in the Age of AI

July 2025

This report recommends modernizing education to incorporate AI literacy across K-12, higher education, and career and technical education. It emphasizes teaching skills that complement AI – critical thinking, creativity, social interaction – alongside technical understanding. The report calls for sustainable funding mechanisms supporting lifelong AI literacy as capabilities evolve.

Real-world precedents:

Several countries have successfully revamped technical literacy education in response to technological change.

  • Estonia launched the ProgeTiger program in 2012 to integrate technology, programming, and robotics into the national curriculum. By 2021, the initiative had achieved widespread adoption, with government data confirming that 99% of kindergartens and 98% of general education schools had participated in the program's activities. The program is widely considered a success, credited with contributing to Estonia's top-tier PISA rankings in Europe and creating a robust national network of technologically competent teachers.

  • Finland revamped its national curriculum in 2014 to embed media and information literacy across all subjects, specifically to combat disinformation. The initiative treats critical thinking as a primary civic defense, requiring students to verify sources, identify bias, and understand algorithmic influence.

Securing humanity's AI future

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