Transition to the Intelligence Age

The transition to the Intelligence Age is a profound shift in how we create value and participate in the economy. Below is a concise map of the transition, its challenges, and the opportunities.

• Past: Pre‑industrial and Industrial Age

  Focus: Physical strength and manual labor.

  • Economic value tied to physical capabilities.
  • Strength as a proxy for productivity.
  • Shift toward technical skills during industrialization.
  →

• Present: Information Age

  Focus: Data, communication, and digital technology.

  • Digital data and global connectivity.
  • Shift toward knowledge work and information processing.
  • The internet, personal computers, and mobile devices.
  • Challenges: Information overload, digital privacy, and the digital divide.
  →

• Transition to Intelligence Age

  Focus: Intelligence and problem-solving.

  • AI surpasses humans in specific intellectual tasks.
  • Economic value shifting to creativity and strategy.
  • Challenges: Job displacement and redefining human worth.
  →

• Intelligence Age

  Focus: Shared prosperity and redefined value systems.

  • Universal Basic Income (UBI) or dividends as a safety net.
  • Broader capital ownership through public benefit corporations.
  • Hybrid models combining human creativity with AI.
  →

• Opportunities

  Technological: Personal AI teams, AI for education, AI for healthcare

  • 10x productivity through autonomous agents.
  • AI-driven scientific breakthroughs.
  • Global access to intelligence.
  →

• Challenges

  Economic and social: Redefining work and worth.

  • Preventing AI-driven wealth concentration.
  • Ensuring economic dignity for all.
  • Overcoming societal resistance to change.
  →

• Continue to

  • Invest in accessible compute and energy infrastructure, ensuring equitable resource allocation.
  • Promote open-source AI and digital public goods for inclusive global participation.
  • Develop collective bargaining power for data and algorithmic rights, empowering communities and individuals.
  • Encourage ethical governance of AI/AGI, emphasizing transparency and accountability.

As we stand on the threshold of the Intelligence Age, the choices we make today will define the economic and societal structures of tomorrow. Ensuring shared prosperity and human dignity in this transformative era is both a challenge and an opportunity.