Mazarr’s Societal Characteristics for AI Competitiveness

Society
Published

July 6, 2026

Society technology state-capacity

We don’t need an AI strategy. We need a strategy for national renewal and competitive advantage that uses the capabilities and opportunities of the AI Era to achieve its goals.

Origin

Michael Mazarr, A New Age of Nations: Power and Advantage in the AI Era (RAND, 2026), drawing on a prior study for the US Office of Net Assessment on societal characteristics that shape long-term national competitiveness. Applied to India by Pranay Kotasthane in Anticipating the Unintended #336.

What it says

Seven societal characteristics determine whether nations rise or decline during technological transitions:

  1. National ambition and will — a society-wide aspirational narrative that transcends party lines.
  2. Unified national identity — societies with a shared sense of who they are mobilise more effectively.
  3. Shared opportunity — gains from technological revolutions must be broadly distributed, not concentrated.
  4. Active and engaged society — vibrant civic life and entrepreneurial energy, channelled productively.
  5. Effective government institutions — state capacity to absorb, deploy, and regulate new technologies.
  6. Learning and adaptive intellectual climate — education systems that foster critical thinking, not just credentialism.
  7. Diversity and pluralism — intellectual openness that enables experimentation and course correction.

Applied to India: strong on ambition (Viksit Bharat 2047) and demographic energy, mixed on identity and opportunity, weakest on institutional capacity. The real bottleneck is not chips — it is whether India’s institutions can process information, make decisions, and deliver services at the speed AI demands.

Applied

  • When designing national AI policy that goes beyond compute and model access.
  • When evaluating a country’s readiness for any general-purpose technology transition, not just AI.
  • When arguing that diffusion — the ability to take technology from lab to field at population scale — matters more than invention.

When it falls short

The seven characteristics are broad enough to be applied to almost any era, which raises the question of their specificity to AI. The framework is diagnostic, not prescriptive — it tells you what matters but not how to build institutional capacity or shared opportunity in practice. Country-specific constraints (India’s federalism, caste dynamics, linguistic diversity) require translation that the RAND report, written for an American audience, does not provide.

Further reading