Analyze the global and local inequalities in AI access and its implications on fairness in economic growth. What strategies can be pursued to ensure equitable AI benefits?

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PocketIAS · Accepted Answer

Introduction

Artificial Intelligence (AI) is emerging as a transformative general-purpose technology. However, unequal access to AI infrastructure, data, skills, and capital has created widening global and local disparities, raising concerns about fairness in economic growth and development.

Global Inequalities in AI Access

Technological Concentration: Advanced AI research and compute power are concentrated in a few countries, primarily the U.S. and China.
Data and Infrastructure Gaps: Developing nations lack high-performance computing facilities, quality datasets, and semiconductor ecosystems.
Capital and Talent Asymmetry: Venture funding and AI talent pools are unevenly distributed, reinforcing digital divides.
Norm-Setting Power: Dominant countries shape global AI standards, influencing governance frameworks.

Local Inequalities

Digital Divide: Rural-urban and gender disparities limit access to digital infrastructure and AI-enabled services.
Skill Polarisation: High-skilled workers benefit disproportionately, while low-skilled labour faces automation risks.
MSME Exclusion: Smaller enterprises struggle to adopt AI due to cost and capability constraints.

Implications for Fair Economic Growth

Risk of “AI-driven inequality,” where productivity gains accrue to capital-intensive firms.
Potential job displacement without adequate social protection.
Entrenchment of regional and income disparities within and across nations.

Strategies for Equitable AI Benefits

Public Digital Infrastructure: Develop open AI platforms, public datasets, and affordable cloud access.
Inclusive Skilling: Invest in mass digital literacy, AI training, and reskilling programmes.
Support for MSMEs: Provide fiscal incentives and shared AI tools to democratise adoption.
Ethical and Regulatory Frameworks: Ensure transparency, non-discrimination, and accountability in AI systems.
Global Cooperation: Promote technology transfer and capacity-building in the Global South.

Conclusion

Addressing inequalities in AI access is essential to ensure that technological progress translates into inclusive and sustainable economic growth. A proactive, equity-driven policy framework can transform AI from a source of disparity into an instrument of shared prosperity.

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