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February 8, 20260 citationsOpen Access

Geospatial AI and Employment Opportunities in India's Digital Economy

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DDDr. Sushant Das

Key Points

  • The paper investigates how Geospatial AI impacts employment opportunities in India's digital economy.
  • Analyzed trends in the integration of GeoAI with various sectors
  • Assessed the employment opportunities generated by AI-driven technologies
  • Evaluated challenges such as data privacy and accessibility
  • Identified high-demand roles including geospatial analysts and AI-driven cartographers
  • Highlighted government initiatives promoting AI skill development
  • Explored the need for policy reforms to address skill gaps

Abstract

Geospatial Artificial Intelligence (GeoAI) is revolutionizing India's digital economy by enhancing geographic data analysis, automation, and decision-making. The integration of AI with Geographic Information Systems (GIS) is creating new employment opportunities across various sectors, including urban planning, agriculture, disaster management, and smart cities. AI-driven geospatial technologies enable efficient land-use mapping, environmental monitoring, and infrastructure development, fostering sustainable growth. As India advances in digital transformation, GeoAI is generating high-demand job roles such as geospatial analysts, AI-driven cartographers, and remote sensing specialists. Moreover, government initiatives like Digital India and Make in India are promoting AI-based skill development programs, ensuring a workforce equipped with GeoAI expertise. However, challenges such as data privacy, accessibility, and the digital divide must be addressed to maximize AI’s potential in geospatial employment. This paper explores the impact of GeoAI on employment in India's digital economy, analysing trends, opportunities, and challenges. It highlights the need for policy reforms, industry-academia collaborations, and AI-driven training programs to bridge skill gaps and enhance job prospects. Ultimately, leveraging GeoAI can lead to a more efficient, data-driven workforce, accelerating India’s economic and technological progress.

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Cite This Study

Dr. Sushant Das (2025) studied this question.

synapsesocial.com/papers/6988291e0fc35cd7a8849384https://doi.org/10.5281/zenodo.18496252
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