Artificial Intelligence in the 2020s: Key Trends, Innovations, and Future Directions

Artificial Intelligence (AI) has emerged as a transformative force across multiple sectors, redefining business operations, social interactions, and policy frameworks. This study explores recent trends in AI development and deployment, with a specific focus on advancements between 2020 and 2025. Drawing on academic literature, industry reports, and global policy developments, the paper highlights the rise of generative AI, increasing investments, sector-specific applications, and growing concerns around ethics and governance. Using a systematic literature review methodology, it identifies six dominant themes: the proliferation of generative models, ethical and regulatory challenges, labor market impacts, geopolitical dynamics, and sector integration. The paper concludes that while AI presents substantial opportunities for innovation and economic growth, it also necessitates robust policy mechanisms and responsible integration strategies to address emerging risks. The findings provide valuable insights for researchers, practitioners, and policymakers navigating the complex AI landscape in India and globally.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15594659
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in the 2020s: Key Trends, Innovations, and Future Directions

Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

Artificial Intelligence in the 2020s: Key Trends, Innovations, and Future Directions

article en

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across multiple sectors, redefining business operations, social interactions, and policy frameworks. This study explores recent trends in AI development and deployment, with a specific focus on advancements between 2020 and 2025. Drawing on academic literature, industry reports, and global policy developments, the paper highlights the rise of generative AI, increasing investments, sector-specific applications, and growing concerns around ethics and governance. Using a systematic literature review methodology, it identifies six dominant themes: the proliferation of generative models, ethical and regulatory challenges, labor market impacts, geopolitical dynamics, and sector integration. The paper concludes that while AI presents substantial opportunities for innovation and economic growth, it also necessitates robust policy mechanisms and responsible integration strategies to address emerging risks. The findings provide valuable insights for researchers, practitioners, and policymakers navigating the complex AI landscape in India and globally.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 42%
Digital Economy and Work Transformation
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