DIGITAL ECONOMY AND ARTIFICIAL INTELLIGENCE: BUSINESS CHANGE IN THE REGIONS

DIGITAL ECONOMY AND ARTIFICIAL INTELLIGENCE: BUSINESS CHANGE IN THE REGIONS

Авторы

  • Muzaffar Abdullayev

DOI:

https://doi.org/10.5281/zenodo.18908188

Ключевые слова:

Digital economy, Artificial Intelligence, business transformation, labor market, automation, innovation.

Аннотация

The rapid development of the digital economy has transformed the global business environment and significantly
affected the labor market. Artificial Intelligence (AI) has become a key driver of innovation, efficiency, and competitiveness
in various industries. This article examines the impact of AI on business operations, workforce dynamics, and skill
requirements. It highlights both opportunities, such as increased productivity and new business models, and challenges,
including job displacement, inequality, and the need for policy adaptation. The study concludes that the successful
integration of AI into the digital economy requires coordinated strategies from businesses, governments, and educational
institutions to ensure sustainable growth and equitable outcomes

Биография автора

Muzaffar Abdullayev

Renaissance University of Education, PhD,
Associate Professor, Department of “Finance and Credit”


Библиографические ссылки

1. Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work. National Bureau of Economic

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Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3

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w24235

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108–116.

7. Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works:

Automation, employment, and productivity. McKinsey Global Institute.

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9. World Economic Forum. (2020). The future of jobs report 2020. World Economic Forum. http://www3.weforum.org/

docs/WEF_Future_of_Jobs_2020.pdf

Загрузки

Опубликован

2026-03-01

Как цитировать

Abdullayev , M. (2026). DIGITAL ECONOMY AND ARTIFICIAL INTELLIGENCE: BUSINESS CHANGE IN THE REGIONS. ЗЕЛЁНАЯ ЭКОНОМИКА И РАЗВИТИЕ, 4(3). https://doi.org/10.5281/zenodo.18908188
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