Skip to content

ՀՀ-ում արհեստական բանականության տարածվածության մակարդակի վերլուծություն

Aug 2026 · Սոցիալ-տնտեսական զարգացման արդի հիմնախնդիրները Հայաստանի Հանրապետությունում=The contemporary issues of socioeconomic development in the Republic of Armenia · 0 citations · 10 references

TL;DR

The research aims to uncover the depth of AI integration across different sectors and assess its potential impact on the country's economic development prospects, as well as identify the current baseline of AI application.

Abstract

Artificial Intelligence (AI) constitutes a pivotal driver of technological advancement in the 21st century, profoundly transforming economic structures, governance mechanisms, educational models, and the scientific research environment. Currently, AI has transitioned from a niche research domain into a general-purpose technology integrated across numerous sectors; however, its maturity and depth of application remain highly uneven across various industries, regions, and enterprise scales. The Republic of Armenia (RA), possessing a developed IT sector and relatively robust human capital in technological disciplines, is currently in the initial stages of systemic AI implementation. While isolated initiatives, educational programs, and investment projects exist, the overall adoption rate remains limited and has yet to achieve large-scale, coordinated integration. This gap underscores the relevance of the current research. Concurrently, the evolution of AI generates new opportunities for enhancing productivity, innovation, and competitiveness, while simultaneously posing challenges related to labor market disruptions, the necessity for skills transformation, and the exacerbation of digital inequalities. The primary task of this study is to identify the current baseline of AI application. The overarching objective is to analyze and evaluate the present degree of AI penetration in Armenia within the context of global technological trends. Furthermore, the research aims to uncover the depth of AI integration across different sectors and assess its potential impact on the country's economic development prospects. The methodology employed for data collection and analysis incorporates systemic, descriptive, and comparative approaches, alongside economic-statistical clustering techniques. The empirical foundation of the study is supported by data from World Bank reports and International Monetary Fund (IMF) publications.

View source

Similar papers

Aug 2026

Աշխատաշուկայի հնարավորությունների և տեխնոլոգիական վերափոխումների փոխկապակցվածությունը

The integration of digital technologies across various economic sectors, the development of artificial intelligence systems, and the widespread use of data analytics are transforming not only work organization methods but also the structure of labor demand. Consequently, new job opportunities are emerging, while the co...

Լիլիկ Բեգլարյան · 0 citations
Conference Open access Aug 2026

Artificial intelligence in business: challenges and prospects for development

This study aims to identify the key challenges and development prospects of AI implementation to enhance business efficiency and ensure sustainable development, providing strategic guidance for organizations to balance technological innovation with responsibility and risk management.

Giedrius Čyras, Vita Marytė Janušauskienė · 1 citation
Review Open access Aug 2026

Artificial Intelligence Capability: A Systematic Review of Research Framework and Application Scenarios

A comprehensive research framework for AI capabilities is integrated and constructs, clarifies the field’s consensus and research gaps, and not only enriches the theoretical research landscape in the field of AI capabilities but also provides practical guidance for organizations of various types to systematically build...

Hao Jiang · 0 citations
Review Open access Sep 2026

MODERN ARTIFICIAL INTELLIGENCE PLATFORMS IN BUSINESS

The article is devoted to the study of modern artificial intelligence platforms for business, with the aim of developing a structured classification of available tools and identifying the key factors that determine the success or failure of their implementation in corporate environments. The relevance of this topic ste...

D. Sosnin · 0 citations
Aug 2026

Արհեստական բանականություն. Նոր իրականություն, նոր հնարավորություններ

Artificial intelligence (AI) fundamentally alters how humans interact with technology, moving from static systems to algorithms capable of autonomous reasoning and problem-solving. This article examines the practical realities of AI implementation in modern society, focusing specifically on the evolution and applicatio...

Ռիմմա Ասոյան, Լիանա Ազատյան · 0 citations
Open access Aug 2026

高校 AI 通识课程智慧教学改革的困境突破与实践路径

Artificial intelligence (AI) is reshaping social production and lifestyles, making AI literacy an essential core competency for college students in the new era. Currently, AI general education is rapidly spreading in domestic universities, but traditional models suffer from pain points such as insufficient content adap...

黎生 聂 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.