World Bank Highlights Key Difference in AI Adoption Between Armenia and Georgia
07.10.2026,
16:17
While companies in both Armenia and Georgia primarily use artificial intelligence to boost efficiency, differences are already emerging between the two countries regarding who actually employs AI in their work.
YEREVAN, October 7. /ARKA/. While companies in both Armenia and Georgia primarily use artificial intelligence to boost efficiency, differences are already emerging between the two countries regarding who actually employs AI in their work. This is according to the World Bank’s October report, "Europe & Central Asia Economic Update."
Companies in both nations utilize AI to accelerate software development, process documents, generate meeting summaries, handle recruitment, manage customer service, and streamline other established workflows.
"AI-native" companies are also developing new products, including solutions for automated financial statement analysis, voice and chat services, call center analytics, and virtual try-on applications. For traditional companies, however, such opportunities remain largely prospective.
The World Bank notes that the most significant difference between Armenia and Georgia lies in *who* performs the AI-driven work. In Armenia, the lowering of skill barriers through AI is viewed primarily as a future opportunity. In Georgia, some employees lacking traditional software development experience are already using AI to build websites, applications, and analytical workflows.
However, these practices remain largely concentrated within technology-oriented companies, whereas in other sectors, AI usage is often limited to management-level staff.
The World Bank observes a bimodal pattern of AI adoption in Armenia: a small group of companies is already integrating AI into core products, while others are still in the experimental or individual-use phase.
The World Bank also points out that a profession's high susceptibility to AI impact does not necessarily equate to worker readiness to use the technology. In Armenia and Georgia, workers in occupations highly susceptible to the impact of AI generally possess above-average digital skills. At the same time, the most significant digital skills gap is observed among workers in occupations vulnerable to traditional computerization.
Companies in both nations utilize AI to accelerate software development, process documents, generate meeting summaries, handle recruitment, manage customer service, and streamline other established workflows.
"AI-native" companies are also developing new products, including solutions for automated financial statement analysis, voice and chat services, call center analytics, and virtual try-on applications. For traditional companies, however, such opportunities remain largely prospective.
The World Bank notes that the most significant difference between Armenia and Georgia lies in *who* performs the AI-driven work. In Armenia, the lowering of skill barriers through AI is viewed primarily as a future opportunity. In Georgia, some employees lacking traditional software development experience are already using AI to build websites, applications, and analytical workflows.
However, these practices remain largely concentrated within technology-oriented companies, whereas in other sectors, AI usage is often limited to management-level staff.
The World Bank observes a bimodal pattern of AI adoption in Armenia: a small group of companies is already integrating AI into core products, while others are still in the experimental or individual-use phase.
The World Bank also points out that a profession's high susceptibility to AI impact does not necessarily equate to worker readiness to use the technology. In Armenia and Georgia, workers in occupations highly susceptible to the impact of AI generally possess above-average digital skills. At the same time, the most significant digital skills gap is observed among workers in occupations vulnerable to traditional computerization.