Where Is Artificial Intelligence Used in Georgia — and Where Does Its Real Potential Remain Untapped?

Artificial intelligence is gradually spreading across Georgia’s economy, but each sector is progressing at a different pace. Some industries are actively using AI to automate specific tasks, while others remain on the sidelines, only beginning to experiment. A clear pattern is emerging: there are fields where AI is already well-integrated, and others where its potential impact is significant — but current adoption is minimal.

Today, AI is most widely used in marketing, finance, e-commerce, and digital services. These sectors already rely heavily on data-driven workflows, possess the necessary digital infrastructure, and are more open to technological innovation. Companies use AI to optimize ads, analyze customer behavior, assess financial risks, and plan sales strategies.

In contrast, sectors like healthcare, education, agriculture, logistics, and public administration show very low levels of AI integration, despite having some of the highest potential for impact. For example, AI could be used to improve diagnostics, create personalized learning paths for students, forecast crop yields, or automate citizen engagement in government services.

Why is this potential not being realized? There are several reasons. First, infrastructure limitations — especially outside urban centers — restrict the ability to process and manage large-scale data. Second, disorganized or siloed data systems make it difficult to implement AI efficiently. In healthcare, for example, patient records are scattered across incompatible platforms, limiting their usefulness for AI-driven analysis. Third, there is a lack of awareness and initiative — many decision-makers don’t yet understand how AI could reduce costs or improve performance in their sector.

Still, BTU’s research shows growing interest. Several early initiatives in healthcare, for instance, are already using AI for disease prediction or to analyze vocal biomarkers for mental health monitoring. These are small-scale pilots, but they could become important examples for larger sectoral shifts.

Today, AI in Georgia is concentrated mostly in areas where digital transformation was already underway. But the real long-term impact may lie in those sectors that have not yet embraced it — education, agriculture, healthcare, and public administration. These domains deserve greater attention — not only from policymakers but also from private-sector innovators.

The BTU’s full study — “AI Sector in Georgia: Current Trends and Future Potential” — is available at the following link.