Effectively overcoming the challenges facing Georgia requires a qualitative improvement in the country’s integrated resource management system, which is impossible without a substantial increase in the efficiency of integrated resources. This is closely linked to the utilization of artificial intelligence (AI) capabilities. AI enables rapid analysis of large volumes of data, identification of trends, forecasting, optimization of resources, reduction of risks, and efficient process management, while increasing system transparency and effectiveness. Its applied value is particularly evident in the development of innovative ecosystems. It accelerates research and development processes, creates new products and services, and enhances economic competitiveness. At the same time, AI represents a significant factor in global technological competition and determines countries’ positions within the international system.
Globally, approximately 16–17% of the population uses generative AI; in developed countries, usage reaches 24.7%, while in developing countries it is only 14.1%. In Georgia, this figure is approximately 18.2%.
Against this background, the world is transitioning to the so-called stage of “innovative pragmatism,” where the essence of innovation is defined not only by novelty but also by practical effectiveness and the implementation of optimal management models. One practical manifestation of this approach is the prioritization of production and logistics flows over purely political interests.
A particularly significant transformation is taking place in the field of education, where artificial intelligence has fundamentally reshaped the system. Its educational and applied value is determined by its ability to generate, process, disseminate, and effectively utilize knowledge. AI has created a qualitatively new environment, making educational processes more personalized, accessible, and efficient, shifting from standardized teaching models to individualized and adaptive systems. Virtual classroom environments, adaptive learning platforms, intelligent tutoring systems, and assessment tools are significantly transforming both teaching practices and educational management.
Georgia’s economic system currently represents a hybrid model that combines elements of different historical and systemic formations. Although the foundations of market infrastructure have been established and the private sector plays a dominant role, significant components of the economic system remain distorted. A substantial portion of capital is not fully engaged in reproduction processes, labor resources are not fully adapted to new demands, and land resources are used inefficiently, which is particularly reflected in the low productivity of the agricultural sector.
Under these conditions, defining the country’s development strategy should be based on modern scientific knowledge and analytical approaches. Science provides the means to select optimal directions from alternative development paths and to adjust practices in a timely manner.
Alongside the rapid spread of AI, digital inequality is also increasing rapidly, while competence and proper usage lag behind overall adoption-usage remains largely superficial.
The large-scale use of artificial intelligence is also associated with certain challenges. It is essential to uphold ethical standards (such as algorithmic fairness, privacy protection, and data security) and to reduce technological inequality. Otherwise, the use of AI may deepen social inequality and generate new types of risks. One of the main risks relates to the issue of control-whether humans will be able to manage and regulate the systems they themselves have created. From a social perspective, AI may contribute to rising unemployment, increased inequality, and greater societal polarization.
The rapid and large-scale integration of artificial intelligence into virtually all areas of public life and the economy requires the adoption of legal and ethical regulatory frameworks to ensure privacy, fairness, and objectivity.
