Local studies have proven to play an important role in addressing regional discrepancies, being capable of identifying disadvantaged areas and proposing measures in order to reduce economic and social disparities [7; 8]. They also support the communities' capacity development, thus making them able to manage their own resources [9] and respond to challenges, like climate change [10], migration, or economic crises [11], therefore promoting equitable and sustainable development. Thus, regional or local studies are an essential tool for implementing effective public policies and preserving cultural heritage while promoting sustainable and harmonious development at the community level. Artificial intelligence (AI) is a set of technologies that replicates human cognitive processes, such as learning, thinking, and self-recognition. Over the past few years, there has been a growing interest in the potential uses of AI in both private and public sectors [12]. The main argument for the application of AI technologies in these kinds of organizations is the fact that AI can enhance or even replace human actions and decisions [13]. This can be considered a benefit, providing the possibility for human resources to be engaged in more important and less repetitive tasks, thus contributing to improved efficiency, reducing errors, and lowering costs [14]. Although the potential of AI has brought a strong wave of excitement, understanding the stage of AI adoption, the challenges faced in implementation, and the expectations of organizations remains limited [15]. This problem is more common in the public sector, where the lack of competitive pressures that characterize private companies usually slows down the implementations [16]. AI has the capacity to transform industries and markets by managing unexpected changes [17]. Over the years, AI has been applied across various sectors, significantly influencing their development. Notable domains include transportation [18], healthcare [19], energy [20], agriculture [21], and even media [22]. AI has become an essential technique because it fundamentally transforms the way we live, work, and interact with technology. AI is based on computation, reasoning, action, and perception, using artificial neurons and scientific theorems [23]. According to [PERSON] and [PERSON] [24], AI is a part of computer science that focuses on systems, being characterized by the association of intelligence with human behavior (language, understanding, solving certain problems, etc.) [25; 26]. By automating repetitive tasks and analyzing vast volumes of data, AI increases efficiency in a variety of industries, facilitates innovation by improving the process of scientific discovery and technological development, and personalizes user experiences by providing solutions tailored to individual needs and preferences, thus contributing to a significant increase in the quality of life. To help the user and to be present in different analytics, AI is composed of several branches: genetic algorithms, artificial neural networks, expert systems, problem-solving and planning, logic programming, robotics, planned learning, natural language processing, and even various hybrid systems, which are formed by combinations of the previously mentioned branches [26; 27]. Given its use in many fields, AI has also been proven to be invaluable for local or regional studies, helping researchers to carry out various meaningful analyses. [PERSON]. [28] analyzed the influence that the population's mobility has over the differences in the regional economy in China, by generating an economic measurement algorithm with the help of AI and the Internet of Things (IoT), the purpose of which was to reduce the processing delay time and the error rate in processing economic information.