Technology & Society

Structural Impact of Artificial Intelligence: Reshaping the Labor Market and Paths to Sustainable Growth in Resource-Constrained Economies

Analyze the deep impact of the artificial intelligence wave on the structure of the labor market, wage distribution, and economic growth models, especially on the structural adaptation and policy challenges for middle-to-low resource constrained economies like the Republic of Montenegro.

The Structural Impact of Artificial Intelligence: Reshaping Labor Markets and Paths to Sustainable Growth in Resource-Constrained Economies

In the grand narrative of human civilization driven by the accumulation of knowledge, the new wave of technological revolution—especially the explosion of generative Artificial Intelligence (AI)—is reshaping economic and social structures at an unprecedented pace. AI is no longer a distant science fiction fantasy but a core force profoundly influencing the organization of labor, skill demands, and even social stratification. However, the complexity of this transformation lies in the fact that it is not a simple increase in efficiency, but a systemic game concerning structural adaptation, equitable distribution, and long-term sustainability.

Globally, the potential of AI for the economy is immense, but its impact on the labor market is a double-edged sword. On one hand, AI is expected to drive productivity leaps by automating repetitive tasks, achieving exponential economic growth. On the other hand, this automation process poses a direct disruption risk to specific skills and traditional jobs, potentially exacerbating structural unemployment and income inequality caused by skill mismatch.

The focus of research should shift from "what AI can bring" to "how we can manage its structural consequences." Against the backdrop of tightening resource and environmental constraints, the introduction of AI faces even more severe tests, particularly for middle-to-low-resource economies like the Republic of Montenegro. This study attempts to uncover the potential link between AI intensity and labor market outcomes by integrating quantitative labor market analysis with a systematic review of international literature, exploring how technological change can amplify or alleviate social inequality.

The practice in the Republic of Montenegro provides a highly insightful testing ground. In this region, economic development must seek paths to growth under the constraints of limited natural resources and environmental carrying capacity. In this context, how to effectively integrate AI technology into the existing economic structure to promote sustainable economic growth and an inclusive labor market has become a key policy issue.

The analysis indicates that the potential impact of AI on employment is not just about the "replacement" of jobs, but about a fundamental shift in the "nature of work." This demands that policymakers do not merely focus on macro employment figures but must delve into the micro level to design social contracts that promote skills retraining and the adaptability of social security systems.

From the perspective of long-term structural change, the competitive logic in the AI era will no longer be a simple competition for factors of production, but will revolve around "AI-empowered innovation capabilities" and "social adaptability." For emerging economies like Montenegro, this means the policy focus must shift from mere economic expansion to building resilient social infrastructure, ensuring that the benefits of technology are shared more broadly rather than being concentrated among a few highly skilled groups.

Therefore, in navigating the economic transformation wave brought by AI, the international community and policymakers must adopt a cautious, structural perspective: embracing technological dividends while proactively designing governance frameworks to ensure that the path of economic transition is not only technology-driven but also a foundation of social equity and long-term sustainability.Therefore, in navigating the economic transformation wave brought by AI, the international community and policymakers must adopt a cautious, structural perspective: not only embrace the technological dividends but also proactively design governance frameworks to ensure that the path of economic transformation is not only technology-driven but also a foundation for social equity and long-term sustainability.

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Source links

  1. https://www.sciencedirect.com/science/article/pii/S2590291126012702Primary

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