Assessing the Economic Viability of Labor Displacement via Artificial Intelligence in Poland's Manufacturing Sector

The paper will critically examine whether the plan is financially viable when it comes to replacing human employees with artificial intelligence (AI) in the Polish manufacturing industry, and the consequences of the change both to the employees and as per the social policy. We are a net present value (NPV), internal rate of return (IRR), and payback of the canonical production units, i.e., vision based quality control, collaborative robot (cobot) attendant, automated packaging and predictive maintenance, which is being carried out using the keyed production inputs by prices of Poland wages, and governance structure and expectation formed the European regulation at the firm level. In addition to the labor market, we execute projected realistic effects of the adoption on the result of the displacement in terms of integration/data quality/maintenance/demographic attrition/demographic complementary job creating/successful accomplishment of tasks/and/or scale of production. The rate of diffusion, rate of robotization, exposure to the cost of energy, and the thickness of the ecosystem were compared against the performance of Czechia, Slovakia, and Hungary to position the Polish country in the context of Visegrad (V4). The findings have determined that the AI-powered automation can be cost-effective to most medium and large institutions whenever applied to over three-quarters of them, and that even the small quality care savings can be procured when the average payback will result in three to five years.