Ai-driven workload optimization to enhance economic sustainability:
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Date
2025
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Publisher
UMT Lahore
Abstract
The application of Artificial Intelligence-Driven Workload Optimization is reshaping
the management of operations in organizations, but still little is understood about its overall
effects on sustainable performance. The current study would test the direct effects of Artificial
Intelligence-Driven Workload Optimization on Economic Sustainability and test the mediating
effects of Employee Well-Being and Employee Productivity. The study seeks to furnish an
integrative theory of interaction between the implementation of artificial intelligence and
humanistic-oriented variables that would foster a sustainable business result.
A sample size of 380 structured questionnaires was sent to the various professionals in
the HR, operations, sales and marketing department of various public and private organizations
but 265 were analyzed. The findings of the study confirmed that Artificial Intelligence-Driven
Workload Optimization produces a substantial positive impact on Economic Sustainability
using Partial Least Squares Structural Equation Modeling (PLS-SEM). Also, Employee Well
Being and Employee Productivity were identified to partially mediate it, and the same
underlines the fact that AI technologies provide the best outcomes when they may be aligned
with employee’s well-being and performance-enhancing strategies.
The results contribute to the theoretical knowledge of AI incorporation in the concepts
of sustainable businesses as it shows that not only a technological adoption has an impact on
Economic Sustainability, but also organizational investment in human capital. This paper
demonstrates the importance of synchronizing AI-based plans and employee-oriented
programs, which supports the notion that successful results should be based on strikes a balance
between innovation and employee well-being. The findings provide practical implications to
business professionals and policymakers who want to derive the positive dynamics of applying
AI and develop a productive and resilient organizational culture.