Description
The rapid advancement of artificial intelligence (AI) and emerging technologies is fundamentally reshaping the global workforce and organizational structures. This paper examines how AI, machine learning, robotics, and other breakthrough technologies are transforming traditional jobs while creating new professional opportunities and challenges. Through analysis of current trends and future projections, we explore how these technologies are automating routine tasks, augmenting human capabilities, and fostering new forms of human-machine collaboration. The research highlights both the potential benefits - including increased productivity, innovation, and workplace safety - as well as critical challenges such as workforce displacement, skills gaps, and the need for continuous learning and adaptation. Special attention is given to the evolving nature of work itself, including the rise of remote work, gig economy platforms, and AI-powered workflow systems. The paper concludes by proposing strategic recommendations for policymakers, organizations, and individuals to navigate this technological transition effectively, emphasizing the importance of proactive reskilling initiatives, ethical AI deployment, and inclusive economic growth policies. Understanding these transformations is crucial for preparing the workforce for an increasingly automated and digitally interconnected future.Keywords: artificial intelligence (AI), Technology, workforce transformation, automation, digital skills, human-machine collaboration, future of work, technological disruption, reskilling, machine learning, emerging technologies, digital transformation, labor market dynamics, workplace automation, gig economy
| Period | 28 Nov 2024 |
|---|---|
| Held at | Universidad Anahuac Puebla , Mexico |
| Degree of Recognition | International |