Abstract:
The apparel manufacturing industry is undergoing a significant transformation due to the integration
of digitalization, artificial intelligence (AI), and automation. These technological advances present both
challenges and opportunities, particularly in workforce transformation and adoption. Despite the increasing role
of digital technologies, there remains a gap in understanding the necessary workforce qualifications, digital
competencies, and educational frameworks required to facilitate this transition. The apparel sector is currently
behind in evaluating workers' digital abilities and identifying the competences required to succeed in an AI-driven
workplace, according to an assessment of the literature. The absence of a thorough qualifying framework in
existing research makes it challenging to assess the readiness of the labor force today. The conversation also
demonstrates how traditional educational and training programs fall short in providing workers with the digital
skills required for long-term employment in a field that is always changing. The necessity for updated and
modernized training programs is highlighted by the possibility that the current educational framework cannot keep
up with the quick changes in technology. The results highlight the need for a proactive strategy in workforce
transformation, which includes creating standardized methods for skill assessments and incorporating industry relevant digital capabilities into training programs. According to the study's findings, policy makers, business
executives, and academic institutions should work together to put workforce adaptation methods into action. The
apparel industry can overcome obstacles, capture new opportunities, and ensure a workforce that is sustainable
and prepared for the future by adopting digital transformation in a methodical way.
