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BEYOND DEGREES: REIMAGINING EDUCATION AND SKILL DEVELOPMENT
FOR AN AI-DRIVEN ECONOMY

Rachna Davi* 1

1 Noida International University, Greater Noida, India.
(*E-mail: Rachnasinghnayak@gmail.com)

ABSTRACT
The world economy is evolving due to the high pace of the development of Artificial
Intelligence (AI), automation, and digital technologies that are transforming the nature of
work. The old education systems, where the primary focus is on the degree achievement
and theoretical knowledge, are no longer sufficient to train individuals to meet the
demands of the AI-driven economy in the changed context. There has been an
augmentation of the need to migrate to traditional academic systems to education
systems that emphasize practical expertise, digital skills, innovation, and life -long
learning.
The article discusses the reasons why the systems of education and skill
development should be reconsidered to optimize them to the requirements of the digital
and AI-driven labour market. It speaks to the need to introduce digital literacy, data skills,
critical thinking, creativity, and interdisciplinary learning into the learning program. The
paper also examines how institutes of higher learning, industry relations and policy
modification can yield a workforce that is future ready and capable of changing with
technological turmoil.
The article suggests that the solution to making sure that people are employable,
economically competitive, and inclusive in the AI-driven era is a change in the degree-
based model to the skills-based and flexible learning ecosystem. By examining the new
trends in education and workforce development, the study proposes strategic ways of
going about the redesign of the education systems to improve the development of human
capital in the digital economy.
Keywords: Artificial intelligence; digital skills; higher education; skill development;
future of work; and digital economy.

1. Introduction
The world economy is undergoing a quality change due to the fast development of
artificial intelligence (AI), automation, and digital technologies. The last ten years have
witnessed technological advancements in machine learning, data analytics, robotics, and
cloud computing, which have enhanced the adoption of intelligent systems in different
industries, such as manufacturing, healthcare, finance, education, and services. These
technologies are transforming the production processes, decision making processes, and
the structuring of the organisation and are forming what is increasingly called an AI-
driven economy. Although the topic of digital transformation and labour market
development has been widely discussed, the incorporation of education system change
into the requirements of the labour market based on AI has not yet been extensively
connected in a single theoretical framework. Available literature usually looks at
technological change, skills mismatch, or education reform separately. This gap is
addressed in the paper, which connects human capital theory, skills-based models of

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