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changing areas of IT, finance and hi-tech manufacturing. This disconnectivity may become
an obstacle to productivity and economic development, which explains the necessity of
new curricula and training schemes that may match education level with the labour
market needs.
The previous system of higher education is limited in the way it addresses such
issues. Theoretical knowledge, slow rate of curriculum modification, and a discipline-
centered orientation of the graduates are more likely to produce graduates who are not
prepared to face the reality of the real world. The conventional linear education path,
which is achieved at a young age is insufficient in a world whereby technology is
continuously changing the nature of work. Flexible and receptive educational systems
with their emphasis on practical capabilities and life-long learning are required.
The models that bridge this gap in the learning process are skills based and
competency- based learning models, which involve the reference to real-world
competencies. Experience learning, internships and project based learning and
collaborative problem-solving help learners develop technical and transferable skills.
Competency-based learning makes it possible to have a personal approach to learning
and this approach ensures that outcomes are mastered, as opposed to digital platforms
and professional certification that provide a flexible approach to skills acquisition. These
practices are proving to be the familiar successful approaches as far as bridging the
education and labour market demands.
A very dynamic digital economy needs lifelong learning. The new skills which are
acquired constantly serve to keep one employable, switch occupations and adapt to the
technological shocks. Learning can be flexible and continuous with online learning and
open educational resources coupled with professional training programs. Lifelong
learning also brings about sustainability in the economy and inclusion in the society as it
helps societies to take advantage of technological progress and mitigate the chances of
labour displacement. The AI-driven economy is premised on the necessity to advance the
culture of lifelong learning to reach sustainable economic growth and workforce capacity.
3. Research bbjectives
To investigate the impact of AI and automation on the requirements of the
workforce in terms of skills.
To explore the inadequacy of the traditional education models, which are degree
focused.
To identify the key competencies that are required in the AI-driven economy.
To test the implication of the relationship between institutions of higher learning
and industry relations in skill development.
To suggest how to transform education systems in line with the digital age.
4. Research methodology
The paper uses qualitative and conceptual research design to examine the
connection between education, skill development, and the requirements of an AI-driven
economy. To guarantee rigor, the research is conducted in the form of a systematic
literature review, which implies the presence of a set of selection criteria, including
relevance, recency (mostly post-2018 publications), and the credibility of sources (peer-
reviewed journals, international policy reports). Further, thematic coding methods are
used to classify the results into major dimensions namely, skills gap, digital literacy, and
lifelong learning. Secondary empirical information in the form of reports of organizations
like the World Economic Forum, OECD, as well as the World Bank are also incorporated

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