About the Author:

Dr Alvin Chan is the Yvon Pfeifer Professor of Artificial Intelligence & Emerging

Technologies at Cambridge Corporate University (Switzerland), specialising in AI

and educational innovation. He has led teacher training in digital pedagogy and

generative AI, developed AI-powered educational applications, and pioneered the

integration of Multiple Intelligence frameworks. Dr Chan has held academic

leadership roles, serves on editorial boards, and is a peer reviewer for leading journals

in artificial intelligence. His work centers on scalable, inclusive AI solutions for

teaching and learning.

Abstract

Artificial Intelligence (AI) is rapidly transforming industries and societies worldwide,

with Asia emerging as a critical region for AI adoption and innovation. Despite

significant investments in AI infrastructure and research, a pronounced skills gap

persists, limiting the region’s ability to fully harness AI’s potential for economic

growth, social development, and global competitiveness. This paper introduces the

P.A.D.I. AI Framework, a practical, four-phase model designed to enhance AI fluency

among employees, students, and citizens across Asia. Developed through an extensive

literature review, secondary data analysis, and case studies from multiple Asian

countries, the framework addresses the unique socio-economic and cultural contexts

of Asia, bridging the gap between theoretical AI knowledge and practical application.

The paper discusses the implications of the framework for AI education and

workforce development in Asia, highlighting its potential to accelerate AI adoption,

foster innovation, and promote ethical AI use.

Keywords: AI fluency, AI skills gap, AI education, P.A.D.I. Framework, Asia,

workforce development