Leveraging the digital sustainable growth model (DSGM) to drive economic growth: Transforming innovation uncertainty into scalable technology

Abstract

The rapid advancement of artificial intelligence (AI), particularly with the emergence of Artificial General Intelligence (AGI), has intensified concerns about AI potentially overshadowing human autonomy and disrupting job markets. As AI systems become more capable of performing tasks traditionally handled by humans, there is an urgent need to rethink education to ensure future employability. To stay relevant in an increasingly automated world, the focus should shift toward developing uniquely human skills such as innovation and critical thinking. Educational systems must adapt by emphasizing these higher-order cognitive skills and integrating frameworks like the Digital Sustainable Growth Model (DSGM). By aligning Jungian Cognitive Functions with the innovation process, organizations can develop scalable technologies that not only drive innovation but also optimize talent management. This alignment ensures that human innovation and technological advancements progress together, creating systems that enhance innovative problem-solving and maximize team effectiveness.

Keywords

• Digital sustainable growth model (DSGM)
• Innovation process
• Jungian cognitive functions
• Shalaby's augmented cognitive innovation framework
• Innovation team dynamics
• Scalable innovation technology