The relevance of the study stems from the fact that the impact of AI on industrial development is usually analysed

The gap

Evidence profile

Sourced from the recommendations and future-work section and abstract of the source papers, classified as general, drawn from work published between 2023 and 2026, spanning 3 journals. Those papers have been cited 354 times in total.

Supporting evidence — 3 representative gaps

• The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations (2023) · Informing Science The International Journal of an Emerging Transdiscipline · cited 354× · doi

  for Researchers AI is a complex and multifaceted field that encompasses a wide range of disci- plines, including computer science, mathematics, engineering, and behavioural and social sciences. Researchers should take a transdisciplinary approach to ena- ble the integration of knowledge and perspectives from different fields that are essential to understanding the full range of implications and applications of AI. Impact on Society As AI continues to revolutionize various sectors and industries, it is important to

  generalrecommendations
  Keywords: researchers range complex multifaceted field encompasses wide disci plines including computer science mathematics engineering behavioural
• Der Digitale Kapitalismus auf dem Weg in den Globalen Süden (2026) · PERIPHERIE – Politik • Ökonomie • Kultur · doi

  Further research is needed to develop and implement the strategy for harnessing AI for development in Africa. Research is needed to address the risks associated with AI, including bias, discrimination, and job displacement. Further research is needed to explore the potential of AI for Africa's socio-economic transformation and cultural renaissance.

  generalfuture-work sectionevidence 5/5
  Keywords: further research needed develop implement strategy harnessing development
• Theoretical foundations of the closing impact of artificial intelligence on regional industrial systems (2026) · Economy of Industry · doi

  The relevance of the study stems from the fact that the impact of AI on industrial development is usually analysed either at the level of individual enterprises or through its macroeconomic consequences, whereas the mechanisms through which enterprise-level technological changes are transformed into systemic effects remain insufficiently explored.

  generalabstractevidence 5/5
  Keywords: level relevance stems fact impact industrial development usually analysed either individual enterprises macroeconomic consequences mechanisms

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