The transformative potential of artificial intelligence: beyond automation

Artificial intelligence (AI) is no longer a futuristic concept but a tangible reality that is transforming multiple sectors of society. From the automation of physical tasks to data-driven decision-making, AI is redefining the boundaries of what is possible. However, the advent of Generative AI sets a new standard, especially in the field of knowledge work.

Impact on Knowledge Work

Unlike previous waves of automation technology that primarily affected physical work activities, Generative AI has the potential to significantly impact knowledge work. According to a McKinsey report, activities involving decision-making and collaboration, especially in fields such as education, law, technology, and the arts, could see some of their tasks automated in a shorter time than expected. This is due to the ability of Generative AI to predict patterns in natural language and use it dynamically.

Some examples


Advances in technical capabilities could have a significant impact on the activities carried out by educators. From personalising learning to automating assessment, AI has the potential to revolutionise the education system.

Creative professionals and others

In the legal field, AI could automate tasks such as contract review and legal research. In technology, it could speed up software development and improve cyber security. Creative professionals, meanwhile, could benefit from tools that automate parts of the creative process, allowing them to focus on innovation.


According to another McKinsey report, Generative AI could offset the problem of an ageing population. AI could play a crucial role in health, from personalised healthcare to efficient management of healthcare resources.

 AI is not just a tool for task automation; it is a transformative technology that has the potential to change the way we live and work. With the advent of Generative AI, we are on the brink of a new frontier in productivity and innovation, especially in the realm of knowledge work. Adaptability and the early adoption of these emerging technologies will be key to navigating through this new landscape.

Juan Manuel Corchado

Full Professor in Computer Science and Artificial Intelligence, Department of Computer Science and Automation, University of Salamanca, Spain.


Contents: – e4YOU – Másteres – CyberCamp

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