Artificial Intelligence (AI): Labour and Productivity Transformation in the Academic Environment

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Abstract

Artificial intelligence (AI), whose origins date back to 1956, has become a cornerstone of the contemporary world. The noticeable growth of information resources of critical importance has generated the need for technologies capable of their instantaneous and precise analysis. Although research and development works in this field have been ongoing for over six decades, the breakthrough in its widespread adoption came in 2022. That is when ChatGPT was released, which enabled a broad audience to experience the capabilities of that emerging tool. Today, AI – based on neural networks and capable of continuous, 24/7 operation – opens an entirely new chapter in the functioning of societies. A key factor in the effective use of AI is mastering the ability to write precise prompts. Viewing AI as an additional worker allows for the identification of new areas of opportunity: one of them is increasing efficiency and optimising processes. Concerns that AI may replace humans appear to be diminishing in light of the benefits it offers. Supporting professional workflows, enhancing productivity, and creating space for creative activities are key objectives in the implementation of modern technologies. The labour market prospects for individuals with AI-related competencies appear highly promising, offering them significant competitive advantages. It is essential to establish principles for the ethical and secure use of these new tools to ensure that information is processed responsibly. This article is based on the author’s presentation at the 41st Problem Conference of Medical Libraries, entitled Artificial Intelligence and Medical Libraries: Are We at the Edge of Transformation? (Szczecin, 16–18 September 2024).  

DOI:

https://doi.org/10.34738/mlf.0101

Keywords:

artificial intelligence (AI), academic community, productivity, transformation of work, prompting, communication, artificial neural networks, language models, process optimisation, automation, AI content detection

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Published

23.06.2026

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Articles

How to Cite

1.
Garczyński M. Artificial Intelligence (AI): Labour and Productivity Transformation in the Academic Environment. MLF. 2026 Jun. 23;:1-13.