Artificial intelligence and the future of employment

Abstract

Diplomsko delo kritično preučuje prihodnost zaposlovanja v luči vse hitrejšega razvoja tehnologij umetne inteligence. Umetna inteligenca je danes eden najpomembnejših tehnoloških dosežkov. Sodobna tehnologija je vse bolj povezana z njo, rast pametne tehnologije pa poenostavlja številne vidike našega življenja. S hitrostjo njenega razvoja pa se pojavljajo pomisleki glede morebitnih motenj in preoblikovanj tradicionalnih zaposlitvenih okolij. Cilj naloge je raziskati posledice široke uveljavitve umetne inteligence na delovno silo, vključno s premiki v zahtevah po znanju, spretnostih in potrebi po stalnem učenju ter izpopolnjevanju. S pregledom obstoječe literature in empiričnim dodatkom to delo preučuje zgodovinski kontekst tehnološkega razvoja in njegovega učinka na prihodnost zaposlovanja. Naloga prikazuje tudi družbeno-gospodarske posledice umetne inteligence in izzive, ki jih prinaša, kot so polarizacija delovnih mest, dohodkovna neenakost in potreba po pobudah za preusposabljanje spretnosti zaposlenih.This thesis critically examines the future of employment in the light of the accelerating development of artificial intelligence technologies. Artificial intelligence is one of the most important technological developments today. Modern technology is increasingly connected to it, and the growth of smart technology is simplifying many aspects of our lives. However, the pace of its development raises concerns about the potential disruption and transformation of traditional employment environments. The aim of this thesis is to explore the implications of the widespread adoption of AI on the workforce, including shifts in knowledge and skills requirements and the need for continuous learning and upskilling. Through a review of existing literature and an empirical appendix, this thesis examines the historical context of technological developments and their impact on the future of employment. It also illustrates the socio-economic implications of AI and the challenges it poses, such as job polarisation, income inequality and the need for initiatives to reskill employees

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