Η Τεχνητή Νοημοσύνη στην Επικοινωνία: Παραγωγικότητα, Εργασία και Δεξιότητες στη Μετάβαση προς την Industry 5.0


Δημοσιευμένα: Feb 24, 2026
Λέξεις-κλειδιά:
Artificial Intelligence Communication sector Productivity Professional skills Resilient skills
Βασιλική Μιχαηλίδου
Λάζαρος Βρύσης
Ελένη Σιαμτανίδου
Νικόλαος Βρύζας
Χαράλαμπος Δημούλας
Περίληψη

The present study examines the impact of Artificial Intelligence (AI) on productivity, employment, and professional skills in the communication sector, in the transition το Industry 5.0. AI adoption is rapidly expanding, enabling efficiency gains while raising concerns about job security, ethical responsibility, and the redefinition of human roles. Drawing on literature and a quantitative, descriptive survey of 45 communication professionals and academics (April 2025), the research explores patterns of AI use, perceived benefits and drawbacks, as well as emerging skill needs. Findings show that over 85% of respondents have used AI in their work, primarily for article writing, translation, content summarization, and idea generation. Furthermore, reported increase in productivity without additional staffing hours simultaneously emphasizing on the necessity of human oversight and ethical responsibility. Some skills that appear to remain resilient in this transition include ethical evaluation, manual labour, and interpersonal communication. The study reaches over 65% and instances of job losses have so far been rarely encountered. Participants expressed their preoccupations regarding long-term results of AI use, concludes that AI does not yet replace human input but transforms skill requirements, underscoring the need for adaptive strategies and supportive policies for sustainable professional transformation in the Industry 5.0 era.

Λεπτομέρειες άρθρου
  • Ενότητα
  • 4ο Ελληνόφωνο Επιστημονικό Συνέδριο Εργαστηρίων Επικοινωνίας
Αναφορές
Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work. In The economics of artificial intelligence: An agenda (pp. 197-236). University of Chicago Press.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280.
Huddleston, T. (2025). Bill Gates: Within 10 years, AI will replace many doctors and teachers—humans won't be needed 'for most things’. Retrieved from https://tinyl.io/CEg6.
Josten, C., & Lordan, G. (2023). How the most recent AI wave affects jobs. LSE Business Review. Retrieved from https://tinyl.co/3Fhc
McKinsey Global Institute. (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. Retrieved from https://tinyl.co/3Fhd
OECD (2021). Skills for the Digital Transition: Assessing and Anticipating Changing Skill Needs. OECD Publishing. Retrieved from https://www.oecd.org/employment/skills
Susskind, R., & Susskind, D. (2022). The future of the professions: How technology will transform the work of human experts. Oxford University Press.