Beyond singularity: Artificial Intelligence between myth, data, and strategies – some recommendations for Poland inspired by Italy’s success and the experiences of Ottante (Beta 80 Group)

Authors

  • Danuta Dobrzykowska

DOI:

https://doi.org/10.34767/SZP.2025.01.01

Keywords:

AI in healthcare, AI in the energy market, workforce and AI strategies, AI ethics frameworks, SME AI integration

Abstract

This  paper  discusses  the educational  and  professional  challenges  arising  from  the emergence of Artificial  Intelligence  (AI)  in contemporary society, with a specific focus on Poland. As a member of the Board of Directors of Ottante (Beta 80 Group SpA), the author reflects on the global rush towards AI development, likening it to exploring new continents, where opportunities and  risks  coexist  in  a  delicate  balance.  According  to renowned  experts  such  as  Demis  Hassabis  and  Sam  Altman,  Artificial  General  Intelligence  (AGI),  endowed  with  human-like  cognitive  capabilities,  is  imminent  and  will  have  significant impacts over the next decade. Its development may lead to Singu-larity, where machines surpass human intelligence, triggering an uncontrollable technological  evolution.  The education  system  will  play  a pivotal  role  in en-suring  these  technologies’  conscious  and  balanced  development.  This  paper  highlights the importance of collaboration between public and private sectors and the need  for  Polish  businesses  to overcome  barriers,  such  as  resistance  to  the  unknown,  and  leverage  the vast  potential  of Poland’s  human  capital  to boost competitiveness. Building on the Ekspertyza ws aktualizacji Polityki AI w Polsce document and the Polish Government’s priorities, the paper presents concrete solutions in the healthcare and energy sectors based on Ottante and Beta 80 Group experiences. The „Digital Health” project aims to integrate AI tools for early diagnosis, ambulance management, and caller communication in emergency response centers (112 and 118). The energy management solu-tions enable optimal placement selection, provide accurate energy production forecasts  tailored  to specific  needs,  and  create  optimal  trading  strategies  for  navigating the energy market.

References

Belcic, I., Stryker, C. (2025). AI agents in 2025: Expectations vs. reality. IBM, https://www.ibm.com/think/insights/ai-agents-2025-expectations-vs-reality (10.07.2025).

KPMG (2025). Monitor Transformacji Cyfrowej Biznesu. Edycja 2025. Czy jesteśmy gotowi na AI?

Microsoft Education (2025). AI in Education Report

Nielsen, J. (2023). AI Improves Employee Productivity by 66%, https://www.nngroup.com/articles/ai-tools-productivity-gains/ (20.07.2025).

Nowakowska, E., Pacuszka, B., Frańczak, R. (2025). Raport EY: jak polskie firmy wdrażają AI?. EY Polska https://www.ey.com/pl_pl/insights/raporty-analizy/jak-polskie-firmywdrazaja-ai-raport--ai-fy25-gc-fy25 (20.07.2025).

Orwell, G. (1984). Nineteen Eighty-Four. Publishing House Secker & Warburg.

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Published

2025-07-07

Issue

Section

Articles and dissertations

How to Cite

Beyond singularity: Artificial Intelligence between myth, data, and strategies – some recommendations for Poland inspired by Italy’s success and the experiences of Ottante (Beta 80 Group). (2025). School-Profession-Labour, 29, 17-34. https://doi.org/10.34767/SZP.2025.01.01