The use of artificial intelligence (AI) is related to the dynamic development of digital skills. This article focuses on the impact of AI on the work of non-profit organizations that aim to help those around them. Based on 10 semi-structured interviews, it is presented here how it is possible to work with AI and in which areas it can be used—in social marketing, project management, routine bureaucracy. At the same time, workers and volunteers need to be educated in critical and logical thinking more than ever before. These days, AI is becoming more and more present in almost all the activities, bringing several benefits to those making use of it. On the one hand, by using AI in the day-to-day activities, the entities are able to substantially decrease their costs and have the advantage of being able to have, in most cases, a better and faster job done. On the other hand, those individuals that are more creative and more innovative in their line of work should not feel threatened by those situations in which organizations decide to use more AI technologies rather than human beings for the routine activities, since they will get the opportunity to perform tasks that truly require their intellectual capital and decision making abilities.

Adamides, E. D. (2023). Cooperation in the Conceptualization of Autonomous Strategic Initiatives: The Role of Managers’ Intellectual and Social Capital. Knowledge, 3(2), 245–261. https://doi.org/10.3390/knowledge3020017

Al-Dalain, R., & Alnsour, M. (2022). Measuring the Sustainability Performance of the Public Transport System. International Journal of Project Management and Productivity Assessment, 10(1), 1–13. https://doi.org/10.4018/ijpmpa.312566

Ali, M. A., Hussin, N., Flayyih, H. H., et al. (2023). A Multidimensional View of Intellectual Capital and Dynamic Innovative Performance. Journal of Risk and Financial Management, 16(3), 139. https://doi.org/10.3390/jrfm16030139

Alzoubi, M. M., & Snider, D. H. (2022). Application of Factors and Moderation Analysis on Enterprise Resource Planning System Usage in the Middle East. International Journal of Project Management and Productivity Assessment, 10(1), 1–16. https://doi.org/10.4018/ijpmpa.306974

Artificial Intelligence for Societal Development and Global Well-Being. (2022). In A. Saxena, A. K. Bhatt, & R. Kumar (editors), Advances in Computational Intelligence and Robotics. IGI Global. https://doi.org/10.4018/978-1-6684-2443-8

Ashraf, S., Sadiq, M., Ferreira, P., et al. (2023). Intellectual Capital and a Firm’s Sustainable Performance and Growth before and during the COVID-19 Crisis: A Comparative Analysis of Small and Large European Hospitality Firms. Sustainability, 15(12), 9743. https://doi.org/10.3390/su15129743

Aslam, M. S., & Nisar, S. (2023). Artificial Intelligence Applications Using ChatGPT in Education. Advances in Educational Technologies and Instructional Design. https://doi.org/10.4018/978-1-6684-9300-7

Badru, F. A. (2019). The Nexus of Tamed Bureaucracy and Better Health Outcomes for Consumers in Nigeria’s Health Institutions. Human Rights, Public Values, and Leadership in Healthcare Policy, 48–64. https://doi.org/10.4018/978-1-5225-6133-0.ch003

Baporikar, N. (2022). Performance Management System Implementation Challenges in State-Owned Enterprises. International Journal of Project Management and Productivity Assessment, 10(1), 1–17. https://doi.org/10.4018/ijpmpa.310017

Bhatia, M., Choudhury, T., & Dewangan, B. K. (Eds.). (2023). Exploring Future Opportunities of Brain-Inspired Artificial Intelligence. Advances in Computational Intelligence and Robotics. https://doi.org/10.4018/978-1-6684-6980-4

Bowen, G., & Ozuem, W. (2015). Computer-Mediated Marketing Strategies. Advances in Marketing, Customer Relationship Management, and E-Services. https://doi.org/10.4018/978-1-4666-6595-8

Bugarčić, M., & Slavković, M. (2023). Does Digitalization Supports Project Management Effectiveness? New Insight on the Role of Intellectual Capital. Buildings, 13(8), 1898. https://doi.org/10.3390/buildings13081898

Chiweshe, N., & Ellis, D. (2019). Strategic Marketing for Social Enterprises in Developing Nations. Advances in Business Strategy and Competitive Advantage. https://doi.org/10.4018/978-1-5225-7859-8

Chowdhary CL (2023). Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. Advances in Computational Intelligence and Robotics. IGI Global. https://doi.org/10.4018/978-1-6684-5673-6

Chun Tie, Y., Birks, M., & Francis, K. (2019). Grounded theory research: A design framework for novice researchers. SAGE Open Medicine, 7, 205031211882292. https://doi.org/10.1177/2050312118822927

Council of Europe (2022). Artificial Intelligence and Education. A Critical View Through the Lens of Human Rights, Democracy and The Rule of Law. Available online: https://rm.coe.int/artificial-intelligence-and-education-a-critical-view-through-the-lens/1680a886bd. (accessed on 10 December 2023).

Csillag, S., Balázs, E., Kocsis, M., et al. (2017). Eight-Point Project. Handbook of Research on Managerial Solutions in Non-Profit Organizations, 483–498. https://doi.org/10.4018/978-1-5225-0731-4.ch022

Csillag, S., Balázs, E., Kocsis, M., et al. (n.d.). Eight-Point Project. Autism Spectrum Disorders, 266–280. https://doi.org/10.4018/978-1-5225-3827-1.ch014

Del Baldo, M., & Palazzi, F. (2023). High-Growth Benefit Corporations: Leveraging on Intangibles—Insights from Italy. Sustainability, 15(14), 10974. https://doi.org/10.3390/su151410974

European Commission (2021). Communication From the Commission to The European Parliament, The Council, The European Economic and Social Committee and The Committee of The Regions. Fostering a European approach to Artificial Intelligence. Brussels, 21.4.2021 COM (2021) 205 final. Available online: https://www.eumonitor.eu/9353000/1/j4nvke1fm2yd1u0_j9vvik7m1c3gyxp/vli6m0vxbxz9/v=s7z/f=/com(2021)205_en.pdf. (accessed on 10 December 2023).

European Parliament (2023). EU AI Act: First Regulation on Artificial Intelligence. Available online: https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence. (accessed on 10 December 2023).

Free World Cloud Generator (2024). Easy 3-Step process to building insightful word clouds. Available online: https://www.freewordcloudgenerator.com (accessed on 20 May 2024)

Hama, N. O., & Cavusoglu, B. (2023). The Sustainability of Intellectual Capital in Enhancing Organizational Innovation: A Case Study of Sulaimani Polytechnic University. Sustainability, 15(15), 12068. https://doi.org/10.3390/su151512068

Jaber, W. (Ed.). (2023). Artificial Intelligence in the Age of Nanotechnology. Advances in Computational Intelligence and Robotics. https://doi.org/10.4018/979-8-3693-0368-9

Krstić, B., Bonić, L., Rađenović, T., et al. (2023). Improving Profitability Measurement: Impact of Intellectual Capital Efficiency on Return on Total Employed Resources in Smart and Knowledge-Intensive Companies. Sustainability, 15(15), 12076. https://doi.org/10.3390/su151512076

Lasisi, T. T., Lazareva, E. I., Abramyan, G. A., et al. (2023). Intellectual Capital and Technology as Factors of Career Success: Role of Income Inequality. Economies, 11(2), 63. https://doi.org/10.3390/economies11020063

Lau, P. L., Nandy, M., & Chakraborty, S. (2023). Accelerating UN Sustainable Development Goals with AI-Driven Technologies: A Systematic Literature Review of Women’s Healthcare. Healthcare, 11(3), 401. https://doi.org/10.3390/healthcare11030401

Lincoln, Y.S., Guba, E.G. (1985). Naturalistic Inquiry. Newbury Park, CA: Sage Publications. https://doi.org/10.1016/0147-1767(85)90062-8

Maimone, F. (2020). Post-Bureaucratic Organizations as Complex Systems. Open Government, 2540–2567. https://doi.org/10.4018/978-1-5225-9860-2.ch115

Management Association, I. R. (2016). Project Management. https://doi.org/10.4018/978-1-5225-0196-1

Management Association, I. R. (2017). Artificial Intelligence. https://doi.org/10.4018/978-1-5225-1759-7

Management Association, I. R. (2018a). Risk and Contingency Management. https://doi.org/10.4018/978-1-5225-3932-2

Management Association, I. R. (2018b). Social Media Marketing. https://doi.org/10.4018/978-1-5225-5637-4

Miao F, Holmes W, Huang R, and Zhang H (2021). AI and education: guidance for policy-makers. United Nations Educational, Scientific and Cultural Organization. https://doi.org/10.54675/pcsp7350

Miles, M.B., Huberman, A.M., Saldaña, J. (2014). Qualitative Data Analysis. A Methods Sourcebook. 3nd ed. Sage: Thousand Oaks.

Naidoo V & Verma R (2022). Contemporary Challenges for Agile Project Management. Advances in Logistics, Operations, and Management Science. IGI Global. https://doi.org/10.4018/978-1-7998-7872-8

Organisation for Economic Co-Operation and Development (OECD). (2024a). Artificial intelligence and the changing demand for skills in the labour market. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/88684e36-en

Organisation for Economic Co-Operation and Development (OECD). (2024b). Artificial intelligence and wage inequality. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/bf98a45c-en

Organisation for Economic Co-Operation and Development (OECD). (2024c). Collective action for responsible AI in health. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/f2050177-en

Organisation for Economic Co-Operation and Development (OECD). (2023a). Common guideposts to promote interoperability in AI risk management. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/ba602d18-en

Organisation for Economic Co-Operation and Development (OECD). (2023b). Emerging trends in AI skill demand across 14 OECD countries. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/7c691b9a-en

Organisation for Economic Co-Operation and Development (OECD). (2024d). Explanatory memorandum on the updated OECD definition of an AI system. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/623da898-en

Organisation for Economic Co-Operation and Development (OECD). (2024e). Generative AI for anti-corruption and integrity in government. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/657a185a-en

Organisation for Economic Co-Operation and Development (OECD). (2023c). Generative artificial intelligence in finance. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/ac7149cc-en

Organisation for Economic Co-Operation and Development (OECD). (2023d). Initial policy considerations for generative artificial intelligence. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/fae2d1e6-en

Organisation for Economic Co-Operation and Development (OECD) (2023e). Stocktaking for the development of an AI incident definition. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/c323ac71-en

Organisation for Economic Co-Operation and Development (OECD). (2024f). The impact of Artificial Intelligence on productivity, distribution and growth. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/8d900037-en

Organisation for Economic Co-Operation and Development (OECD). (2023f). The state of implementation of the OECD AI Principles four years on. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/835641c9-en

Organisation for Economic Co-Operation and Development (OECD). (2023g). Using AI to support people with disability in the labour market. In OECD Artificial Intelligence Papers. https://doi.org/10.1787/008b32b7-en

Organisation for Economic Co-Operation and Development (OECD). (2023h). What technologies are at the core of AI? In OECD Artificial Intelligence Papers. https://doi.org/10.1787/32406765-en

Organisation for Economic Co-Operation and Development (OECD). (2024g). How can we ensure that AI benefits society as a whole? Available online: https://www.oecd.org/digital/artificial-intelligence/?code=33187 (accessed on 1 May 2024).

Ozuem, W., & Bowen, G. (Eds.). (2016). Competitive Social Media Marketing Strategies. Advances in Marketing, Customer Relationship Management, and E-Services. https://doi.org/10.4018/978-1-4666-9776-8

Pars, E., VanDerNagel, J. E. L., Dijkstra, B. A. G., et al. (2023). Using the Recovery Capital Model to Explore Barriers to and Facilitators of Recovery in Individuals with Substance Use Disorder, Psychiatric Comorbidity and Mild-to-Borderline Intellectual Disability: A Case Series. Journal of Clinical Medicine, 12(18), 5914. https://doi.org/10.3390/jcm12185914

Pinterič, U. (2017). ICT as the Path Beyond Bureaucracy? International Journal of Public Administration in the Digital Age, 4(2), 33–42. https://doi.org/10.4018/ijpada.2017040103

Pinterič, U. (2020). ICT as the Path Beyond Bureaucracy? Open Government, 49–59. https://doi.org/10.4018/978-1-5225-9860-2.ch004

Popescu, C. R. Gh. (2020). Sustainability Assessment: Does the OECD/G20 Inclusive Framework for BEPS (Base Erosion and Profit Shifting Project) Put an End to Disputes Over the Recognition and Measurement of Intellectual Capital? Sustainability, 12(23), 10004. https://doi.org/10.3390/su122310004

Popescu, C. R. Gh. (2021). Sustainable and Responsible Entrepreneurship for Value-Based Cultures, Economies, and Societies. Advances in Business Strategy and Competitive Advantage, 33–58. https://doi.org/10.4018/978-1-7998-7951-0.ch002

Popescu, C. R. Gh. (2022). Artificial Intelligence and Sustainability in a Game-Changing Post-COVID-19 Era. Practice, Progress, and Proficiency in Sustainability, 1–20. https://doi.org/10.4018/978-1-6684-7499-0.ch001

Popescu, C. R. Gh. (2023). Artificial Intelligence and Sustainability in a Game-Changing Post-COVID-19 Era: Key Drivers for Economic Development, Social Development, and Environmental Protection. In C. Popescu (Ed.), Positive and Constructive Contributions for Sustainable Development Goals (pp. 1-20). IGI Global. doi:10.4018/978-1-6684-7499-0.ch001.

Ramanathan, J., & Ramnath, R. (2009). Strategic Improvement of Non-Routine Services. Co-Engineering Applications and Adaptive Business Technologies in Practice, 221–245. https://doi.org/10.4018/978-1-60566-276-3.ch005

Santos, M. C., Nunes, S., Dominguinhos, P., et al. (2021). Financial Capacity During a Pandemic Crisis. Advances in Finance, Accounting, and Economics, 59–76. https://doi.org/10.4018/978-1-7998-6643-5.ch004

Šebestová, J. D., & Popescu, C. R. Gh. (2022). Factors Influencing Investments into Human Resources to Support Company Performance. Journal of Risk and Financial Management, 15(1), 19. https://doi.org/10.3390/jrfm15010019

Shenton, A. K. (2004). Strategies for ensuring trustworthiness in qualitative research projects. Education for Information, 22(2), 63–75. https://doi.org/10.3233/efi-2004-22201

Skhvediani, A., Koklina, A., Kudryavtseva, T., et al. (2023). The Impact of Intellectual Capital on the Firm Performance of Russian Manufacturing Companies. Risks, 11(4), 76. https://doi.org/10.3390/risks11040076

Srivastava, G. (2023). Analyzing Artificial Intelligence from Social Science Perspectives. Data-Driven Approaches for Effective Managerial Decision Making, 143–154. https://doi.org/10.4018/978-1-6684-7568-3.ch007

Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349–357. https://doi.org/10.1093/intqhc/mzm042

United Nations Children's Fund (UNICEF). (2021). Report. Policy Guidance on AI For Children. Version 2.0. Recommendations For Building AI Policies and Systems That Uphold Child Rights. Available online: https://www.unicef.org/globalinsight/reports/policy-guidance-ai-children. (accessed on 10 December 2023).

United Nations Educational, Scientific and Cultural Organization & UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training UN. (2021). Understanding The Impact of Artificial Intelligence on Skills Development. ISBN: 978-92-3-100446-9. Germany. Available online: https://unevoc.unesco.org/pub/understanding_the_impact_of_ai_on_skills_development.pdf. (accessed on 10 December 2023).

Using AI in the workplace. (2024). In OECD Artificial Intelligence Papers. Organisation for Economic Co-Operation and Development (OECD). https://doi.org/10.1787/73d417f9-en

White House. (2022). The Impact of Artificial Intelligence on The Future of Workforces in The European Union and The United States of America. An economic study prepared in response to the US-EU Trade and Technology Council Inaugural Joint Statement. Available online: https://www.whitehouse.gov/wp-content/uploads/2022/12/TTC-EC-CEA-AI-Report-12052022-1.pdf. (accessed on 10 December 2023).

World Economic Forum. (2023). Artificial Intelligence. The European Union's Artificial Intelligence Act, explained. Available online: https://www.weforum.org/agenda/2023/06/european-union-ai-act-explained/. (accessed on 10 December 2023).