Author: Harsh Pandit
1. AI-Powered E-Learning for Lifelong Learners
This study explores how AI tools like ChatGPT and Google Gemini impact lifelong learning and workplace performance. It finds that ease of use, knowledge application, and self-efficacy in AI learning significantly contribute to better academic and job performance. The research with 300 participants highlights that user-friendly AI tools enhance learning outcomes and productivity. It suggests that educators and policymakers should focus on building confidence in AI usage while addressing adoption challenges. Future research should consider long-term AI adoption trends. (Hyun Yong Ahn, 2024.)
2. The Employment Impact of AI Technologies Among AI Innovators
Analyzing data from 3,500 AI-patenting companies between 2000-2016, this study reveals that AI-related innovations contribute to job creation, especially in younger firms and service sectors. Although the effect is small, increasing returns suggest that AI-focused firms see higher employment growth. The study challenges fears of large-scale job displacement due to AI and instead emphasizes the potential for innovation-driven employment. However, policymakers should ensure balanced development to mitigate sectoral disparities. (Giacomo Damioli et al, 2023.)
3. Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms
Generative AI has led to a 21% decline in job postings for automation-prone tasks like writing and coding within eight months of ChatGPT’s launch. Similarly, the introduction of AI-driven image generation tools resulted in a 17% decrease in demand for graphic designers. The study suggests that while AI reduces some job opportunities, remaining positions are becoming more complex and better paid. The findings indicate that freelancers must adapt by acquiring advanced skills to remain competitive in the AI-driven gig economy. (Ozge Demirci et al 2024.)
4. Public Anxieties About AI: Implications for Corporate Strategy
This research highlights widespread public anxiety regarding AI’s impact on job security, data privacy, and ethical governance. While focus groups initially downplayed concerns, anonymous surveys revealed deep-seated fears about AI’s role in employment and corporate control over AI decision-making. The findings suggest that companies and policymakers must address these anxieties to foster trust in AI technologies. Ethical AI governance, transparency in AI-driven decisions, and public engagement can help mitigate fears and encourage responsible AI adoption. (Michael Gerlich, 2024.)
5. Unveiling the Evolutionary Impact of Artificial Intelligence on the Workforce
AI is reshaping industries by increasing efficiency but also displacing certain jobs. Sectors like IT, finance, and healthcare experience significant AI-driven transformations, while industries reliant on human creativity and personal interactions remain less impacted. The study discusses the need for proactive workforce adaptation, including upskilling initiatives and ethical considerations in AI deployment. It emphasizes that while AI presents opportunities for job creation, policymakers must ensure inclusive economic strategies to address potential inequalities in employment distribution. (Muhammed MIAH, 2024)
6. AI in Public Governance: Ensuring Rights and Innovation
This study examines the role of AI in public administration, finding mixed public perceptions. While AI can improve efficiency in government services, concerns over transparency, ethical decision-making, and accountability remain significant. Public trust is crucial for AI governance, and policymakers should focus on ensuring fairness and human oversight in AI-driven decisions. The research suggests that clear AI policies and citizen engagement strategies are necessary to address potential governance challenges. (Tasriqul Islam et al, 2024.)
7. Technology and AI: Impact on Country’s Growth and Unemployment
Analyzing AI’s economic impact in G7 countries and India, this study finds that AI adoption boosts GDP growth and productivity, but its employment effects vary. Some developing economies face a paradox where rapid AI adoption does not always translate to proportional economic gains. The study emphasizes the importance of investment in infrastructure and education to ensure sustainable AI-driven growth. Policymakers should implement inclusive strategies to balance technological advancement with employment opportunities. (Brij Behari Dave, 2024)
8. AI and Jobs: Evidence from Online Vacancies
This study explores how AI adoption affects job postings in AI-exposed firms. While AI leads to fewer traditional job postings, no major impact on overall employment and wages has been observed. AI is primarily substituting human labor in specific tasks rather than eliminating entire jobs. The findings suggest that AI adoption may still be in its early stages, with potential long-term effects requiring further investigation. Future research should examine how AI-driven productivity gains influence labor market dynamics. (Daron Acemoglu et al, 2020.)
9. The Impact of HR Practices and Innovative Work Behavior on Job Performance in Physicians
While not directly focused on AI, this study finds that supervisory support and training significantly enhance innovative work behavior among physicians. The research suggests that AI-driven healthcare innovations could benefit from strategies that foster supportive work environments. Ensuring that AI adoption in healthcare aligns with employee training and motivation can lead to improved patient outcomes and operational efficiency. (Joather Al Wali et al 2021.)
10. The Mediating Role of Self-Image in AI Adoption and Job Crafting
Focusing on high-tech firms in China, this study reveals that AI adoption disrupts employee self-image, pushing workers to redefine their roles. Employees in low-meaningfulness jobs are more negatively affected, highlighting the need for better AI transition strategies. Organizations should emphasize job crafting and work meaningfulness to mitigate AI’s psychological impact on employees. The findings suggest that human-centered AI integration can help maintain workforce morale and adaptability. (Yandong Yin, 2025) Conclusion
The rapid advancement of AI is reshaping various sectors, from education and employment to governance and corporate strategy. While AI-powered learning enhances knowledge retention and job performance, its integration into the workforce presents both opportunities and challenges. AI-driven innovation fosters job creation in some sectors, yet automation displaces certain roles, particularly in freelancing and repetitive task-based jobs. Public concerns about job security, ethical governance, and transparency highlight the need for responsible AI deployment. To maximize AI’s benefits while mitigating its risks, policymakers, businesses, and educators must adopt inclusive strategies, ensuring workforce adaptability and equitable economic growth in an AI-driven future.
References
Brij Behari Dave, 2024. “Technology and AI—Impact on Country’s Growth and Unemployment,” Journal of Banking and Financial Dynamics, Eastern Centre of Science and Education, vol. 8, pages 6-16.
Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. “AI and Jobs: Evidence from Online Vacancies,” Working Papers 279, Princeton University, Department of Economics, Center for Economic Policy Studies..
Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. “The employment impact of AI technologies among AI innovators,” Working Papers of Department of Management, Strategy and Innovation, Leuven 722270, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
Hyun Yong Ahn, 2024. “AI-Powered E-Learning for Lifelong Learners: Impact on Performance and Knowledge Application,” Sustainability, MDPI, vol. 16(20), pages 1-20,October
Joather Al Wali & Rajendran Muthuveloo & Teoh Ai Ping & Mohammad Bataineh, 2021. “The Impact of HR Practices and Innovative Work Behavior on Job Performance in Physicians,” International Journal of Human Resource Studies, Macrothink Institute, vol. 11(3), pages 4266-4266, December.
Michael Gerlich, 2024. “Public Anxieties About AI: Implications for Corporate Strategy and Societal Impact,” Administrative Sciences, MDPI, vol. 14(11), pages 1-25, November.
Muhammed MIAH, 2024. “Unveiling the Evolutionary Impact of Artificial Intelligence on the Workforce,” Informatica Economica, Academy of Economic Studies – Bucharest, Romania, vol. 28(1), pages 39-58.
Ozge Demirci & Jonas Hannane & Xinrong Zhu, 2024. “Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms,” CESifo Working Paper Series 11276, CESifo.
Tasriqul Islam & Sadia Afrin & Neda Zand, 2024. “AI in Public Governance: Ensuring Rights and Innovation in Non-High-Risk AI Systems in the United States,” European Journal of Technology, AJPO Journals Limited, vol. 8(6), pages 17-27
Yandong Yin, 2025. “The Mediating Role of Self-Image in AI Adoption and Job Crafting: Evidence from Chinese High-Tech Enterprises,” Journal of Scientific Reports, IJSAB International, vol. 8(1), pages 106-117.