The Impact of AI-Driven Innovations on Career Progression, Skill Requirements, and Job Roles in Financial Management
Bai, Jiele (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052214443
https://urn.fi/URN:NBN:fi:amk-2025052214443
Tiivistelmä
With the rapid advancement of Artificial Intelligence (AI) technologies, AI-driven innovations have gained significant traction across various industries, including financial management. This transformation is reshaping traditional roles and practices, redefining the skills and competencies essential for success. This thesis investigates the impact of AI-driven innovations on career progression, skill requirements, and job roles in financial management.
The theoretical foundation is grounded in the Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), Human Capital Theory (HCT), and the Skills Development Competency Framework (SDCF). A qualitative research approach was employed, combining semi-structured interviews with financial professionals and a supportive review of job postings in financial management. Data was collected over a six-month period to provide comprehensive insights.
The results indicate that AI has fundamentally altered the nature of job roles in financial management, driving an urgent demand for new technical skills such as proficiency in AI tools, Python programming, and Machine Learning (ML). Equally important are adaptability and continuous learning, and enhanced collaboration skills, which have become essential for professionals navigating a rapidly evolving landscape. Conversely, professionals resistant to adopting innovative technologies or unwilling to upgrade their skills are likely to face significant challenges in maintaining relevance within financial management. Furthermore, AI integration is reshaping career progression and leadership expectations, placing higher value on strategic thinking and technological literacy.
In conclusion, the study emphasizes the critical importance of continuous learning and skill development for professionals in financial management to remain competitive in the AI-driven era. Staying relevant in this rapidly changing landscape requires individuals to embrace emerging technologies and proactively upgrade their technical and soft skills. By cultivating adaptability and committing to lifelong learning, professionals can effectively navigate the evolving demands of financial management.
The theoretical foundation is grounded in the Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), Human Capital Theory (HCT), and the Skills Development Competency Framework (SDCF). A qualitative research approach was employed, combining semi-structured interviews with financial professionals and a supportive review of job postings in financial management. Data was collected over a six-month period to provide comprehensive insights.
The results indicate that AI has fundamentally altered the nature of job roles in financial management, driving an urgent demand for new technical skills such as proficiency in AI tools, Python programming, and Machine Learning (ML). Equally important are adaptability and continuous learning, and enhanced collaboration skills, which have become essential for professionals navigating a rapidly evolving landscape. Conversely, professionals resistant to adopting innovative technologies or unwilling to upgrade their skills are likely to face significant challenges in maintaining relevance within financial management. Furthermore, AI integration is reshaping career progression and leadership expectations, placing higher value on strategic thinking and technological literacy.
In conclusion, the study emphasizes the critical importance of continuous learning and skill development for professionals in financial management to remain competitive in the AI-driven era. Staying relevant in this rapidly changing landscape requires individuals to embrace emerging technologies and proactively upgrade their technical and soft skills. By cultivating adaptability and committing to lifelong learning, professionals can effectively navigate the evolving demands of financial management.