How Generative AI will change work in IT in the near future
Malinina, Polina (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023111729936
https://urn.fi/URN:NBN:fi:amk-2023111729936
Tiivistelmä
This research-type thesis aims to explore the Generative AI technology and its application to the workflow of an IT specialist, the possibilities of integration of Generative AI tools to the business processes, define the scenarios of the technology development and influence on the IT field for the next five years.
The research is conducted using qualitative methods. By comparing information collected through systematic literature review and semi-structured interviews with IT specialists, thesis aims to realistically evaluate Generative AI potential and define risks associated with the technology that cannot be overlooked.
The report begins with an introduction chapter that defines research aims and objectives as well as the key concepts explored in the study. The introduction is followed by literature review that outlines possibilities and limitations of Generative AI, ways of its application to the IT specialist workflow, impact of the technology on the employee productivity, opportunities and risks related to integration of Generative AI tools into the business processes. The next chapter defines and justifies the interview method, outlines the research focus group and implementation steps. It is followed by the summary of the interview participant’s insights and experiences. In the discussion chapter gathered information is efficiently analyzed to answer the research questions. The report is closed by a list of Generative AI tools and their application to various IT roles, recommendations for individual specialists and businesses regarding Generative AI, as well as formulated scenarios of this technology future development and influence on the field of IT.
The study concludes that Generative AI is the technology that will stay and become a new norm in the IT specialist workflow. Currently ChatGPT and GitHub Copilot are the tools that will be the most beneficial for the IT specialist, while other role-specific tools may be not yet developed enough to be useful for senior specialists. Generative AI is expected to transform standard IT roles, automate, and simplify development processes. Albeit its benefits for individual specialists, this technology is not recommended to be integrated on the business level for now, since there is no sufficient law regulation of AI, which makes the tools not safe in terms of potential confidential information leakage, issues related to copyright and output bias of the current Generative AI models. The research also formulates negative, neutral, and positive Generative AI evolvement scenarios that cover changes that the technology may cause on the IT industry in the next five years.
The research is conducted using qualitative methods. By comparing information collected through systematic literature review and semi-structured interviews with IT specialists, thesis aims to realistically evaluate Generative AI potential and define risks associated with the technology that cannot be overlooked.
The report begins with an introduction chapter that defines research aims and objectives as well as the key concepts explored in the study. The introduction is followed by literature review that outlines possibilities and limitations of Generative AI, ways of its application to the IT specialist workflow, impact of the technology on the employee productivity, opportunities and risks related to integration of Generative AI tools into the business processes. The next chapter defines and justifies the interview method, outlines the research focus group and implementation steps. It is followed by the summary of the interview participant’s insights and experiences. In the discussion chapter gathered information is efficiently analyzed to answer the research questions. The report is closed by a list of Generative AI tools and their application to various IT roles, recommendations for individual specialists and businesses regarding Generative AI, as well as formulated scenarios of this technology future development and influence on the field of IT.
The study concludes that Generative AI is the technology that will stay and become a new norm in the IT specialist workflow. Currently ChatGPT and GitHub Copilot are the tools that will be the most beneficial for the IT specialist, while other role-specific tools may be not yet developed enough to be useful for senior specialists. Generative AI is expected to transform standard IT roles, automate, and simplify development processes. Albeit its benefits for individual specialists, this technology is not recommended to be integrated on the business level for now, since there is no sufficient law regulation of AI, which makes the tools not safe in terms of potential confidential information leakage, issues related to copyright and output bias of the current Generative AI models. The research also formulates negative, neutral, and positive Generative AI evolvement scenarios that cover changes that the technology may cause on the IT industry in the next five years.