The Impact of AI on Increasing the Software Project Productivity in Pakistan and Finland
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This study analyses how the use of Artificial Intelligence affects performance and productivity
across different regional contexts, using a quantitative survey questionnaire distributed to 28
software professionals currently employed at software companies in Finland (n=8), and Pakistan
(n=20). By deploying a structured Likert-scale questionnaire, the survey measured three
important variables: code quality, professional confidence in using AI, and perceived
productivity.
The research findings demonstrate that there is a positive association of AI adoption with
perceived productivity across both national contexts. The respondents from Pakistan showed
thorough optimism, affirming that AI increases the software project productivity, and the
majority of them reported speedy task completion, whereas the Finnish respondents, even
though they are more senior, held reservations and heterogeneous views, especially on code
quality. However, Pakistani IT professionals exhibited a positive organizational support for AI use.
Ethical considerations around AI outputs and governance frameworks also shape the confidence
levels of experienced Finnish developers. The findings reveal that novel enthusiasm does not
linearly correspond to technological maturity. Achieving the maximum potential of AI in software
development processes requires comprehension beyond tools alone, containing formal training,
governance mechanisms, and a professional organizational culture that critically evaluates AI
outputs. The interaction of human and technological factors is ultimately central to how AI
reshapes software productivity across diverse national contexts. Spearman correlation analysis
was also employed across eight factor pairs to study the inter-variable relationships between
ordinal and binary measures.