Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
arXiv:2601.16700v2 Announce Type: replace-cross Abstract: Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers. While adoption rates in the industry are rising, the underlying factors influencing the effective use of these tools, including the depth of interaction, organizational constraints, and experience-related considerations, have not been thoroughly investigated. This issue is particularly relevant in environments with stringent regulatory requirements, such as Germany, where practitioners must address the GDPR and the EU AI Act while balanc
The rapid development and adoption of Generative AI tools are prompting empirical studies to understand their real-world impact and challenges, especially in regulated industries.
This study provides crucial insights into the factors influencing effective GenAI adoption in a significant industrial sector under stringent regulatory frameworks, highlighting barriers and drivers for strategic planning.
Understanding of GenAI integration moves beyond simple adoption rates to include depth of interaction, organizational constraints, and experience, particularly in highly regulated environments like Germany.
- · Generative AI tool developers
- · Consulting firms specializing in AI adoption and regulation
- · Companies effectively integrating GenAI tools
- · Companies slow to adapt to GenAI
- · Traditional software development methodologies
- · Companies ignoring regulatory compliance for AI
Increased pressure on regulated industries to develop clear guidelines and best practices for GenAI deployment.
Heightened demand for developers proficient in ethical AI use and regulatory compliance.
The emergence of new industry standards and regulatory bodies specifically tailored for enterprise GenAI applications across different jurisdictions.
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Read at arXiv cs.AI