Generative künstliche Intelligenz in der öffentlichen Verwaltung – sieben Erfolgsfaktoren für eine flächendeckende Nutzung | Germany

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Generative Artificial Intelligence (GenAI) has the potential to significantly enhance efficiency in public administration by automating tasks that currently consume 60-70% of employee time, such as content synthesis and citizen interaction [3] - The German government plans to invest €1.5 billion by 2025 to expand the AI sector and leverage its potential for employees and businesses [3][4] - Successful scaling of GenAI in public administration depends on seven key factors, including regulatory frameworks, centralized provision of solutions, and effective risk management [5][15] Summary by Sections Investment Rating - No specific investment rating provided in the report Core Insights - GenAI can close efficiency gaps and accelerate the digitalization process in public administration [3] - Current usage of GenAI in public administration is primarily through pilot projects, with a focus on creating acceptance and demonstrating effectiveness [3] - The true potential of GenAI lies in its scaled, widespread use across different authorities [3] Preconditions for Widespread Use of GenAI - A reliable regulatory framework is necessary for scaling GenAI applications in Germany, addressing data protection and quality assurance [5] - Transparency regarding data protection and security is essential for GenAI to be perceived as a reliable technology [7] Success Factors for Technical Scaling - Centralized provision of functional GenAI solutions can facilitate broader use in administrative organizations [8] - A unified governance structure for the widespread deployment of GenAI solutions is crucial [9] - Existing technical infrastructure must be expanded to support GenAI solutions effectively [10] Success Factors for Accelerated Scaling - Systematic development of skills and recruitment of GenAI talent is necessary for effective deployment [13] - Encouraging the exchange of GenAI solutions among different authorities can reduce redundancy and improve efficiency [14] - Establishing effective risk management practices is vital to identify and mitigate risks associated with GenAI usage [15][16]