AI is a rapidly developing, heavily invested field, and it's becoming a part of everyday life. The speed of development and technological breakthroughs raise mixed feelings, require rapid adaptation and legal, ethical and regulatory challenges. Architecture and civil engineering are conservative industries with unique projects, large numbers of participants, complex collaboration, high costs and liability, which makes the challenges of using AI even greater. The entry of AI into both industries has been slower due to their conservative nature, but research shows that its use has been increasing. The thesis discusses the definition, classifications, domains, advantages, disadvantages, and current use cases of AI. In addition, it also discusses the potential of using AI-enhanced tools in the areas of visualising single-family homes and querying information from codes and technical plans. ChatGPT, Leonardo, Gencraft, Freepik and Copilot have been used in this context. The results show different potential applications in the selected fields. In the case of visualisations, the use of AI makes sense if houses have a more characteristic appearance, with Leonardo and ChatGPT showing the most promising results. In the remaining areas, the use of AI in text processing proved to be reasonable, with ChatGPT proving to be a more suitable tool than Copilot. All tools so far are limited in the ability to recognise graphical data of technical plans. However, no tool completed the assigned tasks without error, so the use of AI only makes sense if the user is able to identify errors and give correct guidance.
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