The public release of ChatGPT by OpenAI in 2022 marked a watershed moment for the public’s awareness of artificial intelligence (AI). Technology advancements as well as mass media attention have driven significant interest, investment and speculation on the future use of AI more broadly, including generative AI. This includes the use of generative AI in the engineering processes within high safety impactful or safety critical applications. Appropriate use of AI, such as Language Models, may provide benefits in terms of improving engineering capabilities. However, early adoption efforts have revealed numerous obstacles. These challenges need to be considered and addressed to realise the potential as well as mitigate undesirable outcomes. This paper will provide selected preliminary findings from contemporary research exploring the perspectives of engineering practitioners on the adoption of AI within engineering processes in the UK and US. The aim of this paper is to highlight findings which may be of immediate interest to the Safety-Critical Systems Club community. It is hoped this will provide awareness and motivate upskilling within the safety community to develop the capabilities re-quired to appropriately assess the proposed adoption of AI within the engineering development processes.