The recent proliferation of commercial software claiming ground in the field of music AI has provided opportunity to engage with AI in music making without the need to use libraries aimed at those with programming skills. Pre-packaged music AI software has the potential to broaden access to machine learning tools but it is unclear how widely these softwares are used by music technologists or how engagement affects attitudes towards AI in music making. To interrogate these questions we undertook a survey in October 2019, gaining 117 responses. The survey collected statistical information on the use of pre-packaged and self-written music AI software. Respondents reported a range of musical outputs including producing recordings, live performance and generative work across many genres of music making. The survey also gauged general attitudes towards AI in music and provided an open field for general comments. The responses to the survey suggested a forward-looking attitude to music AI with participants often pointing to the future potential of AI tools, rather than present utility. Optimism was partially related to programming skill with those with more experience showing higher skepticism towards the current state and future potential of AI.