​We all remember back in March when prominent leaders, researchers, and figures in tech, most notably Elon Musk and Steve Wozniak, signed a letter advocating for a six-month pause of giant artificial intelligence (AI) experiments. Despite the letter prompting a wide discussion and raising both ethical and practical concerns that were acknowledged by many in the field, few were surprised that the letter had a negligible impact on slowing the pace of research.

​Now, approximately six months following the letter’s initial publication, we check in with those who are among the closest to the subject in question: developers. In our latest Developer Nation survey, we collected insights, perspectives, and real-world experiences from over 17,000 developers worldwide, delving into the ways in which they build generative AI applications and the future impact of the technology on their work. 

​In this session, we will present our analysis from a snapshot of the survey data collected to offer insight into how developers incorporate generative AI functionalities into their applications, and how they perceive the future of this pioneering technology.

​Key Questions we will answer:

• ​To what extent do developers add generative AI capabilities to their application? How many are planning to do so in the future, and how many have no interest at all?

• ​What methods do developers use to incorporate generative AI functionalities into their applications?

• ​What role does experience play in how developers build generative AI applications?

• ​How do developers view the future of generative AI in terms of how it will affect they way they work?

• ​Which developer segments are more optimistic about the impact of generative AI on how they work?

• ​Do those who already build generative AI applications view the future of the technology in the same way as those who don’t?

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Q&A - There will be a Q&A session after presentation

​Presented by

​Nikita Solodkov, Senior Market Research Analyst, SlashData

​Nikita Solodkov is a multidisciplinary researcher with a particular interest in using data-driven insights to solve real-world problems. He holds a PhD in Physics and has over five years of experience in data analytics and research design.