Whose job does AI automate? | Cassie Kozyrkov | DSC Europe 23

In this talk, Cassie discussed the future of data science, exploring its evolution and potential in a world where the speed and complexity of automation are accelerating, and generative AI is driving a new user experience revolution that reshapes the data science landscape. She also explored the emergence of a new group of professionals who are bridging the gap between technical brilliance and valuable business directions. Cassie aimed to inspire a new understanding of data science, not just as a buzzword, but as a discipline that makes data useful, reduces business risks, and automates processes through machine learning and AI.
This Keynote speech by Cassie Kozyrkov was held on November 22nd at Data Science Conference Europe 2023 in Belgrade.
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[@deliyomgam7382]

Grounded rice + flour + steamed

[@gitasuputra8371]

beautiful mind

[@paulholsters7932]

You cannot automate all developers out of a job but it’s insane to say you can’t automate a substantial part of them out of job. If AI can create certain webapplicaties you don’t need no more engineers only prompt people who give the instructions on what to build. Engineers in these usecases will only be there for bugfixing. On the counter side if AI can’t create your typical webapplication based solely on instructions AI sucks and we should stop talking about it. But it’s either the former or the latter that is it will replace a lot of people or it will replace hardly anybody because the tools based on it are very limited (ie they suck). To make it clear : there will be massive layoffs or it will be like no code today. It is useful in a few usecases but mostly it sucks.

[@vallab19]

No brain questions. What to do, when the middle ranking jobs gets automated and no opportunity for the fresheners to gain the middle skills to perform the high skilled jobs?
Don't worry, Be happy. Because the high skilled jobs will also get automated sooner with the advent of GPT 5 or 6.