"AI tools were saving time, focusing on more important work and being more creative." - Microsoft Australia CTO, Sarah Carney The report suggest 200,000 Australian AI workers will be needed by 2030. “Growing the number of AI development jobs could be achieved by offering alternative entry-level pathways, opportunities for mid-career retraining and upskilling in AI, and drawing on skilled migration, particularly for highly technical roles requiring experience,” It was estimated the productivity gains would be worth $115bn to the Australian economy. In New Zealand we have a massive talent shortage for "AI Engineers", these people are not Data Scientists. They look more like Software Engineers with strong cloud & architecture skills, what puts Software Engineers off is the Math needed to understand AI systems, and what puts the Data Scientists off is implementing the software for production complex user facing systems. I think its likely this shortage will be filled by Software Engineers. - One knows about Math. - The other knows about Systems. (Data Engineers & Solutions Architect being the closet middle ground. ) How is your team AI upskilling tracking? Interested to know what type of person is moving towards this new role. Article: https://lnkd.in/g3Qbd5Hw
Except that by 2027 my new AutoML/NAS system will be doing all those jobs. Now insert cash here 😮
I've been saying for a while that I feel like data engineers have a easier path to becoming AI engineers as they are already comfortable working with Python and handling data, and without data AI is pretty useless.