AI and Workforce Transformation with Stanford Deep Learning Professor | CXOTalk

On episode 837 of CXOTalk, we explore AI and workforce transformation with Kian Katanforoosh, co-creator of Stanford's Deep Learning course and CEO of Workera. Join us for a discussion on the practical implications of generative AI for businesses and strategies for transforming a future-ready workforce.
#futureofwork #workforcetransformation #cxotalk #enterpriseai
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[@Texasuser-yc7os]

Can you please have a dedicated session for enterprise architects and AI upskilling? where exactly they should focus to meet the market demands. i haven't seen any AI enterprise architect roles widely.

[@CXOTalk]

I suggest you watch some of our live shows and ask the guests this question. Subscribe to our newsletter to be notified of live shows: cxotalk.com/subscribe

[@NexaOps]

Today, looking-out at the current milestone we are passing on our AI journey, many companies envision using AI as a tool that empowers managers and employees to increase productivity and creativity. Companies are clinging to the belief that they will continue to need employees to perform job roles, especially as those employees are boosted by AI skills that make them more efficient and effective. But how long will it take before this upskilling becomes a waste of time? This belief in upskilling is due to a fundamental misunderstanding of exponential growth in AI performance, and thinking that current capabilities will persist in the foreseeable future. Unfortunately, as AI develops, roles for people that seem practical for the future now, will increasingly (and quickly) lose their significance. The reality is that any task that can be defined, can eventually be automated. Jobs, as we know them and envision them, will be toast!

[@CXOTalk]

Interesting perspective. Thanks for watching and sharing your comments!