Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation and scaling, dealing with the homogeneity of generative AI output, and how to stay afloat in the new wave of job automation.
This episode is brought to you by the <a href="http://www.dell.com/dellproaistudio">⁠Dell⁠</a>, by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠Intel⁠</a>, by <a href="http://odsc.ai/">⁠ODSC, the Open Data Science Conference⁠</a> and by <a href="http://gurobi.com/learn">⁠Gurobi⁠</a>.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/925">⁠www.superdatascience.com/925</a>⁠⁠⁠⁠⁠

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
<ul>
 <li>
(04:00) All about How Progress Ends: Technology, Innovation, and the Fate of Nations
</li>
 <li>
(14:26) The role of weak ties in driving technological innovation
</li>
 <li>
(18:22) How to keep innovating as a big business
</li>
 <li>
(48:05) What we can learn and apply from previous industrial revolutions
</li>
 <li>
(54:33) How workers can try to ‘future-proof’ themselves
</li>
</ul>

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925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey

Super Data Science: ML & AI Podcast with Jon Krohn

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