Turing CEO, Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear

Jonathan Siddharth is Founder and CEO of Turing, one of the fastest-growing AI companies advancing frontier models. Jonathan has led the company to an astonishing $350M ARR with just $225M raised and a profitable company. A Stanford-trained AI scientist, Jonathan previously helped pioneer natural language search at Powerset, which was acquired by Microsoft.

In Today's Episode We Discuss:

• Data, Compute, Algorithms: What is Most Abundant? What is Lacking Most?

• What Does No One Know About AI's Data Requirements That Everyone Should?

• The Biggest Challenges Enterprises Have with AI Adoption

• Why Will 99% of Knowledge Work Will be Gone in 10 Years

• How Will Data-Driven Feedback Loops Replace Technology as the Moat

• Who Wins the Data Labelling Market? Who Loses?

• Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue?

• Why is SaaS Dead in a World of AI?

• Will the Phone be the Primary User Interface to an AI World?