20VC: Scale, Surge, Turing, Mercor: Who Wins & Who Loses in Data Labelling | Is Revenue in Data Labelling Real or GMV? | Why 99% of Knowledge Work Will Go and What Happens Then? | Why SaaS is Dead in a World of AI with Jonathan Siddharth @ Turing

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.

AGENDA:

03:35 Data, Compute, Algorithms: What is Most Abundant? What is Lacking Most?

09:18 What Does No One Know About AI's Data Requirements That Everyone Should?

17:05 The Biggest Challenges Enterprises Have with AI Adoption

20:38 Why Will 99% of Knowledge Work Will be Gone in 10 Years

27:12 How Will Data-Driven Feedback Loops Replace Technology as the Moat

36:08 Who Wins the Data Labelling Market? Who Loses?

38:23 Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue?

45:20 Why is SaaS Dead in a World of AI?

51:23 Will the Phone be the Primary User Interface to an AI World?

57:07 Quickfire Round