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 artwork

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

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

December 1, 2025

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 $300M ARR with just $225M raised and a profitable company.
Speakers: Jonathan Siddharth, Harry Stebbings
**Jonathan Siddharth** (0:00)
I think the era of data labeling companies is over, and it's now the era of research accelerators. All knowledge work is going to be automated. It's only a matter of time. I don't see an AI bubble. These models are incredibly powerful today. SaaS as we know it, I think is over. I think it's completely over.

**Harry Stebbings** (0:18)
This is 20VC with me, Harry Stebbings, and I'm so excited for the show today. So I'm fascinated by the data labeling market. McCool, Surge, Turing, Invisible. There are seven players that I know of that do over 100 million in annual recurring revenue. All of them have more than 50% of their revenue from two customers. The way they use the term revenue is also sometimes super unclear versus GMV. There are bluntly just a lot of questions. Today I do not pull any punches with the man leading one of these companies, Jonathan Siddharth, founder and CEO of Turing, a company that he has scaled to over $350 million in annual recurring revenue, raising $225 million in the process and now being a profitable company. This is an amazing discussion. And as I said, the tough questions get answered. But before we dive into the show today, are you drowning in AI tools? Chat GPT for writing, Notion for docs, Gmail for email, Slack for comms, and you're constantly copy pasting between them all, losing context and losing time. This is the AI productivity tax and it's killing your output. At 20VC, we're all about speed of execution. And Superhuman is the AI productivity suite that gives you superpowers everywhere you work. With the intelligence of Grammarly, Mail and Coda built in, you can get things done faster and collaborate seamlessly. Finally, AI that works where you work, however you work. Superhuman gets you from day one with zero learning curve, and it's personalized to sound like you at your best, not like everyone else using generic AI. Get AI that works where you work, unlock your superhuman potential. Learn more at superhuman.com/podcast, that's superhuman.com/podcast.
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**Jonathan Siddharth** (4:18)
Thank you for having me, Harry.

**Harry Stebbings** (4:19)
Now, I want to start with a little bit of definitions because everyone thinks that talent marketplaces and then everyone pushes back on talent marketplaces. How do you describe it and why are we not dealing with talent marketplaces anymore?

**Jonathan Siddharth** (4:33)
I think of a talent marketplace as something that's basically matching talent to something. Maybe it's an opportunity. So Turing is not a talent marketplace. What we do at Turing is we're training superintelligence. We work with seven out of the eight frontier labs. To get to superintelligence, you need research, compute, and data. Research, the labs do in-house with OpenAI, Anthropic, DeepMind, etc. For compute, we have Jensen to thank and maybe NVIDIA as well. On the data side, Turing powers the data pillar. On the data side, there's been a significant shift in the last couple of years. So a few years back, the models weren't quite smart enough. As the models have gotten increasingly smarter, the data needed to improve them has become harder to generate.

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