Prediction Open · timeframe Dec 2035
Siddharth: All digital knowledge work will be automated within 10 years
“The glimpse of the future that I see is that all knowledge work is going to be automated. If a human's job involves looking at a computer, analyzing what's on the screen, using different tools, using a keyboard and a mouse, it's going to be automated. It's onl…”
Opinion
Siddharth: The era of traditional data labeling companies is over
“I think the era of data labeling companies is over, and it's now the era of research accelerators.”
Opinion
Siddharth: There is no AI bubble because current models are incredibly powerful
“I don't see an AI bubble. These models are incredibly powerful today.”
Opinion
Siddharth: Traditional SaaS as we know it is completely over
“SaaS as we know it, I think is over. I think it's completely over.”
Prediction Not checkable as stated
Siddharth: AGI development will follow a slow, steady takeoff timeline
“It's innings one, and I believe in slow takeoff. I'm sorry to pour cold water on all the AI doomers that might be listening to this, but we are not in a rapid takeoff scenario. I believe in slow, steady takeoff for AGI and eventually super intelligence.”
Prediction Not checkable as stated
Siddharth: AGI will allow non-technical founders to launch startups cheaply
“In a future where AGI exists, this person will recruit a marketing GPT, a software engineer GPT, a PM GPT, and get off the ground for a lot less capital. A million flowers will bloom. Lots and lots of non-technical founders will start companies.”
Insight
Siddharth: Current AI models suffer from a significant capability overhang
“And there's a very significant model capability overhang. By that, what I mean is the models are capable of X, but what we are getting out of the models is X minus Delta.”
Prediction Not checkable as stated
Siddharth: There will be more software engineers in ten years than today
“I think it'll, I think there'll be more software engineers because if you define a software engineer as somebody who's capable of building a software product to solve a real problem, that pool of builders is going to expand way beyond people who've graduated w…”
Opinion
Siddharth: Vertical AI data is crowded, but robotics remains wide open
“The vertical stuff, like, I mean, we are scaling up pretty massively in generating data for different verticals. So I don't see that as like a big white space. But I think everybody is relatively early with robotics. And robotics is such a vast realm that ther…”
Assertion Supported
Siddharth: Chinese open-source AI models like DeepSeek and Qwen are state-of-the-art
“I think it's very impressive, like the progress that they've made in open source with DeepSeek Kimi Ketu, Kuen. These models are state of the art.”
Assertion Not publicly verifiable
Turing works with seven of the eight frontier AI labs
“We work with seven out of the eight frontier labs.”
Prediction Not checkable as stated
Siddharth: Enterprise custom AI models are a permanent requirement
“I think it's a permanent requirement.”
Prediction Not checkable as stated
Siddharth: Enterprise AI adoption will be slow in back-office, fast in front-office
“In back office automation, it'll probably be very slow, and it'll, it'll probably be the upstarts that'll do things well. I think the change management will be too slow. But I'm optimistic about front office, especially in financial services, life sciences, ph…”
Insight
Siddharth: Data-driven feedback loops will be the key moat in AI
“I think one moat will be data-driven feedback loops.”
Prediction Held up
Siddharth: Governments will build sovereign internal AI models
“I think it would make sense for governments to build their own internal versions of some of these models, which would require proprietary data again to be collected.”
Opinion
Siddharth: Developers should keep frontier AI model technology closed for safety
“I feel like for frontier models, there is some value in keeping some of the technology closed.”
Insight
Frontier AI training now requires domain experts over low-skilled contractors
“So it's no longer the kind of data that low-skilled, medium-skilled contractors can generate. You need expert humans in every domain.”
Assertion Not checkable as stated
Siddharth: Reinforcement learning is the dominant paradigm for training AI agents
“Today, the dominant paradigm is reinforcement learning.”
Insight
Siddharth: Universal AI assistants require trillion-parameter models
“Like, I mean, if you want like a general purpose assistant, I think you need a trillion parameter model, right? Like that can answer anything to be a universal assistant.”
Assertion Not checkable as stated
Siddharth: Budget transition to AI is highest in marketing and support
“I think the transfer is pretty high in areas like customer support copywriting SEO, like some of these marketing related areas.”
Insight
Siddharth: AI enterprise models lag consumer deployments and need real-world usage to improve
“I feel like the models have touched reality in consumer. We haven't yet touched reality in enterprise. And the only way we'll improve is by deployment.”
Prediction Open · timeframe Dec 2030
Siddharth: Future hardware will be always-on devices processing multimodal tokens
“We'll have some type of a device that is, that we'll carry that's always on and processing multimodal tokens.”
Prediction Open · timeframe Dec 2035
Siddharth: AI data market will consolidate into a few main winners
“I think there'll be a few winners. I think there'll be a few winners. A few because I do think for the labs, it helps them to have a few partners for resiliency. And I imagine also for price competitiveness. I think there'll be a few winners.”
Insight
Siddharth: Founders must stay close to ground truth rather than delegating
“I used to believe that to build a Enduring, valuable company. You hire a strong, ah, exec team and operate with a lot of leverage. Basically hire strong people, hire great people and get out of the way. I used to believe that. Now I believe you hire great peop…”
