The Ledger, every show

“I think Google's underrated. I think it's going to be the first 10 trillion dollar company in our lifetime.”

“We're gonna need more AI-ready people, so I don't buy the jobs argument. We have so many things to do, there's not enough people to do it.”

“How am I gonna know that if you know how to use OpenClaw? Well, how am I gonna know you understand what an agent is? If you're not playing with it already, you're not sitting, going back home from work saying, I can't wait to get my hands on the new developmen…”

“My rule of thumb is that in the next three years, we'll probably have half the people in GNA type activities in companies. Things like marketing, things like finance, things like HR, because there's a lot of process management there, and a lot of process manag…”

“People believe we're going to have less people working because AI is going to take over our jobs. I don't believe that. I think what's going to happen is you can'forward imagine the number of people on my team who want more technical resources, more AI savvy r…”

“So I think FTEs are needed for the short term because remember, all the enterprise AI startups are hungry for revenue.”

“In six weeks we found vulnerabilities which would have normally taken us five to seven years to find.”

“If you're an analytical SaaS company, it's over.”

“Product managers are effectively glorified UI managers, so we're trying to make sure that us common folks can interact with data and some sort of engineering algorithm behind it because we're not smart enough to talk to the engineering algorithm ourselves.”

“The current startups you mentioned like startups that are trying to do what AI wrappers are trying to do on LLMs. And over time we're going to get better and better where we're going to squeeze their capability over time that you wouldn't need them.”

“I think in concept from a north star perspective, we should be able to take 80, 90% of customer support out in the next two to five years across the landscape.”

“India has not shown a propensity for large capex projects with unclear returns. Perhaps is the best way to say it. Right? You can't walk around and raise fifty billion dollars and build two nuclear plants to fund AGI today, irrespective of who you are, and irr…”

“We're over-indexing on the model. I think models are great. But being able to take that model, package that, all that context, all that knowledge, all that training, and be able to deliver a solution to you is what the next big sort of revolution needs to be.”

“The biggest mistake that people make during acquisitions is underestimate the intelligence of the people who built the business that you acquired. Because sometimes you take on the imperialistic attitude. I bought you, hence you must work for me.”

“AI can be great at 80% use cases. We live in the .1% use case. We're looking for the needle in the haystack. AI is not good at looking at the, for every needle in the haystack.”

“We infuse those AI native people into teams and say, keep hiring until you get to make sure that these people are more people in that team than people who've been there before. So once you start overwhelming these teams with more AI native people, you start wa…”

“At the present, the market is pricing in perfect execution for every company. Every idea that you see, the market wants to reward it because it thinks that Their returns are outsized, and the gains are going to be so huge that it doesn't matter.”

“I think in two, three months from now, open source have distilled all these capabilities, and we'll find open source models out there, which you can find to you if you're an attacker, to actually do this on a task basis.”

“So when people tell me, oh, OpenAI is going to eat my lunch, or Mythos is going to eat my lunch, guess what? There are no perimeter security scenario, which means I still need to block the bad guy. They need to be the ingredient in my product. They're not goin…”

“Average intelligence is going to be free in the long term, and the average intelligence will keep getting better. Exceptional intelligence will be paid for.”

“I think in the next three, four years we won't be paying for intelligence, we'll be paying for compute through our nose.”

“I think every consumer app will get rewritten in the next five to 10 years. You know, why would I not have my agent talk to my DoorDash app or Uber app?”

“I think the long-term token pricing should be one-tenth of what it is today.”

“In my view, Waymo is the biggest agentic product that is out there because guess what? We've replaced a human being called a driver, right?”

“The real enterprise revenue is going to come from use cases that are required a lot more context.”

“SaaS applications will give way to AI applications, the difference being SaaS applications have no opinion, AI applications will have opinions. That's a fundamental rethink we need from a workflow perspective.”

“We've been hiring people only through hackathons now, right? And we see natural attrition of two percent, give or take a month, and we just replace them with people who actually are AI savvy people who are from hackathons. Give me 12 months, I'll have sort of …”

“If I abstract, if I step back today there's not enough compute for what the world is demanding. Unequivocally not enough compute, right? You can't buy compute. Compute is costing two to three X or four X more than it used to cost two years ago. There's not eno…”

“I think more than half of the compute is going to feed the consumer, which is a fundamentally loss-making entity right now. Like, I don't think any of the frontier models make any money in trying to get you and me to use ChatGPD or, you know, Claude or Gemini …”

“So I don't think the total advertising pie is going to increase. You've already taken away 60, 70% of the advertising pie in the online world. Unless you tell me it's going to explosion atop where more people are going to spend more money in marketing, that mo…”

“Financial markets are not going to bear the cost of another hundred billion dollars at a trillion dollars or trillion and a half.”

“And I still believe I don't need Fable V or Mythos V to do 90% of what people do with the AI today.”

“So I think there may be a digestion period at some point in time when we think the demand for compute is there, but the capacity to execute is now limited by physics, and the infrastructure players have built up too much capacity for this demand.”

“My view right now is you have to have the Tesla approach if you're an enterprise that is building AI infused capability, but you can't have the approach of traditional car manufacturers, which are trying to Take a little bit of AI and sort of AI washing their …”

“So meet my chief AI officer who was probably a researcher at some amazing university before and has low execution skills. So until I can get my leadership to understand and agree the extent of the AI challenge and the AI opportunity, we're not going to make pr…”

“Because AI is moving so fast, I don't think the products are fully there yet. Like the enterprise products at the application layer don't exist in their entirety because we haven't been tested against the enterprise ask.”

“I think as we think things evolve the next 12 to 24 months, people will switch from one set of products to another because something will emerge as a better product.”

“Things I buy, either they're going to help me 10 X or a hundred X, or they're going to fail spectacularly. It doesn't matter if I paid one or two X at that point in time.”

“Let me put Palo Alto, it solves the problem that 20 different companies do together on one platform.”

“There is room to build companies which have tens of billions of dollars of market cap in the next 10 to 25 years.”

“Right now, the frontier models know this problem, and they're aggressively moving to incorporate memory and context into their models because they understand that's the mode. And the challenge is you have to pay for it twice. If you say, no, I don't want to us…”

“My concern would be at this point in time, given the base at which technology is evolving, given the uncertainty in terms of what's going to work, what's not going to work, I'm worried that it might be too much euphoria and a bit of FOMO going around in terms …”

“I think we're three months away, if not already there, from this being available in the wild.”

“We are going to need 10 times the data stored enterprise than we have today.”

“So I think the whole system of work System of record gets reinvented the next five years.”

“I still believe models are going to become a utility layer. You'll be able to buy intelligence on the fly”

“The false positive rate on Mythos was 30%.”

“I do think the agentic challenge is a much bigger challenge than the generative AI challenge.”