Jordan Fisher
AI Alignment Research Lead, Anthropic · 1 appearance on the record.
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Jordan Fisher co-founded Standard AI, serving as CEO until transitioning to Chairman in 2024. He currently leads an AI alignment research team at Anthropic, focusing on AI safety and agent guardrails.
25statements → 7claims → 0claims resolved → 3.36/5average certainty → 2.56/5average debate potential →
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4 predictions · 3 assertions · 5 opinions · 13 insights · every statement was checked. The predictions and assertions are the 7 claims: statements the public record can support or contradict. 0 are resolved, and 7 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
Everything Jordan Fisher said on the Y Combinator Startup Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Fisher: AGI is extremely likely to arrive within two to three years
“Cause it's extremely likely that we will have AGI in the next few years. Maybe it's not two, maybe it's three.”
Fisher: VCs Investing in AI Are Already Two Years Behind
“And I think even today, like you talked to a bunch of VCs and they're like, oh yeah, like I'm ahead of the curve. Like I'm investing in AI. I'm like, no, like you're two years behind already. Right. Like, tell me about what you think needs to happen in two yea…”
Fisher: Large enterprises are replacing SaaS purchases with AI-assisted internal builds
“Large enterprises sometimes aren't even going out and buying software from SAS providers anymore. They're like, I can just like Throw two people at cloud code and they'll build it and it'll be dedicated to the capabilities that I need for my organization.”
Fisher: Retrofitting Existing Products With Distribution May Beat AI-Native Startups
“It's natural to think it's better to build it a new product from the ground up that's AI native. Like that's like my startup mentality, like new technology revolution. You need to start from scratch if you want to build this right. But that might not be true. …”
Semi-automated companies allow single bad actors to act without human whistleblowers
“In a semi-automated world, that's no longer true. And it could be the fact that a single person could make a decision that changes the entire impact of a product. And there's no single person that might be aware of that except themselves. It gets extremely eas…”
Fisher: Post-AGI capital won't need labor buy-in, worsening wealth concentration
“But once AGI arrives, you don't need labor buy-in anymore. Right. Like you don't need folks like me to approve of the thing that you're building or of your morals or whatever. Right. Like capital begets capital in that world. And that can easily spiral out of …”
Fisher: Users choose honest AI over sycophancy when asked at principle level
“But I think if you take a step back, and you say, hey, hold on a second, here's two principles, and you can choose the AI that follows this principle or this principle, The first principle is that we're never gonna blow smoke up your ass. We're only gonna tell…”
Fisher: Enterprise buyers will adopt AGI agents within a few years
“And I think that's actually extremely nearsighted because what's going to happen, I think open question is the buy side, the enterprises, they're going to get armed with AGI or strong agents over the next couple of years as well.”
Fisher: AI code automation may raise software quality bar significantly
“I think another outcome actually is the opposite. It's like maybe all of this automation on, on generating code makes it easier to just raise the quality bar extremely high.”
Fisher: Many AI developers have abandoned fine-tuning for context management
“I think a lot of people have abandoned fine tuning and said, actually, I'm just going to do better context management.”
Fisher: AI Model Providers Will Arbitrate What Gets Built
“If we end up relying on these models, that's a massive question for society, right? That there's going to be a handful of corporations that get to decide what is okay and not okay for an AI to do for you. And if we start relying on AI to do everything, then th…”
Fisher: Blockchain ideas could address AI trust and compute distribution
“But I do think You know, in this world where we need trust, yeah, like, those, that's the right set of ideas. We need ideas like that in others, right? Like, you know, something that is always touching on is like, you know, AI-powered audits. Can, like, two di…”
Fisher: Current AI Is Not Trustable Enough for On-Demand Backend Code
“And obviously right now AIs are not trustable enough to make that happen.”
Fisher: The definition of an AI-native company changes every 6 to 18 months
“And actually that might be different every six, 12 or 18 months, right? Cause the capabilities of AI are changing. So like an AI native company today might be different than what an AI native company tomorrow looks like in 12 months. You might be outdated if y…”
Fisher: Users want a single AI assistant bridging personal and professional work
“As a user, you want one agent for all of your things, right? So me, I want my personal agent and my professional agent at work to be able to work together, right?”
Base model alignment does not guarantee AI agents align with user interests
“The truth is, even if you have a perfectly aligned, you know, quote unquote, like intent aligned model, It's going to be used by a corporation or a startup to build an agent for that user. And then the question is, can you trust the startup that's building the…”
Fisher: Traditional corporate trust relies on employee whistleblowers checking bad leadership
“One of the core reasons we trust companies today is because they're composed of a diversity of people. You can trust to some extent that if there's reasonable culture at a company, that if the company decides, if the CEO decides to do something bad, that someo…”
AI auditors hold advantages over humans because they can delete their memory
“There's this huge advantage that AI has over humans when it comes to bringing comfort to an audit, which is that they can be less biased and they can also have no memory.”
Fisher: Continuous AI auditing of company operations will soon be possible
“Maybe this isn't the right way to do it, but I think things like this are going to be possible soon. They're not possible today, and they might be the flavor of things that we need to start building trust once we're in this world where we've lost a lot of trus…”
Fisher: Economic pressure for long-horizon agents will drive AI alignment progress
“I'm actually really positive and bullish that there is this economic pressure in a good way To make progress on alignment because long horizon agents require it.”
Fisher: Technical compute optimization offers startups a competitive advantage for 1-2 years
“So I think this is like a place where if you're interested in the technical details, you can have a competitive advantage, at least for the next year or two because capacity is really going to matter, right? You know, often from a product perspective, I like t…”
Fisher: Hard physical and semiconductor problems provide durable moats post-AGI
“And I think a lot of things actually, like TSMC, like ASML, those are hard problems that eventually will get easy with robotics, et cetera, but robotics are lagging behind. So I think there's these hard problems that will exist even in two years, and if you're…”
Fisher: Tasks with intelligence ceilings face rapid commoditization pressure
“If there is a ceiling, then the commoditization for that task is going to hit much sooner, right? You actually can't stay on the edge longer by moving to the next model, figuring out how to prompt the next model. The task saturates, right? So the commoditizati…”
Fisher: Lasting AI startups require defensibility, though quick flips do not
“I honestly think there's a lot of money to be made in the next, in On a six to 18 month horizon, if all you're optimizing for is, like, you know, hockey stick curve, grow your ARR, flip the company and make a quick buck, like you don't, you might not need some…”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Ask These Questions Before Starting An AI Startup · Y Combinator | Oct 7, 2025 | 34m |