Everything Rohit Agarwal said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Agarwal: AI operational spend will surpass traditional cloud DevOps spend
“So will AI spend surpass cloud spend? I a hundred percent believe that, which means that the AI ops spend surpasses DevOps spend. It's bound to happen.”
Agarwal: Claims that 80% of code is AI-written are accurate
“There are so many companies coming out and saying, 80% of all of my code base today is written by AI, and that is truth, and that's what we're seeing everywhere as well.”
Agarwal: Anthropic's Claude Code is killing the standalone vibe coding startup market
“It is killing that market. I think there is, that market is now finding its own niches, and Anthropic clearly realized that if 50% of my API revenue is going to come from vibe coding, they will Claude code and be like, I can still build the best vibe coding sy…”
Agarwal: AI startups must prove they offer better returns than backing Anthropic
“And I've heard this in conversations where a VC would be like, do you, do I invest in startups, which is like a risky business and I'm still getting a 10 X return or do I just put my money in Anthropic and I'll just get a 10 X return without doing any work. So…”
Agarwal: SaaS will become systems of record while AI agents handle execution
“In the current format, SAS companies will just become systems of records. So you had the database, which got obsolete because of a SAS platform, which is just crud on this database, but interesting crud on this database. Now, SaaS platforms I think are the new…”
Agarwal: Enterprise software budgets have stalled entirely outside of AI initiatives
“Like if you're going and asking for a 100,000 budget or a 500,000 budget, except AI, there is no spend happening in any other software category.”
Agarwal: 90% of production LLM use cases do not use automatic routing
“In fact, I would say in production, 90% of the use cases do not use automatic routing. What they want is deterministic flows. As long as the gateway manages authentication authorization for them, it's perfectly fine. The request hitting A specific model that t…”
Rohit Agarwal: Retool is no longer very popular
“Retool is no longer very popular, but we were heavy users of it, like in 20, 20, 21.”
Agarwal: Production software infrastructure makes more money than developer tools
“Production companies make money and are And see just much higher adoption than developer-focused companies.”
Agarwal: 80% of engineering tasks can be automated with AI
“80% of this work, I think can be automated with AI.
I still believe you need the last 20%.
So there still has to be a manager of these agents who's telling you,
Okay.
Do this.
Don't do this.
but outside of that, 80% of the work is still getting done fa…”
Agarwal: Portkey routes 15 trillion tokens daily, up from 1B
“So I think we were probably doing a billion tokens a day a year back. Now we're doing 15 trillion.”
Agarwal: Existing AI components suffice to build better systems without new innovation
“I feel that today, even if all innovation were to stop, there is enough fuel in the AI space to see you can still continue to Pick up these Lego pieces and still keep building newer and better systems.”
Agarwal: The AI bubble is in valuations, not utility
“So the bubble might be on the valuations. The bubble is not on utility.”
Agarwal: Claude Opus 4.6 leads Portkey volume despite being the costliest model
“For the first time, we saw four, six Opus, which is the costliest model there is right now, is at the top of the charts in terms of number of tokens spent.”
Agarwal: 20% stock drops after AI announcements force legacy SaaS into agents
“ServiceNow and Salesforce and Workday and all of these companies are being pushed to innovate. Like in other cases, they're like, we have large go to market motions. There's a revenue that we can easily protect and you don't have to, but because they see these…”
Agarwal: Codex is better at writing code, but Claude leads in planning
“Everybody's still saying that Codex is a better model for code generation today, but people still use Claude to think, brainstorm, plan, and then once the plan is ready, it's like, okay, now Codex implemented. Codex is much better at writing code.”
Agarwal: Vertical AI survives because specialized niches aren't frontier labs' priority
“In their top three priorities, killing Harvey will not be their top three priorities. I mean, they're like, how do I make the next hundred billion in revenue? So, I mean, that is their thought process. So then Harvey can always be like, okay, then my top goal …”
Agarwal: Software is bifurcating into model labs and traffic control planes
“Almost the software world is getting divided into two. Either you can be an AI lab, which is the intelligence, you're building models, you're doing new stuff. Or you have control over this traffic so that you are doing the harness, application, ops, all of thi…”
Agarwal: AI coding tools are pushing enterprises to build rather than buy
“Everybody is now saying, let's build first instead of buying first.”
Agarwal: AI gateways manage material per-request costs unlike traditional API gateways
“Every API request is literally that has a dollar value to it. Like an Opus request with 10,000 tokens is probably 23 cents, and this is, you're making a thousand requests, which means this is 23 dollars worth of API requests that you've made today, or two 30 d…”
Agarwal: Gemini 2.5 Pro and Claude Opus have overtaken OpenAI models
“Our top two models used to be GPT-Foro, GPT-Five Mini, plots on it. This used to be a top three for a long period of time. Now our top three averages checking between was, is Gemini 2.5 pro, Opus 4.6, Sonnet.”
Agarwal: Gateway-based guardrails reduce latency versus application-level checks
“And again, you can decrease latency massively by building this on the gateway. Rather than building this within your application.”
Agarwal: Gateways produce the best LLM metrics without manual codebase instrumentation
“We're saying that the best LLM metrics can be produced directly on the gateway. Without every team having to instrument their own code bases to pick out these metrics.”
Agarwal: AI telemetry cannot standardize while underlying APIs change monthly
“Standards usually evolve when there's some amount of coherence and stability in an API. I think the APIs themselves change every month. So I'm not sure how there's going to be standardization that occurs.”