2024
Praveen Akkiraju describes the end of 2024 as a seminal moment in model evolution, when a model introduced the concept of reasoning.
“the end of 2024 was, like, one of the most seminal moments in the e- in the evolution of models, right?”
Topic
Praveen Akkiraju
17 facts from 2 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2025
Praveen Akkiraju calls 2025 the year of agents because models advanced, including computer use and browser use agents.
“2025 was sort of the the the year of agents, and rightly so, because, uh, the models advanced.”
2026
Praveen Akkiraju cites a Goldman Sachs study saying enterprises are using a year's worth of AI budget in three months.
“enterprises are blowing through their token budgets a a year's worth of AI budget in three months. This is notion of token maxing”
2026
Praveen Akkiraju says open source frameworks like OpenClaw helped show in early 2026 that models can do general work, not only coding.
“open source frameworks like Open Claw to be able to use models to actually show us that work can be done.”
2026
Praveen Akkiraju says sophisticated enterprises have deployed over a thousand agents in production for various tasks.
“sophisticated enterprises today, uh, have deployed over a thousand agents in production for various different tasks, right?”
2026
Praveen Akkiraju says coding agents are estimated to generate about 3 billion dollars in revenue.
“it's estimated about 3 billion in revenue right now from just coding agents”
2026
Praveen Akkiraju says customer support agents generate close to 500 million dollars in revenue.
“customer support agents, I think, is close to about 500 million, uh, you know, in terms of revenue generated just for that for that sort of use case.”
2026
Praveen Akkiraju says OpenClaw was the first open source personal agent framework that worked, because it could understand and remember work and feed context back to the model.
“open claw was the first kind of open source framework that actually started to work because, uh, it was able to bring, um, the the appropriate sort of ability to understand the work”
2026
Praveen Akkiraju says enterprise budgets are shifting from per-seat SaaS pricing toward agentic tools, partly as excess seats are reconciled against usage.
“we clearly are seeing budget shifting in in enterprises, right, from traditional SaaS, um, you know, per seat pricing to, uh, to more sort of agentic tools.”
2026
Praveen Akkiraju says enterprises lean toward buying standardized front-end agent tools such as customer support.
“a lot of, like, front end customer facing tools where the workflow is perhaps a little bit more standardized, right? Um, you, you are, y- you know, um, enterprises are leaning towards a buy kind of decision.”
2026
Praveen Akkiraju says Insight Partners' pricing team has considered pricing agents as a fractional full-time employee, though this is still experimental.
“perhaps you think of this as a fractional FTE right um or a head fractional headcount”
Undated
Praveen Akkiraju says what changed in this generation of AI is that powerful models can be accessed through an API call.
“What changed, I think, in this generation is that today, really powerful, complex, uh, AI models are available on the other end of an API call, right?”
Undated
Praveen Akkiraju says he took a course in neural networks as a graduate student, noting AI has been around for a long time.
“I did a course in neural networks back in my, you know, grad student days.”
Undated
Praveen Akkiraju describes large language models as stateless machines that compress the world's information into weights and do not remember prior work.
“you think of large language models as these kind of stateless, um, stateless machines, right? In the sense that they absorb all the information you give them”
Undated
Praveen Akkiraju cites Claude Code as an application with a well-defined harness of tools, memory and coding guardrails.
“an application like, um, you know, cloud code, right, has a very well-defined harness that gives us the gives it the appropriate tools”
Undated
Praveen Akkiraju says developers use temporary sandboxes to run and check agent-written code against guardrails before pushing it to production.
“developers are spinning up these sort of ephemeral sandboxes to first kind of make sure that the the code is that the AI agent has written is sandboxed, executed”
Undated
Praveen Akkiraju says that in multi-agent systems one agent's error can feed into another agent and compound.
“error is compound. So, if you have, uh, uh, a large language model, you know, you have a multi-agent architecture, and an agent makes an error and feeds it into another agent”
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