304 | Chat is dead... long live agents - 99.8% of tokens used by OpenAI are now agentic (Codex), Google stock down 7.2% on top researchers departure, AI is transforming healthcare, and more AI news for the week of June 26, 2026

**Isar Meitis** (0:00)
Hello, and welcome to a weekend news episode of the Leveraging AI Podcast, the podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business and advance your career. This is Isar Metis, your host, and we are going to cover four main topics today. One is breakthroughs in healthcare and AI, which I'm personally very excited about. We're going to talk about how agentic the AI world is becoming very, very quickly right in front of my eyes. We are going to talk about the talent warps and the exodus of top leading researchers from Gemini to other labs. And we're going to mention a few important releases that come from the major labs this week, not the big models that we expected. They will probably still come in the next few days, but there's still interesting things to share. And then we have a few other small things to talk about. So let's get started.
The first topic I want to cover today is the topic of Agentic AI and how dramatic the change have been in the past few months and how mainstream Agentic AI is right now compared to what it was, well, just a few months ago, definitely in the beginning of this year. So OpenAI internal data is now showing that by June, 2026 Codex, so their internal agentic tool, accounts for 99.8% of weekly output tokens at OpenAI.
Now, that's not a test, that's not a pilot, that is the full organization shift. And this is not just writing code. This includes legal, finance, recruiting, basically every major aspect of the company.
Most of the token production is done on Codex and not on a regular ChatGPT chat, meaning everybody in the company is using agentic AI to deliver outputs and basically nothing is just using old school ChatGPT chat. So let's dive a little deeper into the numbers and connect a few dots beyond just this mind blowing fact. First of all, the majority of code writing moved to Codex back in December of 2025, but legal, finance, recruiting and other departments are now using the majority of their usage as of April of 2026 on Codex as well versus the regular GPT chat token has surged from November 2025 to June 2026 on the research side 56H, 56 on consumer support, 32X, engineering 27X and legal 13X. That shows you two different things. One is that agentic AI drives significant work because otherwise some of these departments will not do it. Two is that for OpenAI, that is not associated with direct immediate cost. There is compute cost obviously that they're spending, but they're not paying a third party to use that compute. If you are going to do the same thing, if you're going to go all in on agentic AI in your company, you need to expect a huge surge in token usage. I can tell you as somebody who's working with several different companies, and some of them are large enterprises, this is the talk of the day, how to save costs and first of all, understand cost because it's not easy even on a single platform, even if you commit just to ChachiPT or to CoPilot or to Claude, if you just commit to one and many companies commit to a few, depending on departments or sections or needs, but even if you just commit to one, it is very difficult and really confusing to understand how the tokens are being used. But I'm sharing this with you so you understand if you are planning to go into the AI universe, this is what you need to expect, a huge surge in token usage. Now, a few additional interesting pieces of information that came out of this ChatGPT data. Long-Horizon Tax Adoption is the next topic. 80.6 percent of sampled individual users made at least one Codex request, estimated to exceed 30 minutes of human work. 70.2 percent exceeds one hour and 25.6 percent exceeding eight hours. So again, this is not eight hours of the AI working, this is eight hours of human work that is now done in a single task with a single task done by the AI in an agentic way.
Now, to put things in a bigger perspective, the really big number is that by June 2026, heavy users at the 99th percentile generated more than 60 hours of Codex agent turns per day across multiple parallel agents simultaneously. Now, I work in multiple agents in parallel all the time. I'm pretty sure, I don't cut even close to 60 hours in a single day. I'm probably over the 24-hour mark, even though I'm working a lot less than 24 hours.
So this is another thing that you need to pay attention to, the ability to run agents in parallel. So while you are working on one thing, they're doing something else and you're jumping back and forth between different tools and between different sessions in order to maximize your time, because you're the bottleneck in defining and in testing and in checking and guiding, you can run multiple of these in parallel and make the most out of these incredible capabilities.