Priya: An AI that can hire and manage its own team of sub-AIs to get a job done.
Theo: This is Theo.
Priya: And I'm Priya.
Theo: And this is Money Daily for Friday, October 9th, 2026.
Priya: We've got three stories about your money, your job, and the robots coming for both.
Theo: On the show today: Google is teaching its AI to be the boss, delegating tasks across all your business apps.
Priya: Plus, fired OpenAI safety researchers are sounding the alarm about a 'chilling effect' inside the company.
Theo: And we'll dig into a new report suggesting OpenAI's revenue might be a lot smaller than we were led to believe.
Theo: So, Google is bringing some serious upgrades to its AI, Gemini, starting with its business customers.
Priya: They're calling it 'agentic AI,' which sounds like marketing-speak for 'it does stuff on its own now.'
Theo: It's way more than that. Instead of just answering a prompt, the new Gemini can understand a goal, create a plan, and then execute it across multiple applications.
Priya: So instead of asking it to write a marketing email, you can ask it to run the marketing campaign?
Theo: Exactly. It can analyze sales data from one system, find the top customers, draft personalized outreach, and then use another app to send it... all by itself.
Priya: And it gets its own 'team,' right? That's the part that got me. It can delegate work to specialized sub-agents.
Theo: Right! It's like an AI project manager with an AI team. It can use different models for different tasks—one for analysis, one for creative, and so on.
Priya: Who pays for the sub-agents? Do they get little AI salaries? This sounds complicated and expensive.
Theo: [laughs] It's an enterprise service, so I assume it's one flat, probably enormous, fee. But think of the productivity gains!
Priya: I'm thinking of the human project managers who spend their days coordinating between those very same apps. This isn't automating a task, Theo, it's automating a career.
Theo: I see it as a tool that frees them up for higher-level strategy, not a replacement.
Priya: So, the takeaway is, if your job is being the human glue between different software systems... you've got a powerful new competitor.
Priya: Alright, let's shift to OpenAI, and what happens when the people paid to worry about AI get fired for... well, worrying about it.
Theo: You're talking about the three former safety researchers who were dismissed a few months ago.
Priya: The very same. OpenAI claimed they mishandled sensitive info, but the researchers just published an open letter disputing that entirely. They say they were pushed out.
Theo: Pushed out for what?
Priya: For raising internal concerns that the company was prioritizing speed and new features over safety. Basically, for doing their jobs too well.
Theo: Wow. And now they're worried this will have a 'chilling effect' on others.
Priya: Exactly. If you see the safety team get fired after raising alarms, are you going to raise an alarm? Or just keep your head down and collect your paycheck?
Theo: That's a terrifying thought at a company building something this powerful. You need those internal checks.
Priya: You'd think. It's the classic tech mantra of 'move fast and break things,' but when the 'thing' you might break is the entire global information ecosystem, maybe move a little less fast?
Theo: The counter-argument is that if they slow down, a less scrupulous competitor might speed ahead and release something even more dangerous.
Priya: The bottom line is, the guardrails at the world's leading AI company may be getting weaker just as the technology gets stronger. And we're all just supposed to trust them.
Theo: And still on OpenAI, it seems the hype train might have gotten a little ahead of the money train.
Priya: A little? [laughs] Not long ago, reports were flying that OpenAI's annualized revenue was a mind-boggling seventy billion dollars.
Theo: It was an astronomical number. But a new report now claims the actual figure is significantly lower.
Priya: How much lower are we talking?
Theo: The new projection is around fifty billion.
Priya: So... twenty billion dollars less. That's not a rounding error, Theo. That's the entire GDP of a small country.
Theo: Hold on, let's keep perspective. 'Only' fifty billion in revenue is still one of the most incredible growth stories in history for a company this young.
Priya: It's not a failure, but it is a massive correction. It shows how much of the AI narrative is driven by speculation and hype, not hard numbers. The story got ahead of reality.
Theo: That's fair. The valuation has been fueled by this idea that AI is an infinite money printer. Maybe this is a sign that growth, while still spectacular, is normalizing.
Priya: For anyone watching, investor or not, it's a reminder to be skeptical of those huge headline numbers. Hype inflates everything, and the truth is usually somewhere in the middle.
Theo: Alright, let's do a quick recap.
Priya: Google is building AI that can manage other AIs, potentially automating entire office roles.
Theo: Former OpenAI safety researchers claim they were fired for raising concerns, creating a 'chilling effect' on AI safety.
Priya: And OpenAI's revenue may be twenty billion dollars less than the hype suggested.
Theo: Before we go, speaking of all these AI bugs and safety issues, a quick bit of tech history for you.
Priya: Let's hear it.
Theo: The first actual computer 'bug' was found in 1947 by Grace Hopper's team. It was a literal moth trapped in a relay of the Harvard Mark II computer, causing it to malfunction. They had to physically 'debug' the machine.
Priya: [laughs] If only today's AI problems could be solved with a pair of tweezers.
Theo: That's our show! Thanks for listening to Money Daily.
Priya: We'll be back on Monday. Try not to get delegated away by an AI manager before then.
This show is made with AI: the hosts’ voices are synthetic and the scripts are AI-assisted. Every story links to its original source.