AI in 10

AI just became your coworker — and your boss

Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.

0:00 | 6:52

Text us your thoughts!

Workplace AI agents are no longer a future-tense concept — they are being deployed inside real companies today, and they are reshaping who gets to keep their job and who does not. OpenAI, Microsoft, and Google are all moving fast on this, and most workers have no idea how close it already is. OpenAI's operator-level tools let businesses deploy AI that sends emails, updates records, and completes workflows end to end without a human approving every step. Microsoft and Google are embedding the same capabilities into tools hundreds of millions of people already use daily. The forward implication is not mass overnight layoffs — it is quiet compounding, where teams of twelve do the work of twenty and managers stop hiring coordinators they no longer need. Here is what most coverage misses — the people who thrive are not the ones who out-code the AI, they are the ones who learn to manage its output. Full breakdown in today's episode. New AI news every weekday — subscribe so you do not miss tomorrow's story.

Referenced Links:
Reuters — OpenAI Workplace Agent Rollout
Microsoft Copilot for Microsoft 365
Google Workspace AI Features
Salesforce Agentforce

Want to go deeper with AI? A community of professionals is learning AI together right now at aihammock.com — show notes, links, tools, and real conversations about how to actually use AI in your life.

SPEAKER_00

Welcome to AI Inten. I'm Chuck Getchell, and every day I break down the biggest AI story in just 10 minutes. What it is, why it matters, and how you can actually use it. A company just handed its workers an AI boss and told them to be okay with it. I'm Chuck Getchell. This is AI Inten. What happened? Why it matters, what you can do with it. Let's go. Let's talk about something that is quietly happening inside thousands of companies right now, not in the future, not in some lab somewhere, right now, in ordinary offices, on ordinary Tuesday mornings, AI is taking over pieces of jobs that used to belong entirely to people. And the story I want to dig into today is the rise of what the tech world is calling workplace AI agents. Specifically, what it means when your employer doesn't just give you an AI tool, but gives the AI a role on your team. Here's the core idea. For the past few years, AI at work mostly looked like this. You open a chat window, you type a question, you get an answer, you decide what to do with it. You were still the driver. The AI was basically a really fast research assistant who never complained about the coffee. But that model is changing fast. The new generation of workplace AI isn't waiting to be asked. It's being assigned tasks, it monitors inboxes, it drafts responses, it routes customer requests, it flags issues before a human even sees them, it schedules, prioritizes, and follows up all on its own. This is what people mean when they say AI agents. An agent isn't just a tool you use. An agent is something that acts on your behalf or your company's behalf with minimal hand holding. Think of it this way: old AI was like having a GPS, you still drove the car, you just had better directions. New AI agents are more like having a copilot who can actually grab the wheel, which is either thrilling or terrifying depending on how much you trust co-pilots. OpenAI has been rolling out exactly this kind of capability for enterprise customers. Their operator-level tools allow businesses to deploy AI that doesn't just answer questions but takes actions inside software systems, sending emails, updating records, moving files, completing workflows end-to-end without a human approving every step, and they are not alone. Microsoft is embedding similar agent capabilities directly into the office tools that hundreds of millions of people already use. Google is doing the same inside workspace. Salesforce, ServiceNow, SAP, the companies that run the back end of most large businesses, all racing to wire AI agents into their platforms. So here is the honest picture. If you work in a role that involves a lot of repetitive decision making, if your job is mostly about routing, scheduling, triaging, summarizing, or responding, you are working in exactly the kind of environment these agents are being built to operate in. That is not a scare tactic. It is just geography. You need to know the terrain. Now let's make this personal because I think a lot of people hear AI is doing jobs and they imagine a robot rolling through the door and literally taking someone's desk. That's not how this works. What actually happens is quieter and in some ways more interesting. A team of 12 people suddenly does the work of 20. A manager realizes she doesn't need three coordinators anymore because the AI agent handles coordination. A customer service department cuts response time from hours to seconds and realizes they need fewer people to hit the same metrics. It doesn't happen overnight. But it compounds, and the people who survive it, and honestly the people who thrive because of it are the ones who figured out early how to work alongside the agent instead of competing with it. Here's something I genuinely believe from having built a company on AI tools. The skill that matters most right now is not knowing how to code, it is not knowing how to build AI, it is knowing how to manage AI output. Can you look at what the agent produced and know if it is good? Can you catch the error it made on line four of the summary? Can you prompt it better so it gives you something more useful the next time? Can you make judgment calls that the AI cannot make because it lacks context, relationship, or common sense? Those are human skills. And right now, they are worth a lot. Think of yourself less as someone who does a job and more as someone who oversees a very capable, very fast, occasionally overconfident assistant who once tried to schedule a meeting during a national holiday because nobody told it about national holidays. True story. AI agents are impressive. They are also literal, and literal has limits. So here is your one actionable thing today. And this one is genuinely simple. Pick one recurring task in your work week, just one. Something you do on autopilot, summarizing a report, drafting a weekly update email, pulling together notes from meetings, answering the same five questions your customers or colleagues ask every week. Now go to ChatGPT, Claude, or Gemini, whichever one you have access to, and try to get the AI to do a first draft of that task. Don't worry about it being perfect. Don't worry about it being exactly right. Just see how close it gets. Because here's what happens when you do this: you stop thinking of AI as this big abstract force that is happening to you from the outside. You start thinking of it as something you are using, directing, and improving. You go from passenger to driver. And that mental shift is worth more than any certification, any course, any book. Although, and I do mean this genuinely, if you want to go deeper than one experiment, our applied AI certification at AI Hammock is built exactly for this. It is a full credential program for non-technical people. Real skills, real use cases, something you can actually put on a resume. Because knowing how to work with AI is quickly becoming the difference between getting the job and not. Now, a word on the bigger picture. There are real questions here that nobody has fully answered yet. Who is responsible when an AI agent makes a bad decision? If it sends the wrong email, books the wrong vendor, flags the wrong employee. Those are legal and ethical questions that companies, courts, and regulators are going to be working through for years. As I always say, I am not a lawyer, doctor, or financial advisor. If AI agents are starting to affect your employment or your business contracts, that is absolutely worth a conversation with someone who is an expert in your specific situation. But my honest take, waiting for institutions to sort all of this out before you engage with AI is a little like waiting for every traffic law to be finalized before you learn how to drive. The road is already open, people are already moving. The ones learning now have a real head start. Here's the bottom line on all of this AI agents are not a rumor. They are not a prototype. They are being deployed inside real companies, managing real workflows, touching real people's jobs right now. The question is not whether this is happening. The question is whether you are the person who understands it or the person it happens to. And the gap between those two people is smaller than you think. It is one experiment, one prompt, one afternoon of curiosity away from closing. You do not need to be a tech person to stay ahead of this. You just need to be a curious person, and the fact that you are here tells me you already are. That's today's AI Inten. If you want to go deeper and learn AI with a community of people just like you, join us at aihammock.com. I'll see you tomorrow, my friends.