Why Agentic AI is About to Change Everything | The AI Briefing
The AI Briefing Episode 6 November 7, 2025 · 5:12

Why Agentic AI is About to Change Everything

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What you'll learn

  • The shift is from generative AI that is reactive and waits for step-by-step instructions (ChatGPT, Claude, Gemini) to agentic AI defined by two capabilities: agency (it can plan, adapt and make decisions toward a goal) and action (it executes tasks rather than just suggesting them).

  • This is not a future promise. Agentic browsers already exist: Perplexity's Comet, Google DeepMind's Mariner and OpenAI's ChatGPT agent (Operator) can complete whole tasks such as booking a flight or comparing prices and buying, inside a single conversation instead of juggling ten tabs.

  • Tom lays out three business implications: employee expectations will skyrocket once people run their personal lives through one agentic interface; human-AI workflows must be redesigned so agents absorb low-value busy work; and your customers now include AI agents making purchasing decisions (OpenAI's instant checkout lets people buy without leaving ChatGPT).

  • The leadership trap is bolting agentic AI onto existing processes, often ones you personally designed. The right question is not 'where do I add an agent?' but 'what outcome am I trying to achieve, and how should this workflow be redesigned with agents doing the heavy lifting?'

By the end of this episode you should be able to (a) explain the difference between reactive generative AI and agentic AI, and (b) reframe an existing process as an outcome to be redesigned around agents rather than a workflow to bolt an agent onto.

In this episode

  1. What agentic AI actually is: agency plus action
  2. Agentic browsers you can already use today
  3. How reset consumer expectations bleed into the workplace
  4. Three implications: employees, workflows and AI customers
  5. Start small, but redesign the process instead of bolting on

Agentic AI is the next major evolution in artificial intelligence—and it's going to fundamentally change how we work, shop, and interact with technology. Unlike the AI tools we're using today that wait for our instructions, agentic AI can plan, make decisions, and take action autonomously to achieve our goals. In this video, I break down what agentic AI really means, show you real examples you can try today, and explain the three massive implications for businesses that can't afford to ignore this shift.

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Transcript

Hey everyone, welcome to the AI Briefing. Short snippets of AI news and insight to cut through the noise. We need to talk about something that's about to completely transform how we work and interact with technology, and it's called agentic AI. And if you haven't heard of it yet, you will soon. This isn't just another tech buzzword.

This is the next major evolution of artificial intelligence, and businesses that ignore it are gonna get left behind. So let's dive in. So first, what even is agentic AI? Well, think about the AI tools you're probably using right now. ChatGPT, Claude, Gemini.

These are all generative AI tools. They're amazing at what they do, but here's the thing. They're reactive. You have to tell them exactly what to do step by step. They're like really s-- they're like a really smart assistant who sits there waiting for you to give them instructions.

Now, agentic AI is different. It has two game-changing capabilities: agency and action. With agency, it can plan, adapt, and make decisions toward a goal without you holding its hand through every step. And with action, it doesn't just suggest what to do, it actually executes and gets things done. So we're talking about a fundamental shift from AI that waits to be told what to do, to AI that proactively works towards your goals.

And that, of course, is huge. And this isn't some far off future thing. You can already experience it right now. There are already agentic browsers running. Perplexity's Comet, Google's DeepMind Mariner, and OpenAI just released their GPT...

ChatGPT agent, which can be used to call Operator. These aren't just search engines that give you information. They're collaborators that complete entire tasks for, for you from start to finish. Book a flight? Done.

Research projects, compare prices, and make a purchase all within one conversation. No more jumping between 10 different tabs and apps. And here's what's happening. Once people experience the seamless and single entry point experience in their personal lives, their expectations are gonna be completely reset. They're looking-- They're going to look at clunky multi-app workflows at their jobs and think, "Why am I tolerating this?

" And so this brings us to three massive implications for businesses. First, employee expectations are about to skyrocket. When your employees can manage their entire personal lives through one agentic interface while sitting at their desk, how long do you think they'll put up with juggling five different corporate applications just to complete a single task? Companies need to start creating single stream work experiences now, or they're gonna have serious retention problems. Second, human AI workflows need to be redesigned.

Now, let's be real. A lot of what we do at work now is low value busy work. It's necessary, but it's not where we add the most value. Agentic AI can take over those tasks, freeing humans to focus on high value strategic work. But this requires companies to fundamentally rethink their organizational structures, job roles, and even leadership philosophies.

That's a heavy lift. The payoff is enormous. Third, your customers aren't just humans anymore. Companies need to expand their definition of customers to include AI agents, because increasingly, purchasing decisions are gonna be made by agents on behalf of humans. OpenAI already introduced instant checkout, where you can buy products without ever leaving ChatGPT.

If your business isn't optimized for AI, AI agents to find you, uh, understand your offerings, and complete transactions, you're gonna be invisible in the channels where decisions are actually happening. Now, I want to be clear. Agentic AI isn't perfect yet. The tools can be uneven, and they make mistakes. But that's not a reason to wait.

It's a reason to start experimenting now. Start small. Identify where agents can deliver value today, and track how the technology evolves. The biggest challenge to leaders? Letting go of existing processes, especially processes that might have personally-- they might have personally designed.

The instinct is just to bolt agentic AI onto old workflows, but that is also a mistake. The right question is: What outcome am I trying to achieve, and how should this workflow be re-redesigned with AI agents doing the heavy lifting? Bottom line, agentic AI isn't just another tool in your tech stack. It's changing who your customers are and how your employees work, and where you should be placing your strategic bets. The smartest leaders are already treating AI as a teammate, not just a technology.

And the question is: Are you ready to make that shift? Let me know in the comments. Have you tried any agentic AI tools yet? What was your experience? And if you found this helpful, hit the like button and subscribe for more insights in the future of work and technology.

We'll catch you in the next one. [upbeat music] Why hire when you can partner? Concept Cloud's leading engineers build your startup's prototype without the overhead. Launch faster. Conceptcloud.

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