Agents Are the New Apps: A Comprehensive Look at AI Agents
Olivier Gomez (????)
Automation & AI Expert & Advisor | [email protected] | Global B2B Influencer & KOL | Speaker | Author | Delivered over $100M P&L Impact to clients
“Agents are the new apps, and we expect someday to be thousands of agents available—maybe even more AI agents than there are people in the world. For the first time, this will be an industry of skills, where agents sit on top of tools.”
If you’ve been hearing a lot about AI agents lately, you’re not alone. The world of Artificial Intelligence (AI) is exploding, and more specifically, the concept of AI agents is turning heads for its potential to transform how we live and work. But what exactly is an AI agent? Let’s break it down in the simplest way possible and then dive deeper into why these agents matter so much.
1. Explaining AI Agents Like You’re Five
“Maybe you’ve checked out some other videos that got way too technical, and you thought, ‘Why don’t you explain this to me like I’m five?’ Well, guess what: that’s exactly what I’m going to do. I’m going to give you the most straightforward, real-world explanation of what an AI agent is.”
1.1 The Raw Brainpower of AI
AI stands for Artificial Intelligence, which you can think of as raw brainpower—the ability to learn, reason, and make decisions based on data. By itself, this “raw brainpower” is impressive but not necessarily useful until you give it a specific purpose.
1.2 Enter the AI Agent
“Think of AI as the genius with a million ideas. The AI agent is the one who gets stuff done.”
AI on its own can generate insights or predictions, but something needs to harness that potential. That’s where AI agents come in. They take the intelligence of AI and turn it into action. Whether it’s answering your questions, automating your work, or handling your to-do list, an AI agent is like a personal assistant that can interpret and execute tasks using AI’s smarts.
2. The Three Steps: Understand, Think, and Act
“While AI is all about smarts, an AI agent is the practical, hands-on version. It’s the difference between knowing how to do something and doing it.”
Let’s outline the basic workflow of an AI agent in three simple steps:
Real-World Example
If you tell an AI agent, “Schedule a meeting with my team at 2 PM,” the agent first interprets your request (understand), checks your calendar and your team’s availability (think), and finally sends out invites or confirms the slot (act).
3. How AI Agents Work Behind the Scenes
“How do they work? Imagine your parents are heading out for the evening and leaving a babysitter in charge. They give them instructions—what time you need to go to bed, what you can have for a snack, and what to do in an emergency.”
This babysitter analogy helps explain that AI agents come trained with guidelines or instructions—much like a babysitter is taught how to handle different situations. Developers provide data and rules so the agent knows:
3.1 The Interface and the Workflow
“When we talk about what an AI agent looks like, it’s helpful to think of it as a combination of two things: an interface and a workflow.”
Over time, these agents can learn from interactions, improving their answers or speeding up certain tasks.
4. Why AI Agents Matter
“I hope this video helped you learn the basics of AI in a way that’s easy to understand… AI agents are set to revolutionize how work gets done, and the impact will be massive.”
AI agents are more than just a novelty; they have the potential to shift dramatically how businesses and individuals handle day-to-day tasks. Let’s explore why.
4.1 An Industry of Skills
The notion that “agents are the new apps” highlights the possibility that we may see thousands, if not millions, of specialized AI agents. Each agent could focus on a specific “skill” or “job”—from booking travel to analyzing financial data.
4.2 Impact on Local Businesses and Agencies
4.3 Scalability and Efficiency
One of the most exciting aspects of AI agents is how they can scale:
According to a 2023 study by Gartner, AI-driven automation can save businesses up to 30% of operating costs in customer service alone.
5. The Future of AI Agents: A New Ecosystem
“We’re going to live in a world with hundreds of millions or billions of different AI agents. Probably more AI agents than there are people in the world.”
This statement might sound bold, but consider how the digital revolution has already saturated our lives with apps and connected devices. AI agents could follow a similar trajectory, each specializing in different tasks.
5.1 Convergence With Other Technologies
5.2 Ethics and Governance
As AI agents become more prevalent, ethical and governance issues will come into play:
Regulatory bodies worldwide are actively discussing these topics. The EU AI Act, for instance, is paving the way for laws requiring transparency and risk assessments for AI tools.
6. Putting It All Together
“These AI agents are going to be everywhere soon, making life easier in ways we’re just starting to imagine.”
Let’s summarize the key points:
7. Why Now Is the Time to Get On Board
“I hope this video helped you learn the basics of AI… If you want to learn more and see how AI is helping businesses with things like customer service, sales, and project planning, check out how AI agents can revolutionize your workflow.”
As we stand on the cusp of an AI-driven revolution, now is the best time for businesses—and individuals—to explore how AI agents can transform everyday tasks.
Conclusion
To echo the opening sentiment: “Agents are the new apps.” We are entering an era where AI agents will proliferate, possibly exceeding the number of humans on the planet. From explaining topics like you’re five years old to efficiently running entire business workflows, AI agents promise to reshape our professional and personal landscapes.
The takeaway is clear: Don’t just watch from the sidelines. Embrace AI agents and start experimenting with how they can make your life easier, your business more efficient, and your work more impactful. The technology is here, and it’s only getting better.
Inspired from: https://youtu.be/wazHMMaiDEA?si=RCYpgbEBXM9gBvF9
Quantum Ecosystem Builder I Deep Tech Diplomate I Digital Ethicist I SDG Advocate I Digital Strategist I Futurist I IGlobalist I InnovatorI Board Advisor I Investor I Keynote Speaker I Author I Editor I Media/TV Partner
2 天前Thank you for sharing and the kind mention Olivier Gomez (????)
CEO & Co-Founder @ Blue Bridge People | Trusted Talent Advisor | Disruptor in Workforce Solutions space | “The Man in the Arena” |
2 天前Wonderful explanation!! Companies that find ways to empower thier employees with agents will have a major competitive advantage in today’s landscape.
Top 100 Thought Leader Thinkers360??Board Director??Transformation??Ethics??Technology ??Innovation??Governance Risk Compliance ??VR AR AI??Metaverse??LinkedIn Top Voice in VR (May-Aug 24)??Speaker
3 天前Olivier Gomez (????) #AI #Agents are doers, makers, they do not only think for you and remind you a lot of things you simply cannot remember because of distancing yourself and being focused on multiple other topics, they take in actions and give back out other actions: Action In, Action Out!
I’ve probably automated for your favorite healthcare provider.
3 天前I love the explanation of “Understand, Think & Act for AI Agents.” People always had a love-hate relationship with traditional process automation because it really was only able to mindlessly “Act”. Being able to do more than just “Act”, makes Agents much more valuable and impactful to organizations. Awesome approach in simplifying this concept Olivier Gomez (????)
Student
4 天前Absolutely love this perspective! The shift from AI as mere assistants to action-oriented agents is a game-changer. It’s fascinating to see how these agents are not just answering questions but actively driving workflows and decision-making processes. For businesses looking to stay ahead, platforms like Chat Data (https://www.chat-data.com/) are already enabling this transformation. Their AI Actions feature, for instance, lets chatbots perform tasks like scheduling, lead generation, and even API-driven actions—essentially turning them into intelligent agents that do rather than just say. This is definitely the future, and it’s exciting to see how quickly it’s becoming a reality! ??