You’ve probably heard of ChatGPT, that amazing AI that can write poems and answer your questions. But buckle up, because things are about to get even more exciting. Enter Agentic AI, the next big thing in artificial intelligence.
This new approach transcends task-based generative AI by being goal-oriented, problem-solving, and capable of autonomous action without human intervention. It empowers developers with “superpowers” to build higher-quality applications faster, allowing focus on critical and differentiating aspects of work. We talk about this in the latest episode of the SMC Journal Podcast. Scott Moore interviews Scott Hebner of SiliconAngle.
What is Agentic AI?
Instead of just chatting, Agentic AI actually does stuff. It’s like having a super-powered digital teammate on your side. This isn’t your grandma’s AI; we’re talking about AI that can work independently, set goals, and achieve them. It can learn and grow over time, and it can even make smart decisions on its own. However, right now in early 2025, it’s already becoming an overused and least understood concept. Let’s better define it.
There are three main components:
- Makes its own choices: Instead of just following orders, a true Agentic AI can think for itself, weigh the pros and cons, and decide the best course of action within its limits. It’s more like a helpful co-worker than a simple tool.
- Has its own goals: Agentic AI isn’t passive. It actively works towards its own objectives, even without constant instructions. It’s proactive and driven.
- Understands the big picture: Real Agentic AI isn’t clueless. It knows its surroundings, what it can and can’t do, and how it fits into the overall system. It can adjust its actions based on the situation and learn from its experiences.
The Potential of Agentic AI: Transforming Industries
Agentic AI can revolutionize customer support by handling inquiries, solving problems, and even predicting your needs. It can optimize supply chains, predict demand, and keep things moving at lightning speed. In healthcare, Agentic AI can assist with diagnoses, recommend treatments, and personalize patient care. It can also help in finance by detecting fraud, managing investments, and providing personalized financial advice.
The Challenges of Agentic AI
Like any powerful technology, Agentic AI comes with its own set of challenges. Job displacement is a valid concern, and we need to think carefully about how to prepare for a future with more automation. Ethical considerations are crucial. How do we make sure AI makes fair and unbiased decisions? We also need to address privacy and security concerns to protect sensitive information.
Navigating the Future of Agentic AI
The key is to develop and use Agentic AI responsibly. We need to create clear rules and regulations to ensure AI is developed and used safely and ethically. It’s important to keep humans in the loop to ensure things stay on track. We also need to make AI transparent so we can trust it and hold it accountable. Finally, we need to prepare for the future of work by equipping people with the skills they need to thrive in a world with more and more AI.
The Future of Work with Agentic AI
Agentic AI has the potential to revolutionize the world. By embracing this technology responsibly, we can create a future that’s more efficient, innovative, and equitable for everyone.
Check out this other episode about AI.
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