I was sent the above notification and asked the following question: What are the differences between Generative AI, Agentic AI, and Autonomous AI Agents? I will bypass the first one, Generative AI, to focus on the latter two.
What immediately came to mind was VHS versus Betamax. Anyone post-Generation X will likely be scratching their head at this point. So, to avoid any potential bias, I asked ChatGPT two questions:
What was the difference between VHS and Beta?
What is the difference between Autonomous AI Agents and Agentic AI?
VHS Versus Betamax
Betamax remained in use in professional video production for several more years due to its higher quality.
VHS dominated home video until the rise of DVDs in the late 1990s and early 2000s.
The VHS vs. Betamax rivalry is now a classic example of how technical superiority (Beta) doesn’t always win against better marketing, partnerships, and consumer-focused features (VHS).
Agentic AI Versus Autonomous AI Agent
The two concepts often overlap:
An autonomous AI agent can also be agentic if it is designed to pursue goals with intentionality and planning.
However, agentic agents don’t necessarily have to be autonomous. For example, a tool designed with agency might still rely on human inputs or decisions at various stages.
Conclusion
Autonomous AI agents are focused on independence and operational autonomy.
Agentic agents highlight intentionality and purposeful action, which may or may not involve full autonomy.
My Takeaway
I would say that the one thing that matters most is not how Agentic AI and Autonomous AI Agents are different.
The big takeaway, and the only one that matters, is that without using an Agent-based development and implementation model, neither will deliver the expected and needed results. Yes, they can do certain tasks in specific functional areas, but let me ask you these questions:
How many of you still use a VHS machine daily in your home? Do you have any thoughts on using Betamax?
STOP following the technology and start looking at your role and responsibility in leveraging technology to improve solid processes and policies rather than define them. More to the point, stop using a technology-led equation-based model and start using an agent-based model supported by a sound AI operating system.
Procurement Insights
GEP’s Whitepaper Claims About Autonomous AI Agents are (fill in the blank)
Posted on November 20, 2024
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I was sent the above notification and asked the following question: What are the differences between Generative AI, Agentic AI, and Autonomous AI Agents? I will bypass the first one, Generative AI, to focus on the latter two.
What immediately came to mind was VHS versus Betamax. Anyone post-Generation X will likely be scratching their head at this point. So, to avoid any potential bias, I asked ChatGPT two questions:
VHS Versus Betamax
The VHS vs. Betamax rivalry is now a classic example of how technical superiority (Beta) doesn’t always win against better marketing, partnerships, and consumer-focused features (VHS).
Agentic AI Versus Autonomous AI Agent
The two concepts often overlap:
Conclusion
My Takeaway
I would say that the one thing that matters most is not how Agentic AI and Autonomous AI Agents are different.
The big takeaway, and the only one that matters, is that without using an Agent-based development and implementation model, neither will deliver the expected and needed results. Yes, they can do certain tasks in specific functional areas, but let me ask you these questions:
How many of you still use a VHS machine daily in your home? Do you have any thoughts on using Betamax?
STOP following the technology and start looking at your role and responsibility in leveraging technology to improve solid processes and policies rather than define them. More to the point, stop using a technology-led equation-based model and start using an agent-based model supported by a sound AI operating system.
30
Agent-Based Modeling in 13 Minutes
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