Ai-Comparison

Generative AI vs Agentic AI: The Difference That Changes Everything Companies are spending $30,000 to $150,000 on agentic AI systems for problems that a $50/month generative AI API subscription would have solved. The reverse happens too: teams settle for a ChatGPT wrapper on a process that runs 500 times a day with 12 external system dependencies – and wonder why it never scales. The gap between generative AI and agentic AI is specific and technical. It is also consistently misrepresented. According to Gartner, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024 – but a significant portion of current “agentic AI” pitches are generative AI with a better interface. Buying the wrong category costs you either budget or months of engineering time. ...

The AI landscape has shifted dramatically since 2022, and two terms dominate enterprise conversations: agentic AI and generative AI. While they’re often used interchangeably, they represent fundamentally distinct approaches to artificial intelligence - each with unique capabilities, use cases, and business implications. Agentic AI refers to autonomous systems that can take actions, make decisions, and complete complex tasks with minimal human intervention. Generative AI, on the other hand, focuses on creating new content - text, images, code, or media - based on learned patterns from training data. ...