A Primer on AI Agents and How to Get Started
As AI agents revolutionize enterprises, predictions for 2025 suggest a trillion-dollar market. This article demystifies AI agents, contrasting them with AI assistants, and offers practical guidance for their deployment. With the right use cases, prioritization and compliance, AI agents can significantly enhance productivity and innovation.
As 2024 came to a close, the AI world was abuzz with talk about AI agents and their game-changing potential for enterprises. AI leaders were making audacious predictions for 2025, practitioners were experimenting with the latest frameworks, and frontier labs and technology startups were building platforms and frameworks to build and deploy AI agents.
Satya Nadella, CEO of Microsoft, boldly argued that the rise of agentic AI could kill the SaaS model entirely. Mark Benioff changed the name of his annual conference from "Dreamforce" to "Agentforce," saying the potential market for AI agents is not in the billions of dollars but in the trillions. In addition, the frontier AI labs all began publishing their thoughts on AI agents and started deploying software capabilities to help consumers and organizations start building their own agentic solutions. See, for example:
OpenAI
Anthropic
With predictions of a $217B market size for AI agents by 2035, enterprises need practical guidance on separating hype from reality. This article attempts to alleviate some of that confusion and provide a practical perspective about what agents are and when is the right time to use them.
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