AI, particularly in its latest forms like Agentic AI, is moving toward full automation of tasks, significantly impacting talented individuals. This technology includes advanced features such as Model Context Protocol (MCP) and Agent Communication Protocol (ACP), which enhance the capabilities of large language models (LLMs). MCP standardizes the definition and implementation of tools, facilitating inter-agent communication and resource management. These developments indicate that AI can perform actions that traditionally required human intelligence, raising concerns about job displacement among skilled workers.
Agentic AI integrates advanced tools and workflows, allowing LLMs to perform tasks autonomously through implementation of mechanisms such as MCP and ACP.
Model Context Protocol (MCP) provides a standardized framework for defining agentic tools and resources, ensuring clear implementation and backend structure for agents.
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