According to the Get Ready For Agents report from July 2026, the artificial intelligence market is undergoing a fundamental shift: 65% of all new AI job openings are now directly related to the development or operation of autonomous agents.
What Happened
More than 2,000 positions focused on agentic technologies have opened in the market. Key requirements for specialists have become skills in Python, Cloud, RAG, and the MCP protocol. However, only 23% of organizations are currently successfully scaling agentic solutions, facing barriers in cost and management.
Context
A transition is being observed from developing base LLMs to building complex infrastructure for autonomous systems. The high concentration of job openings in offices (91%) highlights the growing demand for secure local or hybrid infrastructure to ensure data safety when agents are operating.
Why It Matters for the Industry
The industry is shifting its focus from 'LLM-only' approaches to Agentic workflows. This is stimulating the development of new segments, such as Agent Ops, and the standardization of interaction protocols (e.g., MCP), as well as creating demand for monitoring and evaluation (evals) tools for agentic systems.
Why It Matters for Users
For ML and development specialists, it is critical to master agent lifecycle management and integration via MCP, as these skills are becoming the industry standard. In the near future, increased competition is expected for experts capable of combining RAG and agent interaction protocols.
What Remains Unknown / Limitations
There is a gap between business interest in agents and their actual implementation; many companies are not yet able to overcome the complexities of scaling and controlling the autonomous actions of systems.
Sources
Author
Look at AI, Editorial Team