"Setting up AI systems requires a large-scale approach, meaning that many isolated pilots do not survive the transition to production. But in the background, an agent breakthrough has already taken place, as figures from new Databricks research show. After GenAI and agentic AI in previous years, the buzzword for 2026 could well be 'multi-agentic' - and for good reason. Linking AI tools has proven to be a critical step in the technology's maturation."
"Databricks sees in the use of its own Data Intelligence Platform that organizations are rapidly changing their approach. Although the State of AI Agents report includes information from throughout most of 2025, the company admits that developments later in 2025 were not even detectable in November 2024, the start of the research period. IT environments that are currently being reorganized, will no longer rely on a few scattered chatbots for complex tasks."
AI adoption among enterprises appears slow, but large-scale setups expose that isolated pilots often fail to reach production. An agent breakthrough has taken place with Databricks figures indicating rapid change. After GenAI and agentic AI, 'multi-agentic' is emerging as the 2026 buzzword because linking AI tools is critical to maturation. The Model Context Protocol has achieved near-universal adoption, and security complaints persist even as state-of-the-art moves beyond the protocol. Vendors now prioritize management and oversight of AI agents. Multi-agent workflows on Databricks grew 327 percent, enabling grouped agents to handle intent, document retrieval, and compliance checks.
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