Emerging in AI
Technologies reshaping the MSP and enterprise landscape — tracked by adoption heat, funding momentum, and strategic relevance to managed services.
Autonomous AI agents that plan, execute, and adapt with minimal human input. Moving rapidly from proof-of-concept to production across enterprise security, IT operations, and customer service.
Open protocol for connecting AI models to external tools, data sources, and APIs. Becoming the standard interface layer between AI agents and enterprise systems.
Platforms for managing AI risk, bias, compliance, and oversight. Critical as agentic AI deployment outpaces governance frameworks across every vertical.
Microsoft's Copilot expanding into agents, Cowork, developer tools, and security. Defining the enterprise AI user experience for M365 tenants worldwide.
On-premise and edge AI deployments for regulated industries. Data residency requirements and compliance mandates driving local infrastructure investment.
Security Operations Centers powered entirely by AI agents for autonomous threat detection, triage, and response. Redefining what MSSPs can deliver.
Structured evaluation services helping organizations measure AI maturity, identify gaps, and build adoption roadmaps. A growing consulting revenue stream.
New patterns for connecting LLMs to organizational knowledge — moving beyond basic RAG to evolving knowledge bases maintained by AI. Karpathy's LLM Knowledge Base approach signals a paradigm shift.