Mainframe AI Shifts from Experimentation to Trust-Based Operations…

Event summary

BMC's 2026 Mainframe Survey shows 94% of respondents express long-term confidence in mainframe technology.
45% of mainframe professionals prioritize AI implementation, with a preference for AI as an advisor rather than executor.
36% plan to invest in creating agents to manage mainframes, while 32% will invest in third-party agents.
Top concerns include high implementation costs (41%), security/privacy (39%), and data integration (37%).
Survey conducted among 1,300+ mainframe practitioners globally, with responses gathered March 24 – April 20, 2026.

The big picture

BMC's survey highlights a strategic shift in AI adoption on mainframes, moving from experimental phases to operational integration with a focus on trust, governance, and measurable outcomes. This trend reflects broader industry efforts to balance AI's potential with the need for reliability and security in mission-critical systems. The findings underscore the growing importance of AI-driven automation in enterprise environments, particularly where failure is not an option.

What we're watching

Trust Dynamics: How the shift from AI experimentation to operational adoption will impact mainframe management strategies.
Governance Priorities: Whether enterprises can sustain the balance between AI autonomy and human oversight in critical systems.
Implementation Challenges: The pace at which high implementation costs and security concerns will be addressed in AI mainframe solutions.