If you're a Software Engineer, here's what AIGMI sees when it looks at your career.
AI Exposure Summary
AI is strong at boilerplate, tests, refactors, docs, and first-pass debugging. The frontier is moving quickly on mid-complexity feature work where repository context is available. The slower boundary is architecture-level accountability: failure mode design, distributed debugging, and long-term maintainability choices under business constraints.
Most Common Archetype
Software Engineers commonly map to CTDM The Architect or GTDM The Master. The deciding split is scope and accountability: platform builders skew Architect, deep systems specialists skew Master.
The Specific Risk
Routine feature implementation and framework-standard glue work are being repriced first, especially in teams that still measure output by ticket count instead of service quality.
The Specific Moat
Owning consequence is the moat: reliability under load, incident response, architectural tradeoffs, and quality decisions when telemetry is ambiguous.
The Play
Label backlog items as generate, review, and human-critical. Automate the first aggressively, standardize review checklists for the second, and defend focus time for the third.