AI: Threat or Opportunity?
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The narrative "AI will replace people" is repeated often — but without precise context, it generates more anxiety than insight.
The moment context is defined, the picture becomes more nuanced. The relevant question is not whether AI changes roles in the SDLC, but which activities within each role are affected, and in which direction.
AI in SDLC context
Roles whose activities are focused on routine, repeatable work are already being augmented or replaced. This is observable, not theoretical. The more important question is whether freed capacity is redirected toward higher-quality work — or simply eliminated.
From the perspective of Enterprise Architecture and SDLC practice, AI tools such as Kernaro shift the how of modelling work:
- Routine documentation tasks (Notes completeness, tag validation, report generation) can be delegated to agents
- Complex structural decisions, methodology governance, and cross-domain communication remain human responsibilities
- The boundary between the two is moving — and context-specific
Quality gate
Quality output from AI assumes quality input from humans and systems.
Quality input assumes systematic work — taxonomy, ontology, consistent modelling conventions — which most organisations are only beginning to address.
AI is not a shortcut. It is a catalyst — for those who are prepared.
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