Modernization redefined: Why public sector IT leaders must put data at the center of AI architecture
A commentary argues that public sector IT leaders should treat data infrastructure as the foundation of AI adoption, rather than treating AI tools as the starting point for modernization decisions.
Why this matters: Government agencies are buying AI fast. The less visible question is what data sits underneath it. If agencies bolt AI onto broken or poorly governed data systems, the AI does not fix the mess — it amplifies it. Citizens who depend on government services end up affected by decisions made from bad inputs. Data-first is not a technical preference. It is an accountability question about whether public institutions actually understand what they are running.
Who should care: General readers · AI governance · Policy
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