What happens when everyone in government uses AI the same way?
What happens when everyone in government uses AI the same way?
Publish Date: 2026-05-26 17:05:00
Source Domain: federalnewsnetwork.com
A government that thinks alike, at scale, is a government less equipped to handle the problems that don’t fit the model.
Jonathan Aberman
May 26, 2026 5:01 pm
4 min read
Washington is having the wrong conversation about artificial intelligence.
The debate in federal corridors focuses almost exclusively on safety guardrails, procurement rules and oversight frameworks. Those concerns are real, and I won’t dismiss them. But they sidestep a subtler threat that I think deserves far more attention: What happens when AI quietly trains government workforces to think alike?
This is already happening. You can see it in how work is starting to look and sound across agencies.
As generative AI embeds itself into agencies’ daily workflows (drafting memos, synthesizing policy options, preparing briefings), it naturally pulls outputs toward a statistical center. That’s not a flaw; it’s how the technology was built. AI learns from vast datasets and optimizes for outputs that reflect existing patterns. The result is cognitively convergent: proposals that are well-structured, defensible and largely indistinguishable from one another. Efficient, yes. But in a government that faces novel, complex, high-stakes decisions daily, efficiency built on sameness is a risk multiplier hiding in plain sight.
]]
Think about what the federal government does. It often makes decisions where there is no clean precedent. For example, pandemic responses,…
