Sophistication in GenAI Use: Field Evidence from a Large Firm
We study how sophistication in generative AI (genAI) use varies among the back-office workforce of a large firm. Using proprietary data, we observe 713,564 employee prompts and their corresponding large language model responses from nearly 4,000 back-office employees across 15 functional areas over eight months in 2025. We document three main findings. First, senior employees exhibit more sophisticated genAI use, consistent with domain expertise complementing genAI capabilities. Second, sophistication varies considerably across functions and is highest in Strategy, Digital Innovation, and Proj
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%Atlassian: Why AI speeds up employees but not organizations →
- PossiblePossibly related (embedding) · 58%Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI →
- PossiblePossibly related (embedding) · 56%When code is abundant →
- PossiblePossibly related (embedding) · 55%Software engineers can still rake in big bucks by working for fast-growing companies →
- PossiblePossibly related (embedding) · 55%As AI infrastructure spreads globally, talent strategy is becoming the real competitive edge - TechCrunch →
- FuzzySimilar title/name (fuzzy) · 59%halfrost/Halfrost-Field →
“Fuzzy title match (0.73): “Sophistication in GenAI Use: Field Evidence from a Large Fir” ≈ “halfrost/Halfrost-Field””
- LinkedLinked via arxiv author · 85%Nicholas J. Hallman →
“Sophistication in GenAI Use: Field Evidence from a Large Firm”
- LinkedLinked via arxiv author · 85%Zachary T. Kowaleski →
“Sophistication in GenAI Use: Field Evidence from a Large Firm”