This role faces substantial automation risk. Many tasks are repetitive or data-driven, making them prime candidates for AI replacement. Proactive career planning is strongly recommended.
Census Field Officer faces a 78% AI displacement risk. Workers who don't adapt to AI tools face significant career disruption. The median salary is $63,380, with AI projected to shift compensation by -12%. Our analysis covers timeline, adaptation strategies, and skills that remain valuable.
Source: What About AI? Career Assessment ·
Government & Public Administration
AI isn't replacing jobs—people using AI are replacing people who don't
What this means: Most workers in this field will need AI skills to stay competitive. Those who learn now will have a significant advantage over those who wait.
Complete job elimination risk
When major changes expected
Primary automation technology
Analysis updated February 2026
"Our 2030 Census research recommendations emphasize leveraging technology and administrative data to simplify operations, but reaching every person in America will always require a human workforce in the field."
This role faces substantial automation risk. Many tasks are repetitive or data-driven, making them prime candidates for AI replacement. Proactive career planning is strongly recommended.
The Census Bureau is actively investing in automated data collection, satellite-based address canvassing, and digital self-response tools for the 2030 Census. These technologies will significantly reduce the need for field enumerators, though hard-to-count populations will still require in-person outreach.
The 2030 Census will automate address canvassing, group quarters enumeration, and data processing while reducing the scale of field operations through increased digital self-response
Source: U.S. Census Bureau
Census preparations are underway with significant changes to how the count takes place, including reduced field enumeration and greater reliance on administrative records and technology
Source: U.S. Government Accountability Office
AI adoption in census and survey operations will accelerate data collection automation, though complete elimination of field workers is unlikely due to hard-to-count populations
Source: Stanford Digital Economy Lab
Deploying machine learning for automated address canvassing using satellite imagery and cloud-based geographic processing to reduce field operations for the 2030 Census
Offers census AI agent templates that automate survey distribution, response collection, and data validation for government census operations
Lower-risk roles that leverage your existing skills
Both roles involve federal program implementation, data collection, and direct public engagement on behalf of government agencies
Shared skills in community outreach, household assessment, and working with vulnerable populations in field settings
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