Secretaries & Administrative Assistants
Perform routine administrative support such as correspondence, scheduling, records, phone communications, and office coordination.
Forecast and analytical state
Administrative information handling is increasingly machine-scalable, and agentic systems can combine scheduling, correspondence, documents and workflow coordination. The occupation is already in structural decline and AI reinforces that trajectory.
Where the evidence stands now
Transparent by design. Every stage judgment is traceable to the evidence supporting the current assessment.
View all Secretaries & Administrative Assistants evidence →Forecast ContextView detail ›
Contraction underway
The 2030 range is retained. By 2035, the core downside still assumes additional agentic consolidation beyond BLS, but the more aggressive -12% case is treated as a stress scenario rather than a core bound.
Organizational growth creates administrative activity, but agents can absorb more of the incremental workload.
Agentic administrative workflows; employees or executives supported per assistant.
Six-Stage Transition Assessment
Capability
Scheduling, correspondence, information handling, drafting and routine office coordination are highly compatible with current AI systems. | INCREMENT X26: Salesforce Agentforce agent offerings; limitation: Capability/product claims not occupation labor effect | Qualification: Group average overstates SOC-specific adoption.
Moderate-high confidence
Evidence Synthesis
Directional summary of whether current evidence pushes EOL toward greater or lesser human labor demand relative to the occupation’s existing structural trajectory. It is categorical, not a probability, percentile, automation share, or mathematical adjustment.
Administrative information handling can increasingly scale through software and agents, while managers and professionals become more self-sufficient, weakening historical support-staffing relationships.
Labor Supply
- Pipeline
- Open-entry / employer-trained
- Supply trend
- No discrete pipeline; entry remains broad and flexible
- Replenishment burden
- 8.7% of employment annually
- Demand-supply alignment
- Well positioned to accommodate contraction through attrition and reduced replacement hiring
Secretarial and administrative support has few formal entry barriers and a relatively old incumbent workforce. As AI reduces routine administrative workload, retirements, occupational exits, and transfers create a strong natural-attrition channel. The occupation can therefore contract materially through nonreplacement without requiring layoffs on the same scale as the decline in employment.
How EOL analyzes labor supply →Forecast Bridge
The analysis above is the evidence base. The bridge below summarizes how those findings translate into the 2030 and 2035 ranges without repeating the full six-stage assessment.
BLS explicitly identifies AI-enabled routine back-office productivity as a factor reducing O10 utilization. EOL does not count document preparation, scheduling or notetaking a second time.
The residual departure is broader agentic, cross-system administrative workflow execution that raises support ratios beyond the routine AI and office automation already recognized by BLS.
Neutral structural bridge: -3%. This is an EOL benchmark derived from the BLS ten-year path, not a BLS 2030 forecast.
At the lower-employment edge, EOL assumes agentic administrative workflows let managers and professionals handle more coordination themselves and allow each remaining assistant to support more people. That puts employment about 2.0% below the neutral structural reference. The 2030 bound remains constrained by the limited time available for diffusion and organizational redesign.
At the upper-employment edge, EOL assumes BLS already captures much of the routine AI effect and organizational growth plus persistent coordination needs keep the additional EOL departure small. That puts employment about 1.1% above the neutral structural reference.
BLS structural projection: −6.0%.
Agentic workflows and higher support ratios compound through attrition and reduced replacement hiring, producing a decline materially below BLS but short of the prior stress case.
BLS-like decline prevails: AI raises productivity but exception handling, coordination and organizational growth prevent additional staffing compression.
The prior -12% 2035 lower edge is retained as a stress scenario pending stronger O10-specific support-ratio and nonreplacement evidence. A materially higher outcome would require the employment-supportive conditions to dominate more strongly than current evidence supports: Executive coordination, exception handling and relationship management remain labor-intensive; organizations preserve dedicated support despite automation; growth in organizational complexity offsets productivity.
What Would Change Our View?
Toward greater displacementAgentic scheduling, correspondence and document workflows become default.⌄
Toward greater employmentExecutive coordination, exception handling and relationship management remain labor-intensive.⌄
See how this assessment evolves
EOL preserves meaningful assessment updates, forecast holds, forecast changes, and BLS structural rebases over time.