Secretaries and administrative assistants

AI Overlap Index
69.8 / 100
Mostly Exposed

Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.

SOC 43-6000 · Office And Administrative Support

Bureau of Labor Statistics
Median pay
$47,460/yr
Hourly
$23/hr
Jobs 2024
3,453,100
Projected 2034
3,440,800
10-yr outlook
0% · Little or no change
Employment change
-12,400
Entry education
High school diploma or equivalent
SOC code
43-6000

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
70.5
contribution to AOI: 42.3
Automation Potential weight 10%
80.0
contribution to AOI: 8.0
Market Pressure weight 15%
60.0
contribution to AOI: 9.0
Entry Barrier Erosion weight 15%
70.0
contribution to AOI: 10.5

By seniority

multiplicative adjustment from category curve

Entry
87.2
mult 1.25x
Mid
69.8
mult 1.00x
Senior
54.4
mult 0.78x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

10 tasks · model: claude-sonnet-4-5-20250929
Supporting t8

Perform basic bookkeeping tasks

Basic bookkeeping—data entry, invoice processing, expense categorization, reconciliation—is highly automatable with current AI and RPA tools. OCR plus AI can extract data from receipts and invoices, categorize transactions, and flag anomalies with minimal human oversight needed.

BLS evidence: Listed as a typical duty but presented as one of several routine clerical tasks.

82
automation
Important t4

Maintain databases and filing systems

Database maintenance and digital filing are highly structured tasks that AI excels at—automated tagging, categorization, deduplication, and retrieval are mature capabilities. Physical filing requires robotics, but most modern offices are digital-first where AI can operate autonomously.

BLS evidence: Listed as a typical duty and organizational skills to 'keep files, folders, and schedules in order' are emphasized.

80
automation
Core t2

Schedule appointments and update event calendars

AI scheduling assistants can parse email requests, check calendar availability, resolve conflicts, and send confirmations autonomously. Tools like x.ai and Microsoft's scheduling AI already handle this end-to-end for routine appointments, though complex multi-party scheduling with unstated preferences may need human touch.

BLS evidence: Explicitly listed as a typical duty and emphasized as helping organizations run efficiently.

75
automation
Important t6

Arrange staff meetings

AI can identify optimal meeting times across calendars, send invitations, book rooms, and handle logistics. Current tools handle this with minimal human input for routine meetings, though meetings requiring political sensitivity about attendee selection or timing may need human judgment.

BLS evidence: Listed as a typical duty that supports organizational operations.

73
automation
Core t1

Answer telephones and take messages or transfer calls

AI phone systems can now handle call routing, take structured messages, and transcribe voicemails with high accuracy. Most routine call handling is automatable, though complex judgment calls about urgency or escalation may need human review.

BLS evidence: Listed first among duties that secretaries and administrative assistants typically do.

72
automation
Important t5

Handle incoming and outgoing mail and faxes

AI can sort, categorize, and route incoming digital mail/faxes, extract key information, and flag items for attention. Outgoing mail can be templated and auto-generated. Physical mail handling requires human involvement, but the cognitive work of processing correspondence is largely automatable.

BLS evidence: Explicitly listed among the duties secretaries and administrative assistants typically do.

70
automation
Core t3

Prepare documents, reports, presentations, and correspondence using computer software

AI can generate first drafts of routine documents, reports, and correspondence from templates or brief instructions, and format presentations. However, documents requiring organizational context, tone calibration for specific relationships, or strategic messaging still benefit from human drafting or substantial editing.

BLS evidence: The page states they 'use computer software to create spreadsheets; manage databases; and prepare presentations, reports, and documents.'

68
automation
Supporting t10

Edit documents

AI editing tools can catch grammar, style inconsistencies, and suggest improvements at a level matching or exceeding median human editors for routine documents. However, editing requiring deep organizational context, brand voice consistency, or strategic messaging judgment still benefits from human review.

BLS evidence: Listed among typical duties and requires writing skills to 'ensure accuracy.'

65
automation
Important t7

Conduct research and review incoming documents

AI can search, summarize, and extract key points from documents efficiently. However, research requiring judgment about relevance to unstated organizational priorities, or synthesis across disparate sources for novel insights, still benefits significantly from human direction and validation.

BLS evidence: Executive secretaries 'often handle complex responsibilities, such as reviewing incoming documents, conducting research, and preparing reports.'

62
automation
Supporting t9

Negotiate with vendors, buy supplies, and manage stockrooms or corporate libraries

While AI can compare vendor quotes and manage inventory databases, negotiation requires relationship management and judgment about trade-offs that AI cannot fully replicate. Physical stockroom management requires presence. AI assists substantially but humans remain load-bearing for vendor relationships and physical organization.

BLS evidence: The page states 'They also may negotiate with vendors, buy supplies, and manage stockrooms or corporate libraries.'

48
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
80
karpathy 8/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
60
outlook: Little or no change
  • BLS projected outlook: Little or no change (0%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
70
ed: High school diploma or equivalent
  • BLS typical entry-level education: High school diploma or equivalent
  • Credential trend signal (annual refresh)

Related in Office And Administrative Support

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