Role summary
AI changes this role through performance analysis, scheduling, and operational reporting, while personnel decisions and frontline responsibility stay human-led.
Plan, direct, or coordinate the operations of public or private sector organizations, overseeing multiple departments or locations. Duties and responsibilities include formulating policies, managing daily operations, and planning the use of materials and human resources, but are too diverse and general in nature to be classified in any one functional area of management or administration, such as personnel, purchasing, or administrative services. Usually manage through subordinate supervisors. Excludes First-Line Supervisors.
Work impacted by AI
AI can help with a meaningful share of the work, while people still own judgment, review, and relationships.
2 tasks most likely to change
17 tasks have external evidence
Not a job-loss prediction or a claim that this work should be fully automated.
Source coverage and task evidence are shown in the task section and evidence section below.
The estimate averages the analyzed task-level AI impact signals for this role. Each task starts with stored task analysis, then uses direct public task evidence when an exact task match is available.
17 tasks are included; 17 have matched external task evidence. Role-level benchmarks are shown below as context, not pushed into individual task estimates.
Tasks in this role
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Reviewed task path
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Selected task
Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.
Why this task is shown
Select a node; details update below.
Evidence path
Supporting details
22 matched public source signals are visible for this task. The AI work-change signal is strongest around information handling, drafting, analysis, checking, or repeatable digital steps.
Parts of the work are structured, but exceptions likely matter.
Automation is limited mainly by audience or relationship dependence.
Start with AI support
Use AI for preparation, drafting, analysis, checking, or first-pass synthesis while people review the result.
Sources
OpenAI GPTs are GPTs
Exact O*NET task-id match
How this source is linked
This source row is matched to the same O*NET occupation task used in The Task Graph. It is an exact task-id match, not a fuzzy text guess.
OpenAI records a high public AI source signal for this task (75 / 100). This is best read as model exposure and possible AI assistance, not as a guarantee of full automation.
Anthropic Economic Index
Exact normalized task-title match
How this source is linked
This source row is matched by exact task title after simple normalization such as casing, spacing, and punctuation cleanup. It is deterministic exact-title matching, not semantic inference.
Anthropic records high observed AI-use penetration around matching task text (raw observed-use signal: 93 / 100). The Task Graph treats this as a cautious 55 / 100 public source signal because observed use is not a direct automation estimate.
2 external source signals matched to this task. The visible signal combines stored task analysis with matched public task evidence when a direct match exists.
Work concepts
Evidence records
OpenAI GPTs are GPTs
OpenAI records a high public AI source signal for this task (75 / 100). This is best read as model exposure and possible AI assistance, not as a guarantee of full automation.
high
Anthropic Economic Index
Anthropic records high observed AI-use penetration around matching task text (raw observed-use signal: 93 / 100). The Task Graph treats this as a cautious 55 / 100 public source signal because observed use is not a direct automation estimate.
medium
Sources
Evidence
The task view keeps task-level evidence close to each task. This section keeps broader role context and source records available when you want to inspect them.
These records describe the occupation as a whole. They provide context for the top estimate, but task-level evidence is only used on a task when it directly matches that task.
AI USAGE
ANTHROPIC
Mapped directly to this occupation.
low
AI USAGE
MICROSOFT
Mapped directly to this occupation.
low
AI EXPOSURE
OPENAI
Mapped directly to this occupation.
high
AI EXPOSURE
INTERNAL · INTERNAL MODEL
low
ROUTINE INTENSITY
OECD · GROUP MAPPING
low
HUMAN INTERACTION LEVEL
INTERNAL · INTERNAL MODEL
medium
TASK COMPLEXITY
INTERNAL · INTERNAL MODEL
high
These are the occupation records used for the role structure. Public AI evidence links are shown beside the matched task evidence above.
O*NET
View source recordTask-level evidence can shape a task estimate only when it is matched directly to that task. Role-level benchmarks stay as context because they describe the occupation as a whole.
Task sources
Tasks
O*NET · O*NET Task Statements.txt · db_30_0_text
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