Role summary
AI changes this role through needs analysis, program evaluation, and content preparation, while leading instructors remains human-led.
Plan, direct, or coordinate the training and development activities and staff of an organization.
Work impacted by AI
AI can help with a meaningful share of the work, while people still own judgment, review, and relationships.
5 tasks most likely to change
12 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.
12 tasks are included; 12 have matched external task evidence. Role-level benchmarks are shown below as context, not pushed into individual task estimates.
Tasks in this role
Scan the work areas, choose a task, then inspect what changes, what stays human-led, and which source signals are attached.
Reviewed task path
Start with the reviewed examples, then explore every task in the role.
Search directly, or filter for the tasks most worth inspecting first. Work area is a secondary filter.
Selected task
Analyze training needs to develop new training programs or modify and improve existing programs.
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 signal suggests AI may reach preparation, review, or parts of the workflow, but the whole task still needs context.
Parts of the work are structured, but exceptions likely matter.
No major automation blocker is visible from the current task data.
Start with workflow redesign
Look for handoffs, approvals, or tool changes before trying to automate the task itself.
Sources
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: 89 / 100). The Task Graph treats this as a cautious 55 / 100 public source signal because observed use is not a direct automation estimate.
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 medium public AI source signal for this task (50 / 100). This is best read as model exposure and possible AI assistance, not as a guarantee of full automation.
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
Anthropic Economic Index
Anthropic records high observed AI-use penetration around matching task text (raw observed-use signal: 89 / 100). The Task Graph treats this as a cautious 55 / 100 public source signal because observed use is not a direct automation estimate.
medium
OpenAI GPTs are GPTs
OpenAI records a medium public AI source signal for this task (50 / 100). This is best read as model exposure and possible AI assistance, not as a guarantee of full automation.
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.
medium
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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