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The Task Graph

Understand how AI is changing work — built from public government databases with transparent methods and plain-language explanations.

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Browse roles/Training and Development Specialists
Role-specific view20 role tasks

Role summary

Training and Development Specialists

AI changes this role through training analysis, evaluation, and material review, while understanding learner needs and coaching stay human-led.

Design or conduct work-related training and development programs to improve individual skills or organizational performance. May analyze organizational training needs or evaluate training effectiveness.

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Applications TrainerApprenticeship and Training RepresentativeAuxiliary Personnel Inservice CoordinatorBilingual TrainerCertified EPIC Trainer (Certified Electronic Privacy Information Center Trainer)Computer Software Training SpecialistComputer Technology TrainerComputer Training Specialist

Work impacted by AI

Moderate AI support30–45%

AI can help with a meaningful share of the work, while people still own judgment, review, and relationships.

7 tasks most likely to change

AI may reach parts of the task, not erase the task.

20 tasks have external evidence

Task-level matches are marked in the details.

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.

How this estimate is calculated

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.

20 tasks are included; 20 have matched external task evidence. Role-level benchmarks are shown below as context, not pushed into individual task estimates.

Tasks in this role

Which tasks may change with AI support

Scan the work areas, choose a task, then inspect what changes, what stays human-led, and which source signals are attached.

List and detail viewExternal evidence

Reviewed task path

Start with the reviewed examples, then explore every task in the role.

Find tasks

20 of 20 tasks

Search directly, or filter for the tasks most worth inspecting first. Work area is a secondary filter.

2 strong AI-support tasks20 tasks with direct evidence

Selected task

Monitor, evaluate, or record training activities or program effectiveness.

Strong AI work-change signal
Workflow redesignAI impact 59%1 source signal

Why this task is shown

i

Select a node; details update below.

Selected task: Monitor, evaluate, or record training activities or program effectiveness.. Click a node to inspect the source path for this task.

8 path nodes1 evidence

Task

The selected work activity

Work concept

Plain-language bridge

Estimate

AI work-change read

Evidence

Matched public support

Source

Where signals came from

Evidence path

Select a node to inspect the evidence path.

Selected node

This section updates when you choose a node in the path.

Task

Monitor, evaluate, or record training activities or program effectiveness.

The work appears structured and repeatable enough to standardize. It combines structured inputs with case judgment. Formal accountability pressure looks limited. People still need to stay close to the workflow even if parts are automated. This task blends data processing and analytical reasoning work. This task mixes technical limits with delivery constraints, so the best first move is usually narrow AI assistance rather than full automation.

Why linked

maps to

AI work-change
59%
Workflow automation
41%

Connected path

  1. Monitor, evaluate, or record training activities or program effectiveness.
  2. Analytical Reasoning
  3. Data Processing
  4. AI work-change estimate
  5. Workflow automation estimate
  6. OpenAI GPTs are GPTs
  7. OpenAI GPTs are GPTs
  8. The Task Graph analysis

Supporting details

2

Where AI reaches

1 matched public source signal is visible for this task. The AI work-change signal is strongest around information handling, drafting, analysis, checking, or repeatable digital steps.

What changes

The work appears structured and repeatable enough to standardize.

What stays human

Automation needs narrow scope and visible review because delivery constraints still matter.

Next move

Start with workflow redesign

Look for handoffs, approvals, or tool changes before trying to automate the task itself.

Sources

Evidence attached to this task

1 matched

OpenAI GPTs are GPTs

Exact O*NET task-id match

medium

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.

Confidence
95%
What the value means
Model exposure signal; it does not mean full task automation.

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.

View source

Why this signal is shown

1 external source signal matched to this task. The visible signal combines stored task analysis with matched public task evidence when a direct match exists.

Evidence trail

Work concepts

Data ProcessingAnalytical Reasoning

Evidence records

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

OpenAI GPTs are GPTsThe Task Graph analysis

Evidence

What the page is grounded in

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.

Role-level benchmarks

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

MICROSOFT

Mapped directly to this occupation.

low

AI USAGE

ANTHROPIC

Mapped directly to this occupation.

low

AI EXPOSURE

OPENAI

Mapped directly to this occupation.

high

Supporting role signals

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

Occupation source records

These are the occupation records used for the role structure. Public AI evidence links are shown beside the matched task evidence above.

ONET

O*NET

View source record
ESCO

ESCO

View source record

Important to know

Task-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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