Role summary
AI changes this role through status reporting, update review, and budget tracking, while stakeholder negotiation and team leadership stay human-led.
Analyze and coordinate the schedule, timeline, procurement, staffing, and budget of a product or service on a per project basis. Lead and guide the work of technical staff. May serve as a point of contact for the client or customer.
Work impacted by AI
AI can help with a meaningful share of the work, while people still own judgment, review, and relationships.
8 tasks most likely to change
20 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.
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
Scan the work areas, choose a task, then inspect what changes, what stays human-led, and which source signals are attached.
Reviewed task path
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Selected task
Report project status, such as budget, resources, technical issues, or customer satisfaction, to managers.
Why this task is shown
Select a node; details update below.
Evidence path
Supporting details
21 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.
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.
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.
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
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
MICROSOFT
Mapped directly to this occupation.
low
AI EXPOSURE
OPENAI
Mapped directly to this occupation.
high
AI EXPOSURE
INTERNAL · INTERNAL MODEL
medium
ROUTINE INTENSITY
OECD · GROUP MAPPING
low
HUMAN INTERACTION LEVEL
INTERNAL · INTERNAL MODEL
low
TASK COMPLEXITY
INTERNAL · INTERNAL MODEL
low
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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