
JOB REPORT / 19-2099 · 24 TASKS
Physical Scientists, All Other.
Can AI do the work of Physical Scientists, All Others?
Mostly it works alongside you. Here is what shifts, task by task.
YOUR EXPERIENCE MATTERS
How does this fit your work?
How many tasks do you use AI to assist with at work?
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The mark shows what’s typical for this job.
The parts of your job AI can already do most of:
- Analyze data acquired from aircraft, satellites, or ground-based platforms…
- Process aerial or satellite imagery to create products
- Manage or analyze data obtained from remote sensing systems…
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A guided certificate program in AI-assisted Physical Scientists, All Other work. It covers the 22 AI-affected parts of your job and ends in a capstone a person reviews.
WHAT WE LOOKED AT
Your job, task by task.
22/ 2422 of 24 tasks reviewed
This job has 24 core tasks. We went through 22 of them, one at a time.
Task by task, from the work Physical Scientists, All Others actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.
- TASK 01
Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
AI DOESProcesses large satellite datasets, runs image classification, and detects patterns in GIS layers automatically
YOU DOInterpret ambiguous results, validate outputs against ground truth, and make scientific judgments about what the data really means
- TASK 02
Process aerial or satellite imagery to create products such as land cover maps.
AI DOESClassifies land cover types in satellite images and flags areas of change automatically
YOU DOVerify accuracy, fix misclassifications, and apply domain knowledge to ambiguous terrain
- TASK 03
Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
AI DOESProcesses large datasets, detects patterns, classifies land cover, and generates visualizations automatically
YOU DOInterpret ambiguous results, apply domain knowledge, and decide what findings matter for real-world decisions
- TASK 04
Organize and maintain geospatial data and associated documentation.
AI DOESAuto-sorts files, fills in metadata fields, flags duplicates, and suggests folder structures
YOU DODecide how to organize data to match your project goals and quality standards
- TASK 05
Prepare or deliver reports or presentations of geospatial project information.
AI DOESDrafts report sections, summarizes data trends, and suggests slide layouts
YOU DOInterpret what the geospatial findings actually mean for the real-world decision at hand
- TASK 06
Develop or build databases for remote sensing or related geospatial project information.
AI DOESDrafts database schemas, writes SQL queries, and suggests data models for geospatial datasets
YOU DODecide which data layers matter and how the database must fit your specific project workflows
- TASK 07
Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.
AI DOESScans satellite and sensor data to detect forest cover changes and estimate carbon stocks
YOU DOValidate findings, pick the right models, and translate results into meaningful environmental insights
- TASK 08
Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
AI DOESGenerates correction algorithm code, suggests filtering approaches, and flags artifact patterns in sample imagery
YOU DOValidate results against ground truth and tune algorithms for specific terrain and sensor conditions
- TASK 09
Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.
AI DOESFlags anomalies in satellite data, runs standard detection models, and speeds up image processing
YOU DOChoose the right method for each unique environmental problem and interpret what the data actually means
- TASK 10
Design or implement strategies for collection, analysis, or display of geographic data.
AI DOESDrafts analysis pipelines, suggests visualization tools, and auto-generates code for data processing
YOU DODecide which geographic questions to ask and judge whether results make real-world sense
- TASK 11
Integrate other geospatial data sources into projects.
AI DOESSuggests data sources, writes scripts to reproject and merge layers, and flags mismatches in formats or coordinate systems
YOU DODecide which datasets are scientifically valid and how they meaningfully connect to your research question
- TASK 12
Conduct research into the application or enhancement of remote sensing technology.
AI DOESSearches research literature, summarizes findings, drafts code for data analysis, and suggests existing methods
YOU DODesign the experiments, judge which questions are worth asking, and interpret unexpected results from real sensor data
- TASK 13
Recommend new remote sensing hardware or software acquisitions.
AI DOESSearches product databases, compares sensor specs, summarizes user reviews, and drafts recommendation reports
YOU DOWeigh mission needs, organizational priorities, and real-world field experience before committing budget
- TASK 14
Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
AI DOESScans incoming data streams for anomalies, artifacts, and quality metrics in real time
YOU DODecide whether anomalies mean equipment failure, bad conditions, or a needed procedure change
- TASK 15
Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
AI DOESDrafts meeting agendas, summarizes equipment options, and suggests methodology comparisons
YOU DOLead the conversation, read the room, and make judgment calls with teammates
- TASK 16
Train technicians in the use of remote sensing technology.
AI DOESDrafts training guides, quizzes, and explainer content about remote sensing tools and concepts
YOU DOWatch learners work, spot confusion early, and adjust teaching in the moment
- TASK 17
Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
AI DOESSummarizes new papers, highlights key findings, and organizes literature by topic
YOU DODecide which ideas matter for your work and connect with colleagues in person
- TASK 18
Develop new analytical techniques or sensor systems.
AI DOESSearches research, drafts design ideas, and runs simulations to test concepts
YOU DOBring creative insight and hands-on expertise to validate and build genuinely new systems
- TASK 19
Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
AI DOESDrafts project plans, summarizes system logs, and suggests configuration improvements
YOU DOMake final calls on hardware tradeoffs, team coordination, and real-world deployment decisions
- TASK 20SOURCE-BACKED TASK
Compile and format image data to increase its usefulness.
AI DOESSorts, labels, and reformats image files automatically
YOU DODecide which format serves your purpose
About this analysis
57% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
- TASK 21
Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
AI DOESSearches public climate databases, flags relevant existing datasets, and helps organize collected data
YOU DOGo outside, take physical measurements, and judge whether field conditions match what sensors captured
- TASK 22
Set up or maintain remote sensing data collection systems.
AI DOESMonitors system health, flags data anomalies, and suggests configuration settings
YOU DOPhysically install, calibrate, and troubleshoot hardware in the field
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