Distribution across 10 profiles.
Middle half of Marine Ecologists score between 22% and 27%.
0%
50%
100%
p10 · 22%
28% · p90
Task breakdown by work type
On-screen work36%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen29%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action20%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person16%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Marine Ecologist, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Collecting water and biological samples in the field (nets, cores, water bottles) and recording environmental parameters (temperature, salinity, pH, dissolved oxygen)
24%AD
28%
Identifying and counting organisms under microscopes or in lab specimens; classifying species and recording abundance data
deep expertise
21%AD
16%
Collaborating with research teams, local fisheries managers, or conservation organizations to design studies and interpret ecological implications
deep expertisesocial core
15%AA
0%
Writing reports, manuscripts, and grant proposals that synthesize findings and communicate results to stakeholders, policymakers, or peer reviewers
deep expertisesocial core
13%DD
16%
Maintaining and calibrating field equipment (sensors, water quality meters, sampling nets) and managing lab instruments
13%DA
17%
Analyzing data using statistical software (R, SPSS, Python) to detect trends in population dynamics, water quality, or ecosystem health
deep expertisesocial element
8%DD
31%
Managing databases, organizing field notes, and ensuring proper archiving and metadata standards for long-term data accessibility
2%DD
93%
Presenting findings at conferences, seminars, or community meetings and engaging with the public or policy audiences
deep expertisesocial element
0%DA
12%
TaskTimeTypeExposure
Identifying and counting organisms under microscopes or in lab specimens; classifying species and recording abundance data
deep expertise
19%AD
21%
Writing reports, manuscripts, and grant proposals that synthesize findings and communicate results to stakeholders, policymakers, or peer reviewers
deep expertisesocial core
18%DD
16%
Maintaining and calibrating field equipment (sensors, water quality meters, sampling nets) and managing lab instruments
17%DA
25%
Presenting findings at conferences, seminars, or community meetings and engaging with the public or policy audiences
some context neededsocial core
15%DA
6%
Managing databases, organizing field notes, and ensuring proper archiving and metadata standards for long-term data accessibility
9%DD
88%
Collaborating with research teams, local fisheries managers, or conservation organizations to design studies and interpret ecological implications
deep expertisesocial core
9%AA
5%
Analyzing data using statistical software (R, SPSS, Python) to detect trends in population dynamics, water quality, or ecosystem health
deep expertise
6%DD
40%
Collecting water and biological samples in the field (nets, cores, water bottles) and recording environmental parameters (temperature, salinity, pH, dissolved oxygen)
deep expertisesocial element
3%AD
18%
TaskTimeTypeExposure
Collecting water and biological samples in the field (nets, cores, water bottles) and recording environmental parameters (temperature, salinity, pH, dissolved oxygen)
31%AD
27%
Collaborating with research teams, local fisheries managers, or conservation organizations to design studies and interpret ecological implications
deep expertisesocial element
23%AA
2%
Managing databases, organizing field notes, and ensuring proper archiving and metadata standards for long-term data accessibility
14%DD
89%
Identifying and counting organisms under microscopes or in lab specimens; classifying species and recording abundance data
deep expertise
9%AD
23%
Presenting findings at conferences, seminars, or community meetings and engaging with the public or policy audiences
some context neededsocial core
9%DA
16%
Maintaining and calibrating field equipment (sensors, water quality meters, sampling nets) and managing lab instruments
7%DA
21%
Analyzing data using statistical software (R, SPSS, Python) to detect trends in population dynamics, water quality, or ecosystem health
deep expertise
1%DD
31%
Writing reports, manuscripts, and grant proposals that synthesize findings and communicate results to stakeholders, policymakers, or peer reviewers
some context neededsocial core
1%DD
30%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
