वायुमंडलीय वैज्ञानिक
जीवन, भौतिक और सामाजिक विज्ञानAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
बहुत उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.038
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.54
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 13% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.19-2021 | 0.020141.4 | —0 |
Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.19-2021 | 0.008918.3 | 0.002039.6 |
Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.19-2021 | 0.008818.1 | 0.003060.4 |
Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.19-2021 | 0.00459.3 | —0 |
Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.19-2021 | 0.00387.8 | —0 |
Prepare scientific atmospheric or climate reports, articles, or texts.19-2021 | 0.00255.1 | —0 |
| Not observed on any surface — 18 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media. | —0 | —0 |
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups. | —0 | —0 |
Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons. | —0 | —0 |
Direct forecasting services at weather stations or at radio or television broadcasting facilities. | —0 | —0 |
Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns. | —0 | —0 |
Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling. | —0 | —0 |
Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information. | —0 | —0 |
Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices. | —0 | —0 |
Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings. | —0 | —0 |
Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends. | —0 | —0 |
Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion. | —0 | —0 |
Develop or use mathematical or computer models for weather forecasting. | —0 | —0 |
Research the impact of industrial projects or pollution on climate, air quality, or weather phenomena. | —0 | —0 |
Collect air samples from planes or ships over land or sea to study atmospheric composition. | —0 | —0 |
Conduct wind assessment, integration, or validation studies. | —0 | —0 |
Create visualizations to illustrate historical or future changes in the Earth's climate, using paleoclimate or climate geographic information systems (GIS) databases. | —0 | —0 |
Estimate or predict the effects of global warming over time for specific geographic regions. | —0 | —0 |
Teach college-level courses on topics such as atmospheric and space science, meteorology, or global climate change. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Develop or use mathematical or computer models for weather forecasting.O*NET Task ID 20208 | 1.0 |
Prepare scientific atmospheric or climate reports, articles, or texts.O*NET Task ID 20211 | 1.0 |
Speak to the public to discuss weather topics or answer questions.O*NET Task ID 21103 | 1.0 |
Develop computer programs to collect meteorological data or to present meteorological information.O*NET Task ID 21104 | 1.0 |
Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.O*NET Task ID 9068 | 0.5 |
Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.O*NET Task ID 9069 | 0.5 |
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.O*NET Task ID 9070 | 0.5 |
Direct forecasting services at weather stations or at radio or television broadcasting facilities.O*NET Task ID 9076 | 0.5 |
Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns.O*NET Task ID 9079 | 0.5 |
Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.O*NET Task ID 9083 | 0.5 |
Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.O*NET Task ID 9074 | 0.0 |
Collect air samples from planes or ships over land or sea to study atmospheric composition.O*NET Task ID 9078 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
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मार्च 2026: Meteorology AI impact evergreen blog post publish हुआ: 55% exposure, 42% risk, communication और extreme events में human judgment ज़रूरी।
[स्रोत: AI Changing Work Blog]