भौतिक विज्ञानी
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
0.273
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.38
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 48% 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 % |
|---|---|---|
Design computer simulations to model physical data so that it can be better understood.19-2012 | 0.014847.0 | 0.005128.4 |
Perform complex calculations as part of the analysis and evaluation of data, using computers.19-2012 | 0.014445.7 | 0.013071.6 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes to explore and identify the basic principles governing these phenomena.19-2012 | 0.00237.3 | —0 |
| Not observed on any surface — 12 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. | ||
Describe and express observations and conclusions in mathematical terms. | —0 | —0 |
Analyze data from research conducted to detect and measure physical phenomena. | —0 | —0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences. | —0 | —0 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures. | —0 | —0 |
Direct testing and monitoring of contamination of radioactive equipment, and recording of personnel and plant area radiation exposure data. | —0 | —0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology. | —0 | —0 |
Teach physics to students. | —0 | —0 |
Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices. | —0 | —0 |
Conduct application evaluations and analyze results to determine commercial, industrial, scientific, medical, military, or other uses for electro-optical devices. | —0 | —0 |
Develop standards of permissible concentrations of radioisotopes in liquids and gases. | —0 | —0 |
Conduct research pertaining to potential environmental impacts of atomic energy-related industrial development to determine licensing qualifications. | —0 | —0 |
Advise authorities of procedures to be followed in radiation incidents or hazards, and assist in civil defense planning. | —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 |
|---|---|
Perform complex calculations as part of the analysis and evaluation of data, using computers.O*NET Task ID 10903 | 1.0 |
Describe and express observations and conclusions in mathematical terms.O*NET Task ID 10904 | 1.0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences.O*NET Task ID 10906 | 1.0 |
Design computer simulations to model physical data so that it can be better understood.O*NET Task ID 10907 | 1.0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology.O*NET Task ID 10911 | 1.0 |
Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices.O*NET Task ID 10913 | 1.0 |
Write research proposals to receive funding.O*NET Task ID 21174 | 1.0 |
Analyze data from research conducted to detect and measure physical phenomena.O*NET Task ID 10905 | 0.5 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures.O*NET Task ID 10908 | 0.5 |
Teach physics to students.O*NET Task ID 10912 | 0.5 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes, to explore and identify the basic principles governing these phenomena.O*NET Task ID 10910 | 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