आरक्षण और टिकट एजेंट
कार्यालय और प्रशासनिक सहायताAI 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
0.247
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.56
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 8% 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 % |
|---|---|---|
Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies.43-4181 | 0.0600100.0 | 0.0100100.0 |
Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.43-4181 | 0.00000.0 | —0 |
Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries.43-4181 | 0.00000.0 | —0 |
Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements.43-4181 | 0.00000.0 | —0 |
Provide customers with travel suggestions and information sources, such as guides, directories, brochures, or maps.43-4181 | 0.00000.0 | —0 |
Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers. | —0 | 0.00000.0 |
Contact customers or travel agents to advise them of travel conveyance changes or to confirm reservations. | —0 | 0.00000.0 |
| Not observed on any surface — 14 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. | ||
Determine whether space is available on travel dates requested by customers, assigning requested spaces when available. | —0 | —0 |
Maintain computerized inventories of available passenger space and provide information on space reserved or available. | —0 | —0 |
Confer with customers to determine their service requirements and travel preferences. | —0 | —0 |
Examine passenger documentation to determine destinations and to assign boarding passes. | —0 | —0 |
Provide boarding or disembarking assistance to passengers needing special assistance. | —0 | —0 |
Check baggage and cargo and direct passengers to designated locations for loading. | —0 | —0 |
Announce arrival and departure information, using public address systems. | —0 | —0 |
Trace lost, delayed, or misdirected baggage for customers. | —0 | —0 |
Keep information facilities clean during operation. | —0 | —0 |
Prepare customer invoices and accept payment. | —0 | —0 |
Promote particular destinations, tour packages, and other travel services. | —0 | —0 |
Provide clients with assistance in preparing required travel documents and forms. | —0 | —0 |
Contact motel, hotel, resort, and travel operators to obtain current advertising literature. | —0 | —0 |
Open or close information facilities. | —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 |
|---|---|
Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies.O*NET Task ID 9752 | 1.0 |
Announce arrival and departure information, using public address systems.O*NET Task ID 9761 | 1.0 |
Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.O*NET Task ID 9749 | 0.5 |
Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers.O*NET Task ID 9750 | 0.5 |
Prepare customer invoices and accept payment.O*NET Task ID 9751 | 0.5 |
Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries.O*NET Task ID 9753 | 0.5 |
Determine whether space is available on travel dates requested by customers, assigning requested spaces when available.O*NET Task ID 9754 | 0.5 |
Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements.O*NET Task ID 9755 | 0.5 |
Maintain computerized inventories of available passenger space and provide information on space reserved or available.O*NET Task ID 9756 | 0.5 |
Confer with customers to determine their service requirements and travel preferences.O*NET Task ID 9757 | 0.5 |
Provide boarding or disembarking assistance to passengers needing special assistance.O*NET Task ID 9759 | 0.0 |
Check baggage and cargo and direct passengers to designated locations for loading.O*NET Task ID 9760 | 0.0 |
Keep information facilities clean during operation.O*NET Task ID 20436 | 0.0 |
Open or close information facilities.O*NET Task ID 20437 | 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