সম্পত্তি মূল্যায়নকারী এবং নির্ধারক
ব্যবসা ও অর্থযুক্তরাষ্ট্র · BLS কর্মসংস্থান প্রক্ষেপণ 2025–35: এই SOC কোডটি প্রকাশিত ভুক্তিগুলির মধ্যে নেই।
AI এক্সপোজার
- ডেটার উৎস: ILOপ্রকাশকাল: 2025
0.45
0.09এখানে থাকা মানগুলোর পরিসর0.70পেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
জেনারেটিভ AI এক্সপোজার সূচক, প্রকাশিত রূপে 0–1
ISCO-08 ইউনিট গ্রুপ — একই কোডের সব পেশা এই মানই পায়
এটি এই সাইটের হিসাব, ILO-এর প্রকাশিত সংখ্যা নয়: এই সাইট ILO ডেটাসেটের সঙ্গে যুক্ত করা ১,০১২টি পেশার মধ্যে 25% এই মানের সমান বা তার বেশি।
- ডেটার উৎস: OpenAIপ্রকাশকাল: 2023
0.464
0.000এখানে থাকা মানগুলোর পরিসর0.844স্কেল, ভিত্তি ও উৎস
Task-level exposure
27টি লুকানো কাজ দেখুন| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments.13-2021 | 0.009035.4 | 0.004726.0 |
Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.13-2021 | 0.005119.9 | 0.002815.4 |
Maintain familiarity with aspects of local real estate markets.13-2021 | 0.003313.0 | 0.002111.8 |
Collect and analyze relevant data to identify real estate market trends.13-2021 | 0.003112.2 | 0.004022.5 |
Evaluate land and neighborhoods where properties are situated, considering locations and trends or impending changes that could influence future values.13-2021 | 0.00197.3 | —0 |
Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.13-2021 | 0.00166.1 | —0 |
Examine the type and location of nearby services, such as shopping centers, schools, parks, and other neighborhood features, to evaluate their impact on property values.13-2021 | 0.00166.1 | —0 |
Examine income records and operating costs of income properties. | —0 | 0.002514.2 |
Inspect properties to evaluate construction, condition, special features, and functional design, and to take property measurements. | —0 | 0.001810.1 |
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 |
|---|---|
Calculate tax bills for properties by multiplying assessed values by jurisdiction tax rates.O*NET Task ID 21575 | 1.0 |
Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.O*NET Task ID 21549 | 0.5 |
Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.O*NET Task ID 21550 | 0.5 |
Inspect new construction and major improvements to existing structures to determine values.O*NET Task ID 21551 | 0.5 |
Collect and analyze relevant data to identify real estate market trends.O*NET Task ID 21552 | 0.5 |
Prepare and maintain current data on each parcel assessed, including maps of boundaries, inventories of land and structures, property characteristics, and any applicable exemptions.O*NET Task ID 21553 | 0.5 |
Explain assessed values to property owners and defend appealed assessments at public hearings.O*NET Task ID 21554 | 0.5 |
Identify the ownership of each piece of taxable property.O*NET Task ID 21555 | 0.5 |
Inspect properties, considering factors such as market value, location, and building or replacement costs to determine appraisal value.O*NET Task ID 21556 | 0.5 |
Complete and maintain assessment rolls that show the assessed values and status of all property in a municipality.O*NET Task ID 21557 | 0.5 |
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