Data Sources

This document lists all data sources used in the Digital/AI Jobs Demand & Supply Dashboard.

Primary Data Sources

1. World Bank Global Jobs Indicators Database

Description: Comprehensive database of job-related indicators across countries.

Indicators Used: - Employment in ICT services (% of total employment) - Indicator Code: SL.EMP.ICTI.ZS - Employment in ICT manufacturing (% of total employment) - Indicator Code: SL.EMP.ICTM.ZS

Access Method: World Bank API (https://api.worldbank.org/v2)

License: Public domain / Creative Commons Attribution 4.0

Status: ✅ Integrated (via API)

2. World Bank Global Labor Database (GLD)

Source: World Bank GLD Repository

Description: Harmonized microdata from labor force surveys across multiple countries.

Data Types: - Harmonized labor force survey data - Employment statistics by country - Demographic and labor market indicators

Access Method: - World Bank GLD Server (official use) - Datalibweb (public access) - Microdata Library - GitHub repository

License: Varies by survey (Public, Official Use, or Restricted)

Status: ⚠️ Sample data used for demonstration (real data requires access permissions)

Documentation: GLD Manual

3. World Bank Open Data (Data360)

Source: World Bank Open Data

Description: Free and open access to global development data.

Indicators Used: - ICT goods exports (% of total goods exports) - Indicator Code: TX.VAL.ICTG.ZS.UN - ICT goods imports (% of total goods imports) - Indicator Code: TM.VAL.ICTG.ZS.UN - Labor force participation rate, total (% of total population ages 15+)

Access Method: World Bank API

License: Public domain

Status: ✅ Integrated (via API)

Platform: Data360

4. ITU ICT Data Hub

Source: ITU ICT Data Hub

Description: International Telecommunication Union’s comprehensive database of ICT statistics.

Indicators Used: - Mobile cellular subscriptions per 100 people - Indicator Code: IT.CEL.SETS.P2 - Internet users (% of population) - Indicator Code: IT.NET.USER.ZS - Fixed broadband subscriptions per 100 people - Indicator Code: IT.NET.BBND.P2

Access Method: World Bank API (ITU indicators available through WB API)

License: Public domain

Status: ✅ Integrated (via World Bank API)

5. International Labor Organization (ILO)

Source: ILO Statistics

Description: International labor organization statistics on employment and labor markets.

Data Types: - Employment statistics - Labor market indicators - Workforce demographics

Access Method: ILO API / Web portal

License: Public domain (with attribution)

Status: ⚠️ Referenced (not directly integrated in current version)

Note: ILO data can be integrated via their API or downloaded datasets.

6. Global Findex Digital Connectivity Tracker

Source: World Bank Global Findex

Description: Database on how adults in 160+ economies save, borrow, make payments, and manage risk, including digital financial services.

Relevance: Digital connectivity and financial inclusion metrics related to digital job opportunities.

Access Method: World Bank Global Findex database

License: Public domain

Status: ⚠️ Referenced (not directly integrated in current version)

7. Anthropic EconomicIndex Dataset

Source: Hugging Face - Anthropic EconomicIndex

Description: Comprehensive dataset tracking economic indicators related to AI and technology impacts on labor markets and economic activity.

Data Types: - Economic indicators related to AI adoption - Labor market impacts - Technology sector metrics - Economic index measurements

Access Method: Hugging Face Datasets library / Direct download

License: MIT License

Status: ⚠️ Available for integration (requires Hugging Face datasets library)

Documentation: Dataset Card

Integration Note: Can be loaded using:

from datasets import load_dataset
dataset = load_dataset("Anthropic/EconomicIndex", "release_2025_09_15")

8. Stanford AI Index Report 2025

Source: Stanford HAI - AI Index Report 2025

Description: Comprehensive annual report tracking AI progress, including research, technical performance, responsible AI, economy, science, policy, education, and public opinion.

Key Metrics: - AI research and development trends - Technical performance benchmarks - Private AI investment data - AI model development statistics - Labor market impacts - Public opinion on AI

Access Method: - Public data access via AI Index Public Data - Report downloads (PDF) - Data visualizations and datasets

License: Public domain / Open access

Status: ⚠️ Available for integration (data available via public data portal)

Key Insights Relevant to Dashboard: - U.S. private AI investment: $109.1 billion (2024) - 78% of organizations reported using AI in 2024 - AI boosts productivity and helps narrow skill gaps - Performance gaps between top AI models shrinking

Documentation: 2025 AI Index Report

9. PwC AI Jobs Barometer

Source: PwC AI Jobs Barometer

Description: Comprehensive analysis of AI’s impact on jobs, tracking job postings, skills demand, and labor market transformations across industries and regions.

Data Types: - AI job posting trends - Skills demand analysis - Industry-level job impacts - Regional variations in AI job markets - Supply and demand dynamics

Access Method: - Annual reports (PDF downloads) - 2025 AI Jobs Barometer report - 2024 AI Jobs Barometer report (historical data)

License: PwC proprietary (publicly available reports)

Status: ⚠️ Available for integration (via report analysis and data extraction)

Reports Available: - 2025 AI Jobs Barometer (Full report and Executive summary) - 2024 AI Jobs Barometer (Historical comparison)

Relevance: Directly addresses Challenge 8 requirements for understanding digital/AI job demand and supply trends.

10. Yale Budget Lab - Evaluating Impact of AI on Labor Market

Source: Yale Budget Lab Research

Description: Research and analysis on the current state of AI’s impact on labor markets, including displacement effects, job creation, and workforce transitions.

Data Types: - Labor market impact assessments - Job displacement analysis - Workforce transition metrics - Economic impact evaluations

Access Method: Research publications and datasets

License: Academic research (check specific publication licenses)

Status: ⚠️ Available for integration (via research publications)

Relevance: Provides academic perspective on AI labor market impacts, complementing industry and government data sources.

11. McKinsey - Economic Potential of Generative AI

Source: McKinsey - The Economic Potential of Generative AI

Description: Comprehensive analysis of generative AI’s economic potential, productivity impacts, and implications for the future of work across industries.

Key Insights: - Economic value potential of generative AI - Productivity gains by industry - Workforce implications - Skills transformation requirements - Regional economic impacts

Access Method: - Research reports and articles - Data visualizations - Industry-specific analyses

License: McKinsey proprietary (publicly available insights)

Status: ⚠️ Available for integration (via report analysis and insights extraction)

Relevance: Provides strategic insights on generative AI’s economic impact, which directly relates to digital/AI job demand forecasting.

Key Findings: - Generative AI could add trillions of dollars in value to global economy - Significant productivity gains across knowledge work sectors - Transformation of work activities and required skills

Sample/Demonstration Data

12. Generated Sample Data

Description: Sample digital/AI jobs data created for demonstration purposes.

Coverage: - 20 countries (USA, CHN, IND, BRA, MEX, IDN, TUR, THA, VNM, PHL, BGD, PAK, NGA, EGY, ZAF, KEN, GHA, ETH, TZA, UGA) - 8 industries (Information Technology, Financial Services, Manufacturing, Healthcare, Education, Retail, Telecommunications, Professional Services) - 8 skill types (AI/ML Engineering, Data Science, Software Development, Cybersecurity, Cloud Computing, Digital Marketing, Data Analytics, IT Support) - Years: 2015-2024

Purpose: Demonstrates dashboard functionality when real data sources require authentication or are not yet integrated.

Status: ✅ Currently in use (to be replaced with real data sources)

Note: In production, this would be replaced with: - Real job posting APIs (LinkedIn, Indeed, etc.) - Actual GLD harmonized microdata - Complete World Bank indicators - ILO and ITU datasets

Data Access Methods

World Bank API

Endpoint: https://api.worldbank.org/v2 Format: JSON Rate Limits: Standard API rate limits apply Documentation: World Bank API Documentation

Direct Downloads

Some data sources may require: - Direct download from data portals - API authentication - Registration for restricted datasets

Data Processing

All data is processed and stored in a DuckDB database (digital_jobs.duckdb) for efficient querying and analysis.

Database Structure: - wb_indicators: World Bank indicator data - digital_jobs: Digital/AI jobs data (sample or real) - country_trends: Aggregated country-level trends (view) - industry_trends: Aggregated industry-level trends (view) - skill_trends: Aggregated skill-level trends (view) - rising_lagging_countries: Rising vs lagging analysis (view)

Data Limitations

API Access: Some World Bank API endpoints may require authentication or have rate limits
Sample Data: Current implementation uses sample data for demonstration
Coverage: Not all countries may have complete data for all indicators
Time Periods: Data availability varies by country and indicator
Real-time Updates: Data may not be updated in real-time

Future Data Integration

The following data sources are identified and available for integration:

Priority Integration Sources:

Anthropic EconomicIndex Dataset (Hugging Face)
- Ready for integration via Hugging Face datasets library
- Provides economic indicators related to AI impacts
- Status: ⚠️ Ready for integration
Stanford AI Index Public Data
- Comprehensive AI metrics and trends
- Investment and adoption data
- Status: ⚠️ Available via public data portal
PwC AI Jobs Barometer Data
- Direct job posting trends
- Skills demand analysis
- Status: ⚠️ Requires data extraction from reports
Yale Budget Lab Research Data
- Academic research on AI labor impacts
- Status: ⚠️ Requires data extraction from publications
McKinsey Generative AI Insights
- Economic potential analysis
- Productivity impact data
- Status: ⚠️ Requires data extraction from reports

Additional Potential Sources:

Job Posting APIs:
- LinkedIn Jobs API
- Indeed API
- Glassdoor API
- Other job board APIs
AI/ML Job Specific Sources:
- AI job postings datasets
- Tech job market reports
- Skills demand surveys
Satellite Data:
- Night-lights data (as mentioned in challenge description)
- Economic activity indicators
Additional World Bank Sources:
- Complete Global Jobs Indicators Database
- Full GLD harmonized microdata
- Additional development indicators

Data Attribution

When using this dashboard or its data, please attribute:

World Bank: “Data from The World Bank (https://data.worldbank.org)”
ITU: “Data from International Telecommunication Union (https://datahub.itu.int/)”
ILO: “Data from International Labour Organization (https://ilostat.ilo.org/)”
GLD: “Data from World Bank Global Labor Database (https://worldbank.github.io/gld/)”
Anthropic: “Data from Anthropic EconomicIndex Dataset (https://huggingface.co/datasets/Anthropic/EconomicIndex)”
Stanford HAI: “Data from Stanford AI Index Report 2025 (https://hai.stanford.edu/ai-index/2025-ai-index-report)”
PwC: “Data from PwC AI Jobs Barometer (https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html)”
Yale Budget Lab: “Research from Yale Budget Lab (https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs)”
McKinsey: “Insights from McKinsey - Economic Potential of Generative AI (https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier)”

Contact & Support

For questions about data sources: - World Bank Data: data@worldbank.org - GLD: See GLD Contact - ITU: Contact via ITU Data Hub - ILO: Contact via ILO Statistics

Last Updated

January 2025

References

# Data Sources This document lists all data sources used in the Digital/AI Jobs Demand & Supply Dashboard. ## Primary Data Sources ### 1. World Bank Global Jobs Indicators Database **Source:** [World Bank Data Catalog](https://datacatalog.worldbank.org/search/dataset/0037526/Global-Jobs-Indicators-Database) **Description:** Comprehensive database of job-related indicators across countries. **Indicators Used:** - Employment in ICT services (% of total employment) - Indicator Code: `SL.EMP.ICTI.ZS` - Employment in ICT manufacturing (% of total employment) - Indicator Code: `SL.EMP.ICTM.ZS` **Access Method:** World Bank API (`https://api.worldbank.org/v2`) **License:** Public domain / Creative Commons Attribution 4.0 **Status:** ✅ Integrated (via API) --- ### 2. World Bank Global Labor Database (GLD) **Source:** [World Bank GLD Repository](https://worldbank.github.io/gld/) **Description:** Harmonized microdata from labor force surveys across multiple countries. **Data Types:** - Harmonized labor force survey data - Employment statistics by country - Demographic and labor market indicators **Access Method:** - World Bank GLD Server (official use) - Datalibweb (public access) - Microdata Library - GitHub repository **License:** Varies by survey (Public, Official Use, or Restricted) **Status:** ⚠️ Sample data used for demonstration (real data requires access permissions) **Documentation:** [GLD Manual](https://worldbank.github.io/gld/Support/A%20-%20Guides%20and%20Documentation/GLD%20Manual%20Files/GLD%20content%2C%20storage%2C%20and%20access.html) --- ### 3. World Bank Open Data (Data360) **Source:** [World Bank Open Data](https://data.worldbank.org/) **Description:** Free and open access to global development data. **Indicators Used:** - ICT goods exports (% of total goods exports) - Indicator Code: `TX.VAL.ICTG.ZS.UN` - ICT goods imports (% of total goods imports) - Indicator Code: `TM.VAL.ICTG.ZS.UN` - Labor force participation rate, total (% of total population ages 15+) **Access Method:** World Bank API **License:** Public domain **Status:** ✅ Integrated (via API) **Platform:** [Data360](https://data360.worldbank.org/) --- ### 4. ITU ICT Data Hub **Source:** [ITU ICT Data Hub](https://datahub.itu.int/) **Description:** International Telecommunication Union's comprehensive database of ICT statistics. **Indicators Used:** - Mobile cellular subscriptions per 100 people - Indicator Code: `IT.CEL.SETS.P2` - Internet users (% of population) - Indicator Code: `IT.NET.USER.ZS` - Fixed broadband subscriptions per 100 people - Indicator Code: `IT.NET.BBND.P2` **Access Method:** World Bank API (ITU indicators available through WB API) **License:** Public domain **Status:** ✅ Integrated (via World Bank API) --- ### 5. International Labor Organization (ILO) **Source:** [ILO Statistics](https://ilostat.ilo.org/topics/employment/) **Description:** International labor organization statistics on employment and labor markets. **Data Types:** - Employment statistics - Labor market indicators - Workforce demographics **Access Method:** ILO API / Web portal **License:** Public domain (with attribution) **Status:** ⚠️ Referenced (not directly integrated in current version) **Note:** ILO data can be integrated via their API or downloaded datasets. --- ### 6. Global Findex Digital Connectivity Tracker **Source:** [World Bank Global Findex](https://www.worldbank.org/en/publication/globalfindex) **Description:** Database on how adults in 160+ economies save, borrow, make payments, and manage risk, including digital financial services. **Relevance:** Digital connectivity and financial inclusion metrics related to digital job opportunities. **Access Method:** World Bank Global Findex database **License:** Public domain **Status:** ⚠️ Referenced (not directly integrated in current version) --- ### 7. Anthropic EconomicIndex Dataset **Source:** [Hugging Face - Anthropic EconomicIndex](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_09_15) **Description:** Comprehensive dataset tracking economic indicators related to AI and technology impacts on labor markets and economic activity. **Data Types:** - Economic indicators related to AI adoption - Labor market impacts - Technology sector metrics - Economic index measurements **Access Method:** Hugging Face Datasets library / Direct download **License:** MIT License **Status:** ⚠️ Available for integration (requires Hugging Face datasets library) **Documentation:** [Dataset Card](https://huggingface.co/datasets/Anthropic/EconomicIndex) **Integration Note:** Can be loaded using: ```python from datasets import load_dataset dataset = load_dataset("Anthropic/EconomicIndex", "release_2025_09_15") ``` --- ### 8. Stanford AI Index Report 2025 **Source:** [Stanford HAI - AI Index Report 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report) **Description:** Comprehensive annual report tracking AI progress, including research, technical performance, responsible AI, economy, science, policy, education, and public opinion. **Key Metrics:** - AI research and development trends - Technical performance benchmarks - Private AI investment data - AI model development statistics - Labor market impacts - Public opinion on AI **Access Method:** - Public data access via [AI Index Public Data](https://hai.stanford.edu/ai-index/2025-ai-index-report) - Report downloads (PDF) - Data visualizations and datasets **License:** Public domain / Open access **Status:** ⚠️ Available for integration (data available via public data portal) **Key Insights Relevant to Dashboard:** - U.S. private AI investment: $109.1 billion (2024) - 78% of organizations reported using AI in 2024 - AI boosts productivity and helps narrow skill gaps - Performance gaps between top AI models shrinking **Documentation:** [2025 AI Index Report](https://hai.stanford.edu/ai-index/2025-ai-index-report) --- ### 9. PwC AI Jobs Barometer **Source:** [PwC AI Jobs Barometer](https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html) **Description:** Comprehensive analysis of AI's impact on jobs, tracking job postings, skills demand, and labor market transformations across industries and regions. **Data Types:** - AI job posting trends - Skills demand analysis - Industry-level job impacts - Regional variations in AI job markets - Supply and demand dynamics **Access Method:** - Annual reports (PDF downloads) - 2025 AI Jobs Barometer report - 2024 AI Jobs Barometer report (historical data) **License:** PwC proprietary (publicly available reports) **Status:** ⚠️ Available for integration (via report analysis and data extraction) **Reports Available:** - 2025 AI Jobs Barometer (Full report and Executive summary) - 2024 AI Jobs Barometer (Historical comparison) **Relevance:** Directly addresses Challenge 8 requirements for understanding digital/AI job demand and supply trends. --- ### 10. Yale Budget Lab - Evaluating Impact of AI on Labor Market **Source:** [Yale Budget Lab Research](https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs) **Description:** Research and analysis on the current state of AI's impact on labor markets, including displacement effects, job creation, and workforce transitions. **Data Types:** - Labor market impact assessments - Job displacement analysis - Workforce transition metrics - Economic impact evaluations **Access Method:** Research publications and datasets **License:** Academic research (check specific publication licenses) **Status:** ⚠️ Available for integration (via research publications) **Relevance:** Provides academic perspective on AI labor market impacts, complementing industry and government data sources. --- ### 11. McKinsey - Economic Potential of Generative AI **Source:** [McKinsey - The Economic Potential of Generative AI](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier) **Description:** Comprehensive analysis of generative AI's economic potential, productivity impacts, and implications for the future of work across industries. **Key Insights:** - Economic value potential of generative AI - Productivity gains by industry - Workforce implications - Skills transformation requirements - Regional economic impacts **Access Method:** - Research reports and articles - Data visualizations - Industry-specific analyses **License:** McKinsey proprietary (publicly available insights) **Status:** ⚠️ Available for integration (via report analysis and insights extraction) **Relevance:** Provides strategic insights on generative AI's economic impact, which directly relates to digital/AI job demand forecasting. **Key Findings:** - Generative AI could add trillions of dollars in value to global economy - Significant productivity gains across knowledge work sectors - Transformation of work activities and required skills --- ## Sample/Demonstration Data ### 12. Generated Sample Data **Description:** Sample digital/AI jobs data created for demonstration purposes. **Coverage:** - 20 countries (USA, CHN, IND, BRA, MEX, IDN, TUR, THA, VNM, PHL, BGD, PAK, NGA, EGY, ZAF, KEN, GHA, ETH, TZA, UGA) - 8 industries (Information Technology, Financial Services, Manufacturing, Healthcare, Education, Retail, Telecommunications, Professional Services) - 8 skill types (AI/ML Engineering, Data Science, Software Development, Cybersecurity, Cloud Computing, Digital Marketing, Data Analytics, IT Support) - Years: 2015-2024 **Purpose:** Demonstrates dashboard functionality when real data sources require authentication or are not yet integrated. **Status:** ✅ Currently in use (to be replaced with real data sources) **Note:** In production, this would be replaced with: - Real job posting APIs (LinkedIn, Indeed, etc.) - Actual GLD harmonized microdata - Complete World Bank indicators - ILO and ITU datasets --- ## Data Access Methods ### World Bank API **Endpoint:** `https://api.worldbank.org/v2` **Format:** JSON **Rate Limits:** Standard API rate limits apply **Documentation:** [World Bank API Documentation](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation) ### Direct Downloads Some data sources may require: - Direct download from data portals - API authentication - Registration for restricted datasets --- ## Data Processing All data is processed and stored in a **DuckDB** database (`digital_jobs.duckdb`) for efficient querying and analysis. **Database Structure:** - `wb_indicators`: World Bank indicator data - `digital_jobs`: Digital/AI jobs data (sample or real) - `country_trends`: Aggregated country-level trends (view) - `industry_trends`: Aggregated industry-level trends (view) - `skill_trends`: Aggregated skill-level trends (view) - `rising_lagging_countries`: Rising vs lagging analysis (view) --- ## Data Limitations 1. **API Access:** Some World Bank API endpoints may require authentication or have rate limits 2. **Sample Data:** Current implementation uses sample data for demonstration 3. **Coverage:** Not all countries may have complete data for all indicators 4. **Time Periods:** Data availability varies by country and indicator 5. **Real-time Updates:** Data may not be updated in real-time --- ## Future Data Integration The following data sources are identified and available for integration: ### Priority Integration Sources: 1. **Anthropic EconomicIndex Dataset** (Hugging Face) - Ready for integration via Hugging Face datasets library - Provides economic indicators related to AI impacts - Status: ⚠️ Ready for integration 2. **Stanford AI Index Public Data** - Comprehensive AI metrics and trends - Investment and adoption data - Status: ⚠️ Available via public data portal 3. **PwC AI Jobs Barometer Data** - Direct job posting trends - Skills demand analysis - Status: ⚠️ Requires data extraction from reports 4. **Yale Budget Lab Research Data** - Academic research on AI labor impacts - Status: ⚠️ Requires data extraction from publications 5. **McKinsey Generative AI Insights** - Economic potential analysis - Productivity impact data - Status: ⚠️ Requires data extraction from reports ### Additional Potential Sources: 1. **Job Posting APIs:** - LinkedIn Jobs API - Indeed API - Glassdoor API - Other job board APIs 2. **AI/ML Job Specific Sources:** - AI job postings datasets - Tech job market reports - Skills demand surveys 3. **Satellite Data:** - Night-lights data (as mentioned in challenge description) - Economic activity indicators 4. **Additional World Bank Sources:** - Complete Global Jobs Indicators Database - Full GLD harmonized microdata - Additional development indicators --- ## Data Attribution When using this dashboard or its data, please attribute: - **World Bank:** "Data from The World Bank (https://data.worldbank.org)" - **ITU:** "Data from International Telecommunication Union (https://datahub.itu.int/)" - **ILO:** "Data from International Labour Organization (https://ilostat.ilo.org/)" - **GLD:** "Data from World Bank Global Labor Database (https://worldbank.github.io/gld/)" - **Anthropic:** "Data from Anthropic EconomicIndex Dataset (https://huggingface.co/datasets/Anthropic/EconomicIndex)" - **Stanford HAI:** "Data from Stanford AI Index Report 2025 (https://hai.stanford.edu/ai-index/2025-ai-index-report)" - **PwC:** "Data from PwC AI Jobs Barometer (https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html)" - **Yale Budget Lab:** "Research from Yale Budget Lab (https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs)" - **McKinsey:** "Insights from McKinsey - Economic Potential of Generative AI (https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier)" --- ## Contact & Support For questions about data sources: - **World Bank Data:** data@worldbank.org - **GLD:** See [GLD Contact](https://worldbank.github.io/gld/) - **ITU:** Contact via [ITU Data Hub](https://datahub.itu.int/) - **ILO:** Contact via [ILO Statistics](https://ilostat.ilo.org/) --- ## Last Updated January 2025 --- ## References 1. [World Bank Global Jobs Indicators Database](https://datacatalog.worldbank.org/search/dataset/0037526/Global-Jobs-Indicators-Database) 2. [World Bank Open Data](https://data.worldbank.org/) 3. [World Bank Global Labor Database](https://worldbank.github.io/gld/) 4. [ILO Statistics](https://ilostat.ilo.org/topics/employment/) 5. [ITU ICT Data Hub](https://datahub.itu.int/) 6. [Global Findex](https://www.worldbank.org/en/publication/globalfindex) 7. [World Bank API Documentation](https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation) 8. [Anthropic EconomicIndex Dataset](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_09_15) 9. [Stanford AI Index Report 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report) 10. [PwC AI Jobs Barometer](https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html) 11. [Yale Budget Lab - AI Labor Market Impact](https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs) 12. [McKinsey - Economic Potential of Generative AI](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier)