AI and Employment in Development Countries

1. Conclusion

1.1. Balacing Opportunities and Risks

1.2. Investment in Education and Infrastructure

1.3. Regulation Measures

1.4. Sustainable Economic Development

1.5. Balacing Opportunities and Risks

2. Introduction

2.1. Global AI Adoption

2.2. Impact on Industries

2.3. Opportunities vs. Risks

2.4. Objectives of Essay

3. Backgound on AI and Employment

3.1. Defination of AI

3.2. AI Integration in Sectors

3.2.1. Agriculture

3.2.2. Healtcare

3.3. Workforce Composition in Developing Countries

3.4. Opportunities and Challenges

4. Opportunities Presented by AI

4.1. Economic Growth and New Job Creation

4.1.1. Increased Efficiency

4.1.2. Automation in Manufacturing

4.1.3. Precision Farming

4.1.4. Education Programs for New Skills

4.2. Enhancement Programs for New Skills

4.2.1. Healthcare Advancements

4.2.2. AI in Manufacturing

4.2.3. Supply Chain Management

5. Risks Associated with AI

5.1. Job Displacement and Inequality

5.1.1. Unemplyment Risk for Low-Skilled Workers

5.1.2. Economic Disparities

5.2. Challenges in AI Implemention

5.2.1. Inadequate Infrastructure

5.2.2. Limited Education Access

5.2.3. Regulation Challenges

6. Case Studies

6.1. India: Agriculture

6.2. Rwanda: Healthcare

6.2.1. AI in Disease Diagnosis

6.2.2. Job Creation in AI Development and Data Management

6.3. India: Agriculture

6.3.1. AI in Weather Prediction and Irrigation

6.3.2. Impact on Manual Labour

6.3.3. AI in Weather Prediction and Irrigation