Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment
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Muhammad Suhrab
Abstract
This study evaluated the impact of artificial intelligence (AI) and automation on income inequality in the BRICS countries (Brazil, Russia, India, China, and South Africa). The study thoroughly examined the moderating role of structural factors and women’s empowerment on the effect of AI and automation using desktop research that included 75 journal articles, 31 reports, and 45 other key documents. It was discovered that while automation boosts productivity and decreases costs, it also has a detrimental impact on income inequality since it eliminates low-wage, low-skill jobs, which results in job losses and salary reductions in the manufacturing and service sectors. By increasing access to education and presenting equitable opportunities in the workplace, women’s economic empowerment may contribute to the reduction of the economic disparity brought on by automation. Governments should promote an equitable distribution of wealth and resources through progressive taxes and welfare policies in order to reduce economic inequality. While considering financial inequity and poverty, AI and automation should be used to boost economic mobility and eliminate poverty.
Abstract
This study evaluated the impact of artificial intelligence (AI) and automation on income inequality in the BRICS countries (Brazil, Russia, India, China, and South Africa). The study thoroughly examined the moderating role of structural factors and women’s empowerment on the effect of AI and automation using desktop research that included 75 journal articles, 31 reports, and 45 other key documents. It was discovered that while automation boosts productivity and decreases costs, it also has a detrimental impact on income inequality since it eliminates low-wage, low-skill jobs, which results in job losses and salary reductions in the manufacturing and service sectors. By increasing access to education and presenting equitable opportunities in the workplace, women’s economic empowerment may contribute to the reduction of the economic disparity brought on by automation. Governments should promote an equitable distribution of wealth and resources through progressive taxes and welfare policies in order to reduce economic inequality. While considering financial inequity and poverty, AI and automation should be used to boost economic mobility and eliminate poverty.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
