SIP Systematic Investment Plan and what is Mutual Fund

Systematic Investment Plan: Almost every citizen of India well aware of the importance of investment. In this modern world, investing your hard earned money wisely is essential to achieve your…

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30 Jobs or Industries That AI Will Destroy by the End of 2024

Artificial intelligence (AI) has revolutionized the way we live, work, and interact with one another. While AI has created significant opportunities for growth and innovation, it has also raised concerns about the potential displacement of jobs and industries. In this article, we will discuss 30 jobs or industries that are at risk of being significantly impacted or destroyed by AI by the end of 2024, supported by examples, details, statistics, and news.

Automation and robotics have already transformed the manufacturing industry. According to a report by the World Economic Forum, 50% of all companies expect that by 2025, automation will lead to a reduction in their full-time workforce[¹^]. This trend is expected to continue, with jobs in repetitive tasks such as assembly lines being replaced by AI-driven machinery.

AI has been making inroads in the retail industry, with applications ranging from inventory management to customer service. According to Gartner, by 2023, retailers using AI-powered applications will achieve a 30% increase in operational efficiency[²^]. As a result, jobs like cashiers and sales assistants may become obsolete as AI takes over these roles.

AI has the potential to revolutionize the banking and finance industry, with applications in areas like fraud detection, risk assessment, and customer service. According to Accenture, AI could eliminate up to 230,000 jobs in the finance sector by 2025[³^]. Roles like loan officers and financial analysts may be displaced as AI-powered tools become more prevalent.

Data entry jobs are at high risk of being automated, as AI-powered tools can process and analyze data much faster and more accurately than humans. According to McKinsey, around 64% of data collecting and processing tasks have the potential to be automated[⁴^].

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