The Dual Edge Sword of AI Automation: Job Displacement vs. Job Creation

The Dual Edge Sword of AI Automation: Job Displacement vs. Job Creation

Artificial intelligence (AI) automation has been disrupting various industries, and while it offers many benefits such as increased efficiency, accuracy, and scalability, it also poses significant challenges. One of the most pressing concerns is job displacement, where the automation of tasks may result in job loss or require workers to reskill or find new employment opportunities.

Job displacement is a valid concern, as AI technology can perform tasks faster, more accurately, and with greater efficiency than humans, making some jobs obsolete. However, it's important to note that AI automation also creates new job opportunities in areas such as AI development, data analysis, and cybersecurity. Additionally, AI automation can also lead to increased productivity, lower costs, and improved competitiveness, which can stimulate job growth in other areas of the business.

To minimize the impact of job displacement, businesses must take a proactive approach to reskilling and upskilling their workforce. This can involve providing training programs to help workers learn new skills and transition to new roles within the organization. It can also involve collaborating with educational institutions and other stakeholders to create new training programs and certifications that align with the needs of the business.

For example, a manufacturing company that automates its assembly line can train its workers to operate and maintain the machines, or to take on new roles in areas such as quality control or logistics. Similarly, a retail company that automates its inventory management can train its employees to focus on customer service, sales, or e-commerce.

Governments and policymakers also have a role to play in addressing the impact of job displacement caused by AI automation. This can include implementing social safety nets and providing support for workers who have lost their jobs due to automation. It can also involve creating policies that encourage businesses to invest in training and reskilling their workforce.

For instance, some countries have implemented programs that provide financial incentives to businesses that invest in training and reskilling their employees. Others have created tax credits or subsidies for businesses that hire and train workers in new areas. Governments can also work with educational institutions to develop new training programs that align with the needs of the labor market.

In conclusion, while AI automation may lead to job displacement, it also creates new job opportunities and can stimulate job growth in other areas of the business. To minimize the impact of job displacement, businesses must take a proactive approach to reskilling and upskilling their workforce, while governments and policymakers can implement policies that provide support for workers who have been affected by automation. By doing so, we can ensure that the benefits of AI automation are realized while minimizing its potential negative effects.

Kajal Singh

HR Operations | Implementation of HRIS systems & Employee Onboarding | HR Policies | Exit Interviews

7mo

Rightly said. The influential 2013 study by Frey and Osborne predicted a significant risk of job automation. It estimated around 47% of the employment in the US is at high risk, which may potentially affect 75 million jobs by 2023 or latest by 2033. However, as of 2023, with the US nearing full employment and around 160 million workers employed, at least so far, the actual impact appears negligible. Several factors contribute to this discrepancy and suggest a slower integration of AI into society: Time Required for Integration: Like the past industrial revolutions, AI and automation are expected to take decades before becoming integral to society. Infrastructure Challenges: Building new infrastructure for data collation, cleansing, and transmission for widespread AI adoption will take substantial time. Underestimation by Experts: Most think-tanks are underestimating the time AI and automation will take to impact society, possibly by a factor of two or more. Despite opportunities to reduce labor costs through outsourcing, the US experienced limited job losses over the past four decades, challenging the hypothesis of massive job displacement due to AI in the next decade. More about this topic: https://lnkd.in/gPjFMgy7

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