what are the thoughts on sudden AI boom which are impacting the job market and lot of job cuts can be seen by big tech giants
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A World Development Report predicts 69% of the jobs at risk by automation by 2033, whilst a news article published in The Economist (2019) asserts that despite regressive effects in the short-run, “the evolving system will eventually record growing opportunities.” (long-run)
The main issue faced is that of “jobless growth”, a complex, futile phenomena lead to by the advent of Generative AI: jobs with little to no access to social security accompanying lack of basic amenities. The polarization of jobs and simultaneously wages, in the high and low-skilled sectors give birth to recessionary forces, leading to extreme inequality.
In 2024, India translates employment opportunities regained into the informal sectors, self-employment and contractualization, all of which are drivers to pseudo-developmental progression. The demand for skills in specific sectors of artificial intelligence, machine learning and data analytics are exponential.
Concluding:
As much as can be understood by the data, an urgent action for vocational training, skill development initiatives and AI training facilities is an imperative for the State as to not replicate the economic situation in the pandemic. Long-run employment generation calls for a transformative education strategy and a technological upgradation of the entire nation. Only then can job growth be sustained.
The AI boom will likely have both negative and positive impacts on the job market in the long run. On the negative side, AI and automation can displace jobs, particularly those involving routine and repetitive tasks in sectors like manufacturing, customer service, and data entry. This displacement can lead to significant job losses and economic disruption for affected workers, who may need to retrain and adapt to new roles.
However, AI is also expected to generate new types of jobs and industries. As AI technology advances, there will be increased demand for roles in AI development, data science, machine learning, and cybersecurity. Jobs requiring human creativity, emotional intelligence, and complex problem-solving skills are less likely to be automated and may see growth. Additionally, AI can drive productivity improvements, leading to the creation of new markets and business models, which can spur economic growth and generate employment opportunities.
The overall impact of AI on the job market will depend on how society manages this transition. Investing in education, reskilling, and upskilling programs will be crucial to preparing the workforce for new roles. Policymakers and businesses must collaborate to ensure a balanced approach, leveraging AI’s benefits while mitigating its potential negative effects on employment.
This sudden boom in AI is having serious repercussions on job market – both positive and negative. While on the flip-side AI is automating most of routine and repetitive tasks which results in loss of jobs mainly from all those sectors where manual or administration work was involved. It is worth noting that on the way companies are already implementing such AI technologies, which has led to layoffs of employees in many sectors of economy. This trend has led to alarm about what will become of all those legacy jobs and the workers without tech skills who may struggle with finding new roles.
But then, the coming in of AI boom also opens up potential for job creation in newer areas. These activities of AI in developing, maintenance and on extensive use requires special skills leading to the requirement being heated for data scientists. As AI technology evolves, new roles and industries are likely to emerge, potentially offsetting the job losses caused by automation.
The key challenge lies in managing this transition. Workforce retraining and education will be crucial in helping displaced workers adapt to new opportunities. Policymakers and businesses must collaborate to create inclusive strategies that ensure the benefits of AI are widely shared, minimizing the negative impacts on employment while maximizing the potential for innovation and growth in the job market.