According to me, I am equally on both sides of AI that it will give jobs and also erase some of the roles that are affected or re-transformed by the introduction of AI. AI stands for Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and lRead more
According to me, I am equally on both sides of AI that it will give jobs and also erase some of the roles that are affected or re-transformed by the introduction of AI. AI stands for Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn like humans that means that humans are the original brain or the ringmaster for these AI technologies without humans they are operatable but not executable in every certain aspect of the development of any technologies the AI is not the only researcher or creator of the new way, it will provide you the roadmap to execute but how to make AI to execute is upon humans with their programmed thinking and our creativity and innovation thinking. So, by discussing all these things I want to say that without humans AI is also not working they are directly proportional to each other but from the job perspective, to ease the task of the humans there might be the possibility it is happening AI is replacing the jobs of humans but it is also true that it creates a new category of jobs also for which we have to evolve or learn it to execute it.
So, I am highlighting some points where AI can generate a job for us:
- Development and Maintenance: Roles such as AI researchers, data scientists, machine learning engineers, and AI ethicists will be in demand.
- Industry-Specific Applications: Sectors like healthcare, finance, and transportation will need professionals to implement and manage AI solutions (e.g., AI-assisted diagnostics, financial forecasting, autonomous vehicles).
- Support and Enhancement: New jobs will emerge to support AI systems, including roles in AI training, data annotation, and system maintenance.
- Entrepreneurship and Innovation: AI will drive the creation of new businesses and startups focused on AI-driven products and services.
Highlighting some points where AI transform the jobs:
AI will transform many existing jobs, enhancing productivity and changing the nature of work:
- Augmented Roles: Jobs in fields like customer service, marketing, and logistics will be augmented with AI tools, improving efficiency and enabling workers to focus on more complex and creative tasks.
- Reskilling and Upskilling: There will be a significant demand for reskilling and upskilling workers to interact with and leverage AI technologies effectively.
AI will also automate certain tasks and roles, leading to job displacement:
- Routine and Repetitive Tasks: Jobs that involve repetitive and routine tasks, such as data entry, basic manufacturing, and simple administrative work, are at high risk of automation.
- Predictable Physical Work: Roles in sectors like retail and manufacturing that involve predictable physical activities are likely to be automated.
In conclusion, I would like to say that AI will undoubtedly eliminate certain jobs, it also has the potential to create new opportunities and transform existing roles in ways that enhance productivity and innovation. The overall impact on job creation versus elimination will largely depend on how society, businesses, and policymakers respond to and manage these changes. By investing in education, training, and supportive policies, it is possible to maximize the benefits of AI and mitigate its negative impacts on employment.
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The female labour force participation rate (FLFPR) in India portrays the working women in a distorted manner in the economic market. The FLFPR, which is normally conducted by the proportion of women in the disposed employment state, fails to take into consideration women’s house and care work. ManyRead more
The female labour force participation rate (FLFPR) in India portrays the working women in a distorted manner in the economic market. The FLFPR, which is normally conducted by the proportion of women in the disposed employment state, fails to take into consideration women’s house and care work. Many women are engaged in marginal farming, or in farming at all are measured in common last figures as merchants, artisans, mostly in family run businesses, and millions are involved in home-based work in various capacities, yet most of these are invisible and unrecognized in the contributions to Gross Domestic Product.
Note also the point that the demographic characteristics of the society where the FLFPR is being conducted affects it too and particularly cultural Beliefs and practices. It is typical in numerous regions to pay inadequate attention to women’s employment and most cultures women practice are biased toward more emphasis on homemaking as opposed to employment. In addition to that, norms such as security risks, absence and inflexibility of work from home possibilities and the lack of child care facilities make it difficult for many women to hold a paid employment in the country.
In addition, the women that do get involved in the workforce face severe discrimination and are likely to be paid less and never have a good opportunity to be promoted thus forcing them to quit work. Thus, while the FLFPR provides the information about the women’s employment, the same does not paint the actual picture of the contribution of each woman towards the GDP of India. It is crucial to underline that expanding the vision of woman’s economic engagement means focusing on these aspects as well.
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