AI Final

Submission Ide: 16478a65-ca53-466f-a807-74e36bdb024e

0% SIMILARITY SCORE 0   CITATION ITEM 7   GRAMMAR ISSUES 4   FEEDBACK COMMENTS

Internet Source   0% Institution   0%

Quiana Malone

First Draft of an Op-Ed Assignment (Online)

Summary

 1250 Words  

1

2

 Faculty feedback: Complete your title page.

Jobs Being Replaced by AI Jobs Being Replaced by AI

Student's Name

Institution Affiliation

Professor's Name

Course

Date

3

change contributes to the disparity in employment opportunities since individuals who are not

technologically literate may not have the ability to compete in the job market. This has, therefore,

resulted in a stark lack of clarity for the middle class on their career prospects.

However, the impact of AI jobs on the human psyche needs to be taken seriously as well. The

loss of job satisfaction, anxiety, and stress often results from replacement concerns among workers.

Sharma et al. (2025) presented the findings from their study, where IT workers in India who felt insecure

about AI in their jobs mentioned emotional effects, career stability insecurity, and decreased professional

value. When a community's jobless rate rises, there are repercussions beyond the individual level that

affect families, as well. Lack of financial stability can result in greater stress, consumer limitations, and a

reliance on social support networks. This rapid growth of AI technologies means that there is social,

emotional, and economic disruption.

Current AI adoption patterns are mostly focused on growth and productivity at the exclusion of

safeguarding the workforce. But there are many businesses that say that AI has created more efficient

processes and new job opportunities in the tech sector. As for the role of AI in the workforce, Wang and

Lu (2024) illustrate how it might be complementary or substitute on the job, depending on the way

organizations implement the technology. AI can also help businesses by providing support to their

 Faculty feedback: Align all the paragraphs ...

Jobs Being Replaced by AI Jobs Being Replaced by AI

Artificial Intelligence (AI) is revolutionizing the way businesses run these days tremendously.

These AI systems offer a variety of advantages to businesses, such as automating repetitive tasks, boosting

productivity, and cutting down on operational expenses. These technological developments offer

efficiency, but they have significant implications for job losses and unemployment, as well as questions

about inequality in the distribution of opportunities. AI-driven technology has gone beyond a promise

and is a reality of today's business landscape, transforming the way the industry works. While AI will

enhance business productivity and generate fresh career prospects, there is a need to bolster workforce

transition initiatives between businesses and governments as massive automation increases the risk to

millions of workers' employment standards, mental health, and economic stability.

A major part of why this is a topic of interest is that it will impact a relatively large proportion of

employees when AI-driven automation becomes reality. With the advancement of technology,

industries are making greater use of AI-powered technology-driven systems to do tasks that once required

human participation, as seen in customer support, manufacturing, finance, and information technology.

Shen and Zhang (2024) report that AI development leads to a transition in the employment structure by

replacing routine labor, and by focusing the opportunities in highly specialized digital domains. This

workers in making decisions and reducing repetitive tasks. But many organizations focus on cutting costs

and opt for human resources replacements completely. This could lead to short-term gains, but create a

long-term economic imbalance if uprooted workers are unable to secure jobs elsewhere.

4

5

employment transition policies should be developed in collaboration between the government,

education, and business sectors. To alleviate the negative impacts of technological unemployment, there

is a need to promote structural changes, including reskilling programmes, public investments in

education, and enhancing employment protection measures (Nigar et al. 2025). Employers that make

money from automation should invest in workforce development and encourage workers to further their

 Faculty feedback: Add the comma (Nigar et a...

Furthermore, educational institutions and career development programs are trying to catch up

with the increasing impact of AI on the future of learning. Increasingly, schools encourage students to

acquire digital literacy and technological competencies as a way to prepare them for demands in the

labor market in the future. AI automation reshapes the traditional approach to career planning, as the

jobs students prepare for are likely to change quickly and perhaps have yet to emerge fully, argues Wong

(2024). Chapter 18 discusses career education initiatives in helping to prepare students for adaptability,

but does not provide much support for the workers being displaced. Workforce transitions may be

particularly challenging for older workers and employees of low-paying industries, who may not have

access to workforce retraining opportunities.

While there are some who suggest that while AI will ultimately generate more new roles than it

reduces, this view doesn't consider the pace and magnitude of today's job loss. In their study, Georgieff

and Hyee (2022) determined that there is a high level of restructuring in the labor market in countries

that have higher rates of AI adoption, especially in routine occupations that are more susceptible to

automation. New roles can be created in technology development and the management of AI systems,

but these roles often need special education and advanced technical skills. As people get fired from

manufacturing, retail, or administrative jobs, they might lack important skills needed for new jobs. Thus,

market adaptation alone is not enough to ensure workers' vulnerability protection.

The integration of Artificial Intelligence should be seen with a balanced view of technology and

the protection of the workers. Policy development, comprehensive retraining programs, and

Add the comma (Nigar et al., 2025).

 Faculty feedback:

 William Lehman  28-May-2026

education. Moreover, governments need to invest more in vocational training and financial support in

training for those who lost their jobs due to retraining needs.

There are also ethical guidelines for implementing AI that should be embraced by businesses,

focusing on human involvement instead of replacement. Organizations that leverage technology to

complement, not replace, the human workforce can improve productivity while reducing reliance on

humans in the process. AI systems can work alongside, not in place of, human workers to increase

productivity in an organization. For instance, AI might help workers with data analysis, scheduling, or

customer service, but still need to oversee and interact with humans. This is a judicious strategy to ensure

businesses can stay efficient while safeguarding job positions and inspiring satisfaction among workers.

The job replacement trend caused by AI is one of the biggest economic and moral dilemmas of

today's society. AI can be highly productive and innovative, but unrestricted automation could lead to a

lack of employment and poorer mental health and economic equality. Policymakers, teachers, and local

business leaders must cooperate now to ensure that technological developments do not adversely affect

human health. Governments need to build up retraining programs for employees; education should be

6

focused on educating employees to become adaptable; and businesses should have ethical plans for

automation that embrace human workers. The reliance on AI could further exacerbate economic

disparities and result in lasting social imbalance if steps aren't taken to prevent it.

References References

Georgieff, A., & Hyee, R. (2022). Artificial intelligence and employment: New cross-country

evidence. Frontiers in Artificial Intelligence, 5, Article 832736.

https://doi.org/10.3389/frai.2022.832736

Nigar, M., Juli, J. F., Golder, U., Alam, M. J., & Hossain, M. K. (2025). Artificial intelligence and

technological unemployment: Understanding trends, technology’s adverse roles, and current

 Faculty feedback: Add italics....

 have the ability t...: have the ability t...  can

 verb acquire (get, develop): acquire  get

 Spelling mistake: Georgieff  George

 Spelling mistake: Hyee  Hyde

 Spelling mistake: reskilling  deskilling

7

 Spelling mistake: programmes  programmed

 Spelling mistake: Nigar  Niger

mitigation guidelines. Journal of Open Innovation Technology Market and Complexity , 11(3),

100607. https://doi.org/10.1016/j.joitmc.2025.100607

Sharma, V., Deb, S., Mahajan, Y., Ghosal, A., & Kapse, M. (2025). Psychological impacts of AI-

induced job displacement among Indian IT professionals: a Delphi-validated thematic

analysis. International Journal of Qualitative Studies on Health and Well-Being , 20(1),

2556445. https://doi.org/10.1080/17482631.2025.2556445

Shen, Y., Zhang, X. The impact of artificial intelligence on employment: the role of virtual

agglomeration. Humanit Soc Sci Commun 1111, 122 (2024). https://doi.org/10.1057/s41599-

024-02647-9

Wang, K., & Lu, W. (2024). AI-induced job impact: Complementary or substitution? Empirical

insights and sustainable technology considerations. Sustainable Technology and

Entrepreneurship, 4(1), 100085. https://doi.org/10.1016/j.stae.2024.100085

Wong, L. P. W. (2024). Artificial intelligence and job Automation: Challenges for secondary students’

career development and life planning. Merits, 4(4), 370–399.

https://doi.org/10.3390/merits4040027

Submission Ide: 16478a65-ca53-466f-a807-74e36bdb024e

0% SIMILARITY SCORE 0   CITATION ITEM 7   GRAMMAR ISSUES 4   FEEDBACK COMMENTS

Internet Source   0% Institution   0%

Quiana Malone

First Draft of an Op-Ed Assignment (Online)

Summary

 1250 Words  

1

2

 Faculty feedback: Complete your title page.

Jobs Being Replaced by AI Jobs Being Replaced by AI

Student's Name

Institution Affiliation

Professor's Name

Course

Date

3

change contributes to the disparity in employment opportunities since individuals who are not

technologically literate may not have the ability to compete in the job market. This has, therefore,

resulted in a stark lack of clarity for the middle class on their career prospects.

However, the impact of AI jobs on the human psyche needs to be taken seriously as well. The

loss of job satisfaction, anxiety, and stress often results from replacement concerns among workers.

Sharma et al. (2025) presented the findings from their study, where IT workers in India who felt insecure

about AI in their jobs mentioned emotional effects, career stability insecurity, and decreased professional

value. When a community's jobless rate rises, there are repercussions beyond the individual level that

affect families, as well. Lack of financial stability can result in greater stress, consumer limitations, and a

reliance on social support networks. This rapid growth of AI technologies means that there is social,

emotional, and economic disruption.

Current AI adoption patterns are mostly focused on growth and productivity at the exclusion of

safeguarding the workforce. But there are many businesses that say that AI has created more efficient

processes and new job opportunities in the tech sector. As for the role of AI in the workforce, Wang and

Lu (2024) illustrate how it might be complementary or substitute on the job, depending on the way

organizations implement the technology. AI can also help businesses by providing support to their

 Faculty feedback: Align all the paragraphs ...

Jobs Being Replaced by AI Jobs Being Replaced by AI

Artificial Intelligence (AI) is revolutionizing the way businesses run these days tremendously.

These AI systems offer a variety of advantages to businesses, such as automating repetitive tasks, boosting

productivity, and cutting down on operational expenses. These technological developments offer

efficiency, but they have significant implications for job losses and unemployment, as well as questions

about inequality in the distribution of opportunities. AI-driven technology has gone beyond a promise

and is a reality of today's business landscape, transforming the way the industry works. While AI will

enhance business productivity and generate fresh career prospects, there is a need to bolster workforce

transition initiatives between businesses and governments as massive automation increases the risk to

millions of workers' employment standards, mental health, and economic stability.

A major part of why this is a topic of interest is that it will impact a relatively large proportion of

employees when AI-driven automation becomes reality. With the advancement of technology,

industries are making greater use of AI-powered technology-driven systems to do tasks that once required

human participation, as seen in customer support, manufacturing, finance, and information technology.

Shen and Zhang (2024) report that AI development leads to a transition in the employment structure by

replacing routine labor, and by focusing the opportunities in highly specialized digital domains. This

workers in making decisions and reducing repetitive tasks. But many organizations focus on cutting costs

and opt for human resources replacements completely. This could lead to short-term gains, but create a

long-term economic imbalance if uprooted workers are unable to secure jobs elsewhere.

4

5

employment transition policies should be developed in collaboration between the government,

education, and business sectors. To alleviate the negative impacts of technological unemployment, there

is a need to promote structural changes, including reskilling programmes, public investments in

education, and enhancing employment protection measures (Nigar et al. 2025). Employers that make

money from automation should invest in workforce development and encourage workers to further their

 Faculty feedback: Add the comma (Nigar et a...

Furthermore, educational institutions and career development programs are trying to catch up

with the increasing impact of AI on the future of learning. Increasingly, schools encourage students to

acquire digital literacy and technological competencies as a way to prepare them for demands in the

labor market in the future. AI automation reshapes the traditional approach to career planning, as the

jobs students prepare for are likely to change quickly and perhaps have yet to emerge fully, argues Wong

(2024). Chapter 18 discusses career education initiatives in helping to prepare students for adaptability,

but does not provide much support for the workers being displaced. Workforce transitions may be

particularly challenging for older workers and employees of low-paying industries, who may not have

access to workforce retraining opportunities.

While there are some who suggest that while AI will ultimately generate more new roles than it

reduces, this view doesn't consider the pace and magnitude of today's job loss. In their study, Georgieff

and Hyee (2022) determined that there is a high level of restructuring in the labor market in countries

that have higher rates of AI adoption, especially in routine occupations that are more susceptible to

automation. New roles can be created in technology development and the management of AI systems,

but these roles often need special education and advanced technical skills. As people get fired from

manufacturing, retail, or administrative jobs, they might lack important skills needed for new jobs. Thus,

market adaptation alone is not enough to ensure workers' vulnerability protection.

The integration of Artificial Intelligence should be seen with a balanced view of technology and

the protection of the workers. Policy development, comprehensive retraining programs, and

Add the comma (Nigar et al., 2025).

 Faculty feedback:

 William Lehman  28-May-2026

education. Moreover, governments need to invest more in vocational training and financial support in

training for those who lost their jobs due to retraining needs.

There are also ethical guidelines for implementing AI that should be embraced by businesses,

focusing on human involvement instead of replacement. Organizations that leverage technology to

complement, not replace, the human workforce can improve productivity while reducing reliance on

humans in the process. AI systems can work alongside, not in place of, human workers to increase

productivity in an organization. For instance, AI might help workers with data analysis, scheduling, or

customer service, but still need to oversee and interact with humans. This is a judicious strategy to ensure

businesses can stay efficient while safeguarding job positions and inspiring satisfaction among workers.

The job replacement trend caused by AI is one of the biggest economic and moral dilemmas of

today's society. AI can be highly productive and innovative, but unrestricted automation could lead to a

lack of employment and poorer mental health and economic equality. Policymakers, teachers, and local

business leaders must cooperate now to ensure that technological developments do not adversely affect

human health. Governments need to build up retraining programs for employees; education should be

6

focused on educating employees to become adaptable; and businesses should have ethical plans for

automation that embrace human workers. The reliance on AI could further exacerbate economic

disparities and result in lasting social imbalance if steps aren't taken to prevent it.

References References

Georgieff, A., & Hyee, R. (2022). Artificial intelligence and employment: New cross-country

evidence. Frontiers in Artificial Intelligence, 5, Article 832736.

https://doi.org/10.3389/frai.2022.832736

Nigar, M., Juli, J. F., Golder, U., Alam, M. J., & Hossain, M. K. (2025). Artificial intelligence and

technological unemployment: Understanding trends, technology’s adverse roles, and current

 Faculty feedback: Add italics....

 have the ability t...: have the ability t...  can

 verb acquire (get, develop): acquire  get

 Spelling mistake: Georgieff  George

 Spelling mistake: Hyee  Hyde

 Spelling mistake: reskilling  deskilling

7

 Spelling mistake: programmes  programmed

 Spelling mistake: Nigar  Niger

mitigation guidelines. Journal of Open Innovation Technology Market and Complexity , 11(3),

100607. https://doi.org/10.1016/j.joitmc.2025.100607

Sharma, V., Deb, S., Mahajan, Y., Ghosal, A., & Kapse, M. (2025). Psychological impacts of AI-

induced job displacement among Indian IT professionals: a Delphi-validated thematic

analysis. International Journal of Qualitative Studies on Health and Well-Being , 20(1),

2556445. https://doi.org/10.1080/17482631.2025.2556445

Shen, Y., Zhang, X. The impact of artificial intelligence on employment: the role of virtual

agglomeration. Humanit Soc Sci Commun 1111, 122 (2024). https://doi.org/10.1057/s41599-

024-02647-9

Wang, K., & Lu, W. (2024). AI-induced job impact: Complementary or substitution? Empirical

insights and sustainable technology considerations. Sustainable Technology and

Entrepreneurship, 4(1), 100085. https://doi.org/10.1016/j.stae.2024.100085

Wong, L. P. W. (2024). Artificial intelligence and job Automation: Challenges for secondary students’

career development and life planning. Merits, 4(4), 370–399.

https://doi.org/10.3390/merits4040027