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Vei Paterson Tia
Koyel Dasgupta
ENGL 102-101
27 April 2025
The Rise of AI: Exploring the Impact on Human Jobs
Last year, an HR manager at a major tech company reviewed over 3,000 job applications,
not by hand, but with the help of an Artificial intelligence (AI) system that could screen, rank,
and recommend candidates in seconds. What once took a team of people several days, the
algorithm accomplished in under an hour. Stories like this are no longer rare; they reflect a
growing shift in how businesses operate. AI is no longer a futuristic concept, it is rapidly
transforming the global workforce, automating tasks once thought to require human intelligence.
AI is reshaping industries, economies, and daily life at an unprecedented pace. The increasing
integration of AI into various sectors has led to widespread debate about its impact on human
employment. While AI offers exceptional efficiency and productivity, it simultaneously threatens
to displace jobs, particularly in sectors involving routine or repetitive tasks. According to a 2025
Pew Research Center study, 52% of U.S. workers express concern about AI's impact on their
jobs, and 32% believe it will lead to fewer job opportunities for them in the long run (Lin and
Parker). This paper explores how AI is transforming the modern workforce by examining the
risks of job displacement, the emergence of new roles in the digital economy, the types of jobs
most at risk, and the potential pathways for adaptation.
Last year, a cousin, who has worked as a truck driver for decades, started hearing rumors
that his company was investing in AI-powered self-driving trucks. For the first time, he worried
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about whether his skills would still be valued. Watching him stress about his future made me
realize that the rise of AI is not just about technology, it is about real people facing real
uncertainty. AI refers to computer systems designed to perform tasks that typically require
human intelligence, such as recognizing patterns, making decisions, solving problems,
understanding language, and interpreting visual information. AI systems use algorithms and data
to make decisions, often without human intervention. Branches of AI include machine learning,
where systems improve through experience; natural language processing, which enables
communication with chatbots and voice assistants; and computer vision, used for tasks like facial
recognition and quality inspection. As these technologies evolve, AI is increasingly capable of
handling complex tasks that were once uniquely human, driving major changes across industries.
In today’s workplace, AI tools are already widespread. Many companies use automated resume
screeners in hiring, chatbots for customer support, predictive analytics in marketing and sales,
and even AI-assisted diagnostics in healthcare. For example, some hospitals now rely on AI
systems to analyze X-rays or MRI scans faster and more accurately than human technicians. In
manufacturing, robots powered by AI can inspect products in real time, reducing waste and
improving efficiency. These examples demonstrate that AI is not confined to tech companies
alone, it is becoming a backbone of productivity across all industries.
When I first saw headlines about AI models painting pictures or composing music, it felt
exciting, almost like something out of a science fiction movie. But as more news came out about
layoffs and job losses in creative industries, the excitement turned into unease. It became clear
that AI wasn’t just about "helping", it was about changing careers forever. One reason for the
rapid adoption of AI is the competitive advantage it provides. A 2025 report in Harvard Business
Review reveals that “AI integration significantly boosts productivity across various skill levels,
with the greatest benefits observed among workers who hold low-wage jobs” (Demirci et al.).
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Businesses can process information faster, reduce human error, and lower operational costs by
automating routine and repetitive tasks. Organizations are increasingly turning to generative AI
not only to boost productivity but also to redefine roles and processes. In fact, the report notes
that after the introduction of ChatGPT, “we found 903 job posts listing ChatGPT in the skill
tags” (Demirci et al.). From automating email replies to predicting inventory needs, AI makes
workflows leaner and more responsive. Moreover, generative AI tools like ChatGPT or DALL-E
are now being used to write code, generate content, and even design marketing materials. These
tools are not simply assisting human workers—they are becoming collaborators, taking on some
creative and cognitive tasks. As a result, workplaces are beginning to shift not just in how they
operate, but in the very nature of the jobs themselves. In summary, AI is no longer just an
experimental technology, it is a transformational force in the workplace. Its growing presence is
reshaping how businesses function, what skills are valued, and what roles will remain relevant in
the coming decades.
The dual impact of AI on Employment brings both opportunities and challenges. While
AI-driven automation threatens to displace certain job categories, it also paves the way for the
creation of new roles and the transformation of existing ones. AI is not the first technological
revolution the world has witnessed, but the rapid expansion of its applications is generating both
enthusiasm and concern. Its growing capabilities have raised alarms about potential job
displacement across various sectors. A report published by the Stanford Business School in 2020
echoed earlier studies that predicted AI would not merely assist workers but could become a
competitor in the workplace. One such study from 2018 estimated that “industrial countries have
up to 40% of jobs at high potential risk of automation” (Aaker et al.). In the United States, some
demographics are particularly vulnerable to AI-induced job loss. A 2023 Pew Research Center
study found that 19% of American workers hold jobs most exposed to AI, with higher exposure
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among those with bachelor's degrees (27%) and women (21%). Additionally, low-wage earners
are especially at risk (Rakesh). Online and freelance workers are already experiencing the effects
of AI-driven disruption. According to a Harvard Business Review report, “After the introduction
of ChatGPT, there was a 21% decrease in the weekly number of posts in automation-prone jobs
compared to manual-intensive jobs. Writing jobs were affected the most (30.37% decrease),
followed by software, app, and web development (20.62%), and engineering (10.42%)” (Demirci
et al.). The psychological impact of potential job loss is also significant. A 2025 Pew Research
Center study revealed that 52% of U.S. workers are worried about AI’s future impact on their
jobs, and 32% believe it will lead to fewer job opportunities in the long run (Lin and Parker).
Despite the risks of automation, AI is also creating entirely new types of jobs and
transforming existing ones. Emerging roles include AI specialists, data analysts, and digital
transformation consultants. The World Economic Forum (WEF)’s Jobs of Tomorrow report also
highlights the growing importance of roles such as AI trainers, explainers, and sustainers (jobs
focused on designing, interpreting, and ethically overseeing AI systems). According to the
report, “the highest potential job growth in the next five years lies in AI and machine learning
specialists, with a projected expansion of 39%” (Shine). Moreover, AI is not only creating new
jobs but also enhancing existing roles by automating repetitive tasks. For example, in healthcare,
AI can manage administrative responsibilities, enabling medical professionals to focus more on
patient care. In manufacturing, AI-driven predictive maintenance helps reduce downtime and
improves operational efficiency, allowing workers to shift their attention to innovation and
quality control. The dual impact of AI on employment underscores the importance of proactive
measures that address both sides of the equation. Having said that, it is equally important to
analyze why certain jobs are more exposed than others.
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The rise of AI is not impacting all sectors equally. While certain industries face
significant risk of job displacement, others are adapting rapidly, or even thriving, through AI
integration. Understanding which jobs are most at risk and which sectors are evolving can
provide critical insight into how the labor market is transforming. Routine, predictable, and
repetitive tasks are particularly vulnerable to automation. According to the Brookings Institution,
sectors like administrative support, data entry, customer service, and transportation are among
the most exposed to AI technologies. The 2023 Pew Research Center report supports this by
highlighting that jobs involving data collection and basic information processing face the greatest
threat. This includes roles like call center operators, clerical workers, and bookkeeping
professionals, positions that rely heavily on tasks that AI can perform faster and more accurately.
This study also found that “about half of workers (52%) in the professional, scientific and
technical services sector face a high degree of exposure to AI, more than double the rate for
workers overall” (Rakesh). The rise of generative AI tools like ChatGPT and DALL·E has also
introduced disruption in traditionally creative sectors. A Harvard Business Review study found
that after the introduction of ChatGPT, writing-related jobs experienced a 30% decline in online
postings, followed by significant drops in software and web development roles (Demirci et al.).
This shows that even white-collar, skilled professions are not immune to AI’s impact.
In contrast, industries that require human judgment, emotional intelligence, or hands-on
expertise are showing resilience, or are even leveraging AI to grow. Healthcare is one such
sector. While AI handles diagnostics and administrative tasks, human professionals remain
indispensable for patient interaction and complex decision-making. AI-driven tools are
enhancing rather than replacing medical professionals, allowing doctors and nurses to spend
more time on direct care. Similarly, in the manufacturing sector, companies are adopting AI for
predictive maintenance, quality control, and supply chain optimization. This has not eliminated
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jobs entirely, but rather shifted labor needs toward roles involving oversight of AI systems,
engineering, and process improvement. Education is another field where AI is seen more as a
complement than a replacement. AI tutors, grading tools, and learning analytics platforms are
supporting educators, not replacing them. The WEF notes that roles in education and training are
expected to grow, particularly as reskilling becomes a priority in AI-augmented workplaces
(Shine).
Here is a case example to emphasize the point made above: The retail and logistics sector
offers a compelling example of both disruption and adaptation. Major companies like Amazon
have automated significant portions of their warehouses using AI-driven robots, reducing the
demand for manual labor in sorting and packing. At the same time, AI helps optimize delivery
routes and personalize customer experiences, creating new opportunities in data science, UX
design, and operations management. If AI is here to reshape jobs and workers' skills, it would be
better for humans to adapt to it. Imagine a single mother working in customer service who
suddenly finds her position replaced by an AI chatbot. Overnight, the job she relied on to support
her family disappears. Stories like hers remind us that while AI can bring innovation, it can also
bring hardship to those least prepared for it.
As AI continues to reshape the global job market, the ability to adapt has become more
critical than ever. While some roles may disappear, many others are evolving or emerging
entirely anew. The challenge now is to prepare the workforce with the skills, education, and
policies necessary to navigate this transition. This section explores how individuals, institutions,
and governments can respond proactively to ensure the future of work remains inclusive and
sustainable. While AI still struggles to replicate tasks requiring critical thinking, emotional
intelligence, and complex decision-making, technical proficiency is becoming essential across
industries. The World Economic Forum reports that skills in data literacy, AI operation, and
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human-machine collaboration will be in high demand (Shine). Even jobs not traditionally
associated with technology, such as marketing, customer service, or education, now require some
familiarity with digital tools and platforms. Furthermore, adaptability and lifelong learning are
increasingly viewed as core competencies, as workers may need to reskill multiple times
throughout their careers.
To meet this growing demand for new skills, education systems must evolve. Traditional
academic models, which focus heavily on theoretical knowledge, are no longer sufficient in a
labor market defined by rapid technological change. There is now a growing push toward
flexible, skills-based learning pathways that combine technical training with soft skills
development. In the report Choosing AI’s Impact on the Future of Work, researchers Acemoglu
and Johnson advocate for expanding access to retraining programs. Community college
certifications and public-private partnerships can deliver up-to-date training aligned with
industry needs. These programs are especially vital for displaced workers in low-wage or
automation-prone roles, helping them transition into more resilient careers. Workplace-based
learning is also essential. Many companies now invest in their employees through on-the-job AI
training, digital apprenticeships, and continuous professional development. These efforts not
only boost productivity but also help retain talent in a competitive labor market. According to a
2025 Pew Research Center report, as of October 2024, “about half of workers (51%) said they
had taken a class or gotten extra training for work in the prior 12 months. Within this group,
about a quarter (24%) say the training they took was related to AI use” (Lin and Parker).
While individuals and companies play important roles, governments must also take
proactive steps to regulate and support the future of work. This includes funding retraining
programs, expanding broadband access, and supporting workers through unemployment benefits
and career counseling. As Acemoglu and Johnson note, “Technologies develop according to the
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vision and choices of those in positions of power.” The effects of any technology, including AI,
are shaped by those who guide its development. There are also pressing ethical concerns. AI
systems can reflect or amplify human biases, particularly in sensitive areas such as hiring,
criminal justice, and credit scoring. Without proper oversight, these biases risk deepening
existing inequalities in the labor market. Promoting transparency and fairness in algorithmic
decision-making must become a policy priority. In fact, Pew Research Center found that many
workers are already skeptical of AI’s role in decision-making, with 52% expressing concern
about its potential misuse or negative effects on job quality (Lin and Parker). Furthermore,
policies must ensure that the benefits of AI are shared broadly, not just among tech companies
and highly skilled workers. This includes enforcing fair labor standards, protecting gig and
freelance workers, and promoting inclusive innovation. According to Stanford’s “HumanCentered Artificial Intelligence” initiative, “Applications of AI should enhance and augment
human capability, not replace humans” (Aaker et al.).
In conclusion, Artificial intelligence is already changing how we work, and its influence
will only continue to grow. As we have seen, AI can bring many benefits, like improving
efficiency and creating new kinds of jobs, but it also raises serious concerns. Some workers are
at risk of losing their jobs, and there are questions about fairness, bias, and who really benefits
from this technology. This paper explored both the positive and negative effects of AI in the
workplace, the industries most affected, and the ways people and companies are adapting. After
all the above, I think the advantages of AI outweigh the disadvantages, but only if certain
conditions are met. Before going any further with AI development, if they haven't already done
so, governments will need to take appropriate regulatory measures that place AI in favor of
workers, not against them. Requalification will also have to go hand in hand with the
development of AI in the workplace. Moving forward, we need more research on how AI affects
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diverse types of workers, especially those in low-wage or high-risk jobs. It is also important to
keep asking how we can make AI systems fair, transparent, and ethical. Governments,
companies, and schools all need to work together to make sure workers are ready for the changes
ahead. In the end, AI does not have to replace people, it can support and strengthen human work.
But that will only happen if we make thoughtful choices now and take action to build a future
where technology works for everyone.
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Works Cited
Aaker, Jennifer, et al. “Human-Centered Artificial Intelligence and Workforce Displacement.”
Stanford Graduate School of Business, 16 February 2020,
https://www.gsb.stanford.edu/faculty-research/case-studies/human-centered-artificialintelligence-workforce-displacement.
Acemoglu, Daron, and Simon Johnson. “Choosing AI’s Impact on the Future of Work.”
Standford Social Innovation Review, 25 Oct. 2023, https://ssir.org/articles/entry/aiimpact-on-jobs-and-work.
Demirci, Ozge, et al. “Research: How Gen AI Is Already Impacting the Labor Market.” Harvard
Business Review, 11 November 2024, https://hbr.org/2024/11/research-how-gen-ai-isalready-impacting-the-labor-market.
Kochhar, Rakesh. “Which U.S. Workers Are More Exposed to AI on Their Jobs?” Pew Research
Center, 26 July 2023, https://www.pewresearch.org/social-trends/2023/07/26/which-u-sworkers-are-more-exposed-to-ai-on-their-jobs/.
Lin, Luona, and Kim Parker. “U.S. Workers Are More Worried Than Hopeful About Future AI
Use in the Workplace.” Pew Research Center, 25 Feb. 2025,
https://www.pewresearch.org/social-trends/2025/02/25/u-s-workers-are-more-worriedthan-hopeful-about-future-ai-use-in-the-workplace/.
Shine, Ian. “We often hear that AI will take our jobs. But what jobs will it create?” World
Economic Forum, 18 Sep. 2023, https://www.weforum.org/stories/2023/09/jobs-ai-willcreate/?utm_source=chatgpt.com.