The Impact of Artificial Intelligence on Different Industries and Job Markets

Discipline awareness

Computer Science

In the modern world, the computer is the most significant device for solving modern-day problems. As such, computing is part of everything in the contemporary world. Through computing, there is the drive for science, education, research, and innovation that enable the functionality of all other sectors of current civilization. Computer science enables computational systems, invention, creation, study, and analysis.

Correspondingly, computer scientists apply different coding sequences, mathematical algorithms and programming to develop computational methods and software. Consequently, there are other areas of study in computer science like security and privacy, programming languages, artificial intelligence, systems and networking, vision, and graphics computer engineering and robotics. As such, the discourse community that makes computer engineering is extensive and details in research and study frameworks (Sakr et al., 2023). This computer science framework aims to make the use and utilization of resources available venture. Extensively, there are ongoing, already done, and future research frameworks that explore the details of the field of computer science.

Most of the research is booming, and so is the use of the research results to assess the technological problems that need solving. A critical computer science analysis establishes a few ways this information availed into the world: trade journals, peer-reviewed scholarly journals, and the general public (Trivedi, 2023). Trivedi investigates whether it is possible to encrypt customer data without undermining privacy yet still allow the computation of the same data without decrypting it. As a result, the data will quickly be outsourced to commercial cloud environments and have encryption (Trivedi, 2023).

In conclusion, computer scientists use various coding techniques, mathematical algorithms, and programming to create computational systems and software. Consequently, there are numerous areas of study in computer science, including robots, vision and graphics, artificial intelligence, programming languages, systems and networking, and security and privacy. As a result, the discourse community that creates computer engineering is substantial and specific in its research and study frameworks. Many ongoing, completed, and future research frameworks delve deeply into the topic of computer science.

Research proposal

Introduction

Many sectors have been radically altered, and new technologies have been introduced as a direct result of the advent of AI. The information technology industry was an early adopter of AI technology. Questions regarding the possible demise of manual labor have grown alongside the widespread use of AI in Computing. Potential on the workforce, the types of occupations most at risk, and the best approaches to prevent the spread of AI have all been cited as concerns regarding the broad use of AI in the computing sector.

The computer science sector is essential to global economic expansion and development, providing millions of worldwide jobs. This broad category includes job titles like data analyst and software developer. Because of these positions’ high compensation and employment security, they have been in high demand (Hammad, 2023). However, as AI becomes prevalent, some employment functions risk becoming automated, raising questions about the sector’s job security and future employability.

The worries about how AI will affect job security are not unjustified, as research indicates that AI will significantly impact the labor market. A World Economic Forum (WEF) analysis estimates that by 2022, the Fourth Industrial Revolution, incorporating AI, will eliminate 75 million jobs while creating 133 million new positions. The paper emphasizes that the industry, the area, and the job function will all impact the net employment loss or growth. Due to the integration of AI, the IT sector will probably see both job increases and losses. While AI will undoubtedly perform many mundane activities, reducing the need for human labor, it will also give rise to new, highly trained employment categories.

Several studies have investigated how AI would affect job security across various industries. In one example, the impact of AI on job security in the United States is investigated in the article “The Effects of Digitization on Employment.” The impact of AI on employment prospects in specific industries like medicine and transport was additionally studied. There is a need for more research on the particular effects of the IT industry, even though these studies offer insights into the influence of AI on job security (Webb, M. 2019). The quick rate of technological advancement and the wide variety of job types offered make the IT sector distinctive. The relationship between AI and job security is complicated because the IT sector is the engine behind AI advancement. Consequently, the purpose of this study is to use expert interviews to ascertain the effect of AI on job security in the IT sector.

I will employ the expert interview technique to get opinions from professionals with experience in the IT field. The expert interview approach is a qualitative research technique that involves speaking with authorities in a specific field to get their thoughts on a particular subject (Prentice et al., 2020). To get their perspectives on the effect of AI on job security in the sector, I will speak with specialists from our class research participation group who have experience in the IT industry.

Literature Review

According to research by Lane and Martin, the introduction of I will likely have far-reaching adverse effects on the job economy. While some positions may be automated, others may see an increased demand for data analysis and computer science skills. Moreover, the authors in their study revealed potential detrimental impacts of AI, such as the likelihood of greater labor market inequality and the risk of job displacement for some individuals, as the necessity for people to reskill and upskill to adapt to new technology (Lane et al., 2021). The study’s authors also suggested further avenues for investigation, such as exploring the ethical and societal ramifications of implementing AI and conducting in-depth analyses of how AI will affect various industries and occupations.

The study aimed to investigate the employee perspective on emotional and artificial intelligence. Prentice, Dominique, and Wang highlighted that employees view AI as better suited to tasks involving data processing and analysis rather than tasks requiring emotional intelligence and interpersonal skills. Specifically, employees believed AI suits data processing and analysis tasks better. In addition, to further support their findings, employees reported feeling apprehensive about their jobs (Prentice et al., 2020). This event is because AI has simplified their work excessively; hence, their fear of losing their jobs has become an even more significant source of anxiety and concern. Finally, as a crucial recommendation based on their research, Prentice, Dominique, and Wang suggested that businesses should invest in training and development programs to assist employees in developing their emotional intelligence abilities and adapting to new technology. In Webb’s study on the impact of artificial intelligence on the labor market, he makes several interesting observations. His research shows that some occupations will be mechanized, and others will require new abilities due to the widespread adoption of artificial intelligence (Briganti et al., 2020). This research highlights the significance of stakeholders and policymakers carefully examining the possible impact of AI on the labor market and establishing policies to ensure that the advantages of this innovation will be distributed evenly and fairly. This requirement is highlighted throughout the paper.

Additionally, Webb suggests that the study’s findings can be used to inform future research and policy decisions related to the implementation of AI in the workplace. Additionally, he believes this point should be seriously considered by future researchers who wish to study AI further. A study conducted by Webster and Ivanov on Robotics, artificial intelligence, and the evolving nature of work presented significant concepts, such as the possibility that the nature of work might change and that the skills required at workplaces might also change due to the incorporation of robotics and artificial intelligence into routines and manual labor (Webster & Ivanov., 2020).

In addition, as robotics and AI are automated into labor, the labor market will shift because there will be an uneven distribution of the nature of occupations, as some jobs will require more automation than others. This will force some jobs to pay more for automation than others. Webster and Ivanov’s conclusion that AI would cause employment losses is consistent with other studies conclusions. Simultaneously, more job openings would appear associated with computer sectors (Chen et al., 2020). In conclusion, one of the essential things that can be learned from this research study is that many stakeholders need to get ready for the changes that are coming by making investments in education and training and adopting policies that encourage justice and equity.

Research Question

1. How is the emergence of AI affecting job security in the IT industry?

To answer this question, we developed three secondary research questions:

• Firstly, what are computer science’s AI pros and cons?
• 2) Which computer science jobs would AI affect?
• How can computer science job security be protected against AI?

Methodology

This study used the expert interview methodology to gather information about how AI affects job security in the IT sector. In expert interviews, a qualitative research technique, information is gathered from highly knowledgeable and experienced people in a given field of interest. As surveys and other quantitative tools cannot adequately capture the viewpoints and experiences of participants, this method was chosen (Braun & Clarke, 2006).

Participants

I recruited five participants who have extensive experience and expertise in the IT industry through our class research participants group. We chose computer science professionals from software development, data analytics, cybersecurity, and project management to present different viewpoints. All participants consented to the study and were informed of its goals and methodology.

Procedure

Semi-structured interviewing provided flexibility in addressing the study issues while guaranteeing consistency between interviews. Each video conference interview lasted between 45 and an hour, and it was done in this way. With the participants’ permission, the interviews were taped and then transcribed verbatim.

Data Analysis:

Thematic analysis, which includes finding patterns and themes in the data, was used to examine the interview data. The transcripts were reviewed and reread numerous times to see trends and themes in the data. For each topic, codes were created, and the codes were then grouped into broader groups based on their similarities and differences. The categories were finally evaluated to determine the main themes and sub-themes from the data.

Validity and Reliability:

I took several steps to ensure the data’s accuracy and dependability. Secondly, I conducted the interviews using a semi-structured method that allowed me to be flexible in exploring the study issues while guaranteeing uniformity. Second, I recorded the interviews with the participants’ permission and verbatim translated them to ensure the information appropriately reflected their perspectives. Lastly, I used theme analysis, a tried-and-true technique for interpreting qualitative data, to analyze the data. To confirm the integrity of our conclusions, I employed member checking last. I presented the results to the participants and solicited their opinions.

Ethical Considerations:

The ethical guidelines for research involving human beings were followed in this study. All participants gave their assent voluntarily after I gave them assurances about the privacy and anonymity of their answers. Also, I ensured that the volunteers were not forced or improperly influenced into participating in the study.

Findings report

Many insights on the effects of artificial intelligence on job security in the IT industry have emerged from the analysis of expert interviews. The experts generally concurred that job security is an issue for many people, and AI is quickly transforming the industry environment. However, the experts highlighted several potential mitigating factors that could lessen AI’s detrimental effects on job security.

The study’s primary finding was that the influence of AI on job security varies on the type of position. For example, the experts say that data entry and customer service positions are most at risk of becoming automated. These jobs include routine and repetitive operations. On the other hand, project management and software development are less likely to be impacted by AI since they involve human contact, creativity, and critical thought. This study’s results align with earlier studies (Tiku, 2022).

The experts also identified several talents that will become increasingly crucial in the computer science sector led by AI. These include adaptability, ingenuity, and communication. Experts say AI-driven workplaces favor technical and soft skills. The study also found that AI technology cannot be applied uniformly. The experts advise organizations to carefully analyze their industry’s and personnel’s unique requirements before determining which AI technology to implement. Additionally, they must guarantee their staff members receive the necessary training and preparation for the new technology.

The experts also talked about how the government and policymakers may handle any possible harm AI might do to job security. The experts contend that through efforts like retraining programs and unemployment benefits, governments must actively support employees who lose their jobs due to AI. They also have to guarantee that employees can embrace novel innovations and that AI advantages are distributed equitably.

The outcomes of this study suggest that the effect of AI on employment stability in the computer industry is complex and multifaceted. Although some workers will be made redundant due to AI’s widespread adoption, the technology can boost industrial productivity and effectiveness while creating new job openings. Careful planning and financial commitment in programs for training and reskilling are essential to minimizing the detrimental effects of AI on job security.

The experts were asked the questions below, and their responses were recorded. The responses were then analyzed to identify patterns and trends in the expert opinions and were recorded in the tables.

Table 1: Expert opinions on the impact of AI on different job roles in the IT industry

Table 2: Expert opinions on the new job opportunities created by AI in the IT industry

Table 3: Expert opinions on the skills required in the age of AI in the IT industry

According to what experts have predicted will happen to IT jobs, the data show that AI will have beneficial and detrimental results. As technology improves in efficiency and AI technology, certain occupations may be eliminated, although numerous additional ones will be generated. As AI-powered systems are developed and maintained, analysts predict increased available labor. Last but not least, the experts outlined the vital abilities in high demand in the IT sector as AI takes hold, including machine learning, data analysis, critical thinking, problem-solving, and communication.

 Discussion

The study’s findings based on expert interviews provided insight into how Artificial Intelligence (AI) may affect job security in the IT sector. According to the experts’ replies, AI can upend the IT sector by automating several traditionally conducted human processes and functions. However, this disruption is sometimes good because it can lead to new job possibilities and occupations that require human abilities that technology cannot replace.

With certain occupations being automated and replaced by AI and others being created and improved by technology, the usage of AI in the IT industry is anticipated to impact job security substantially (Zhang &amp, 2021). Many jobs, including data entry and document processing, could be automated with AI. It will not likely take the role of occupations that demand creativity, problem-solving, and human communication, though (Webster & Ivanov, 2020). However, it is vital to pay attention that computers could swap some productions in the imminent.

The specialists accessed for this learning highlighted the implication of getting new aids and apprising old ones to defend one’s engagement in the background of developments in expertise. Those adept at using AI and interacting with machines are likelier to experience more excellent job stability. Governments and businesses must invest in education and training initiatives to provide employees with the knowledge and abilities to coexist with AI and automation.

AI also expands employment opportunities and professions that demand human skills that technology cannot replace Jobs involving AI engineering, data analysis, and machine learning are just a few examples of those expanding due to the growing use of AI (Webster & Ivanov, 2020). it shows that AI not only gives chances for new and improved occupations but also poses a danger to job stability.

This research found that decision-makers, educators, and those working in the IT sector should seize the opportunities offered by AI and collaborate to ensure a stable workforce. Organizations must consider how AI will affect their workforce and establish plans to reskill and redeploy their workers. By investing in education and training programs, businesses and governments can equip workers with the skills to operate alongside AI and automation.

This literature analysis concluded that AI could completely transform the IT industry, with some occupations being automated and replaced by AI while new and improved jobs are created. Decision-makers, educators, and people working in the IT industry should take advantage of the opportunities presented by AI and work together to establish a stable workforce. Upskilling and reskilling are crucial to sustaining job security in technological upheaval. Governments and corporations must invest in education and training programs that give staff members the skills and knowledge necessary to get along with AI and automation. If this is done, employees will be more equipped to adopt new technologies and profit from AI.

References

Hammad, M. (2023). The Impact of Artificial Intelligence (AI) Programs on Writing Scientific Research. Annals of Biomedical Engineering, pp. 1–2.

Lane, M., & Saint-Martin, A. (2021). The impact of Artificial Intelligence on the labor market: What do we know so far?

Prentice, C., Dominique Lopes, S., & Wang, X. (2020). Emotional intelligence or artificial intelligence–an employee perspective. Journal of Hospitality Marketing & Management, 29(4), 377-403.

Webb, M. (2019). The impact of artificial intelligence on the labor market. Available at SSRN 3482150.

Webster, C., & Ivanov, S. (2020). Robotics, artificial intelligence, and the evolving nature of work (pp. 127–143). Springer International Publishing.

Briganti, G., & Moine, O. L. (2020). Artificial Intelligence in Medicine: Today and Tomorrow. Frontiers in Medicine, 7(27). https://doi.org/10.3389/fmed.2020.00027

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8(2169-3536), 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Zhang, C., & Lu, Y. (2021). Study on Artificial Intelligence: The State of the Art and FutureProspects. Journal of Industrial Information Integration, 23, 100224.https://doi.org/10.1016/j.jii.2021.100224

Sakr, A., Elzeki , O. M., & El-Bakry, H. (2023). A simulation of mobile-based bank teller application for managing … Retrieved February 13, 2023, from https://ww.thescipub.com/pdf/jcssp.2023.315.325.pdf

Trivedi, D. (2023). The Future of Cryptography: Performing Computations on Encrypted Data. Retrieved February 13, 2023, from https://ww.thescipub.com/pdf/jcssp.2023.315.325.pdf

Tiku, N. (2022, July 29). Big Tech builds AI with insufficient data. So scientists sought better data. The Washington Post. Retrieved February 13, 2023, from https://www.washingtonpost.com/technology/2022/07/21/big-science-ai-open-sourcelanguage-model/