Artificial Intelligence: Effects on Business

Introduction

Most devices have now advanced as a result of the development of technology. Several sophisticated devices have been introduced to assist with various tasks. Utilizing these tools to fulfill specific responsibilities within their businesses has helped many organizations advance. Robots, self-driving cars, intelligent assistants, virtual travel agents, illness mapping, automated financial investments, and social media monitoring are some of these gadgets (Goralski & Tan, 2020). These tools are designed to make work more accessible, accurate, cost-effective, and time-efficient. As a result, these machines continue to take the place of human work. According to a study, employment has decreased by 10% due to most businesses now adopting these machines to carry out various tasks that people could undertake. This has a significant impact on the economy, both favorably and negatively.

Artificial intelligence has, however, had a significant impact on global trade through enhanced production and service delivery. Future economic performance measures how effectively a company can employ resources from its primary line of business and create profits. The phrase is also a broad indicator of a company’s long-term financial stability (Wright & Schultz, 2018). Analysts and investors utilize economic performance, such as growth in GDP and GNP performance from tax reports, to compare similar businesses in the same industry, nations, or sectors. There are numerous ways to gauge economic performance, but they should all be considered collectively. Along with total unit sales, line items like operating income, operational revenue, or cash flow from operations might be included.

Current effects on business

It is discovered how the technological world has been striving to take their business to new heights, which requires updated technological changes in internal business activities. Companies can now effortlessly interact with their customers in making their applications accessible for the end-users through implementing AI and machine learning (Brock & Von, 2019). Companies are getting higher profitability, enhancing performance, and achieving economic advantages through integrated AI. Moreover, their technological developments will take human jobs in the future, so it is suggested that humans should work on their skills and competencies so that they can deal with unemployment.

The main current effect of artificial intelligence on the business sector is that companies are getting higher profitability from their sales. An example of a company that has used artificial intelligence to raise its profit is the company known as Amazon. AI makes its first appearance on Amazon’s home page, customized for each company’s 300 million users. By tracking a user’s clickstream across the web, Amazon can anticipate what products they will be most interested in purchasing. According to Haenlein and Kaplan (2019). The site’s design revolves around this idea, and as a result, the recommended products are displayed in a way that is sure to attract the users’ attention. The annual revenue that Amazon receives as a result of using artificial intelligence is approximately $200 million.

The second effect of artificial intelligence is to improve the company’s performance. The company’s performance can be improved by focusing on the advantages of artificial intelligence. Companies like Starbucks have improved the performance of their business company by 40% since they began to use artificial intelligence in their company. According to Singh et al. (2019), the company said over 90 million purchases were made at their stores in 2018. Here you will find a treasure trove of data about consumer preferences and best-selling items. Using AI, Starbucks has started collecting this information and concluding. Sales and the company’s comprehensive course could be improved thanks to these new perspectives. Furthermore, they enhanced their direct marketing capabilities, allowing customized advertising and other similar methods.

Artificial intelligence improves the relationship between the company and the customers. For any business, the Sales department is responsible for moving the company’s inventory of products and services. As a result of the sales team’s efforts, connections with clients and distribution partners are fostered. They push through resistance, bargain for better terms and pricing, and coordinate efforts internally to ensure their customers’ orders are fulfilled. The sales team receives the lead after marketing identifies a prospective client. The role of sales is to transform a marketing-generated lead into a paying customer. The customer must have faith in the salesperson for this to occur.

Customers who have a positive experience with a company are more likely to spread the word about it, generating leads for the marketing department and giving sales a chance to close the deal. Likewise, the inverse is also true. Prospective and existing customers can harm a business by giving unfavorable public reviews if they lose faith in the salesperson. Having skilled salespeople on board can significantly affect a company’s bottom line. Artificial intelligence (AI) can equip salespeople with a resource that will aid them in pursuing new clients and income. One example is Conversica, a sales conversion management program with about $300 million in revenue from the application of artificial intelligence.

Artificial intelligence promotes a good relationship between customers and companies by providing better customer service. This is by predicting their demands, developing highly customized marketing campaigns, revealing shopper preferences, and facilitating more informed product decisions. With the help of AI, businesses can sift through mountains of customer information to pinpoint their most valuable clients. The transition to AI has been relatively easy (Venkatasubramanian, 2018). The adoption of AI software has been met with resistance from some. Understandably, some people might be wary about AI, given how little they know about it. Some people worry that by using AI, they will be invading people’s personal space.

Artificial intelligence enhances the security of the company’s information. The electronic eyes of any security operation are the video surveillance cameras. Historically, human oversight was required to decipher collected photos and determine whether or not a given incident posed a threat to security. Several companies use hundreds or even thousands of cameras to protect their people and property, making manual footage analysis difficult and potentially leaving them open to security breaches (Pumplun et al., 2019). Artificial intelligence systems, for instance, can send almost instantaneous warnings if an unauthorized person or car with a previously banned license plate enters a secured area. Teams can better safeguard people and property from security risks with notifications given in real-time. Furthermore, automated alerts ensure that possible hazards are noticed.

Currently, artificial intelligence has enhanced organizations’ competitiveness and success. For instance, customers who opt into special marketing initiatives or other incentives can be flagged so that the appropriate level of service is provided at the appropriate time. As a result, businesses may tailor their services to each consumer, increase retention, and boost lifetime income. Artificial intelligence (AI) can similarly assist businesses in learning about their client’s wants and needs and adapting accordingly, opening up new avenues for financial gain (Singh et al., 2019). People counting is a tool that helps businesses track customer traffic during busy periods and schedule employees accordingly. Also, by tracking client foot traffic, shops may better position products and change displays to increase sales.

Future Effects of Artificial Intelligence

Artificial intelligence (AI) has limitless potential applications in the marketing industry, most of which exist only in speculation. Artificial intelligence’s development can alter our understanding of ourselves and the relationship between humans and their technology enhancements, which could influence marketers’ strategies. This partnership will keep misunderstandings and communication breakdowns to a minimum (Pumplun et al., 2019). The organization should start with fundamental technologies and examine its technology infrastructure to find flaws. Reviewers’ impressions of a product should be taken into account by businesses before making any changes. Companies choose software to assist them in meeting their objectives.

Marketers need to know not just who their target audience is but also what software they use to make purchases. Eventually, AI may be able to do all that marketers do. It is simple to see a system or systems that can identify the most excellent customers for a company’s goods and services, generate the most pertinent advertising content for that audience, and identify the finest channels through which to disseminate that content. AI is here to stay, and its capabilities will keep expanding at a dizzying pace.

AI’s potential to aid future job-seekers in their search for suitable work is another consideration. Job searches can be time-consuming due to the extensive effort required to prepare and submit applications and cover letters and the even more extensive effort required by hiring managers to go through these documents. The use of AI has the potential to significantly streamline the recruitment process for the benefit of all parties. Like Tinder, Workout is a swipe-based application, except instead of finding a potential partner for dating, it finds them a potential employer. Profile information is used to pair potential employees with employers. After that, they can express their interest by swiping right or move on to the following profile by swiping left. Those interested in working together can schedule interviews and move forward with the recruiting process if they both receive a “yes” when they swipe.

One-fourth of occupations in the United States could be affected by or eliminated due to AI and automation. Whole job sectors risk disappearing as AI develops and more tasks become easily automatable. One may make a compelling case that the use of AI will have a deleterious effect on the unemployment rate in various sectors, including retail, as demonstrated by the examples given above (Dwivedi et al., 2021). For instance, the demand for cashiers has decreased because of the widespread use of self-service checkouts, especially in supermarkets. Artificial intelligence (AI) may also organize the tedious process of providing a pleasant online shopping experience for a company’s clients by doing things like product tagging and making recommendations for related products (Bag et al., 2021). Once upon a time, workers would have to assign qualities to products manually. However, trained image recognition algorithms can do this work quickly and accurately.

In the not-too-distant future, clients may be able to proceed further in the buying process or even finish it without ever interacting with a salesperson. Purchasing without an intermediary is already a common practice. It has become common practice for people to make purchases of goods and services online without ever interacting with a human salesperson. As time goes on, we will not need the assistance of a natural person while purchasing a car or a house. Automation in sales processes may reduce the need for human salespeople, but it will not make selling itself obsolete (Dwivedi et al., 2021). Customers will always prefer human interaction before, during, and after a purchase. Professionals in the sales industry would acquire skills in artificial intelligence platform implementation and maintenance.

Future innovations will pave the way for new economic sectors beyond our wildest dreams. Over time, AI will be able to take on more of the work currently done by humans, but it will take at least 80–100 years for AI to completely replace the workforce (Pumplun et al., 2019). While it is possible that automation could force humans out of many occupations in the future, the rapid expansion of new businesses and the resulting rise in employment opportunities mean that we may not care much by then. A future without humans is highly improbable.

However, if a small group of corporations monopolizes AI, those businesses will effectively rule the planet. Income disparity may widen even as the economy expands and more people are lifted out of poverty. On the bright side, we will see the birth of new industries that are currently inconceivable. It would have been unthinkable 20 years ago that so many people would make their income today from posting videos and photos to social media sites like YouTube and Instagram (Dwivedi et al., 2021). Similar to how the internet opened up new industries while eliminating some professions, AI and automation will create entirely new types of labor.

Progress in AI will allow for the mass production of low-cost goods. Consequently, there will be a greater need for inexpensively manufactured goods. Economics dictates as much. When a good’s price drops, more people can afford to buy it, which drives demand. The demand boost may lessen the impact of the layoffs (Davenport, 2018). In addition, the advent of low-priced technology often leads to the birth of brand-new economic sectors, attracting capital investment and creating new employment opportunities. For instance, the advent of inexpensive computers paved the way for an explosion of brand-new economic sectors.

As the economy moves toward being dominated by AI, low-skilled jobs will become increasingly rare. Highly repetitious jobs are the most at risk from this change. Therefore, the “upskilling” and “reskilling” of the workforce will be necessary for the majority of the employment produced by the development and improvement of AI (Bag et al., 2021). Experts have a hard time predicting the future of the labor market since new wants and pain points will emerge within an AI-dominated economy, creating positions that do not now exist.

Future AI systems will require a large workforce of skilled information technology, engineering, and software development experts to create, update, and maintain. On the one hand, AI and automation will eventually kill off the labor force. However, AI also has the potential to increase output, enhance earnings, and stimulate corporate expansion, so providing new possibilities for the creation of employment (Abubakar et al., 2019). There is no reason to believe that new technologies will not once again disrupt entire markets and entire workforces.

Conclusion

In conclusion, artificial intelligence is a wide range of technological advancements that deal with current and future effects on the business sector to enhance profitability and promote a good relationship between customers and salespersons through technology. In the future, it is predicted that the rise of artificial intelligence will lead to unemployment as machines replace humans. There will be the rise of new businesses that will be of high importance to the growth of the country’s economy.

References

Abubakar, A. M., Behravesh, E., Rezapouraghdam, H., & Yildiz, S. B. (2019). Applying artificial intelligence techniques to predict knowledge-hiding behavior. International Journal of Information Management, 49, 45–57.

Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021). Role of institutional pressures and resources in adopting big data analytics powered artificial intelligence, sustainable manufacturing practices, and circular economy capabilities. Technological Forecasting and Social Change, 163, 120420.

Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach about natural, artificial intelligence. California Management Review, 61(4), 110-134.

Davenport, T. H. (2018). The AI Advantage: How to put the artificial intelligence revolution to work. MIT Press.

Dwivedia, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B.,… & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 57, 101994.

Goralski, M. A., & Tan, T. K. (2020). Artificial Intelligence and Sustainable Development. The International Journal of Management Education, 18(1), 100330. Web.

Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: Artificial intelligence’s past, present, and future. California management review, 61(4), 5-14.

Pumplun, L., Tauchert, C., & Heidt, M. (2019). A new organizational chassis for artificial intelligence-exploring organizational readiness factors.

Singh, J., Flaherty, K., Sohi, R. S., Deeter-Schmelz, D., Habel, J., Le Meunier-FitzHugh, K., Malshe, A., Mullins, R., & Onyemah, V. (2019). Sales profession and professionals in the age of digitization and artificial intelligence technologies: concepts, priorities, and questions. Journal of Personal Selling & Sales Management, 39(1), 2-22.

Venkatasubramanian, V. (2018). The promise of Artificial Intelligence in chemical engineering: Is it here, finally? AIChE Journal, 65(2), 466–478. Web.

Wright, S. A., & Schultz, A. E. (2018). The rising tide of artificial intelligence and business automation: Developing an ethical framework. Business Horizons, 61(6), 823-832.

Cite this paper

Select style

Reference

StudyCorgi. (2023, December 27). Artificial Intelligence: Effects on Business. https://studycorgi.com/artificial-intelligence-effects-on-business/

Work Cited

"Artificial Intelligence: Effects on Business." StudyCorgi, 27 Dec. 2023, studycorgi.com/artificial-intelligence-effects-on-business/.

* Hyperlink the URL after pasting it to your document

References

StudyCorgi. (2023) 'Artificial Intelligence: Effects on Business'. 27 December.

1. StudyCorgi. "Artificial Intelligence: Effects on Business." December 27, 2023. https://studycorgi.com/artificial-intelligence-effects-on-business/.


Bibliography


StudyCorgi. "Artificial Intelligence: Effects on Business." December 27, 2023. https://studycorgi.com/artificial-intelligence-effects-on-business/.

References

StudyCorgi. 2023. "Artificial Intelligence: Effects on Business." December 27, 2023. https://studycorgi.com/artificial-intelligence-effects-on-business/.

This paper, “Artificial Intelligence: Effects on Business”, was written and voluntary submitted to our free essay database by a straight-A student. Please ensure you properly reference the paper if you're using it to write your assignment.

Before publication, the StudyCorgi editorial team proofread and checked the paper to make sure it meets the highest standards in terms of grammar, punctuation, style, fact accuracy, copyright issues, and inclusive language. Last updated: .

If you are the author of this paper and no longer wish to have it published on StudyCorgi, request the removal. Please use the “Donate your paper” form to submit an essay.