Artificial Intelligence: The Future of Employees

Artificial intelligence (AI) is changing the future of human workers. With the rise of AI, many jobs that human beings have traditionally done can now be done by machines. This raises some critical questions about the future of work and employment. What will happen to the millions of people who currently work in jobs that machines can replace? Will they be out of a job? Or will they find new and better jobs thanks to the rise of AI? We will explore these questions and offer our forecasts about the future of human workers in an age of artificial intelligence.

One important question to address is: what is artificial intelligence? Artificial intelligence can be defined as the ability of machines to perform tasks that would traditionally require human intelligence, such as understanding natural language and recognizing objects. AI has been around for centuries in one form or another, but it is only in recent years that it has begun to have a more substantial impact on today’s workforce environment. Moreover, AI continues to enter new domains such as finance, healthcare, manufacturing, and logistics (Chiou et al., 2020).

There are different types of AI technology, but the two main categories are machine learning and deep learning. Machine learning is a method of teaching computers to learn from data without being explicitly programmed. Deep learning is a subset of machine learning that uses neural networks to mimic how the human brain processes information and arrives at certain conclusions based on the patterns of the giant data sets exposed (Miller, 2019). The growth of artificial intelligence is stunning. It has increased almost threefold in just one year and now accounts for more than 270% of enterprises implementing AI technology into their businesses (Costello, 2019).

AI is changing the types of jobs that will be in demand and the very nature of work itself. For instance, AI-powered chatbots are increasingly used to handle customer service inquiries and tasks such as scheduling appointments. This reduces the need for human customer service representatives, increases streamlining customer interaction, and provides a proficient and seamless service 24 hours and seven days a week if required. AI is also being used to manage physical work tasks and processes. Long have machinery and robots been used in various industrial and commercial settings to do the heavy lifting for human employees – but these machines are now becoming increasingly powered by AI. For instance, AGVs (automated guided vehicles) have existed for quite some time now (Chiou et al., 2020). Still, they have only recently become equipped with sensors and software that allow them to navigate without human intervention. These breakthrough artificial intelligence creations have advanced the potential for machines in the workplace and are slowly but surely changing the future of human workers.

In some cases, AI is being used as a tool to help humans with their work tasks. For instance, IBM has created a software called “Ross” that is designed to assist lawyers in their research by understanding and responding to questions in natural language (Turner, 2016). In the near future, it is not inconceivable that robots will be taking over many roles currently performed by human beings across a wide range of industries, from food services, retail, and online school interactions. The deployment of AI in such settings promises increased efficiency, productivity, and connectivity that could reach new and existing customers in globally innovative ways. With these potential benefits comes the possibility of large-scale unemployment, as machines now carry out roles that human beings have performed for centuries.

The future of work is likely to be one in which humans and AI work together, with each complementing the other’s strengths. For instance, with the decrease in coal manufacturing workers faced in the United States, many found new jobs in solar panel installation as several companies offered training programs (Chiou et al., 2020). In this way, AI can open up opportunities for workers even as it takes on a different role and learning to work with AI may become essential for many jobs in the future.

In recent years, there has been a decrease in demand for human labor across various fields. As AI continues to develop and become more widespread, it will be necessary for humans to be adaptable and learn new skills to stay ahead of the curve. At the same time, it is essential to consider the potential adverse effects of AI on employment and the economy more broadly (Miller, 2019). As more companies adopt AI technologies, cyber-security jobs will increase to protect against data breaches and AI attacks. There will also be a need for jobs to repair and maintain AI-powered machines. This shift in the workforce is likely to impact society and the economy profoundly. It is important to consider both the positive and negative potential outcomes of this technology to prepare for the future.

The impact of AI on employment is complex, and it is difficult to predict exactly how things will play out in the coming years. The global implications for private and public sectors will largely depend on how AI is implemented. There are many different opinions on the matter, but it is safe to say that AI will significantly impact the future of work. Some believe that AI will create more jobs than it eliminates, while others think it will lead to mass unemployment. It is still too early to understand the full foundational effects of AI, but it is not too early to start preparing for the potential changes (Farrow, 2022). The way society works and lives is changing at a faster pace than ever before. Humanity is on the brink of a new industrial revolution, one that is being driven by artificial intelligence (AI). AI has the potential to transform every aspect of people’s lives, from the way family interacts to how and what type of employment is available and needed. It is already changing the way people process information and make decisions. For example, it is already being used in various ways, from managing social media platforms to assisting with medical diagnoses (Farrow, 2022).

AI is not just a new technology; it is a new way of doing things. It has the potential to change how we interact with the world around us and how we think about work, life, and learning. It is essential to start preparing for this future now. Staying informed of AI’s trajectory and the interwoven functionalities it assumes will become a critical part of how the future of humankind is affected (Miller, 2019). The changes AI brings will be wide-ranging and profound, affecting various areas of professional and personal lives, even the very nature of human relationships. The potential for AI to transform the world is immense and intimidating since so much is yet to be discovered. It has the ability to improve the lives of people in ways not yet imagined. But with this potential comes great responsibility. It is needed to ensure that AI is developed and used in ethically responsible ways. It is also necessary to ensure that everyone has the opportunity to benefit from its many advantages, and it is not only accessible to the wealthy few.

References

Chiou, E. K., Holder, E., Dolgov, I., McDowell, K., Menthe, L., Roscoe, R. D., & Zaveri, S. (2020). Human, AI, robot teaming and the future of work: Barriers and opportunities for advancement. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 62-66. https://doi.org/10.1177/1071181320641018

Costello, K. (2019). Gartner survey reports 37 percent of organizations have implemented AI in some form. Gartner Newsroom. https://www.gartner.com/en/newsroom/press-releases/2019-01-21-gartner-survey-shows-37-percent-of-organizations-have

Farrow, E. (2022). Determining the human to AI workforce ratio – exploring future organisational scenarios and the implications for anticipatory workforce planning. Technology in Society, 68https://doi.org/10.1016/j.techsoc.2022.101879

Miller, A. (2019). The intrinsically linked future for human and artificial intelligence interaction. Journal of Big Data, 6(1), 1-9. https://doi.org/10.1186/s40537-019-0202-7

Turner, K. (2016). Meet ‘Ross’ the newly hired legal robot. https://www.washingtonpost.com/news/innovations/wp/2016/05/16/meet-ross-the-newly-hired-legal-robot/