thesis statement

thesis statement

The Impact of Artificial Intelligence on the Future of Work

1. Introduction

This essay aims to analyze the effect of Artificial Intelligence (AI) on the work of the digital age and the future of work. The anchoring question is how AI will change societies and economies. The biggest change will be the impact on jobs and work itself. According to a recent report by The World Economic Forum titled “The Future of Jobs,” it is predicted that 35 percent of the key skills of 2020 will change, with 42 percent of core readily changeable skills. Technology may have changed since the research industry is conducted, but the skills required to work in these future areas (adaptation, social influence, advanced problem-solving, strategy, reasoning, reconsideration, and creativity) are part and parcel of human endeavor that is not driven by machines. Nor are they taught in the analysis of conventional laboratories or classrooms. It is the constant real-time learning that was not only mastered, it was also routinely tested. This essay will revolve around three policy areas, namely social policy, education, and employment policy.

The ongoing fourth industrial revolution is not only transforming the workplace and how we live, but also the type of work we do. Along with intensifying globalization, growing populous cities, more aging citizens, and a diminishing half-life of skills, technology is rapidly altering traditional industries, lowering transaction costs, and creating global work platforms that affect everything from office work to car mechanics. So, what is the likely future mix of job outcomes to emerge from this uncertain world? The nature of work is changing and becoming more flexible. The mix of working hours worked, the structure of work, and the nature of work has already begun to change. However, the principles of predictability, flexibility, social dialogue, and work-life balance should also be applied to this new world of work.

2. The Evolution of Artificial Intelligence

The art of computer science aims at improving equipment and machine applications to take advantage of the unique qualities of users. “Classic” AI refers to apps developed or coded to perform narrow duties and jobs, such as game-playing machines and production line control schemes. The final goal of artificial intelligence is to build robot thinker machines like the ones in movies and TV shows like “Sentient” or “Robot.” This is super-human level AI, and it gives the weapon more error, feel, and intelligence. On the other hand, computer or automation artificial intelligence is what we need for the time being. But modern data and fast processors are helping us to enhance our potential, and there are not many things that AI and robots can’t do in the coming decades.

Artificial intelligence, known by the abbreviation AI, can be defined as a system or technology that is capable of processing inputs, applying algorithms, and learning from this process. Thanks to experts working in research and development, AI has come a long way since its origins. It was first conceived in the 1950s, and in 1958 John McCarthy established the term ‘artificial intelligence’ to describe smart machines. A few years later, in 1956, scientists from a variety of institutions, including IBM and Dartmouth College, gathered to conduct a truly academic examination of AI. The goal of the conference was to begin the brain-building cognition process, culminating in high-level software. Ultimately, before any computer system could do so much, there were significant efforts in the field of logic reproduction and arithmetic. Over the following forty years, AI in its current form was developed and progressed significantly. AI technology has made major breakthroughs and has surpassed the public sector, drawing attention to the technology’s potential impact on productivity and worker safety.

3. Current Applications of AI in the Workplace

It is worth noting that cutting-edge uses of AI are programmed to understand when human judgment is needed. While the technology can take a customer’s food order at a fast-food restaurant, it would recognize when human intervention is needed for a complex or unusual order. Leaders say this is a best practice and beneficial to workers and customers because it uses a “human touch.”

– Healthcare: AI chatbots are being developed to communicate with patients about symptoms and diagnoses to reduce the burden on doctors. – Human Resources: Recruiting technology is employing AI systems to help sort through resumes and select candidates. Some systems automate first-round video interviews, and chatbots are used to provide updates to candidates and answer frequently asked questions. – Retail: Advanced AI data systems allow for highly detailed tracking of inventory and use predictive analytics to prepare for shifts in consumer demand. This can help with the timing of sales, discounts, product launches, and investment in future stock. – Administration: “Robotic process automation” (RPA) is being used to help employees automate repetitive, routine tasks—such as sending out email responses or processing a received payment. Messages are sent to a chatbot that automatically clears up the employee’s inbox or takes action with the relevant systems (e.g., to add that a bill has been paid). RPA can be part of your larger AI systems, but not all AI systems are RPA.

Artificial intelligence has begun to make its mark in various aspects of business operations and work settings. Here are a few examples of current applications of AI in various company settings:

4. Challenges and Opportunities for the Future

With increasing amounts of data being available on individuals, from their health and well-being to their work attitudes, it was inevitable that digital companions offering advice for achieving a healthy lifestyle would be created. Never get sick again or never feel tired as a result of complete life and work automation are just some of the extreme scenarios AI could also enable. The vision of AI presented is quite a utopian end game. However, it does raise concerns, particularly in terms of the dilemmas it presents. For example, does a world where there is constant access to those who need help lead to an infinite workload? When an individual doesn’t have the energy to complete all the tasks they have been told to complete, they will be under intense pressure and stress, but it is in the AI’s and employer’s interests for the individual to take their advice. In such situations, who is responsible for decision making: the individual, the AI, or the employer that contracted the AI?

Although integrating AI into the workforce will come with its fair share of dilemmas, one cannot ignore the capabilities that AI could offer our future in terms of supporting healthy and productive life choices and a rewarding work experience. We live in a world where humans are seemingly more connected to technology than they are to their family and friends, despite technology being created to improve the human experience. Generation Z is growing up in this world, surrounded by technology that will seamlessly interact with and support them in their day-to-day activities. AI is a fundamental ingredient in these systems and services, and offers the potential for many more creative and innovative solutions.

5. Conclusion and Recommendations

– Raise awareness of soft skills. According to a 2017 LinkedIn article, the most promising jobs of the future need “soft” as well as “hard” skills. – UX is crucial: Software should “disappear” when not needed. It ought to be intuitive and low-cost to get started periodically and help manage assertively, out-performance. Introduce and explain AI continuously. AI-assisted software (including products using AI to search and display data) ought to help train users, not just perform the task at hand automatically.

Based on the above, companies should consider the following recommendations:

The coming years promise the continued and rapidly evolving use of artificial intelligence (AI) and machine learning (ML) in the workplace. These technologies hold the potential to alleviate the more mundane and repetitive aspects of many positions, and to offer new and imaginative ways of completing complex tasks. However, it is clear from the literature that they will not lead to massive job losses – indeed, in many cases the goal is to make it easier or more efficient for humans to complete their jobs. There are concerns that this AI-assisted workforce – where seemingly everything can be automated or improved through new pieces of software – could lead to burnout, stress, and even a potential “new digital divide” amidst a workforce that is not able to take advantage of these technologies in the same way.