Artificial Intelligence is dramatically improving the world in many ways. However, amidst all the convenient services A.I. provides, it creates a massive fear concerning mass unemployment. Several books and news articles have been released in recent years with visions of impending disasters caused by automation. The innovative features of ChatGPT are already setting the standard in sectors including marketing, advertising, customer service, and healthcare.
A couple of years ago, Elon Musk, the iconic Silicon Valley futurist who is the founder and CEO of SolarCity, Tesla, and SpaceX, commented that robots would take away people's jobs. However, with rapid technological innovations and advancements, robotics has been a threat to human dignity.
Why is A.I. chosen over humans? From fashion and health to construction, automation is beneficial. Artificial intelligence in the world of manufacturing has limitless potential. A properly trained A.I. system can understand customer requests in natural language, estimate customer’s interests early enough, and apply the corporate policy to identify the best decision.
Here is the World Economic Forum data that shows the future job loss of low-skilled employees in different countries. The following graphical data represents the elimination of millions of jobs in various countries by 2030.
From the above data, it’s evident that China will face the most job elimination for low skilled employees. The data covers six countries. However, more countries will face more significant job losses due to automation.
Country | Assumed job elimination (in million) |
China | 236m |
India | 120m |
U.S | 73m |
Japan | 30m |
Mexico | 18m |
Germany | 17m |
Low-skilled professionals with no multitasking jobs are at greater risk. Read below to know about how RPA will impact job losses.
RPA is a software application that minimizes time to market and reduces the cost over the more traditional software-led approaches. The recent report of Bank of America says RPA will shrink headcount by 30 percent. Perhaps the most worrying trend is that emerging market jobs are also at risk of automation. This challenge will hit the low and mid-skilled sectors and employees. RPA is undoubtedly a revolution in business processes.
RPA handles repetitive, rule-based digital tasks quickly. It enables organizations to give mundane admin work to machines as it can take it into full compliance. The works generally include filling in the same information, generating the same data in multiple places, reentering data etc. This includes BPO roles and other low-skilled services.
Country | Percentage of job loss |
US | 21% |
India | 22% |
Philippines | 16% |
2017 Kearney Global Services Location Index™ shows us the expected widening impact of automation in BPO service in the above table. The critical determinant of this job loss due to automation is the mix of business functions that the BPO industry in these countries serves and the ease of replacement with automation.
Robotic Process Automation software bots can interact with any application as humans do, nonstop, much faster, and with precision. It will not only reduce errors and save time but saves costs too. It will remove the burden of working on repetitive tasks. You might have also heard about how RPO is changing the face of the BPO Industry. RPA meets the requirements to drive down costs and increase output in the dynamic business landscape.
Since RPA mimics the activities of human beings and performs the low-skilled workforce, many soft skills required by professions will be taken over by automation. Reports show that the U.S lost over 60 million jobs with the emergence of Robots and Artificial Intelligence. Thus, the amount of individuals who will impact is immense.
Bloomberg reports that more than 120 million workers globally will need retraining in the next three years due to artificial intelligence’s impact on jobs. The world’s most advanced cities will also have a huge hit and aren’t ready for artificial intelligence disruptions. In India, TCS, Infosys, Wipro, Cognizant, HCL, Tech Mahindra, and other IT firms lay off 30 lakh employees.
An interesting recent AI innovation is Kiva Robot. Kiva Systems wants to revolutionize distribution centers such as Amazon and Zappos warehouses. Kiva is used for a small Amazon warehouse operation that costs around $1 million to $2 million. These tiny, cute, orange robots require only 15 minutes to find, pick, and package an order. At the same time, a human will need about 60-75 minutes to accomplish the same tasks. Amazon is estimated to have 100,00 Kiva robots. “If I’d known about Kiva back then,” says Craig Adkins, vice president of fulfillment operations at Zappos, “I’d have built the entire building with nothing but Kiva.”
Concerning the various jobs that would get affected by AI and RPA, here goes the list:
Dependency on Automation starts from home. From cleaning robots to bright lights and intelligent homes, everything is advancing. As of today, the jobs mentioned above may be replaced by Artificial Intelligence.
The fourth Industrial Revolution encompasses more than just IoT and nanotechnology; it also highlights the importance of AI. Everyone must prepare and reskill for better job prospects. Staying updated on trends like ChatGPT and other AI developments requires a proactive approach to continuous learning. Enrolling in AI courses can help you gain the skills needed to thrive in this rapidly evolving field. By adopting a multi-faceted learning approach and engaging with the AI community, you can keep pace with advancements and remain at the forefront of AI developments.
Here is the list of other major locations where Edoxi offers Artificial Intelligence Course
Artificial Intelligence Course in Dubai | Artificial Intelligence Course in Qatar |
Software and IT Trainer
Jothi is a Microsoft-certified technology specialist with more than 12 years of experience in software development for a broad range of industry applications. She has incomparable prowess in a vast grouping of software development tools like Microsoft Visual Basic, C#, .NET, SQL, XML, HTML, Core Java and Python.
Jothi has a keen eye for UNIX/LINUX-based technologies which form the backbone of all the free and open-source software movement. As a Big data expert, Jothi has experience using several components of the Hadoop ecosystem, including Hadoop Map Reduce, HDFS, HIVE, PIG, and HBase. She is well-versed in the latest technologies of information technology such as Data Analytics, Data Science and Machine Learning.