International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
“Artificial Intelligence: A threat or blessing” Analyzing and comparing of Artificial Intelligence and jobs -
.Daivam Arora
--------------------------------------------------------***---------------------------------------------------------------Abstract - This research paper summarizes that artificial Intelligence (AI) is rapidly transforming the job landscape,
influencing employment patterns across industries. This research paper examines the impact of AI on jobs, using Amazon and Google as case studies to understand how AI-driven automation and innovation are reshaping their workforce. The study explores multiple perspectives, including job displacement, job augmentation, and the creation of new roles, highlighting both the benefits and challenges posed by AI. Furthermore, the paper analyzes the revenue generated by AIdriven initiatives in both companies, illustrating how AI contributes to financial growth while altering employment structures. By comparing these two tech giants, the research provides a balanced perspective on AI's influence on job markets, offering insights into the evolving relationship between human labor and machine intelligence. The findings contribute to the broader discourse on AI’s role in the future of work, emphasizing the need for policy adaptations and workforce reskilling to harness AI’s potential effectively.
1. Introduction: Artificial intelligence is changing the job market at a rate where it can’t be predicted at any steps involving opportunities and challenges. AI is revolutionizing industries by incorporating task involving decision making or automating repetitive steps. But there is two sides of the story where some are in fear of job displacement and some see it as an opportunity that will create new roles and boost efficiency. With every new technology coming into industry, everyone have to acquire that skillset to be competitive in market. As AI is being integrated into the businesses AI driven solutions should be adapted by developing new skillset to hold technical development. But this integration create a question that for future employment what skillset is required for relevance and how much dependency is shared between human and AI.
2. AI driven methods used in Industry: AI can be implemented in many industries, whether they are oriented toward products or services. Some of the more popular applications include improving efficiency, automating decision making, and providing better customer service. Here are some fields that are currently integrating AI: 1. Automation: AI eliminates the need for manual work by automating dull and time hungry tasks. Example: Robotic Process Automation (RPA) to automate customer service, invoice processing, data entry, etc. 2.
Predictive Analytics: AI can analyze data to determine later patterns and results. Example: Businesses applying AI to optimize their supply chains, forecast sales, or detect fraud.
3.
Natural Language Processing (NLP) AI allows computers to understand and reply to users in human languages. Example: Chatbots, sentiment analysis on customer feedback, virtual assistants like ChatGPT.
4.
Computer Vision AI is used to automate processes and improve security by analyzing and interpreting known information. Example: Self driving cars, quality control in manufacturing, facial recognition.
5.
AI-Powered Personalization AI moderates user experiences alongside usage data to tailor to individual needs. Example: Personalized recommendations on eCommerce sites, targeted ads, Netflix.
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