Long ago, humanity entered the era of industrialization thanks to primordial mechanics with steam engines. But with the introduction of the World Wide Web and mobile technologies, smart devices, exponential advances in healthcare, and digital revolutions accelerate mechatronics studies nowadays. In the agenda of Artificial Intelligence and Robotics, Last World Economics occupies an important place. Economists such as Roubini and Stiglitz have also expressed their views on the impacts of artificial intelligence on the economy and business. However, Stephen Hawking criticized the risks of the same, nowadays it is a regular trend in the media to criticize modern technology without any evidence, even if it is still in a premature state. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay Already, humans have stored and processed much of their data and information by machines, soon, a brand new type of electrical neural network will dominate this industry and establish an order in which machines will be capable of reasoning about almost everything and everything will be connected by electrical signals of one form or another supported by sophisticated software. [2] Gradually progressing into the future, these intelligent mechanisms will be more powerful and, in turn, will improve human capabilities in every aspect of life. “Artificial intelligence,” which is a term used to indicate the degree of intelligence possessed by a machine when combined with machine learning, is now a potential game changer strongly supported by data analytics.[3] This field of computing is becoming increasingly intelligent and intelligent enough with its predictive capabilities to make our lives smoother and thus humans more than ever will be able to enjoy their free time with their family and friends more. “Technology does not have to result in the immediate destruction of jobs to produce substantial unemployment in the future.” The impact of information technology on the employment sector has been studied extensively. For example, IBM's Watson used statistical analysis of historical data to transform irregular, non-routine operations into routine tasks that can be scheduled. [4] What does the above statement try to convey? This simply means that these machines can simplify seemingly difficult tasks and therefore “an ever-increasing share of work will become susceptible to automation”. [4] Artificial intelligence (AI) is a field of engineering that involves emulating human perspectives, learning limitations, and data storage. Artificial intelligence methods have been employed in the field of medicine, for example in cardiovascular prescribing to study new genotypes and phenotypes in existing disorders, to reduce readmissions, lower costs and make improvements in patient care that result in mortality rates lower. In the previous decade, some machine learning methods have been used for determining and predicting cardiovascular infections. Every problem requires a certain level of understanding of the problem, regarding the cardiovascular solution and insights, to apply the ideal machine learning computation. Sooner or later, artificial intelligence will bring a change in perspective towards the precision of cardiovascular drugs. [5] In contrast, AI Dystopian imagines a future in which irreverent AI proceeds in its way of expanding knowledge to a saturation point beyond which their knowledge will be so distant from us that we will not.