AI has been in existence for the last several years. It makes an impact our work style and living style. The newly introduced generative AI on which ChatGPT is based is no exception. Traditional AI is cognitive technology. The same is used for training the machines. Generative AI generates output was not in existence. The training too is different. If a man reads non-stop to understand the accumulated information, he will take 2000 years to do so. Such a body of knowledge has been assimilated by the GPT4 model based on generative AI.
A teacher teaches essay writing to students in two ways. The first way is to make students do an outline, collect information on the topic, be particular about writing style, be attentive to the opening, middle and the end of the essay, make use of references. When all this is mastered, the students will start writing the essays. The second way is to make available to the students different types of essays to read. The students form an opinion on essay writing by reading them. The new essay will be generated by the students thereafter. This second way is similar to the way generative AI works.
Generative AI has affected artists and designers. New art work can be created using this technology very quickly. It has the capability to automate the designing of layouts, logo and visual elements. It will affect the graphic design field.
Generative AI affects the content writing and literature. It could be used to create articles, stories and other written material. It could generate an entire book. It can affect literary pursuits and journalism. It can summarise big books, legal judgments, medical journals very quickly. It will affect legal firms, creative agencies and marketing agencies.
In the field of customer service, generative AI affects call centre workers in BPOs and KPOs. Generative AI works in Github Co-pilot, and can create websites, mobile apps and computer programmers.
Generative AI facilitates the working of civil constructions and architecture. Repetitive work will be most affected as these are likely to get automated.
Technology displaces old jobs and creates new ones. On the one hand, it adversely affects existing jobs, and on the other hand, there are new opportunities. There should be focus on good prompts to generative AI to get the desired output. AI models can generate unsuitable outputs. AI models do not have an understanding of intangible truth in the models, the sense of distinguishing the right and wrong and common sense. At times, the outputs are fallacious, biased and false. Human oversight is, therefore, necessary.
According to McKinsey Globe Institute, AI and automation can displace 800 million jobs by 2030, At the same time, there will be new employment opportunities. Almost 275 million people will have to cope with the change in their work. The manpower will have to acquire new skills. Manpower can become outdated in 5 years. You cannot continue lifelong depending on existing skills.