That artificial intelligence has brought about an incredibly huge transformation in the job market by helping with routine tasks such as coding, etc., is a statement the accuracy of which is unquestionable. Amazingly, AI does such tasks more quickly and accurately than humans. So, will the engineers who have been tirelessly doing these jobs all these years become useless in their field of endeavor, the reason being that their chances of employability have suddenly become slender? "We have always been loyal to the company" may prove to be an exhausting, cringeworthy argument. In this context, will they be shown the exit because their bosses will be dismantling the existing workforce structure to infuse new blood with new skills into their organizations? Or will they still be useful to the organizations?
To the above questions, the answer is: Those engineers who are ready to embrace the transformation and equip themselves with the required futuristic skills need not harbor the fear of falling into the dark abyss of unemployment. They should learn to understand contexts, and only then can they use AI-generated work in enterprise systems, including the highly complex ones. They should also check continuously whether the AI-aided systems work in the long term without being subject to vulnerabilities. Simply put, the whole process will be smooth only if engineers understand impeccably the contexts for which clients need their services.
This means that those engineers who have begun to harbor doubts about their employability should look at the kernel of opportunity AI has bestowed on them. To put it bluntly, engineers can overcome their fear of losing their jobs by strengthening their skill sets.
Who are the employees organizations are likely to look for?
Thanks to the changed scenario, organizations have already started looking for those who possess wizard-like knowledge of business domains and the contexts for which clients need services. In addition, they expect that employees must be able to make judgments based on their knowledge. This means employees who can acquire contextual knowledge of high quality and make appropriate use of it will get a preference over others.
How does contextual knowledge help?
Contextual knowledge helps in understanding what the clients need so that systems can be tweaked suitably. It helps in identifying bottlenecks and impediments as well. Those employees who are ready to interact closely with clients will be able to create good, viable, and productive ideas that can be suitably implemented to fulfill clients' needs.
In short, engineers need not lament that AI is robbing their jobs. On the other hand, they should be ready to adapt to changes and make significant improvements in their skill sets. By doing so, their pastures will always remain green.