BLOG

OUR WRITE UP THAT KEEPS YOU INFORMED

Image of How AI will fail new careers

How AI will Fail New Careers in Digital Technology Industry

By Anthony Alex Akinola
Author | Web dev | Development advocate

Share
Like Follow Contact us

The revolution of artificial intelligence (AI) is no longer a news, from content generation to customer service virtual assistants, and automations, AI is providing many supports as human assistants, which is the initial intent of AI development. But the failure to distinguish between assistive and exclusive dependent use of AI would result to careers becoming unsuccessful in digital technology industry.

An example of assistive use of AI is when users are able to evaluate AI generated contents with user existing knowledge or experience about the subject matter before using it. Recent observations shows that new and upcoming career individuals in digital tech industry are trying to create illusion of using AI to replace human intelligence and impact by exclusively depending on AI generated contents. AI would not replace human except it would end before it can be given the chance to get used for long. The easiest self-destruction is to challenge your initiator.

As AI is elvoving, what it brings next is unknown. The easiest way to fail in digital technology career amidst other ways is to solely depend on use of artificial intelligence generated content in replacement of having human taught practical knowledge and experience of coding aspect of certain subfields in digital tech industry. For example, exclusively depending on AI generated content wouldn't make a novice a web developer that can sustainably work smart and earn big, but an impersonator without control over their work when it crashes or faces challenges because they lack practical experience of the behind the scene. Thus, AI would expose and get them out of job in opposition to getting them more jobs.

The expectation from AI is to create more jobs than taking away. Companies and employers are looking for people who can debug problems and build solutions, not people who solely depend on what AI generates. There would always be one problem or the other, whilst only probem solvers would be the most important to hire or retain when the need rises.

The best way to get the most out of AI in tech industry is to have background knowledge of coding and be able to code in order to have control leverage on AI. The use of AI is yes, a medium of working smart, especially in digital technology industry, and the working smart can be sustainable with a background (knowledge) in coding.

How to Stay at the Forefront of Digital Technology Jobs

Working smart is not about shortcuts and avoiding working hard, it's about smartly working hard, which results to less work, high efficiency with the help of existing background experience. Working smart is implementing new techniques based on existing ones in order to get work done or achieve a result efficiently in less time and energy use. The point here is, depending on using AI generated content for a career in digital technology industry of today without a background knowledge in coding isn't working smart and worldn't stand a chellenge, neither would it sustain the career.

How to stay at the forefront of digital technology jobs include the following:

  • Learn to code. The foundation of every digital technologies is coding, which make them functional. for example, a computer without written programs that makes it usable is just an ordinary object. Learning to code gives experience of how digital technology works.
  • Don't just start with languages, but learn fundamental concepts of programming. This is a short practical course that controls comprehension of programming.
  • Continue your journey with learning web coding, which is the frontend of webpages, an high-demand skill for creating website, applications, and it offer opportunity to work remotely.
  • Focus on your chosen area, never stop learning, and use AI generated content responsibly.

In conclusion, working smart returns big reward but requires intelligence and existing background experience, which would be implemented with new techniques. Let your use of AI generated content be of assistive rather than dependency.