AI: Professional Friend or Foe?

Artificial intelligence (AI) is now being used in several industries and is considered as one of the drivers in the current jobs changes.

Learn how “Sci-Fi” technology works behind the huge industry trend that is Machine Learning with our blog post Machine Learning 1.0.

Will AI Threaten Your Job?

According to a World Economic Forum (WEF) article, jobs as data analysts or software engineers all over the world have to develop or improve technical skills such as AI, automation, cloud computing among others. But what about roles that have as part of the job description certain repetitive tasks that can be automated?

This kind of jobs, like administrative assistants, customer service representatives, accountants, and technicians, can be threatened by AI.

The growing of AI as part of the employees’ skills is influencing several industries and job descriptions.

The WEF research also shows three remarkable conclusions:

  • A 190% increase from 2015 to 2017 of AI skills. These skills, such as neural networks, deep learning, and machine learning, are the ones needed to develop artificial intelligence technologies.
  • Industries that have employees with AI skills are the fastest-changing industries.
  • By 2025, the amount of work done by machines will jump from 29% to more than 50%. 

If we consider change as an innovation driver, AI skills present the most innovative industry for the workforce. This also indicates that enterprises need to invest in developing AI capabilities to be innovative.

On the other hand, market demands for AI skills will likely increase. This is because although AI has evolved, for the time being, AI can’t replace human workers.

Under these scenarios, companies and leaders must train the workforce for these new technologies as well as develop or improve AI skills to be prepared for the modern economy’s changes.

Our recommendation? Developing AI skills and the skill to your resume. 

Learn how “Sci-Fi” technology works behind the huge industry trend that is Machine Learning with our blog post Machine Learning 1.0.

Menu