AI or Artificial Intelligence is undoubtedly ruling the current digital workspace, and according to PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution, AI could contribute up to $15.7 trillion to the global economy by 2030. The overwhelming narrative that AI and Automation will take over human jobs, it may or may not be true, but these technologies are undoubtedly changing the nature of roles currently on offer. However, certain aspects of the roles now performed by humans continue to be beyond AI - tasks that are personal, creative, management, and those that deal with human emotions. Jobs involving these tasks will require Human-AI collaboration where humans will manage, monitor, and even teach these machines. Hence being smart and thinking ahead to acquire expertise in these skills can add tremendous value to an individual’s current role. 

This blog explores the job roles that will be benefited by the introduction of AI and Automation, as they directly complement and enhance these roles.

Here's the bright chance to create your dream career! Enroll in the Post Graduate Program in AI and Machine Learning with Purdue University collaborated with IBM today, and take the first step towards your dream career.

Problem Solvers

Problems solvers are those who like managing people, events, and jobs to deliver positive outcomes. While some people have this as an inherent skill, others need to work on building ingenuity and problem-solving skills. Today, these skills are highly in demand and require skilled professionals who can utilize information and knowledge to resolve issues and engineer solutions. Jobs that require in-depth problem-solving skills are computer system analysts, air traffic controllers, actuaries, and hospitalists.

AI and machine learning can do wonders in calculating figures at an astonishing rate. They can provide the right solution to a problem in no time. However, human intelligence is required to complement this AI feature. For example, training a machine to recognize the shape of a cat or a dog needs to feed multiple images to their memory. Even then, the most advanced AI-enabled machines get confused when asked to pick between the pictures of a dog-shaped tree and the real dog.

Computer Engineers (Hardware)

With the ever-growing field of AI and automation, the growth in the demand for qualified hardware engineers is foreseeable. A McKinsey report predicts that the need for skilled engineers, including computer scientists, engineers, IT administrators, IT workers, and tech consulters, will increase by 20 million to 50 million globally by 2030. AI and automation need engineers to build, run, and maintain them.

Mechanical Engineers 

The core job of mechanical engineers is to build machines that perform specific tasks. And the machine needs men.  An AI-enabled machine can produce a desired amount of torque and provide you a complete set of gears, but it can not build a fully automated car without human intervention. While robots can prove to be a great assistance, but they need humans as the master at creating any sophisticated system. 

Healthcare Professionals

Artificial Intelligence is already being used to diagnose and treat diseases. For instance, IDx-DR is the first-ever autonomous AI system that instantly detects the condition. With the backing of the U.S. Food and Drug Administration (FDA) to provide diagnostic support, it detects signs of diabetic retinopathy in visual images and then uses an algorithm to create a binary diagnosis in minutes. AI can also be extensively used in treating cardiovascular diseases, as well. The presence of AI will help medical professionals in diagnosing diseases quicker and, utilizing the data gathered from AI algorithms, work on finding better solutions. Hence, it becomes essential for healthcare providers/radiologists/pathologists to grasp and implement these technologies. 

Creative Jobs(Art, Writing)

Computers have been used for artistic purposes ever since it was invented. Everyone knows about Google DeepDream- a visualization tool and how funny and trippy images it can create. However, art in any form requires a high level of creativity. It needs ideas, engagement, style, and beauty. While robots can assist you in writing social media posts, suggest headlines, book titles, or imitate writing styles, the best art- books, paintings, films, and plays will ultimately be created by humans, at least in the immediate future.

AI Research and Engineering 

With the growth of AI and automation, there will naturally be a rise in the demand for skilled AI professionals. Also, some entry-level AI positions can get automated in the future as technology progresses. Thus, AI professionals will be required to upskill with the current advancements in AI. Similarly, software engineers will have to upskill with assembly language, high-level language, object-oriented programming, mobile programming, and now AI programming.

With new opportunities and industry growth paths, new and unique job positions are being created in every area of business operations. Here are some of the most sought-after AI roles:

  • AI/Machine Learning Researcher 

    Responsible for improving machine learning algorithms 
  • AI Software Development, Program Management, and Testing

    Developing systems and infrastructure that can use machine learning to derive critical business insights
  • Data Mining and Analysis

    Performing deep investigation of enormous data sources, often creating and training systems to recognize patterns that will be crucial to business decisions
  • Machine Learning Applications 

    Responsible for applying machine learning or AI framework to a varied range of business problems, like ad analysis, fraud detection and gesture recognition  


Source: weforum

Accelerate your career with the Post Graduate Program in AI and Machine Learning with Purdue University collaborated with IBM.

How To Stay In-Demand

A recent study from career and hiring data firm, Paysa indicates that 35% percent of the AI roles need a Ph.D., and another 26% require that candidates possess a master’s degree. With the proper understanding of where the global workspace is heading, you can market yourself on the most sought-after professional skills. And, industry-specific certifications will help convince prospective employers that you have the right skills and expertise for a job and make you an in-demand professional. 

Simplilearn offers a host of certifications that equip professionals with much-needed knowledge and industry-read expertise in these cutting edge technologies. Our Automation Testing Master’s Program will set you on the course to becoming an expert automation test engineer with a focus on software development and quality assurance. There is also AI courses, co-developed with IBM, that imparts training on the skills needed for a rewarding career in the field of AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies and hands-on experience. Keeping the innate need in mind, Simplilearn has launched the AI and Machine Learning courses with Purdue University in collaboration with IBM that will help you gain expertise in various industry skills and technologies from Python, NLP, speech recognition, to advanced deep learning.

The comprehensive Post Graduate Program provides you a joint Simplilearn-Purdue certificate, and also, you become entitled to membership at Purdue University Alumni on course completion. IBM is the leading player in AI and Data Science, helping professionals with relevant industry exposure in the field of AI and Data Science, providing a globally recognized certificate, complete access to IBM Watson for hands-on learning and practice. The game-changing PGP program will help you stand in the crowd and grow your career in thriving fields like AI, machine learning and deep learning.