What are the latest industries that dominate AI jobs?


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The artificial intelligence industry is undergoing a massive transformation in 2022. The post pandemic era has opened up new spots for job seekers in industries that directly hire skilled and certified professionals who have completed their AI courses. As it happens in any field, AI trends are normalizing, passing through a phase of consolidation with a lot of mergers and acquisitions happening at the ground level. In addition to the mergers, the AI industry is also attracting massive investments. 

With so much happening in the AI domain, the job market is definitely a complex ecosystem with a lot of focus being put on hard skills that are commonly associated with programming, data analysis, and software development. In this article, we have identified the latest trends in the AI marketplace that dominate the jobs and hiring demands.

Business intelligence

As of April 2022, BI driven AI jobs would technically dominate the job trends, which may shift to more analysis based roles in the coming months.

According to the latest projections about the Business Intelligence market, the global revenue share from this industry is expected to cross USD 24 billion by the end of 2022. Some researchers believe this number is on the lower side as we see a rampant and meteoric rise in the use of AI based applications that are specifically catering to the customer base of BI solutions. The job market, therefore, will remain highly attractive for BI analysts and BI engineers who pass out with a certification in AI courses based in Gurgaon, Noida, and Bangalore. 

With the market opening after the pandemic, the global BI industry is looking at the Indian job market to fill the growing demands for critical top level executives and product management executives in banking, healthcare, software development, and IT services.

Food industry

Most AI leaders work in a rather stealth mode— outsiders seldom get a whiff of what projects these highly skilled professionals are actually working on. This brings us to the next big thing in the AI industry—the world of “foods and beverages.” Now, the food industry is more than what you would conventionally associate with – more often than not, the end product which is placed on your platter. Correct?

 Well, AI is here to change that. 

AI’s role in transforming the food industry is significant and yet highly undervalued, considering the percentage of the global population still fighting acute drought and poverty, not forgetting to mention, that children and the elderly still find it hard to find nutritious food. With AI in the picture, analysts are working with food producers, packaging companies, logistics, and supply chain management vendors in bringing food to everyone’s plate in the best possible condition and health. For example, NLP and image recognition techniques are used to label different food items and computer vision is used to identify the freshness of food items. Similarly, advanced NLP is used to find the ingredients that distinguish one family of food and beverages from others. In Google, you will find tons of examples of how AI and machine learning algorithms are used to pick a recipe for food items using pictures, video, or speech.

A lot of exciting work is happening in this food industry, and AI courses definitely help grab the best paying opportunities with some great academic resources and industry projects with networking.

Healthcare research and education 

The use of AI in healthcare and related research fields is another prominent job avenue for certified data scientists and analysts working in Big Data and Python programming. According to the latest reports, just like what’s happening in the BI domain, AI is expected to be touching $25 billion USD in annual revenue by end of 2022. By 2025, this would cross $60 billion, employing more than 250,000 data science and analysts workforce in the US, Canada, Germany, and India. 70% of these would be working in AI related fields for document processing, patient experience, health records management, mobile app developments, diagnostics, and patient post-surgery / rehabilitation care and sports injury management. Fitness and maternal/ neo-natal healthcare management would also deploy AI engineering products for better outcomes, particularly in cases that are considered a trick and complicated.

Currently, a lot of research is already underway in cancer detection and treatments, drug therapies, vaccine development, and gene therapy. As AI becomes more mature and reliable, we will see more jobs open up in high value markets like India where AI courses would be better positioned to develop the healthcare market of the future.