{"id":17526,"date":"2020-12-09T19:00:00","date_gmt":"2020-12-09T11:00:00","guid":{"rendered":"https:\/\/www.comparehero.my\/blog\/uncategorized\/artificial-intelligence-career.html"},"modified":"2026-03-26T16:02:05","modified_gmt":"2026-03-26T08:02:05","slug":"artificial-intelligence-career","status":"publish","type":"post","link":"https:\/\/www.comparehero.my\/blog\/tech\/artificial-intelligence-career.html","title":{"rendered":"#DigitalCareers: Top 5 Jobs In Artificial Intelligence That Are In Demand"},"content":{"rendered":"\n

With the rising acceptance of Artificial Intelligence (AI) in different industries, the demand for AI jobs has now increased. Read this article to find out the top five jobs in AI that you should know, and how you can start a career in this field.<\/strong><\/p>\n

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When you come to think about it, the word artificial intelligence (AI) sounds pretty intimidating, and if we are honest, slightly frightening. The thought of super-intelligent robots and machines taking over our lives and automating almost anything we do may put some people on edge.<\/p>\n

Despite this, AI has been around and in use for decades and its applications are way simpler and common than you might think. For instance, Google uses AI to manage and filter your emails in your inbox to ensure it is authentic, and many companies have embraced chatbots as tools to improve customer service by directing them to relevant content.<\/p>\n

Other complex developments in algorithms have led to more advanced AI developments such as smart voice assistants, autonomous cars and emotionally intelligent robots.<\/p>\n

It\u2019s safe to say that AI has come a long way since its mere depiction in science fiction as a \u201cheartless\u201d Tin man from the Wizard of Oz. Without even realising it, most of us go about our days interacting with AI.<\/p>\n

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The global AI market is expected to grow exponentially over the years. (image source: Oberlo)<\/a><\/em><\/p>\n

But AI has not only been appearing in our everyday products and applications – algorithms and machines have also permeated into the career space, and are expected to create 133 million new jobs, but at the same time, displace 75 million jobs by 2022, according to a report by the World Economic Forum (WEF) called \u201cThe Future of Jobs 2018<\/a>.\u201d In other words, the growth of AI could create 58 million net new jobs in the next few years.<\/p>\n

In this article, we will take a deeper dive into AI-related careers, explore the ways one could start a career in AI, the top five jobs related to AI, and the skills it takes to get into those fields.<\/p>\n

The COVID-19 pandemic has disabled the job market – but AI will continue to flourish<\/h3>\n

It has not been a great year for the job market – according to Malaysia\u2019s Human Resources Ministry, nearly 78,000 Malaysians from various industries were retrenched<\/a> from March to October 16 this year, based on data from the Employment Insurance System (EIS)<\/a>.<\/p>\n

The great news is, no matter how you slice it, the future will still be extremely bright for AI and machine learning jobs. According to the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide<\/a>, global spending on AI is forecast to double over the next four years, growing from RM203 billion in 2020 to more than RM447 billion in 2024.<\/p>\n

The increased spending on AI will further accelerate the creation of jobs within the industry. Similar to the earlier data from the WEF, global accountancy firm PwC<\/a>, also states that over 7 million jobs will be displaced by AI between 2017 and 2037 \u2013 but at the same time, generate 7.2 million jobs, which is a net gain of 200,000 jobs.<\/p>\n

The need to remain competitive in the digital economy will spur the acceleration and growth of AI systems across the globe in the next several years. The compound annual growth rate (CAGR) for the 2019-2024 period will be 20.1%.<\/p>\n

Related:<\/strong> Job Loss Amid CMCO: How To Bounce Back From Retrenchment<\/a><\/p>\n

“Companies will adopt AI \u2014 not just because they can, but because they must,” said Ritu Jyoti, program vice president, Artificial Intelligence at IDC. “AI is the technology that will help businesses to be agile, innovate, and scale. The companies that become ‘AI-powered’ will have the ability to synthesize information (using AI to convert data into information and then into knowledge), the capacity to learn (using AI to understand relationships between knowledge and apply the learning to business problems), and the capability to deliver insights at scale (using AI to support decisions and automation).”<\/p>\n

As companies increasingly rely on and produce a massive amount of structured and unstructured data aka big data, the need for specialists to analyse and extract knowledge and insights from those data points, increases as well.<\/p>\n

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Most US and UK organisations are completely invested in AI,<\/a> according to 2019 research from SnapLogic. (Image source: SnapLogic)<\/em><\/p>\n

There\u2019s a slight dilemma, however. Although AI efforts are maturing and moving from \u201cprototype to production,\u201d as reported in a survey by O\u2019Reilly<\/a>, there\u2019s still a lack of sufficient AI and ML skills in the market to support this growth.<\/p>\n

This is echoed by a report by SnapLogic titled, The AI Skills Gap<\/a>, which found that although 93% of US and UK organisations consider AI and machine learning to be top business priorities with various projects planned or already in production, more than half of them (51%) acknowledge that their businesses do not have the right mix of skilled in-house AI talent to bring those ideas and strategies to life.<\/p>\n

This issue is one experienced in the Malaysian market <\/a>as well. Despite the potential of AI, the lack of skilled AI talent hinders the field from fully blooming. If you are interested to learn more about starting a career in AI, continue below.<\/p>\n

How to start a career in artificial intelligence (AI)? Here\u2019s a step-by-step guide<\/h2>\n

Before you can register any interest in AI, it would be beneficial to understand what it is. Most people would probably assume that AI refers to robots – though this is not entirely far-fetched. However, the more accurate way to think of it is a field of computer science that teaches machines to think and behave like humans as well as execute tasks usually done by humans.<\/p>\n

Related: <\/strong>#DigitalCareers: 10 Ways To Upskill and Reskill Amid COVID-19<\/a><\/p>\n

1. Figure out if you are a right fit<\/strong><\/p>\n

You\u2019ve heard this before but, careers are not one-size-fits-all. Not all personalities or backgrounds are suitable for the same types of jobs or career developments. Before spending a large amount of time – and a large chunk of your money – studying computer science, make sure you are a good match for the field first.<\/p>\n

Undeniably, AI is a technical and subject-heavy course, and you will need to have strong computer skills and analytical thinking before pursuing a formal education in AI. You will need to be inherently analytical to enter this field.<\/p>\n

2. Complete a formal education programme<\/strong><\/p>\n

The obvious next step is to complete a formal education in computer science or a related field. Basic math and computer knowledge make up the backbone of most AI programmes.<\/p>\n

Besides that, it\u2019s also important to get into the right degree programme as this will set you on course to thrive in the AI field. You will need to possess a Bachelor\u2019s Degree in Computer Science to be competitive enough to secure good jobs.<\/p>\n

Most entry-level positions require at least a bachelor\u2019s degree, and positions involving supervision and leadership typically require master\u2019s or doctoral degrees. From what we found<\/a>, the list of typical coursework involves the study of:<\/p>\n