Let us set aside the question of whether Artificial Intelligence (AI) would be able to perform with the freedom of humans and therefore make them obsolete. In that instance, one pressing issue must be addressed regarding the impact on the job market and career possibilities.
Because AI threatens to dissolve the boundaries between technology and human intelligence, fears that it will take over many working-class people are becoming more acute and obvious. On the other hand, today’s economists offer a more optimistic picture. According to recent estimates, Artificial Intelligence (AI) is projected to stimulate significant innovation, with computers acting as employees doing routine and manual tasks. At the same time, people focus their efforts on strategic and creative tasks.
AI will reconstitute the majority of the job roles:
AI will very certainly create more jobs. It will, however, rearrange many of the current job roles. Everything will be there, from fast-food eateries to healthcare and agriculture. In cloud computing, for example, AI can properly estimate workload levels, enabling the DevOps team to create tests and collaborate with the site reliability engineering (SRE) team. AI implementation in healthcare would entail nursing practice with robots.
Manufacturing sector to be impacted by AI:
AI has a large presence in the manufacturing business because it was an early adopter. As per recent reports, 60% of businesses are already using AI in the two most popular sectors – maintenance and quality control. However, specialized skills are still necessary for new technologies to function. Collaborative robots, for example, may assist people with complex tasks, but they must be programmed to do so. Certainly, there is a clear need for people’s skills to grow to fill tasks that machines cannot.
AI’s role in cyber security:
Wage growth in cybersecurity is among the fastest. As artificial intelligence gains traction in cybersecurity, young and inexperienced cybersecurity executives are concerned about their careers. It offers the benefit of increasing speed, offering protection and breadth of coverage, and assisting in automating difficult tasks. These technologies, however, are only as effective as their human operators. Only people can detect deeper layers of corporate risk. This is one area where cybersecurity firms would like to test a potential employee.
Engineers’ role in sure site reliability:
As AI and machine learning redefine SRE positions, they will change tremendously. The SRE team can utilise machine learning to eliminate tasks like preparing apps for production and fine-tuning them for a specific task. Because it demands many permutations and combinations, Artificial Intelligence may be able to handle it better, freeing up people for other important work.
AI in Robotics:
Robotics is a vital technology that can potentially replace people on a vast scale. According to the most recent industry projections, the Robotics market is currently worth $103 billion and is predicted to grow to $ 210 billion in the next two decades. Given the growth potential, the job market for robotic engineers is expected to develop in the coming years.
Artificial intelligence and the creative industry:
It is well understood that AI is creative and possesses a high level of creative intelligence. This is a reasonable assumption because mental abilities such as having several approaches to a problem and the ability to connect dots to reveal a pattern constitute creative thinking, and AI can do it all fairly well. On the other hand, humans can apply intuition, identify context, and have emotional responses.
The Metaverse and AI:
The metaverse is no longer just jargon; it is a self-contained system with its economy. As a result, it may open up new possibilities in an AI-enabled virtual reality realm. Though it is still in its initial stages, the convergence of technologies such as AI, VR, gaming, blockchain, 5G, and augmented reality (AR) has already created various opportunities, including game designers, NFT strategists, Blockchain designers, and so on.
No code – low code AI
The low-code-no-code trend in AI is a threat to the developer’s job. Experts believe it will just fill gaps rather than render developers obsolete. However, for this to happen, IT and software engineers must migrate away from traditional IT employment. They should take on other responsibilities, such as working with business teams, to enhance their technical skills.
Businesses will explore ways to teach their employees to be more adaptable to higher levels of abstract thinking as AI becomes more widely utilised. Apart from preparing individuals for AI, a significant takeaway from this endeavour would be large-scale system upgrading. Some may consider it utopian, as an automated workplace may not become a reality for decades.
Raise the responsibilities of trainers, explainers, and sustainers:
People will be needed to train and maintain AI as it continues to eliminate jobs. Artificial intelligence is based on algorithms trained to do specific tasks. When a chatbot detects sarcasm in your remarks, it has data from thousands of humans saying the words in different tones. For example, NLP and voice processing techniques require human input for various conversational situations, and this feature is too dynamic to render individuals redundant as trainers. Furthermore, new job categories such as explainers and sustainers will emerge as an interface between AI-enabled technology and business executives.
Read More: Metaverse: How Does It Work?