How AI is Changing the Future of Work: What Jobs Will Be in Demand?
Artificial intelligence (AI) has been revolutionizing many industries since its existence. Due to the increased demand for using AI, many professionals are worried about whether they might get replaced by AI. However, wisely using AI will help reduce a professional’s workload without replacing them. The purpose of this article is to provide insights into AI jobs in demand and how to use AI wisely to effectively navigate the workload in an organization.
The Dual Impact of AI on Employment
AI has a dual impact on employment, creating and displacing a job in almost all industries.
Job Displacement:
Since AI skills are preferred to carry out certain repetitive tasks, they might replace humans in certain fields, including clerks, administration, and some physical labor in the manufacturing industry. We can already see AI chatbots replying to customers in customer chat support and robotic arms handling the machine line operations that are far more efficient than humans. There is a possibility that AI might mostly replace the heavy jobs that humans carry out.
Job Creation:
While there is a worry about AI replacing humans in certain jobs, there is an equal rise in artificial intelligence jobs that open a whole new lane for humans to work on. These jobs revolve around machine learning, training an AI tool, developing AI tools, and data science. In these sorts of jobs, there will always be AI career opportunities available since humans need to always manage these systems and ensure the job is done with quality. This leads to the creation of new jobs, including AI specialists, data scientists, AI programmers, AI trainers, and machine learning engineers.
Exploring Emerging Roles in an AI-Driven Job Market
AI Engineer: An AI engineer is responsible for creating AI systems and making them work like humans. The AI must talk, think, and respond like humans. AI engineers achieve this by providing the proper neural networks, creating and optimizing algorithms, and implementing relevant solutions.
Machine Learning Engineer: A machine learning engineer is responsible for creating large data sets that create predictive models, which help AI become specialized. This process helps AI learn from the data sets provided by the machine learning engineer. To achieve this, the ML engineer uses frameworks like TensorFlow and PyTorch.
Data Scientist: Data scientists are the ones who help the AI to learn how to make a decision based on certain situations. They feed and train AI with scenarios and analyses that can help them interpret even complex data and get meaningful insights. This has great potential to be used in businesses and product development. Machine learning algorithms can also help AI filter out particular trends and aid in creating relevant products as per the needs of a customer.
Robotics Engineer: The robotics engineer is responsible for the toughest job, making AI do activities without human assistance. Their job is to provide AI with improved vision, making decisions on its own, and adaptability. Certain restaurants are using these robots as waiters; there has been an inclusion in manufacturing and healthcare industries, etc. In these organizations, robots are used to monitor inventories and even to aid surgeries.
The Rise of Hybrid Roles and Skill Sets
Hybrid roles are a combination of AI’s technical proficiency along with humans’ ability to think. These skill sets might aid in different sectors as follows:
- AI Project Manager: AI project managers are responsible for using AI in their projects and ensuring the project is delivered within the deadline and with top quality. By integrating AI into their projects, the manager can reduce the budget by half. The manager is also responsible for effectively managing the entire project, ensuring there is no room for errors while implementing AI, and finally enabling proper communication within the team and ensuring the entire team is aligned.
- AI Ethics Consultant: An AI ethics consultant works to align AI systems with ethics and responsibilities. This includes privacy, security, prejudice, and influence on society. The AI system has to be immune enough not to be manipulated by misinformation on the internet. It must also act according to certain legal factors and regulations of a particular country. AI systems can also assist in auditing, reducing enterprise risks, and, most importantly, increasing trust.
- Data-Driven Marketing Specialist: The data-driven marketing specialist is responsible for examining enormous databases and learning about customer behavior and market trends. By doing so, the specialist can analyze future market conditions and implement strategies to market their product successfully while focusing on the target audience.
Preparing for the AI-Influenced Job Market
To prepare for the AI-influenced job market, an individual must follow certain strategies that involve networking, education, and skill development.
- Educational Pathways: Education is the basic and most risk-free path to obtaining an AI-influenced job. The individual must obtain degrees related to machine learning, robotics, data science, and other courses that provide knowledge on artificial intelligence. Some subjects that are related to AI are logistics and machine learning. Universities like IBM and Stanford are offering courses like “IBM AI Engineering” and “Introduction to Artificial Intelligence (AI). These courses are available on online platforms like Coursera.
- Skill Development: Practical knowledge is also essential and a great way to obtain an AI-related job. Multiple free and paid internships are available for individuals to learn about and experiment with AI projects. These might not provide a high sum, but individuals can learn about the field of artificial intelligence.
- Networking: Networking is another method to be followed for getting into the field of artificial intelligence. Making powerful connections in social media, blog sites, and social platforms like Medium, GitHub, and Quora can help an individual learn about AI in-depth. They can also learn about the current market condition of AI, how AI works, and the recent updates in the field of artificial intelligence. Doing so lets the individual decide which job to become an AI expert.
Conclusion
There is a rising demand for AI in almost every field these days. AI will not replace humans, but someone who knows how to use AI efficiently will. To survive in any industry, it is safe for an individual to have professional knowledge of artificial intelligence. The future is bright for those who learn and implement AI strategies in various industries.