Artificial intelligence is significantly transforming the job market. While some jobs may become obsolete, new roles will emerge that require skills in working with AI systems, data analysis and decision-making.

AI technologies are automating repetitive and mundane tasks, allowing employees to focus on more complex and creative work, which can lead to increased efficiency and productivity in many industries. AI is also changing how businesses operate and organizations function, impacting various industries, including coding, marketing, legal, healthcare administration and more.

Job seekers will need to acquire these skills to remain competitive in the job market. However, there are concerns about job displacement and the need to retrain workers. Some experts predict that AI could eliminate a significant number of jobs, requiring individuals to learn new skills to adapt to the changing job market.

The rise of artificial intelligence jobs is increasing the demand for skills related to AI development, data analysis, machine learning and automation. Job seekers will need to acquire these skills to remain competitive in the job market.

How industries are being transformed by artificial intelligence

Jobs that are routine, repetitive and predictable are the most susceptible to reductions due to AI-driven automation. In the manufacturing and production sectors, assembly line workers, quality assurance inspectors and basic machine operators might see a decrease in demand. The transportation and logistics sectors could witness reductions in roles such as taxi and truck drivers, especially if autonomous vehicles become more common. Additionally, warehouse workers and cargo sorters might be impacted by robotic automation.

Office and administrative roles, such as data entry clerks, basic bookkeepers, receptionists and staff who compile routine reports are also vulnerable to automation. In sales and customer service, jobs such as telemarketers and cashiers might decline due to automated systems, and basic customer support roles could be impacted as chatbots and automated systems handle a significant portion of inquiries.

In agriculture, some types of farmworkers might see a decline in demand as automation technologies handle tasks such as planting and harvesting. The banking and finance sectors might see a reduction in roles such as basic financial analysts and loan officers as AI tools become adept at analyzing statistical data and assessing creditworthiness. In real estate, basic property appraisers might be affected since AI can analyze market data to make valuations.

The healthcare sector could see some AI impact as well, particularly for roles like radiologists, where AI can assist in identifying patterns in imaging data, though human judgment remains crucial. In the media and entertainment industries, jobs centered around basic content or article generation, especially those for financial or sports recaps, could be automated. The legal profession might experience reductions in positions for paralegals and junior associates doing routine document review, as AI can efficiently scan and evaluate legal documents. Lastly, in construction, certain tasks, especially those that are repetitive, might be automated, leading to fewer jobs in those areas.

While certain roles within these sectors might be reduced due to automation, new ones might emerge or become more valuable. The extent and timeline of these changes will vary by country, region and industry based on various factors.

How industries are being transformed by artificial intelligence

The rise of AI is expected to create numerous job categories and enhance existing roles, emphasizing the importance of human-machine collaboration. Here’s a look at the types of jobs and roles that are likely to see growth due to AI:

AI development and maintenance: Machine learning engineers, who design and implement machine learning applications; AI researchers, who push the boundaries of what AI can achieve; data scientists, who extract insights from complex and unstructured data; data labelers and annotators, who prepare data for AI training; and AI hardware specialists, who develop AI computation.

Human-AI collaboration: One employment growth area will be robotics operators, who oversee, manage or collaborate with robots in areas like manufacturing, logistics or medical surgeries. There will also be demand for professionals who integrate human judgments into machine learning models.

Support and training: AI Trainers: People who teach AI systems how to perform, refining their accuracy. This might be in natural language processing, image recognition or other domains.

Education and academia: As interest in AI grows, so does the need for educators and curriculum planners specializing in this domain. Trainers and teachers who instruct students and professionals about AI.

Legal and ethical oversight: There will be demand for AI ethicists, who explore the moral implications of AI deployments, as well as legal consultants specializing in AI. As AI becomes more integrated into society, legal issues around data privacy, discrimination, and more will arise, needing legal expertise.

Medical data analysts: Professionals who use AI to analyze medical data, like MRI images or genomic sequences, for better patient outcomes.

AI-enhanced marketing analysts: Using AI to derive insights from market trends, customer behaviour and other data sources.

Cybersecurity analysts: Professionals who utilize AI to detect security threats or vulnerabilities.

Environmental data analysts: Using AI to analyze climate data, track endangered species, or monitor deforestation.

The advancement of AI technology is a double-edged sword, posing challenges but also offering countless opportunities. As with previous technological revolutions, the landscape will evolve, and new roles will emerge while others fade away. The key for workers and industries is adaptability and a willingness to embrace change.

How to adapt to job changes because of AI

Adjusting to job shifts brought about by AI includes personal and professional development. Here are several ways workers can navigate and adapt to the changing job landscape due to AI:

Lifelong learning: Embrace a mindset of continuous learning. The future is likely to favour those who are adaptable and willing to acquire new skills as AI in the job market evolves.

Focus on soft skills: AI is still far from replicating human emotions, creativity and complex interpersonal interactions. Skills such as emotional intelligence, leadership, critical thinking, problem-solving and creativity are expected to remain highly valuable.

Technical literacy: While not everyone needs to become an AI expert, a basic understanding of digital tools, platforms and the principles behind AI can be beneficial in many jobs.

Specialized training: Consider taking courses or certifications in areas that are emerging due to AI, such as data analysis, machine learning or AI ethics.

Diversify skills: Rather than focusing on a single niche skill, consider building a diverse skill set that makes you adaptable to multiple roles. This way, if one job area is impacted by AI, you have other avenues to explore.

Stay updated: Regularly read industry news, reports and research related to your field. Being aware of the latest trends and technological advancements can help you anticipate changes and adapt accordingly.

Flexibility: Be open to changing roles, industries or even geographical locations. Sometimes, opportunities might arise in areas you hadn’t previously considered.

Seek mentorship: Find mentors who are ahead in their careers and can offer guidance on navigating professional changes. They can provide invaluable insights based on their experiences.

Counseling and career services: Utilize career counseling services, which can help identify potential growth areas and provide resources for reskilling.

Engage with AI: Instead of seeing AI as just a threat, engage with it. Use AI tools related to your job, understand their capabilities, and think about how they can be used to enhance your work rather than replace it.

Advocacy: Engage with professional associations, unions or advocacy groups to ensure that workers’ rights and needs are considered as businesses adopt AI.

Entrepreneurial thinking: AI opens up new business opportunities. Thinking entrepreneurially might lead to the creation of new services or products that leverage AI in novel ways.

Preparing for an AI-integrated future is about a combination of upskilling, reskilling, staying informed and maintaining an adaptable mindset. While challenges are undeniable, those who are proactive in their approach to personal and professional development will be in the best position to capitalize on new opportunities.

Published on August 25, 2023.