Every groundbreaking innovation inevitably attracts genuine concerns and biased scepticism. The recent emergence of artificial intelligence (AI) is no exception. Undoubtedly, AI is reshaping various aspects of our lives, revolutionising industries, repositioning the labour market and introducing some real and perceived challenges.

The permanence of AI makes it necessary to examine the opportunities and challenges it presents to the labour market.

Notable among the opportunities AI presents to the labour market is work transformation: AI systems can serve as co-pilots at workplaces, assisting humans with a range of functions such as decision-making, analysing data in large quantities, and providing insights that humans may not have discovered.

AI systems can easily handle repetitive tasks, thus freeing up space for workers to focus on more complex and creative aspects of their jobs. All these will lead to enhanced productivity and innovation.

In addition, the emergence of AI means new job opportunities. As AI technology evolves, new roles and skill requirements emerge. Jobs related to AI development, data analysis, AI system maintenance and human-AI collaboration are likely to be in demand.

The extent of employment opportunities will also depend on various factors, such as the pace of AI development, industry adaptability, and the ability of workers to acquire and apply new skills.

As demand for these AI-powered skills arises, workers will be compelled to update their skills to remain relevant to their organisations. Likewise, as industries become more efficient and competitive through AI adoption, opportunities for skill advancement will arise in complementary sectors. In a world where AI handles more mundane tasks, critical thinking, problem-solving, creativity, emotional intelligence and ethical decision-making skills will become highly demanded in the labour market.

While AI has proven beneficial, many fear it will result in the displacement of jobs. While technology has been known to create employment for decades, AI happens to be a more complex innovation that can potentially lead to the displacement of certain job roles.

Many companies may consider replacing humans with AI on tasks that can easily be automated and have proven faster and more cost-effective with AI. AI systems may take over tasks like customer service, data entry or routine manual labour, causing a massive decline in employment opportunities and uncertainty for workers in those categories.

Moreover, statistics have shown that the human mind can be easily addicted to comfort, which may potentially lead to laziness or dependence. AI systems can become easily trusted and reliable to the point where humans may excessively depend on them. Without a well-spelt contingency plan against AI-dependency and potential vulnerabilities, we might see humans decline in their mental outputs in the coming future.

Not only that, there are concerns about the socio-economic implications of AI. Disruptions in the job market can affect specific industries, regions, and people, especially those who become idle because of their inability to take on new skills.

This could lead to social and economic disparities. Also, if necessary precautions are not taken, individuals’ data can be compromised and manipulated by anyone to the economic advantage of certain groups while putting the owners of such data at great risk.

As AI technologies continue to evolve, humans must properly position themselves to make the most of them. Employers, educational institutions and corporate organisations should not only be committed to job creation in emerging AI-related sectors but also play a strategic role in equipping workers with the necessary skills to thrive in an AI-driven future. Employees should also be willing to learn, engage, upskill and adapt to the changing demands AI has brought into the labour market.

In conclusion, addressing AI’s challenges is important to ensure a balance between technological advancement and societal stability. Organisations must prioritise inclusive strategies that ensure that AI benefits are evenly distributed in a way that minimises the disadvantages.

Antoinette Onyekwelu is an analyst at SBM Intelligence