Artificial Intelligence and the labour market: What tomorrow holds for us

With the emergence of artificial intelligence in the labour market, there is a fear that many jobs will be replaced by machines and algorithms. History knows similar examples - the industrialisation of the 20th century caused fears of mass unemployment among agricultural and industrial workers. However, instead of the disappearance of professions, there was a transition to new types of employment, less labour-intensive and safer.

Today, this scenario is being repeated. Repetitive and boring tasks that require minimal human involvement are becoming an area where AI shows maximum efficiency. For example, data collection, basic analytics and many administrative functions can be outsourced to algorithms. However, the skills built up by employees, especially knowledge of a company's internal processes, continue to be valuable to the business. Finding new employees and training them is far more expensive for companies than adapting current staff to change.

Occupations beyond the control of artificial intelligence

Not all jobs will be replaced by machines, even in the long term. Some professions require a high degree of intuition, empathy and human interaction. For example:

• Human Resource Managers: An intuitive understanding of human psychology makes this role indispensable;
• Sales Directors: The ability to build warm and trusting relationships with customers is difficult to transfer to an algorithm;
• Creative professionals: The work of designers, copywriters and programmers requires flexibility and creativity not available to AI.

In addition, business management, strategic planning, and making complex decisions related to a company's long-term goals remain the domain of humans. Even as technology advances, these professions require expertise that algorithms cannot yet replicate.

Many existing professions are much more difficult, if not impossible, to entrust to robots. In business, for example, the work of an HR manager or sales director requires great intuition and knowledge of psychology and human relations. Entrusting such a job to an algorithm will lead to cold or overly technical relationships with customers and/or other employees in the company. Moreover, it is hard to imagine a computer doing the work of a graphic designer, copywriter, or programmer now or in the foreseeable future.

Professions of the future: What are they?

AI is not only replacing existing jobs, it's creating entirely new ones. Companies already need specialists who can effectively develop, maintain, and interpret complex algorithms. The following areas are emerging:

• Data Analysts: They interpret vast amounts of data to help companies make strategic decisions;
• Data management and AI experts: These specialists work with predictive algorithms to improve their accuracy and adaptability;
• Next-generation digital marketers: They track human behaviour on social media and adapt strategies to engage with audiences.

In addition, changes are coming to the education sector. Courses and trainings are going digital, requiring content updates and the use of new platforms. Instructors are becoming guides for learners, helping them adapt to the changing learning environment.

Even if these considerations are somewhat speculative, it is easy to conclude that developing, maintaining, and effectively utilising AI information technologies will require new and specific skills from the workforce of tomorrow. Traditional management and development methods will not be up to the task of utilising the phenomenal amount of data being processed, which must be interpreted by new analytical or predictive algorithms. Therefore, we will have to come up with other profitable ways to sort through the information and shape it to fit each company's specific goals in order to capitalise on today's platforms.

The Age of AI: How to prepare and not get left behind?

The transition to automated processes requires adaptation. For workers and companies, this means the need to constantly learn and innovate. To stay relevant in a game-changing AI environment, it's important to:

• Learn new skills: Professionals must develop competences related to data management and digitalisation;
• Adapt to hybrid formats: Online courses and trainings are becoming the standard;
• Develop emotional intelligence: The ability to interact with people will remain a competitive advantage.

Companies must also rethink their approaches. Investing in retraining employees and implementing AI as an assistant rather than a replacement for humans will create a balanced work environment where technology complements human abilities.

Training also has an important role to play. Traditional courses run on a set schedule in designated rooms are increasingly moving online and content is being updated more frequently. Instructors will be increasingly needed to support learners who may be intimidated by this new way of working.

Conclusion: Artificial intelligence and the labour market

Artificial intelligence will change the labour market, but it will not destroy it. Instead, it will open up new opportunities by creating jobs that require modern skills and flexible thinking. While repetitive tasks will be automated, the human element will remain key in professions involving creativity, strategy and management. The future lies with those who are willing to learn, adapt and use AI as a tool rather than a threat. In this transformation, it is important to see not only the challenges but also the huge potential for professional growth.

Even if these considerations are somewhat speculative, it is easy to conclude that developing, maintaining and effectively utilising AI information technologies will require new and specific skills from the workforce of tomorrow. Traditional management and development methods will not cope with the task of utilising the phenomenal amount of processed data that must be interpreted by new analytical or predictive algorithms.