Automation and AI in the labor market: Opportunities and challenges for employees and leaders.

How are artificial intelligence and automation shaping the labor market? Are you ready for change? Learn about opportunities, challenges and key skills in 2025.

15 minutes

AI Blog
Artificial intelligence and automation are changing the labor market faster than we expected. Soon many professions will look different, and some may disappear. Should employees fear AI, or should they view it as an opportunity for growth? What skills are becoming crucial? Let's look at the trends that will define the future.

In the context of these dynamic changes, it is natural that questions about the role of human beings in professional processes are increasingly being raised. While we appreciate the value of personal contact, we cannot ignore the transformative power that new technologies bring. Just look at one of Adecco's recent reports.

More and more candidates appreciate the importance of interpersonal relationships in recruitment. According to the results of our "Global Workforce of the Future" report, as many as 76% have a positive view of (human) recruiters who see more than just qualifications – they can see their potential as well.

In a world where technology is playing an increasingly important role, human instinct and experience remain invaluable. It's a bit like a cup of good coffee, which is always waiting for you in our offices. It will be brewed by a modern espresso machine, but... it is best enjoyed in pleasant company.

Automation and AI – what are they and how do they affect the labor market?

In last year's University of Warsaw competition, "artificial intelligence" was chosen the word of the year. The choice seems quite apt, as there is no doubt that AI is increasingly shaping our ecosystem. It could also shape professional reality, but...

Although it saves an average of 60 minutes a day, as our report indicates, only 25% of employees have received adequate training to take full advantage of it. Adecco experts unanimously emphasize:

"AI is the future, but we still need people who are setting the right direction for it!"

That's why we support companies and candidates in finding a balance between modern technology and a personalized approach from a human perspective.

The labor market is undergoing an unprecedented transformation, driven by the rapid development of technology. Artificial intelligence, machine learning and robotization are revolutionizing the way we work, opening up new opportunities but also posing serious challenges. In 2025, these changes will be even more pronounced, affecting every aspect of our working lives. 

Employees ready for change. Are the leaders keeping up?

Companies have been investing in technologies that increase efficiency and reduce costs for some time now. However, this is not enough. In order to remain competitive, they must also take care of employee development. Why? Because as many as 71% of employees say they are ready to change career paths. This is the finding of Adecco's latest "Business Leaders Research 2025" study. Unfortunately, only 46% of leaders actually recognize this and include the possibility of crew reskilling in their strategies.

REGISTER and DOWNLOAD THE STUDY: Business Leaders Research 2025

This significant discrepancy can have a real impact on companies' competitiveness. Here are three key reasons to invest in internal development and a flexible approach to change.

Internal development

When employees see a further path for themselves within the company's structures, they are more willing to take on new challenges. Greater engagement translates into lower turnover, which means real savings on recruitment processes and faster adaptation to change.

Retraining

In an era of rapid advances in technology – especially artificial intelligence – many jobs are being transformed. Instead of looking outside for new competencies, companies can prepare for these changes by developing the potential they already have inside the organization.

Flexibility

Change is inevitable, but its impact can be mitigated. Openness to the support of external experts, the use of outsourcing and the creation of flexible structures allow us to respond faster and more effectively.

AI in the physical sector – real benefits

1. Support in repetitive and tedious tasks

In logistics, manufacturing or warehousing, AI is already supporting blue-collar workers through vision systems and sensors that automatically identify errors, measure parameters and even conduct quality monitoring. As a result, the employee does not have to perform these tasks manually, which reduces work time and the risk of mistakes.

2. Process optimization

Artificial intelligence algorithms can analyze data from machines and equipment in real time. Technical staff and machine operators receive precise information about energy consumption, production line efficiency or impending breakdowns – before they happen. This not only increases work safety, but also avoids downtime.

3. Personalized training and development

By analyzing work performance and style, AI can support the creation of individual development paths – even for blue-collar workers. With concrete data, employers can better tailor training and offer retraining based on the employee's real needs and potential.

4. Ergonomics and safety

Intelligent systems increasingly support the ergonomics of workstations: they analyze employee movements, detect overloading, monitor temperature, humidity or air quality. This allows early detection of abnormalities that could lead to occupational injuries or diseases.

Key skills in 2025: Invest in development!

How to take care of your career in 2025? What matters today is adaptability, creativity and the ability to work with technology. Work experience alone may not be enough. Employers are increasingly looking for people who can combine practical knowledge with the ability to adapt to new technologies and work models.

It's no longer just about knowledge of specific tools, but about attitude – openness to change, willingness to learn and ability to work with modern systems. Both blue-collar and office workers will need to expand their competencies to find their way in an environment supported by AI and automation.

However, it is worth remembering that professional development does not have to mean a radical change in career path. Sometimes all you need is to supplement your knowledge, receive training in a particular area or acquire new work habits. Below we have collected key skills that are already worth developing.

Key skills for blue collar workers:

1. Ability to operate modern machines and systems
New technologies require a basic knowledge of digital devices, sensors, control panels or applications to support production and logistics.

2. Collaboration with AI and automation systems
Increasingly, an employee is not working alone, but alongside an intelligent system – it is useful to know how to interact with it effectively without losing control of the process.

3. Work safety in an automated environment
Knowledge of health and safety rules is essential, but in the age of robotization, this is augmented by the ability to work around machines and autonomous systems.

4. Flexibility to perform a variety of tasks
Multitasking and a willingness to learn new activities within a single role is a big asset today – it's not just specialization that counts, but also versatility.

5. Communication and cooperation in the team
Even the best machine operator needs to work effectively with others – be it the maintenance department or the production planning team.


Key skills for white collars:

1. Collaboration with AI and analytical tools
Understanding how algorithms work and being able to use data to make decisions is becoming increasingly important in office work.

2. Digital competence and process automation
Familiarity with automation tools (e.g., RPA, Power BI, Excel) is the basis for smooth operations in administration, HR or finance today.

3. Creativity and solving complex problems
AI will not replace thinking outside the box – the ability to find out-of-the-box solutions is still the domain of humans.

4. Ability to work remotely and manage yourself in time
Self-reliance, good organization and effective online communication are key competencies in the era of hybrid work.

5. Emotional intelligence and leadership
Leaders of the future will need to understand not only technology, but most importantly people – their needs, emotions and development potential.

How to survive and thrive in the era of technological revolution?

The technological revolution doesn't ask if you're ready – it simply arrives. The key to success is not to avoid change, but to actively shape your own development path. Employees who focus on flexibility and continuous learning today will gain an advantage in a dynamic market.

"Instead of seeing AI as a threat, treat it as a partner that relieves you of routine tasks, giving you space for creative activities."

More examples? Here you go:

  1. Administrative staff using chatbots for customer service gain time to develop optimization projects. Also, remember to build your network – relationships with people in different industries will help you catch trends and find niches where your unique skills will be in demand.
  2. Warehouse operators using intelligent inventory management systems can focus on quality supervision instead of manually counting goods.
  3. Assemblers supported by augmented reality (AR) – such as goggles that display assembly instructions – reduce errors and training time.
  4. Truck drivers using AI that plans optimal routes reduce fuel consumption and stress from delays.
  5. Even in construction, collaborative robots (cobots) assist in moving heavy materials, reducing the risk of injury.

The key is to be open to new tools and improve digital competence – such as operating applications for monitoring machines or analyzing sensor data.

And most importantly, remember that while artificial intelligence is rapidly analyzing data and automating processes, human soft skills are still and will be the main determinant of employee value in 2025. Machines will not replace empathy, intuition or the ability to solve complex social problems.


Key soft skills of the future:

● Emotional intelligence – understanding the needs of the team, customers and your own reactions.

● Creative thinking – generating solutions beyond the schemes and even beyond the capabilities of algorithms.

● Adaptive leadership – inspiring others under conditions of uncertainty.

● Negotiation and persuasion – persuasion in a world where data is available to all.

● Ethical evaluation – making decisions that take into account the social and moral consequences of AI.

● Working in a multicultural environment – managing differences in global teams.

● Time and priority management – selecting tasks that are not worth automating.

● Digital empathy – building authentic relationships through screens.

Summary:

Artificial intelligence and automation are not a black scenario – they are an opportunity to free human potential from repetitive tasks. However, the key to success is conscious change management.

Employees who invest today in developing the competencies of the future – both technical (e.g., AI basics, data analytics) and soft (empathy, ethics) – will build an unsinkable position in the market. In turn, companies need to bet on a culture of continuous learning, creating an environment where technology does not compete with humans, but supports them.

It is worth remembering that:

The greatest value in the age of algorithms will remain in... ourselves! It is people who give the technology a purpose, interpret the data and ensure that progress does not cross the boundaries of ethics. Paradoxically, the more tasks machines take over, the more employers will value employees who can combine technological proficiency with human sensitivity.

"As the example of companies working with Adecco shows, the future belongs to organizations that combine technological innovation with human resources – automation is used for optimization, and leaders are able to listen to both the machines and the emotions of their team."

How about you? Are you ready to be part of this transformation? It's time to act – the future won't wait!