New competencies on the market: how to prepare your team to work with AI agents

Learn how to prepare your team to effectively collaborate with AI agents. An overview of key competencies, new roles, and practical HR strategies for the era of artificial intelligence.

Competencies to cooperate with AI

The era of human-machine cooperation in business

Companies are increasingly investing in intelligent systems that autonomously perform tasks, learn from experience, and interact with employees at a level previously unattainable. This development requires redefinition of competences, creating new roles and a fundamental change in the approach to team management.

The Most In-Demand Skills in the AI Era

Next-generation technical competencies

The Polish job market clearly rewards specialists who can effectively collaborate with AI systems. Skills related to prompt engineering – the art of creating and optimizing queries for language models, which allows for maximum utilization of AI's potential. Experts indicate that this specialization accounted for up to 19% of new job offers in the AI field over the past year. Dedicated courses are even being developed for Engineers Prompt, which shows the growing demand for this skill.

“4K” Competencies – the foundation of cooperation with AI

The skills that become crucial are those defined as: "4K": critical thinking, communication, cooperation (collaboration) and creativity. Research shows that these are the capabilities that differentiate teams that effectively collaborate with AI from those that only superficially utilize the technology. While AI takes over routine analyses, it does not replace human judgment, empathy in communication, and the ability to build complex relationships. Moreover, only 3% of Polish companies believe that AI could completely replace all human skills – employers point to team management, strategic thinking, and complex problem-solving, among others, as competencies beyond the reach of AI.

Managing AI agents and multi-agent systems

New positions such as AI Business Partner, AI Agent Coordinator AI Infrastructure Specialist, require the ability to manage hybrid teams, where AI agents act as digital workers performing specific tasks. Such collaboration requires knowledge of how agents communicate with each other, how they divide resources and how negotiate prioritiesThe ability to coordinate the work of multiple AI agents simultaneously, as well as integrate their activities with the work of humans, is becoming a valuable new managerial skill.

Competencies for working with AI. Useful certifications and training.

Industry-recognized certificates

The most valued are AI/ML certificates Offered by renowned technological and educational institutions, they certify theoretical knowledge and practical skills in the field of artificial intelligence. The most popular include:

Machine Learning Specialist (Coursera) – ML basics, algorithms and practical applications
AI Engineer Professional Certificate (edX) – implementation of AI models, data analysis
Azure AI Fundamentals (Microsoft) – Introduction to Artificial Intelligence in the Azure Cloud
Google Cloud Professional Machine Learning Engineer – designing and implementing ML solutions in the Google cloud
Business Programme AI 2025 – a certified program for business, increasing the value of specialists on the labor market

Possession of such certificates is increasingly becoming a distinguishing feature in candidates' CVs and is sometimes mentioned in job advertisements.

Specialized training for teams

They are becoming more and more popular practical training tailored to specific business needs. For example, courses "AI in HR", "Team management using AI" "Using AI in Team Management" They combine essential theory with workshops on AI tools and analysis of real-world business cases. Such training helps employees become familiar with new technology and teaches them how to effectively use AI in their department's daily work.

Changes in the labor market – new roles and challenges

Emerging job positions

The analysis of recruitment offers shows a dynamic increase in demand for new AI rolesPositions that didn't exist a few years ago are emerging, and now they're sought after and well-paid:

AI Architect – average salary up to PLN 40 gross per month
MLOps Engineer i GenAI Engineer – approx. PLN 23–000 gross
a Data Scientist – approx. PLN 21–000
NLP Engineer – approx. PLN 20–000
Prompt Engineer – a new, rapidly developing specialization at the intersection of programming and computational linguistics

The salaries in these positions reflect a shortage of specialists with the appropriate skills. Companies are competing for talent with AI experience, offering salaries well above the IT industry average.

Transformation of traditional professions

The development of AI not only influences the creation of new roles, but also transforms traditional professionsNASK and ILO research indicates that 30,3% of jobs in Poland (over 5 million positions) are susceptible to automation by AI to some extent. However, this does not mean mass job losses – rather, a necessity. re-industryor supplement qualifications in many professions. Moreover, only 3% of Polish companies believe that AI could completely replace all human skills – competencies beyond the reach of AI, according to employers, include team management, strategic thinking, and solving complex problems. In practice, this means that most positions will be evolution: some tasks will be automated and people will focus on those aspects of work that require creativity, empathy and strategic thinking.

Practical advice for HR departments

Strategies for implementing AI in HR processes

For HR to effectively utilize the capabilities of artificial intelligence, it is worth adopting a proven, step-by-step implementation strategy:

Starting by automating routine tasks – to begin with, it is worth using AI to relieve employees of repetitive tasks, such as filtering CVs, arranging recruitment meetings or basic communication with candidates.
Building prompt engineering competencies in the HR team – the ability to create effective queries for AI tools (e.g. recruitment chatbots) allows for better use of their potential and improves human-machine communication.
Using AI to analyze employee data – Algorithms can predict staffing needs, identify talent requiring support, and optimize employee retention efforts. This allows HR decisions to be more informed. proactive and based on hard data.
Personalization of employee development paths – AI supports the creation of individual career development plans by recommending training and next career steps tailored to a given individual's competencies and potential. This approach increases employee engagement and the effectiveness of development programs.

Managing change and building culture AI-ready

Introducing AI tools into organizations requires conscious change management and building a culture that embraces new technologies. It's crucial to prepare teams for collaboration with AI by:

Regular training all AI staff (so-called AI literacy) so that everyone understands the basics of operation and capabilities of intelligent systems.
Creating a safe environment for experimentation with AI tools, in which making mistakes is treated as part of learning.
Building awareness of ethical aspects use of AI – discussing with employees issues such as algorithmic bias, data privacy and responsibility for decisions made by AI.
Phased implementation – starting with pilot projects, collecting feedback from users, and only then scaling successful solutions to the entire organization.

Thanks to such activities, employees feel part of the changes, not their victims, which increases acceptance of new tools and working methods.

Competencies for working with AI: AI compliance and ethics

In the light AI Act regulations, which will come into force in the European Union from August 2025, HR departments must prepare for new obligations related to the use of AI in recruitment and personnel management. The regulations will require employers, among other things, to thoroughly audit the AI systems used, ensure transparency of algorithms (e.g. explainability of decisions made by AI) and monitoring potential risks of discriminationIn practice, it's worth consulting with new technology law specialists now or establishing an internal AI ethics and compliance team to ensure compliance with upcoming regulations.

Competencies for Collaboration with AI: The Future of Human-AI Collaboration

Robot and humans as job candidates, competences for cooperation with AI

Experts agree: the future belongs to thosewho not only know how to use AI, but also how to create it. Furthermore, they can deploy and manage teams consisting of both humans and autonomous AI agents. Companies that invest in the development of such competencies today are gaining competitive advantageIn a few years, competitors may not be able to close the gap.

Success will be achieved hybridsym approachm, i.e. combining ready-made SaaS tools with tailor-made solutions, adapted to the specificity of the organization, while taking care of the development soft skills and strategic thinking among employees. It is this combination AI technical competences with uniquely human qualities such as creativity, empathy and leadership will stand out the most effective teams of the future.

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