How artificial intelligence is reshaping the transition from university to the job market

For students currently at university or those who have recently graduated, artificial intelligence introduces a new dimension to the journey from academic education to entering the professional world. This technology is already integrated into various fields, ranging from marketing and finance to programming, customer service, and content creation.

New demands for career starters

Traditionally, entering the job market required a degree, prior experience, and specific knowledge in a chosen field. With the expansion of AI, a fourth element has emerged: the ability to operate tools that can automate or streamline professional tasks.

This doesn’t mean students should abandon their education to focus solely on technical skills. The World Economic Forum’s Future of Jobs 2025 report predicts that 39% of essential worker skills will need to change by 2030. Among the skills expected to grow most significantly are AI and big data, technological literacy, analytical thinking, and creative thinking.

For instance, a business student who understands AI can analyze information, automate routine tasks, and use generative tools to support research. For a communications professional, it might involve content creation, data analysis, and AI-assisted editing.

This pattern holds true across other professions: while the tools evolve, the specific knowledge of a field remains essential.

The curriculum must go beyond the degree

One key change for those seeking their first job is the need to demonstrate how their knowledge can be applied in practice.

In this context, academic projects, scientific research, internships, freelance work, and experience with digital tools help build concrete evidence of the skills listed on a resume.

Instead of simply claiming they know how to use artificial intelligence, a candidate can showcase real experience, such as creating a data analysis workflow, automating a task, or developing an academic project using AI tools.

This also helps recruiters distinguish between declared knowledge and practical application.

Recommended skills to develop

• AI literacy: Understand the basic concepts, limitations, and uses of the technology.
• Analytical thinking: Interpret information and evaluate results produced by tools.
• Critical thinking: Identify errors, inconsistencies, and inadequate responses.
• Communication: Transform complex information into clear messages.
• Domain knowledge: Deeply understand the sector or profession where AI will be applied.

The Organisation for Economic Co-operation and Development (OECD) has also identified a demand for skills related to communication, problem-solving, creativity, and teamwork in occupations linked to artificial intelligence.

How students can prepare

There’s no need to wait until graduation to start integrating AI into professional training. A practical strategy is to observe the most common activities in the chosen profession and identify where the technology is already being used.

A law student can research how AI tools are used in document research and analysis. A human resources professional can study applications in screening and information analysis. A marketing professional can test tools for research, analysis, and content creation.

The goal is to build an applied skill set, not just accumulate certificates.

It’s also crucial to learn how to verify the results produced by AI. Generative models can present incorrect information or create seemingly convincing answers without adequate basis. Therefore, knowing how to formulate a request is only part of the process. Evaluating the response remains a human responsibility.

Does a degree lose value with AI?

Available data does not suggest that university education is being replaced by artificial intelligence. What is changing is the relationship between a degree, knowledge, and the skills required by companies.

The World Economic Forum projects growth in both roles directly linked to technology and in sectors such as healthcare, education, logistics, and agriculture. The report estimates 170 million new jobs and 92 million jobs displaced by various market transformations by 2030, based on a global projection of employer expectations.

For those entering the job market, this underscores the importance of combining academic education with continuous learning. A degree can provide the conceptual foundation of a profession, while practical experience and mastery of new tools help connect that knowledge to job requirements.

Practical steps before graduation

1. Identify the main tasks of the desired profession and determine which ones already use AI.
2. Learn tools relevant to these activities.
3. Create projects that demonstrate the application of knowledge.
4. Document results and lessons learned to present during selection processes.
5. Develop skills that complement automation, such as analysis, communication, and decision-making.

In this context, artificial intelligence becomes part of professional preparation even before the first job. For students and recent graduates, understanding this shift can help transform a degree into a foundation for developing technical knowledge, practical experience, and adaptability.