AI alone is not enough. Corporate competitiveness depends on management competencies.

Companies across industries are facing the same pressure: to increase efficiency, accelerate decision-making, and respond to the growing volume of data and rapid technological development. Artificial intelligence, automation, and data analytics are no longer relevant only to technology companies. They are becoming part of financial management, operations, HR, sales, and strategic management.

Yet many organizations are discovering that investing in technology alone does not bring the expected change. Companies purchase modern tools, implement AI solutions, or build data platforms, but their real use often remains limited. The technology is available, but the ability to integrate it effectively into everyday decision-making and company management is often missing.

This is where the difference between digitalization and true transformation becomes increasingly clear. Digitalization means acquiring tools. Transformation means changing the way people work, manage, and make decisions. And that depends primarily on people.

A paradoxical situation is emerging in many companies today. Organizations invest in data teams, dashboards, or AI applications, but management often lacks sufficient competencies to interpret data or use technology strategically.

The result is a set of recurring problems. Decision-making still relies more on intuition than on data. AI projects end at the pilot stage without a clear business impact. IT departments and business teams operate separately and lack a common language. External suppliers replace know-how that companies should be developing internally.

This issue does not concern only technical roles. The ability to understand data and the principles of AI is gradually becoming a core management competency. A CFO does not need to program algorithms, but they do need to understand how data affects financial management, forecasting, risk management, and process efficiency. Similarly, a CEO needs to understand where AI can create a real competitive advantage and where it is merely technological hype.

Company experience also shows that the greatest obstacle to implementing new technologies is not software, but people’s ability to adapt and management’s ability to lead change.

Just a few years ago, corporate education was often seen as an HR agenda or an employee benefit. Today, it is increasingly becoming part of strategic company management. Just as organizations invest in infrastructure or innovation, they must also invest in developing competencies.

The key question is no longer whether to educate employees, but how quickly a company can build new competencies and transfer them into practice. This is precisely why educational models that connect management, data, and the practical use of AI in business are becoming increasingly important.

One example is the MBA programme focused on Data & AI Driven Management offered by Unicorn University. The programme does not focus solely on management theory, but primarily on working with data, strategic decision-making, and the use of AI in company management. The purpose of such education is not to create technical specialists, but managers capable of leading organizations effectively in a data-driven environment.

For companies, what matters most is that programmes of this kind connect business and technology. Managers gain a better understanding of what IT teams can deliver, are able to define expectations more precisely, and can evaluate the real value of technology investments more effectively.

Alongside longer-term programmes, shorter and more targeted forms of education are also becoming increasingly important. So-called micro-credentials enable rapid upskilling. Companies can therefore respond flexibly to new market demands without the need for several years of study. Typical examples include developing competencies in data analytics, AI governance, working with digital tools, or cybersecurity.

“The main advantage of micro-credentials is their focus on specific practical application. Participants gain knowledge and methods that they can immediately apply in their company, without having to study unnecessarily broad theory. Our educational programmes reflect current trends, business needs, and legislative changes,” explains Prof. Ing. Jan Čadil, Ph.D., Rector of Unicorn University.

Tailor-made corporate education also plays an important role. Every organization operates at a different level of digitalization and has different processes and a different corporate culture. Universal training therefore often fails to deliver the expected effect.

“Effective education must be based on the specific needs of the company. A finance department needs different competencies than a sales team, and the management of a manufacturing company needs something different again. It is precisely the connection between education and real corporate processes that determines whether the investment is truly reflected in organizational performance. At Unicorn University, we therefore offer training designed precisely according to a company’s needs,” says Čadil.

From the perspective of financial management, return on investment is key. In the case of education, the challenge is often that its benefits are difficult to measure in the short term. Nevertheless, there are areas where the impact is very specific.

Companies with a higher level of data literacy among management usually achieve faster and more accurate decision-making. They work better with forecasting, manage costs more effectively, and identify operational inefficiencies more quickly. The ability to use data in real time is also becoming a significant competitive advantage.

The impact on working with external suppliers is similarly important. Organizations that have internal competencies in data and AI are better able to assess the quality of deliveries, reduce dependence on outsourcing, and manage technology projects more effectively.

The importance of education is also growing in connection with regulatory requirements and the pressure for transparency in AI systems. Management will increasingly need not only technological tools, but also the ability to understand their impacts, risks, and responsible use.

Companies today are dealing with high costs, pressure on productivity, and an uncertain economic outlook. In precisely this kind of environment, however, the development of competencies is one of the key prerequisites for long-term stability. Technology alone does not generate competitive advantage. What matters is people’s ability to use it correctly, connect it with business, and turn it into more effective company management.

Education is therefore no longer just an addition to a company’s growth strategy. It is becoming an essential part of it. Organizations that are able to systematically develop competencies in data, AI, and management will be much better positioned to handle market changes and future technological development.

Note: Article published in CFO Trends, June 2026.