A few sections among many
AI Economy
We keep developing – but where is the money?
When and in which industries will AI developments generate real business value? So far, startups, data centers, and developers of generative applications have been the main winners of the AI revolution. Alongside those investing in infrastructure and future technologies, more and more business leaders are asking the same question: where is the money? In which areas does AI truly provide a competitive advantage? In 2026, supply chain optimization, research and development, and the transformation of sales processes are coming into focus. One of the key questions for the coming years will be whether artificial intelligence can create sustainable business models and how we can separate hype from long-term innovation.
AI in Healthcare
From experiments to mass adoption
Will technology be able to fill the gap between the growing number of patients and the shortage of doctors and healthcare professionals? It is not an exaggeration to say that it is a matter of life and death for AI to play a larger role in healthcare. Artificial intelligence supports prevention, diagnostics and patient care while reducing the burden on healthcare workers. Faster access to medical information, automated documentation and AI-supported triage processes are already becoming essential tools. What were research projects just a few years ago are now reality: AI provides diagnoses, creates treatment plans, monitors patients and supports clinical decision-making.
AI and Work
Do we work with algorithms or for them?
The IT sector has already been affected by the rise of AI. Large tech companies have laid off thousands of employees while demand for highly skilled experts continues to grow. But who counts as well-trained today? What is AI literacy and how can we acquire it? According to the optimistic scenario, AI will mainly replace humans in routine tasks while creative and complex work remains human-driven. Pessimists, however, believe it may only be a matter of time before AI agents start assigning tasks to each other and gradually leave their developers behind.
