Most people begin working with artificial intelligence by writing a prompt. But as AI adoption becomes more sophisticated, one thing becomes increasingly clear: a single prompt is rarely enough. Modern AI workflows are evolving along a clear maturity ladder – from prompts to skills, workflows, agents and, ultimately, projects. These five levels do not represent different technologies, but different ways of organising work with AI. Understanding them allows organisations not only to use AI more effectively, but also to scale it and integrate it into existing business processes.

From today, 2 August 2026, another key part of the European Union's AI Act comes into force. The transparency obligations set out in Article 50 introduce the first legally binding rules requiring certain AI-generated content and AI systems to be clearly identified. The aim is to ensure that people know when they are interacting with artificial intelligence or viewing content that has been created or substantially manipulated using AI.

Artificial intelligence is no longer a futuristic concept on university campuses. For the overwhelming majority of students, it has become an integral part of everyday academic life—whether for research, learning, writing or programming. The latest CHE DataCHECK, Artificial Intelligence in Higher Education, reveals just how deeply AI has become embedded in students' daily routines. At the same time, the report exposes a widening gap between how students actually use AI and the support universities provide.

The music industry is responding to the growing flood of synthetic songs with a new labelling system. In future, two visual labels will indicate whether a sound recording was created primarily by generative AI or simply produced with AI assistance. "AI-generated" and "AI-assisted" are intended to give listeners an immediate understanding of how extensively artificial intelligence contributed to what they hear.

Artificial intelligence is changing the rules for people entering the workforce. Many tasks that were once considered classic entry-level work can now be automated or at least significantly accelerated: research, initial analysis, drafting presentations, writing first versions of documents, generating code snippets, preparing data and responding to customer enquiries. Precisely because of this, it is no longer enough for graduates and junior employees to be hardworking, reliable and technically competent.

While many countries are still debating whether students should be allowed to use ChatGPT in the classroom, Estonia has chosen a far more ambitious...