Artificial intelligence is reshaping the job market – not in some distant future, but right now. Current research shows that this technological shift is affecting not just individual tasks, but entire job profiles. Occupations that rely heavily on information processing, analysis and communication are at the heart of this transformation. These are exactly the areas where AI systems already deliver a level of efficiency and precision that would have been unthinkable just a few years ago.

Through my training and consultancy work, I’m in daily contact with ChatGPT – it’s long since become something like a reliable sparring partner for me. When GPT-5 was released in Germany last Thursday night, I wasted no time and integrated the new model straight into my workflow. My first hours with it were a mix of anticipation and scepticism: could an already strong version like GPT-4o really make a noticeable leap forward? After several intense days of use, my answer is yes – and in such a way that I already wouldn’t want to be without it.

The technological shift is cutting deep into the world of work, and artificial intelligence is no longer playing a supporting role – it has become the driving force, catalyst, and guide all at once. While many are still speculating about its risks and opportunities, Microsoft’s latest study, Working with AI: Measuring the Occupational Implications of Generative AI, provides a much-needed counterweight to all the theory: it shows how people are actually using AI, what they are doing with it – and what they’re not.

With key provisions of the EU AI Act coming into force on 2 August 2025, a new era of artificial intelligence regulation begins across the European Union. This legislation marks the world’s first comprehensive, binding legal framework for the use of AI, particularly affecting general-purpose AI models (GPAI) such as OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, and Meta’s LLaMA. These versatile models are increasingly embedded in products, services and internal processes across industries.

A new research paper from Anthropic, in collaboration with the Alignment Research Center and Warsaw University of Technology, introduces one of the most subtle yet potentially dangerous discoveries in current AI development: AI models can learn from each other – in ways that are not embedded in explicit data, but in patterns hidden beneath the surface.

A quiet revolution is reshaping how artificial intelligence operates across consumer and enterprise technologies: the rapid rise of on-device AI. Instead of relying on distant cloud servers, AI models are increasingly executed directly on end-user devices—from smartphones and laptops to cars and industrial sensors. In 2025, this shift is no longer experimental. It’s central to the strategies of Apple, Google, Microsoft and other major players who view local AI not just as a privacy or performance upgrade, but as a foundation for the next generation of intelligent systems.

With the launch of the ChatGPT Agent, OpenAI has taken a bold step into the next era of artificial intelligence—transforming the passive chatbot into an active digital assistant capable of operating across the internet on your behalf. For the first time, a system like ChatGPT is no longer limited to answering questions or engaging in conversation. Instead, it acts, navigates websites, conducts research, fills out forms, and performs complex tasks—all without the user lifting a finger.

As artificial intelligence advances at breakneck speed across the globe, the European Union is stepping forward with one of the most ambitious regulatory frameworks to date. Alongside the landmark AI Act—the world’s first comprehensive law on artificial intelligence—Brussels has now introduced a voluntary but potentially influential Code of Conduct aimed specifically at developers and providers of general-purpose AI models (GPAI).