Kategorie: Technology

At first glance, the XR market in early 2026 appears settled. Apple Vision Pro defines premium spatial computing, while Meta Quest 3 dominates the mass market with a gaming-first approach. Yet into this seemingly stable landscape steps Pico with Project Swan XR — and challenges the very assumptions current headsets are built on.

Agents are widely seen as the next evolution of AI. Systems such as Claude (including Cowork) or automation platforms like n8n promise to plan and execute entire tasks autonomously. Yet this is precisely where a new cost dynamic emerges — one that is catching many organisations off guard in 2026. AI is no longer priced per request, but per underlying computation.

Introducing generative AI is not an IT project. It is a management challenge. While tools can be deployed quickly, real success depends on something else entirely: strategy, leadership, organisation and culture. Companies that treat generative AI as just another software upgrade will struggle to unlock its potential — and may even introduce new layers of complexity.

A debut novel becomes a bestseller, a publisher picks it up, the US release is prepared – then an AI detector reveals that 78 per cent of the text was probably machine-generated. Hachette pulls the book. What remains is more than a scandal: it's the blueprint for the crisis of trust facing the entire creative economy.

What began as a global augmented-reality game is quietly becoming infrastructure for autonomous machines. Over the past decade, millions of players of Pokémon Go have taken photos of streets, buildings and public landmarks while hunting for virtual creatures. Today, that same visual data is helping delivery robots navigate cities with remarkable precision.

When introduced its assistant , it was quickly positioned as Europe’s alternative to ChatGPT. Over the past months, the system has evolved considerably, adding multimodal capabilities, integrations with business tools and a clear emphasis on European data sovereignty. At the same time, its development also reveals where the current limits of this alternative still lie.

Artificial intelligence is widely seen as the engine of a new productivity era. Yet a recent analysis discussed in the Harvard Business Review suggests a more complex picture. The research identifies a growing phenomenon among knowledge workers that the authors describe as “AI Brain Fry” — a form of mental fatigue caused by intensive interaction with, and supervision of, AI tools.

With ChatGPT and its latest model GPT-5.4 Thinking, the focus of modern AI shifts once again — this time away from isolated answers towards sustained, complex workflows. OpenAI positions the model as a new frontier system for professional knowledge work: more capable, more efficient in reasoning and significantly stronger in agent-style tasks.