With Claude Design, Anthropic is trying to solve a problem that many AI tools have so far struggled with: moving beyond generating visually appealing one-off outputs towards something that actually supports a real design workflow. The new product from Anthropic Labs is neither a classic image generator nor a simple prompt-driven toy. Instead, it is a browser-based environment that combines chat, a visual workspace and a pathway into production-ready development. Anthropic positions it as a research preview for Pro, Max, Team and Enterprise users

Autonomous AI agents are widely seen as the next evolution of software. They plan, decide and increasingly act on their own. That is precisely what makes them so powerful and, at the same time, so risky. The more autonomy a system is given, the closer it gets to a point where control is no longer guaranteed. The so-called “Rule of Two”, a security principle introduced by Meta, is a direct response to this tension. It is neither a complex framework nor a new technology, but a deliberately simple rule addressing a fundamental issue: the concentration of power within a single system.

At CHI 2026 in Barcelona, Apple is not showcasing major product launches, but something arguably more significant: a set of research contributions that offer a rare glimpse into how the company is thinking about the future of interfaces, accessibility and data-driven design.

Generative AI is not just transforming processes, products or business models. It is going deeper — into the core of organisations: leadership, accountability and structure. What once felt relatively stable is now being redefined. New roles are emerging, organisational charts are becoming more fluid, and leadership itself is undergoing a fundamental shift.

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.