At Burger King, “Patty” is not a burger component but the name of a new AI assistant that lives directly inside employees’ headsets — listening, assisting and, to some extent, evaluating.

With Microsoft Copilot, Microsoft has firmly embedded AI into everyday productivity. Yet with Copilot Tasks, the emphasis shifts noticeably: away from assistance and towards execution.

For a long time, what machines could see was largely a matter of recognition. Today, it is becoming a matter of understanding — and increasingly, of creation. Under the umbrella of Visual Intelligence, a new class of AI systems is emerging that not only analyse visual data, but interpret it, connect it with language and generate entirely new visual content. Combined with generative AI, this marks a shift from seeing to thinking in images.

The warning does not come from a start-up or a trade union, but from UNESCO. In its latest report on the future of the creative economy, the organisation outlines a scenario that extends far beyond technological disruption. Generative AI and platform-driven markets, it argues, could lead to significant income declines for creative professionals by 2028 — not as a temporary shock, but as a structural shift.

What sounds like a personnel move is, in reality, a directional shift for the next phase of AI. OpenClaw, until now perhaps the most visible symbol of the open agent movement, will formally remain independent – yet its creator is joining OpenAI to advance precisely the field that made OpenClaw influential: personal, continuously operating AI agents.

Over the past few days, I’ve spent considerable time working with Claude Opus 4.6 – and it’s rare for a model to feel like a genuine step change. Not because it writes more eloquently or responds faster, but because it approaches work differently. More structured. More persistent. More reliable. The experience shifts from prompting a reactive system to collaborating with something that can sustain thought over time.

When Moltbook went live, it briefly felt like a glimpse behind the curtain of the future. A social network populated not by people but by AI agents: millions of profiles, endless debates,...

By 2026, leadership has not been dramatically reinvented, but it has been quietly redefined. Artificial intelligence is no longer an innovation project or a future ambition; it has become part of everyday operations. Reports are generated automatically, decisions are prepared by data models, assistants and agents handle routine tasks. For managers, this shift changes the nature of effectiveness. What matters less is technical depth, and what matters more is the ability to connect technology, people and organisational purpose.