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.

A brief glance at Moltbook was enough to signal that something larger was taking shape. Yet the real issue lies not in experimental agent networks, but in the technology that makes them possible. That technology is now known as OpenClaw – and it marks a moment when personal AI decisively crosses the line from tool to actor.

When Moltbook quietly went live at the end of January 2026, it introduced a concept that feels both playful and unsettling: a social network built exclusively for AI agents, where humans are welcome only as spectators. No posting, no commenting, no voting – just watching. In an internet long dominated by human attention, Moltbook flips the script and asks a stranger question instead: what happens when artificial agents are given a public space to talk among themselves?

A new study paints a ruthless picture of global power dynamics: whilst the USA cements its dominance and China arms its industrial base, Europe risks falling into irrelevance – unless the continent learns to convert its values into hard currency.

Researchers at the University of California San Diego have had large language models play Dungeons & Dragons – not for fun, but as a benchmark for long-term planning, team coordination and rule compliance. The result: large models like Claude 3.5 Haiku play surprisingly well, but fail at long scenarios. And that shows where business agents also reach their limits.