Kategorie: Innovation

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.

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?

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.

CES 2026 showed not individual gadgets, but ecosystems. Agentic AI that thinks along. Humanoid robots that climb stairs. Cars that learn new functions via software update. And PCs whose displays unroll at the press of a button. The show made clear: technology is becoming ambient, proactive and invisible – until you need it.

Reindeer, sleigh, chimneys – the classic Santa Claus story sounds like a fairy tale. Yet with today's technology, a global delivery system that reaches billions of households in a single night would be surprisingly close to reality. A look at the technologies that could turn magic into feasibility.

Disney and OpenAI have sealed a partnership that could redefine the relationship between the creative industries and generative AI. A billion-dollar deal that demonstrates one thing: if you want to help shape the future, you need to stake your claim early.

Just a few years ago, the job title sounded like something out of a future trends report. Today, it's rapidly becoming reality: the Human-Machine Teaming Manager is emerging as a key figure in organisations seeking to bridge the gap between human intuition and machine efficiency. As artificial intelligence and automation become deeply embedded in workflows, a new professional role is taking shape—at the intersection of technology, psychology, and organisational development.

In a world where chatbots solve problems, algorithms shape job profiles, and artificial intelligence is far from science fiction, it’s no longer enough for the next generation to simply use AI. They must understand it – and learn what uniquely human skills they’ll need to thrive alongside it. Curiosity, ethics, creativity and critical thinking: today’s children need all of these to grow into confident, capable citizens in an AI‑driven society.