Kategorie: Innovation Culture

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.

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 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.

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.

Artificial intelligence is no longer just an experiment for major companies – it's a proven driver of business value. That’s the key finding from a new study by the Human-AI Research Department at the Wharton School, which surveyed more than 800 senior executives from large US firms. Around 75 per cent of respondents said their AI projects are already delivering a positive return on investment – a striking result amid ongoing scepticism around the real-world impact of AI.

Artificial intelligence is transforming the world of work at breathtaking speed. Algorithms are screening job applications, optimising production workflows and handling customer queries. But who decides how these systems are used? And what role do employees play in that decision? In Germany, the answer is clear: co-determination.

As artificial intelligence advances at breakneck speed across the globe, the European Union is stepping forward with one of the most ambitious regulatory frameworks to date. Alongside the landmark AI Act—the world’s first comprehensive law on artificial intelligence—Brussels has now introduced a voluntary but potentially influential Code of Conduct aimed specifically at developers and providers of general-purpose AI models (GPAI).