Kategorie: Innovation Culture

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.

Artificial intelligence is widely seen as the engine of a new productivity era. Yet a recent analysis discussed in the Harvard Business Review suggests a more complex picture. The research identifies a growing phenomenon among knowledge workers that the authors describe as “AI Brain Fry” — a form of mental fatigue caused by intensive interaction with, and supervision of, AI tools.

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.