Kategorie: Business

At CHI 2026 in Barcelona, Apple is not showcasing major product launches, but something arguably more significant: a set of research contributions that offer a rare glimpse into how the company is thinking about the future of interfaces, accessibility and data-driven design.

Generative AI is not just transforming processes, products or business models. It is going deeper — into the core of organisations: leadership, accountability and structure. What once felt relatively stable is now being redefined. New roles are emerging, organisational charts are becoming more fluid, and leadership itself is undergoing a fundamental shift.

Agents are widely seen as the next evolution of AI. Systems such as Claude (including Cowork) or automation platforms like n8n promise to plan and execute entire tasks autonomously. Yet this is precisely where a new cost dynamic emerges — one that is catching many organisations off guard in 2026. AI is no longer priced per request, but per underlying computation.

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.