TLDR: Full automation often fails due to complex reality & lack of contextual understanding. Better: partial automation + trust in people who decide & act situationally. Focus on freedom, not rigid processes.
AI sounds confident, but leads to cognitive laziness. Critical thinking is key, not "perfect" prompts. Use AI as a thought partner, not a guru. Cognitive humility is key.
Many companies are struggling with digital tool overload and resorting to Excel. This is caused by poorly integrated systems that create inefficiency. Integration, automation of core processes, and real-time data help create a future-proof solution. Fewer, but connected tools are the key.
Successful AI integration requires digital maturity. Instead of digitally mapping analog inefficiencies, it's about transforming processes, centralizing knowledge, and using modern tools. Only then can agility, efficiency, and innovation be increased and AI be used effectively.
Schiller & Wolf support companies in preparing for existential threats such as market upheavals. Future security is based on agility, innovation, and resilience. Digitalization is actively shaped, and social crises are overcome.
The world is experiencing profound change through deglobalization, decarbonization, digitization, and demographics. Preserving success requires agility, innovation, and courage to change. Companies must act sustainably, invest in digitization, and shape future viability through cultural change.
The Fraunhofer IAO scenario report analyzes digital transformation as an ongoing process requiring strategic technology integration. It emphasizes the importance of AI, networking, and further education to secure competitive advantages and overcome challenges such as data protection. Actively shaping the digital future through agile strategies is recommended.
Digitalisierung
Entscheiden
Komplexität
KI
Problemlösung
Disruption
Michael Schiller
January 21, 2025 ·
13 minutes read
The increasing flood of information and system complexity overwhelm cognitive abilities. This requires systems thinking, heuristics, and AI for reduction. Neural plasticity enables adaptation through focus and cooperation. AI serves as a partner to overcome challenges, with a willingness to change being essential.
The "Future of Jobs Report 2025" predicts a profound transformation by 2030 due to AI, robotics, and sustainability. Automation reduces human tasks but requires new skills in technology and collaboration. Lifelong learning and ethical technology design are crucial for an inclusive, future-proof world of work. Education and politics must adapt.