Natural intelligence meets artificial intelligence.
The future is human. Enhanced by AI.
Current neuroscience. State-of-the-art AI systems. Frameworks that inspire and directly advance people and organizations.
Based on neuroscience. Demonstrated live. Immediately applicable.
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AI is changing the way
we work.
And how we think.
AI is not just changing how we work.
It changes how we think, learn, and make decisions.
The real question, therefore, is not which model will be released next. Rather:
How can we shape the synergy between humans and machines in such a way that it makes us more creative, more capable – and perhaps even more human?
I combine current research from neuroscience with the latest developments in artificial intelligence – and with experience from working with international organizations.
It never stays purely theoretical. Together with the audience, we develop frameworks, test AI live on stage, and translate scientific findings into tools for everyday work.
Highly regarded by executives at Microsoft, Erste Group, Roche, Würth and other international companies.
What makes my keynotes stand out:
Based on neuroscience
Current research on attention, learning and motivation – translated into easy-to-understand language.
State-of-the-art
AI live
No screenshots from yesterday. The latest AI systems, live on stage.
Frameworks instead of theory
Thinking and working models that teams can directly implement in their practice.
Insights from international projects
Experience working with global companies, NGOs and public institutions.
Interactive live demonstrations
The audience becomes part of the process – trying things out instead of just watching.
Immediately applicable in everyday work
Each keynote ends with concrete tools for the next workday.
Why the future is human.
And is being enhanced by AI.
The potential of artificial intelligence is undisputed. At the same time, the following still applies:
The quality of our thinking determines the quality of AI.
Therefore, human excellence remains the decisive factor for success.
This keynote will show why the greatest opportunity of artificial intelligence lies not in replacing human labor – but in expanding human capabilities.
Together we will examine why the entire industry is focusing on automation, why many AI investments fall short of expectations – and why augmentation is often the more effective approach.
The audience experiences
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Why augmentation is more important than automation.
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How AI can multiply human capabilities.
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What neuroscience findings companies need to know today.
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Live demonstrations of state-of-the-art AI systems.
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Frameworks for direct use in everyday work.
Three perspectives on the
same question.
01
Learning with AI
The future of learning is human. Enhanced by AI.
How the diverse capabilities of artificial intelligence open up new ways of learning – and why its greatest potential lies not in automation, but in expanding our abilities.
A plea for a learning approach that makes content more quickly, specifically, and individually understandable.
02
AI & Dopamine
How generative AI strengthens – or systematically undermines – our motivation.
Why artificial intelligence is not a neutral technology and influences our attention, motivation, and neurochemistry.
The keynote will show how our dopamine system works, how AI can increase or overcome procrastination – and how we can use it in such a way that it strengthens us in the long term instead of weakening us.
03
Neuroscience of Change
Why do we find it so difficult to deal with uncertainty and change?
The keynote will show how our brain reacts to potential dangers and how we can specifically stabilize our nervous system.
The focus is on concentration and breathing techniques, relaxation and healthy sleep, as well as a better understanding of one's own dopamine system. This helps us remain resilient, focused, and capable of action even during challenging change processes.
About Julian:
Julian combines behavioral economics, neuroscience, and artificial intelligence to create a new perspective on the future of work.
With a background in behavioral economics, a diploma in psychological counseling specializing in nervous system regulation, and an MBA in Artificial Intelligence, he combines current neuroscience research with the direct application of modern AI systems.
As the founder of still. yet moving., he supports international organizations in jointly developing natural and artificial intelligence – not as opposites, but as mutually reinforcing forms of human capability.