Opening
This solo episode of The In-Between Tech & Trust Podcast
reflects on conversations from Davos and what they reveal about
where tech, politics, and trust are heading into 2026. It’s for
leaders, operators, and policy-adjacent roles who are trying to
make sense of AI adoption beyond tooling. The focus is on what
actually changes inside organizations, institutions, and
collaborations when AI becomes infrastructure.
Episode overview
Eva Simone Lihotzky unpacks four threads that kept resurfacing
across discussions with tech, political, and business leaders:
agentic AI systems, the politics of technology, sovereignty, and
the future of collaboration and trust. Rather than reporting
speeches, the episode explores tensions beneath the surface - why
organizations feel urgency but struggle to act, how AI exposes
institutional weaknesses instead of fixing them, and why
governance, infrastructure, and responsibility are now
inseparable.
The episode moves between business realities and geopolitical
dynamics, asking what it really means to design AI-driven
organizations, who shapes the rules when tech and politics are
interwoven, and how dependence on a small set of platforms
reshapes power, accountability, and autonomy.
Key themes discussed
Agentic AI systems and why they force a rethink of
organizational design
AI adoption as a platform shift, not a tool rollout
The gap between AI urgency and practical implementation
inside companies
World models vs. specialized models and why both matter
Interoperability as an unsolved infrastructure problem
Tech as both upstream and downstream of politics
Sovereignty across compute, infrastructure, data, operations,
and talent
Europe’s position in an AI-driven power landscape
Why collaboration now depends on explicit commitments, not
assumptions
How trust becomes harder - and more necessary - as systems
scale
Kommentare (0)
Melde dich an, um einen Kommentar zu schreiben.