OpeningThis 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 overviewEva 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 discussedAgentic AI systems and why they force a rethink of organizational designAI adoption as a platform shift, not a tool rolloutThe gap between AI urgency and practical implementation inside companiesWorld models vs. specialized models and why both matterInteroperability as an unsolved infrastructure problemTech as both upstream and downstream of politicsSovereignty across compute, infrastructure, data, operations, and talentEurope’s position in an AI-driven power landscapeWhy collaboration now depends on explicit commitments, not assumptionsHow trust becomes harder - and more necessary - as systems scale

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“What did the council decide on item 42?” — answered with the speaker and the moment.