The ITU's AI for Good initiative and Deloitte's global research converge in a new report mapping where AI creates real impact — from detecting diabetes through voice analysis to predicting disasters that cost $460 billion annually. This fireside chat unpacks sovereign compute, the global skills gap, and why access to infrastructure, not talent, is the real barrier to AI equity.
WHAT THIS PANEL COVERS
- Sovereign AI is now a corporate issue, not just a government one — new models consume 40x more compute tokens than a year ago, making hyperscaler dependency a strategic risk
- An Estonian startup can detect blood sugar levels from voice alone — but if AI can read your blood, it can also detect lying, attention, and behavior, raising urgent dual-use questions
- The global AI skills gap is not about engineers — developing nations have the talent but lack compute infrastructure, which the ITU is addressing through programs in 70+ countries
- Healthcare and education hold the greatest AI-for-good potential: AI could save 15% of $460B in annual disaster costs through prediction alone
- ITU standards are embedding safety, equity, and interoperability into AI solutions — providing practical governance while global frameworks remain aspirational
PANELISTS
• Stephan Balzer — Keynote Speaker, Host & Moderator; Managing Director, red onion (Moderator)
• Frederic Werner — Chief, Strategic Engagement Division, AI for Good, ITU (United Nations)
• Costi Perricos — Global Leader, Office of Generative AI, Deloitte; Founder, Deloitte AI Institute
• Kseniia Fontaine — Senior Business Development and Operations Officer, ITU
unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.
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Tags: AI for good, ITU, Deloitte, sovereign AI, compute infrastructure, AI skills gap, AI governance, AI standards, healthcare AI, disaster prediction, global South, digital divide, AI equity, Davos 2026, unDavos, REWIRE