As AI rewires the architecture of the global economy, nations and industries are diverging into producers of intelligence, consumers of AI, and coordination hubs. This shift is reshaping GDP trajectories, productivity frontiers, and the distribution of economic power. Organizations that recognize this transformation early will build systems that sense market changes, adapt operations, and evolve offerings in real time, creating data and capability advantages that rapidly broaden the gap between emerging leaders and those struggling to keep pace. For many, AI unlocks unprecedented opportunity; for others, the accelerating transition is profoundly destabilizing. With progress now measured in months rather than years, this panel examines how the global industrial map is being redrawn, how power is being redistributed, and what resilience demands in an era defined by adaptive, intelligence-driven competition.

As AI is being deployed at unprecedented speed, making it safe, secure, and trustworthy is a global priority. This roundtable brings together world leading AI experts from policy, industry, and academia to explore how to accelerate the shift from high-level AI risks and principles to practical implementation of AI governance and risk management. The session will focus on using verifiable evidence to build trustworthy, safe, and secure AI systems to enable fast AI adoption while safeguarding both business and society.

This roundtable examines how data shapes AI models’ capabilities and risks, focusing on data collection and curation for training, responsible deployment, and evaluation. The discussion will address best practices and open challenges across the AI pipeline, including how data quality and diversity influence model performance, how evaluation data supports safety, privacy, fairness, and accountability, and how progress can be reliably measured. Participants will explore the future of AI and data generation, the impact of limited data availability, evolving definitions of “high-quality” data, and shifts in data needs as research advances. The conversation will also consider issues of data governance, intellectual property, global regulatory disparities, and the ethical balance between accuracy, diversity, and representativeness. The goal is to identify practical insights for developing AI systems that are both powerful and responsible.

As AI becomes the backbone of national competitiveness, the physical and digital infrastructure supporting it can no longer be seen as neutral. This roundtable will examine how infrastructure, from data centers to sovereign cloud, is evolving into a strategic asset for governments and enterprises alike. We will explore its role in enabling compute equity, digital sovereignty, and sustainable growth in the AI age. Bringing together voices from policy, industry, sustainability, and finance, the conversation will focus on infrastructure as a site of both national resilience and global interdependence and how decision-makers can future-proof it for geopolitical, technological, and environmental change

This panel explores how societies can actively shape the future of AI through inclusion, literacy, and broad civic participation. It examines how to strengthen public engagement in AI policymaking, close knowledge gaps through accessible education programs, and build tools that enable transparent, participatory governance. The discussion highlights how informed communities can influence the development, deployment, and oversight of AI systems that impact daily life and democratic decision-making.

Europe is at a crossroads in the global AI race. As AI becomes a defining force in geopolitics, Europe faces a widening sovereignty gap compared to the USA and China. To address this challenge, the “AI Geopolitics 2030: The New Power Distribution Through Strategic AI Sovereignty” study closely examines the competitiveness and geopolitical significance of AI in Europe, both within Europe and in comparison with the United States and China. The study will introduce the Strategic AI Capability Index, a robust framework to measure actual AI capabilities across nations and determine the economic cost of Europe’s sovereignty gap. It will also feature exclusive CXO interviews, aiming to deliver strategic recommendations to strengthen Europe’s competitiveness and sovereignty in the age of intelligent systems, as well as future scenarios outlining potential global AI geopolitical developments. This dinner, with the launch of the study, aims to share insights on how Europe can navigate the shifting power dynamics of AI geopolitics and AI governance.

AI and robotics move fast, yet the idea that machines will soon take over most human work ignores a harder truth. Real-world performance requires long, uneven engineering progress, and breakthroughs rarely arrive on cue. Even strong technology does not guarantee broad adoption. This session explores that gap. Participants enter a future where robotics has advanced, but not as boldly as predicted. The diverse group examines how such a shortfall could arise and what it reveals about technology, regulation, safety, economics and public acceptance. The format brings together leaders for a focused, confidential exchange that supports clear thinking and unconventional perspectives. People leave with a sharper view of intelligent machines, expected robotics and AI progress, stronger connections, and maybe a few positive surprises.

As AI redefines medicine, the focus is shifting from treating illness to preserving health and extending human longevity. This panel will explore how intelligent systems are enabling a proactive, preventative, and personalized approach to care - from genomic insights and biomarker discovery to continuous diagnostics and digital twins. Panelists will discuss how these technologies are converging to reframe aging not as an inevitability, but as a solvable challenge. The conversation will also explore the infrastructure, ethical, and access considerations needed to ensure longevity gains are inclusive and globally distributed. From frontier science to system-level transformation, this session maps what it takes to leap into a future where “forever healthy” is not a privilege, but a possibility.

AI is redefining how organizations create, coordinate, and capture value. As enterprises become AI-native, traditional organizational models are being dismantled and the boundaries of what a ‘job’ is are being reshaped entirely. Collaboration between humans and AI agents is transforming organizations from rigid structures into dynamic systems of intelligence. Acting as co-workers and autonomous economic actors, they reshape work, markets, and accountability. Business models shift toward Intelligence-as-a-Service, capability marketplaces, and algorithmic organizations. While AI boosts agility and scalability, it raises governance, transparency, and ethical challenges.This panel focuses on how human–agent organizations are transforming industries and redefining business models and what this means for strategy, leadership, and the future of work.

AI is accelerating drug discovery, enabling personalized medicine, and reshaping healthcare economics. Scaling its impact requires more than technology, it demands new collaboration across pharma, regulators, payers, and tech providers. This session explores how AI can transform pipelines, infrastructure, and partnerships to build resilient, equitable, and intelligent health systems.

As the foundational model landscape evolves, the focus continues to be on Agentic AI models. This roundtable explores the strategic value of agile, specialized AI models - particularly for nations and organizations prioritizing sovereignty and efficiency. From supporting languages to enabling fine-tuned control in regulated environments, these models offer an alternative pathway to AI deployment. The discussion will gather technologists, policymakers, and researchers to explore how these purpose-built systems can democratize innovation while lowering environmental and economic costs.

As generative and agentic AI move from early adoption into true mainstream use, a new set of frontiers is rapidly coming into view. So what’s next? In this session, we’ll explore the next wave of AI innovation beyond today’s paradigms, examining where the technology is heading, which breakthroughs still stand between us and the next leap forward, and how these advances could reshape entire industries throughout the 2030s. From multimodal intelligence and autonomous experimentation to large-scale simulation and the emergence of new human-machine interfaces, we’ll map out the trajectories that could redefine how AI is built, deployed, and experienced. This panel will also get practical: What opportunities are genuinely venture-backable? How should founders and investors navigate the evolving deep-tech landscape? And what new funding models, ecosystem support, and policy shifts are required to accelerate high-impact AI applications while removing unnecessary barriers?

This session offers a reality check on the ROI of AI. While AI is often positioned as a strategic game-changer, the question remains: how long can organizations sustain this narrative without clear EBIT proof? We will explore the criteria for continuing or terminating AI initiatives and examine how to balance innovation with other major trends shaping the business landscape. The discussion will address critical challenges such as identifying KPIs that truly reflect business impact rather than vanity metrics, managing investor and board expectations when ROI is uncertain, and determining when to pivot or terminate projects. We will also delve into talent strategies whether to train, hire, or outsource and tackle issues like data scarcity, legacy systems, and financing models that enable scalable AI adoption. Ultimately, the session aims to separate hype from reality and provide actionable insights for leaders navigating AI’s role in driving sustainable business value.

Space exploration isn’t just about reaching new frontiers - it’s about unlocking breakthroughs that transform life on Earth. This panel explores how AI in space is accelerating innovation and driving real-world impact across smart cities, precision agriculture, disaster response, climate modeling, and global sustainability. From the analysis of satellite imagery to the training of AI models aboard the International Space Station, and even the future creation of orbital data centers, space-powered intelligence is turning global challenges into opportunities for a smarter and more resilient world.

In recent years, the use of AI, including generative AI, has been expanding in primary and secondary education. This panel will discuss the use of AI in primary and secondary education from a wide range of perspectives, including educational benefits and concerns, impacts on children’s development, challenges in implementation and operation, national and local policies, and global trends.

How can we ensure that the next generation of AI systems reflects the world’s linguistic and cultural diversity rather than narrowing it? This interactive evening session explores how shared AI infrastructures, from open data to equitable compute access, can empower linguistic diversity. Through short expert inputs and open networking, participants will exchange ideas on inclusive AI innovation for the common good.

An evening to rethink what AGI truly means. Rather than seeing intelligence as stored knowledge or fixed patterns, we explore it as a dynamic, evolving process, one that has shaped human cognition across millions of years. How close are we to creating machines that don’t just perform tasks but continuously reshape their own models of the world? What risks and possibilities arise when intelligence becomes augmented, accelerated, or even decoupled from biology as we know it now? We will examine the promises and perils of transformative AI, and widen the discussion into cultural, philosophical, and spiritual dimensions. What does it mean for humanity when a new kind of mind emerges alongside us? And how might this shift redefine creativity, purpose, and the future of human evolution?

AI is becoming a game-changer in M&A, reshaping why deals happen, how targets are valued, and which industries will evolve next. This session will challenge traditional assumptions and explore the future of deal-making. How is AI redefining what companies seek to acquire, is the motive shifting toward securing talent and technology, or toward adapting to new business models as existing ones mature? How should deal teams think about valuing AI capabilities, are they worth a premium, or becoming part of the standard operating baseline? Do acquisitions of AI-intensive businesses introduce new types of risk, or simply amplify familiar integration challenges? And how does AI influence the overall M&A lifecycle? This session is designed for dealmakers, strategists, and innovators looking to understand how AI is not only influencing M&A, but reshaping the strategic logic behind it.

Governments around the world are facing rising expectations to deliver services that are faster, fairer, and more responsive to citizens. This roundtable will explore how AI is reshaping public administration, from crisis response and digital identity to predictive service delivery and real-time policy feedback loops. Participants will include public sector leaders, technologists, civic innovation experts, and multilateral institutions. The conversation will aim to surface new models for embedding AI into governance frameworks that are transparent, inclusive, and designed around people, not just processes.

Across industries, AI is becoming the backbone of operational and strategic decision-making. Yet embedding AI into the enterprise is not a technology rollout, it’s an organizational redesign. As leaders scale AI beyond pilots, they face fundamental shifts in how work is structured, how decisions are made and how accountability is defined. This session convenes transformation leaders from industry, finance, and services to explore what it takes to build truly AI-native enterprises by 2030, where technology, culture and governance evolve together.

Join us for an exclusive cocktail evening showcasing AI artists exploring the intersection of AI, humanity, and the natural world. As AI video generation rapidly approaches true photorealism, it increasingly blurs the line between fabricated and lived human experience. These artists use visual art and AI-generated video to examine how technology reshapes emotion, identity, and authorship. How does AI transform the stories we tell about ourselves, how do digital systems interpret emotional experience, and what new forms of creativity emerge when artists and algorithms share the canvas? Discover it firsthand and decide what it means to you.

After a week of conversation at the AI House under the theme A Human Intelligence Shift, Friday turns our attention to The Long Horizon. The Swiss Morning sets the stage for looking beyond immediate breakthroughs to ask how intelligence may evolve, whether it will converge across cultures, fragment into competing systems, or diversify in new and surprising ways. Building on Switzerland’s neutrality and strong innovation heritage, the day connects global debates to local realities, exploring how a small, future-focused nation can translate worldwide conversations into meaningful action at home while offering a steady voice to the international community. From startup ingenuity to long-term visions, discussions highlight how Switzerland meets global momentum with clarity, curiosity, and collaboration, an environment designed for reflection, connection, and imagining the world we want to build together.