Powering the Agentic AI economy.

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Pete Erickson opens the event with a welcome message and shares his journey as an ecosystem builder for those at the forefront of artificial intelligence.  

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“The Future Is Angelic” reframes AI as a force that must be guided, not merely unleashed. Angelic Intelligence represents a new leadership mindset—one that balances innovation with accountability, autonomy with governance, and speed with wisdom. For global leaders navigating geopolitical uncertainty, economic disruption, and technological acceleration, this keynote offers a clear imperative: the future of AI will be defined not by capability alone, but by the values embedded in the systems we choose to scale.

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As artificial intelligence evolves from automation to autonomous action, a new source of advantage is emerging—one that will define economic leadership in the decade ahead. In The Age of Autonomous Advantage, global leaders examine how agentic AI is reshaping productivity, competitiveness, and power across markets and regions.

This panel explores a pivotal shift: when software moves from executing tasks to making decisions, advantage accrues not merely from adoption, but from how autonomy is governed, scaled, and trusted. Panelists will discuss where economic value is concentrating, how policy and regulation are influencing outcomes, and why talent, infrastructure, and institutional credibility have become decisive assets in an agentic world.

For executives, policymakers, and investors, this conversation offers a clear-eyed view of how autonomous systems are redefining global prosperity—and the leadership choices required to compete responsibly and effectively in this new era.

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Grab a coffee and meet your fellow Davos Delegates. 

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As AI increasingly mediates how people see themselves—and what they choose to buy, trust, or believe—the interface between humans and intelligent systems becomes a strategic asset. In this keynote, Wayne Liu explores how augmented reality and AI-powered visualization are reshaping consumer decision-making at global scale.

Drawing on Perfect Corp’s deployment across millions of users worldwide, this talk examines why trust, realism, and ethical representation matter when AI directly influences perception and identity. The future of AI will not be defined solely by autonomous agents operating in the background—but by systems that stand face-to-face with humans, shaping choices in real time.

This session reframes augmented reality as a trust layer for AI, offering lessons for leaders building human-facing intelligent systems across any industry.

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Storytelling is one of humanity’s oldest survival technologies. Long before markets, contracts, or institutions existed, shared narratives enabled humans to cooperate, trade, and extend trust beyond bloodlines. In this keynote, Gregory Matusky explores storytelling as a biological, economic, and civilizational force—and examines what changes when artificial intelligence enters that equation.

Drawing from anthropology, economics, and modern communications, the talk traces how narrative shaped early trade systems, collective belief, and social coordination. It then confronts a defining tension of the AI era: if storytelling helped create the human experience as we know it, what does it mean when machines can now generate stories at scale?

Rather than framing AI as a threat to creative professions, Gregory reveals a different pattern emerging across media, communications, and the creative economy. AI does not simply replace human storytelling—it unlocks suppressed demand, removing barriers of time, access, and production. The result is not fewer stories, but exponentially more—hyper-personalized, culturally specific, and deeply human in new ways.

The keynote culminates with real-world examples of AI-assisted storytelling, including projects that preserve intergenerational memory, voice, and historical perspective. These demonstrations position AI not as a substitute for meaning, but as a multiplier—raising urgent questions about authorship, authenticity, and trust in an age of intelligent systems.

The talk closes where it began: with storytelling as a survival mechanism. As machines learn to narrate, the ultimate question becomes not what AI can say—but where human judgment, intention, and moral authority still matter most, and how storytelling may once again redefine what it means to be human.

Core Takeaways

• Why storytelling predates markets—and still underpins them

• How AI is expanding creative participation rather than collapsing it

• What the creative economy reveals about hidden demand and scale

• Where human judgment, trust, and meaning remain irreplaceable

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Stick around for the AGENTIC AI Davos lunch

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Artificial intelligence is fundamentally reshaping how companies are built, funded, and scaled—but its impact on founders is far from uniform. From compressing development timelines and reducing capital requirements to intensifying competition and redefining defensibility, AI is changing the rules of entrepreneurship on both sides of the Atlantic.

This panel brings together leading investors from Europe and North America to examine a central question facing today’s founders: is AI creating leverage—or eroding it? Panelists will explore how AI is affecting founder advantage, investor expectations, and company formation in different regulatory and market environments.

The discussion will compare transatlantic dynamics, including how capital markets, talent access, and policy frameworks shape founder outcomes. Panelists will also address what investors now look for in AI-native and agentic companies, how moats are evolving when intelligence is widely accessible, and where founders risk mistaking speed for sustainable strategy.

For founders, investors, and ecosystem leaders, this session offers a candid, cross-border view of AI as both an accelerant and a stress test—and what it now takes to build enduring companies in an AI-driven economy.

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As AI becomes deeply embedded in everyday life—from healthcare and work to identity and decision-making—the most consequential leadership challenge is how intelligence is applied to human systems. The next era of AI will be defined not by abstraction, but by leaders who understand lived experience, trust, and long-term impact at scale.

The Future of AI Is Female-Led brings together women leading AI across enterprise transformation, public ecosystems, ethics, and human-centered innovation. From governing agentic systems to deploying AI in domains that directly affect human wellbeing, these leaders represent a pragmatic, accountable model of AI leadership grounded in real-world consequence.

Susan Sly’s work with The Pause AI, an AI-powered mobile platform addressing menopause and women’s health, underscores a critical shift: AI leadership is moving closer to the human experience. Combined with perspectives from global economic development, enterprise-scale AI execution, and data justice, this panel examines why leadership rooted in empathy, systems thinking, and accountability is increasingly essential as AI systems gain autonomy.

This is not a conversation about diversity optics. It is a conversation about who is demonstrating the judgment, restraint, and responsibility required to lead AI in domains where trust is non-negotiable and mistakes are personal, visible, and costly.

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Artificial intelligence is advancing rapidly—but autonomy at scale demands more than intelligence alone. As agentic AI systems begin to act, decide, and transact independently, three foundational technologies are converging to determine whether this future is powerful and chaotic—or powerful and governable.

The Great Convergence explores how AI, blockchain, and quantum computing are beginning to function as a unified system:

• AI as the decision-making layer

• Blockchain as the trust, audit, and value layer

• Quantum computing as the acceleration and complexity layer

Together, these technologies form the architecture required to make agentic AI auditable, tokenized, secure, and scalable across global markets and institutions.

This panel moves beyond theory to examine how convergence enables real-world capabilities: verifiable decision trails for autonomous agents, cryptographic accountability for AI actions, tokenized incentives and governance models, and the computational power required to simulate, optimize, and secure complex systems at unprecedented scale.

At the same time, panelists will confront the hard questions this convergence raises: Who controls autonomous systems when intelligence, value, and computation are distributed? How do institutions maintain oversight when agents act faster than human governance cycles? And what new risks emerge when quantum capability collides with decentralized trust models?

For global leaders, The Great Convergence offers a forward-looking but grounded view of the infrastructure that will define competitive advantage, regulatory credibility, and systemic resilience in the agentic era.

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Enjoy a coffee or tea and get to know your AGENTIC AI Davos colleagues. 

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As the agentic era accelerates, intelligence is no longer constrained by algorithms—but by energy, compute, and infrastructure. In this opening session, Kelly Kirsch reframes sustainability as a real-time systems challenge driven by exponential growth in AI, quantum computing, blockchain, and global data centers.

Kelly explores how Earth AI can serve as an intelligence layer for the planet—optimizing power consumption, improving data efficiency, and enabling smarter decisions across energy grids, enterprises, and governments. Rather than treating sustainability as a reporting exercise, this session positions it as an operational imperative for the agentic economy.

The conversation addresses the hard truth: without intelligent coordination, autonomous systems will amplify waste and strain planetary limits. With the right design, however, agentic AI can become a force multiplier for efficiency, accountability, and long-term resilience.

Focus Areas:

• Energy and compute demand in the agentic era

• Data centers, power grids, and infrastructure strain

• AI-driven optimization and efficiency at scale

• Sustainability as a systems and governance problem

• Aligning growth with planetary constraints

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While advanced AI strains global infrastructure, it also holds unprecedented potential to expand opportunity for those historically left behind. In Earth AI — Part II, apl.de.ap shifts the focus from systems to people—examining how AI can be designed to serve human dignity, economic inclusion, and resilience.

Drawing from real-world work in agriculture, education, and underserved communities, this session explores how accessible, voice-enabled, and locally grounded AI tools can empower individuals and communities—particularly in developing economies. This is a conversation about who benefits from the agentic era, and whether intelligence becomes a force for equity or exclusion.

Focus:

• Democratizing access to AI

• Economic empowerment through intelligent tools

• AI designed for real human contexts

• Inclusion as a design and leadership choice

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The final chapter of Earth AI turns outward to the land, the climate, and the future of food systems. Led by Earth Sama, this session explores how AI can restore ecosystems, improve agricultural productivity, and support climate resilience through smarter land use and resource management.

From AI-guided intercropping and soil restoration to verifiable data for sustainable investment, this session demonstrates how agentic AI can work with nature rather than against it. The conversation grounds planetary sustainability in practical tools already being deployed—connecting technology to outcomes that matter for food security, climate stability, and long-term economic health.

Focus:

• AI for agriculture and land restoration

• Climate resilience and food security

• Verifiable data for sustainable investment

• Aligning technology with planetary boundaries

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At the intersection of culture, technology, and global influence, will.i.am has long been ahead of the curve—championing innovation not as a novelty, but as a force for education, creativity, and equity. In this live, on-stage interview recorded for the Tomorrow, Today podcast, Shekhar Natarajan sits down with will.i.am for a wide-ranging conversation on the future of AI, creativity, and human potential.

The discussion explores how artificial intelligence is reshaping how we learn, create, and communicate—and why the next phase of AI must be guided by intention, values, and inclusion. From education and youth empowerment to agentic systems and cultural leadership, will.i.am offers a perspective that bridges technology with lived human experience.

Recorded live at AGENTIC AI Davos, this session is not a performance or product talk—it is a conversation about responsibility, imagination, and leadership in an era where intelligent systems increasingly shape our world.

What to Expect:

• AI as a catalyst for creativity and cultural expression

• Education, access, and preparing the next generation

• The role of artists and technologists in shaping the future

• Why intention and values matter in the agentic era

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By invitation, please RSVP on the Luma. 

The Unstoppable Women of AI & Web3 Breakfast convenes a highly curated group of global leaders shaping the future of artificial intelligence, decentralized technologies, and technology policy at the highest levels. Taking place during World Economic Forum week in Davos, this invitation-only gathering honors the 2026 Most Inspirational Women of AI and Web3—women whose decisions, platforms, and leadership are actively influencing markets, institutions, and global governance.

This is a power packed strategic convening—designed to foster meaningful dialogue, trusted relationships, and alignment among women leading the responsible development, deployment, and governance of AI and Web3 technologies. The conversation centers on power, accountability, and long-term impact at a moment when technology decisions made in Davos will reverberate across economies and societies.

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At the technological level, WISeRobot is being designed from the ground up with Post-Quantum Cryptography (PQC) embedded directly into its hardware and software architecture. Secure and post-quantum–ready chips provide cryptographic roots of trust that protect the robot’s identity, communications, decision processes, and software integrity against both classical and future quantum attacks. This ensures that trust, accountability, and privacy are not add-ons, but intrinsic properties of the robot throughout its entire lifecycle.

Beyond security, the project places human values at the center of robotic intelligence. WISeRobot is conceived as a value-aware system in which principles such as dignity, fairness, compassion, justice, transparency, and respect for privacy are translated into concrete technical mechanisms. These include value-aligned datasets, human-in-the-loop and human-in-command training models, explainable decision pathways, and enforceable ethical constraints that guide autonomous behavior in real-world environments.

A key dimension of the WISeRobot Project is verifiable identity and accountability. Each robot is endowed with a secure digital identity, enabling traceability of actions, authenticated interactions with humans and other machines, and compliance with regulatory and ethical frameworks. This identity framework ensures that responsibility remains clearly attributable and that human oversight is preserved at all times.

The project also serves as a living laboratory for governance and policy innovation. WISeRobot is designed to support emerging international standards and regulatory approaches for trustworthy AI and robotics, aligning with global efforts such as the HUMAN-AI-T initiative to establish an ethical “constitution for AI” rooted in centuries of human wisdom and universal values.

Ultimately, the WISeRobot Project aims to demonstrate that the future of robotics does not have to choose between performance and principles. By combining post-quantum security, secure digital identity, and value-centric AI, WISeRobot seeks to set a global reference for how intelligent robots can be powerful, resilient, and economically valuable—while remaining fundamentally human-aligned, trustworthy, and respectful of human dignity.