A private forum examining how artificial intelligence is reshaping power, decision-making, and the systems that define modern life.
Artificial intelligence has moved beyond novelty and into infrastructure. At scale, intelligence is no longer a feature but an environment shaping decisions, institutions, markets, and human behavior itself. Techonomy 26 explores how this pervasive layer of machine intelligence is redefining power, redistributing agency, and forcing a rethinking of trust across every system we rely on.
About the Event
Techonomy 26 convenes leaders operating at the intersection of technology, business, policy, and culture to examine what happens when intelligence becomes ambient. The rapid deployment of generative systems, autonomous agents, and AI-driven decision frameworks has created a new operating reality, one where human judgment is increasingly augmented, mediated, or replaced. This shift is not theoretical. It is actively reshaping industries, institutions, and geopolitical dynamics.
The event focuses on second-order effects. Beyond productivity gains and automation efficiencies, we will interrogate how AI systems influence power concentration, economic distribution, and institutional legitimacy. As organizations embed intelligence into workflows and products, they inherit new responsibilities: ensuring transparency, mitigating systemic bias, maintaining accountability, and preserving human intent in increasingly opaque systems.
Techonomy 26 is designed as a working forum rather than a passive conference. Through structured conversations, off-the-record sessions, and cross-sector collaboration, participants will engage in practical dialogue about building resilient, trustworthy, and adaptive systems. The emphasis is on actionable insight: how to operate, lead, and innovate in a world where intelligence is continuous, distributed, and deeply consequential.
Who Should Attend
CEOs, COOs, CTOs, and business unit leaders deploying AI at scale
Builders creating products and companies defined by machine intelligence
Venture, private equity, and institutional capital shaping the AI landscape
Government leaders designing frameworks for emerging technologies
Engineers and architects working on AI systems, infrastructure, and safety
Leaders defining human-AI interaction and user experience
Oversight roles managing risk, governance, and strategy
Specialists in cybersecurity, data integrity, and system resilience
Experts analyzing workforce and market transformation
Potential Topics
- AI as Infrastructure: Who Owns the Intelligence Layer?
- The New Power Brokers: Inside the Age of Foundation Models
- Designing Trust: Building Systems People Actually Believe
- When Agents Go to Work: Managing Autonomous Decision-Makers
- Who Captures the Value? The Economics of Intelligence at Scale
- Beyond Compliance: What Real AI Governance Looks Like
- Open vs. Closed: The Strategic Divide Shaping AI’s Future
- The End of Reality as We Knew It: Truth in the Synthetic Era
- Human in the Loop or Out of It? Rethinking Control and Oversight
- From Tools to Teammates: Redefining Human-AI Collaboration
- The AI-Native Enterprise: Rebuilding the Operating Model
- Who Owns the Data? Provenance, Rights, and New Market Structures
- Security in an AI World: Defending Against Intelligent Threats
- The Global AI Race: Strategy, Sovereignty, and Supply Chains
- Can We Measure Alignment? Turning Theory into Practice
Previous Speakers