Presentations in this session:

• Presentation by Jogi Poikola, Lead Specialist in Data Economy, Technology Industries of Finland

From Intention Economy to Agentic AI: The Historical Roots of Personal AI Agents
This presentation will trace the conceptual and historical evolution of personal AI agents, providing the MyData community with a shared narrative arc that contextualizes today’s emerging technologies. Starting from the late 1990s, we’ll explore foundational ideas like the intention economy, event relationship management, and self-sovereign identity — each a building block in the journey toward today’s personal AI agents. Participants will gain insight into how these movements envisioned more autonomous, empowered digital selves long before today’s AI hype. We’ll reflect on early thinkers and overlooked milestones that shaped the current wave of interest in agentic, privacy-aware digital tools. By revisiting the roots of these ideas, the session invites critical engagement with the current hype: What’s genuinely new? What lessons have we forgotten? How can we ensure continuity of values—such as human agency, transparency, and interoperability—as we design the next generation of personal AI agents? Attendees will leave with a richer understanding of the intellectual lineage behind personal agents and how this history connects with MyData principles. The talk will be particularly valuable to those building, regulating, or advocating for ethical personal AI, offering a conceptual toolkit to navigate this fast-evolving space with intention and perspective. This is the first of two consecutive talks. The second, by Phil P J Łaszkowicz⁩, will focus on the current technological implementations and real-world applications in domains like the automotive sector.

• Presentation by P J Łaszkowicz, Director of Technology Strategy, Omnifi Foundation

Through the exploration of several case studies, this presentation will discuss the future of private data spaces, combining agentic wallets with agentic AI-enabled services within the automotive industry. Using privacy-enhancing technologies (PETs), across distributed, self-sovereign, and interoperable data spaces we will showcase emerging and autonomous interactions built on contextual and anticipatory capabilities only possible through personal, local, and sustainable AI models trained for the individual, providing unparallel privacy enhancements by reducing the need for data access, transmission, or transfer. This model is an enabler for greater opportunities for personalized experiences, and smarter service integrations without the privacy, compliance, and regulation risks in traditional closed ecosystems. The presentation will focus on 3-specific cases and discuss how this adaptive agentic wallet will provide a benchmark for human-centric, sustainable AI.