FT: Agentic AI PART I — FORESIGHT SNAPSHOT  |  FT: Agentic AI  |  Fixed Time-Stamped Synthesis 2026 FT: Agentic AI Card Type Future Technology Possibility Series Immersive Futures Guild — Vision 2035 Layer 1 — Atomic Foresight Object Status Active Confidence Medium Workshop Circle of Scholars — January 2026 Facilitator Circle of Scholars Workshop Team Tags agentic-AI  |  autonomy  |  pedagogy  |  layer1  |  ft Tally.so Form https://tally.so/r/ilrn-if-ft-agentai-2026 Agentic AI systems capable of planning multi-step actions, pursuing goals across time, and operating with minimal human oversight are moving from laboratory research into deployed applications. In immersive learning, agentic AI raises questions about who controls the trajectory of a learning experience, how agency is shared between learner, educator, and system, and what happens when learning agents pursue optimization targets that do not align with human educational values. Key Drivers / Contributing Conditions: AI capability scaling enabling multi-step goal pursuit Commercial deployment of agentic systems in consumer and enterprise contexts Research on AI-assisted learning path generation and adaptive scaffolding Tensions Carried Forward to Part II: Who is accountable when an agentic AI system makes a pedagogically harmful decision? Can learner agency be preserved in an environment where AI agents are continuously optimizing? Linked Scenarios / Strands: SC: Responsible AI | SCENARIO: Open Human Agency | STRAND: Human-Centered AI + XR Ways of Knowing: Tree  ·  Garden  ·  Lantern PART II — COMMUNITY EVIDENCE & DIALOGUE TRACK  |  FT: Agentic AI  |  H2 2026 — Living T COMMUNITY CONTRIBUTION FORM  —  FT: Agentic AI Submit case examples, methodological challenges, cultural perspectives, and proposed evidence criteria via: https://tally.so/r/ilrn-if-ft-agentai-2026 Part II — Scope and Instructions This section collects community responses, case examples, and challenges to the Part I foresight snapshot above. It opens July 1, 2026 and undergoes synthesis review in September 2026, November 2026, and January 2027. Contributions are submitted via the Tally.so form above and appear in the registers below after editorial review. The Part I text is not modified in response to Part II contributions; it is versioned at the Annual Handoff review. Contribution categories:  Case Example  |  Methodological Challenge  |  Cultural/Community Perspective  |  Proposed Evidence Criterion Ways of Knowing accepted:  Tree (evidence)  |  Garden (practice)  |  Lantern (futures) Tensions Open for Community Response: Who is accountable when an agentic AI system makes a pedagogically harmful decision? Can learner agency be preserved in an environment where AI agents are continuously optimizing? Contributor / Date Category Way of Knowing Contribution Summary [ Awaiting contributions — form opens July 1, 2026 ]