Nick Jennings - The Past, Present and Future of Agentic AI
Paraphrased citation dossier for Nick Jennings' IJCAI 2026 lecture tracing agentic AI from earlier multi-agent systems to present large-scale agent ecosystems and future social intelligence.
Built from the IJCAI-linked SlidesLive caption track and official IJCAI invited-talk metadata.
Transcribed and published by Longscribe. Editorial policy.
Jennings uses the IJCAI Research Excellence Award lecture to connect today's agentic-AI boom with older multi-agent systems research. The through-line is that agency becomes more useful when systems can coordinate, negotiate and make collective decisions. Source · 00:00
Key facts
- IJCAI context
- IJCAI lists Jennings as the 2026 Research Excellence Award speaker for The Past, Present and Future of Agentic AI. Source · 00:00
- Future frontier
- The official abstract and lecture emphasize social dimensions of intelligence, including cooperation, coordination, negotiation and collective decision-making. Source · 39:14
Past to present
The lecture positions agentic AI as a continuation of multi-agent-system work rather than a wholly new category. That framing makes the current boom legible through decades of research on interacting agents.
Key timestamped claims
Each claim is an original Longscribe summary anchored to the moment(s) in the recording where it is supported; follow a timestamp to verify it in the source video.
00:00Jennings opens by treating agentic AI, multi-agent systems and agent-based computing as closely related ideas now at peak attention.
08:00The lecture connects present agentic systems to earlier multi-agent-system foundations, including cooperation, coordination and negotiation.
40:00Looking forward, Jennings argues that social dimensions of intelligence are a major frontier for agentic AI systems.
Source & methodology
Source artifact docs/ops/curated-transcript-sources/ijcai-2026-nick-jennings-agentic-ai.json was generated from the English VTT captions on the IJCAI-linked SlidesLive recording. Coverage manifest ijcai-2026-nick-jennings-agentic-ai.coverage.json accounts for captured source segments.
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