| Title: |
Agentic AI Platform Networks |
| Authors: |
Schmidt, Rainer; Alt, Rainer; Zimmermann, Alfred |
| Publication Year: |
2026 |
| Collection: |
ScholarSpace at University of Hawaii at Manoa |
| Subject Terms: |
AI Ecosystems: Assistants; Agents and Platforms; agentic ai; ecosystem architecture; interoperability; platform networks; platform theory |
| Description: |
Agentic AI is a recent development in artificial intelligence (AI) technologies that is capable of automating task execution and decision-making. In the context of platforms, they provide novel approaches in interconnecting platforms. This enhances the traditional hub-and-spoke architecture of multi-sided platforms and leads to the formation of networks of platforms. This research analyzes four major AI platforms and identifies three distinct integration patterns: isolated architecture (Alexa), mediated integration (ChatGPT), and protocol-based networking (Claude/Gemini). The findings reveal that integration-centric architectures demonstrate higher cross-platform connectivity than traditional, interconnection approaches . They extend platform theory by introducing network orchestration as a new competitive strategy and provide empirical evidence of an emerging paradigm shift from platform competition to interconnection. |
| Document Type: |
conference object |
| File Description: |
10 pages; application/pdf |
| Language: |
English |
| Relation: |
Proceedings of the 59th Hawaii International Conference on System Sciences; https://hdl.handle.net/10125/111882 |
| Availability: |
https://hdl.handle.net/10125/111882 |
| Rights: |
Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Accession Number: |
edsbas.805FF7C7 |
| Database: |
BASE |