Generative artificial intelligence (GAI) has emerged as a pivotal technology for content generation, reasoning, and decision-making, making it a promising solution on the 6G stage characterized by openness, connected intelligence, and service democratization. This article explores strategies for integrating and monetizing GAI within future open 6G networks, mainly from the perspectives of mobile network operators (MNOs). We propose a novel API-centric telecoms GAI marketplace platform, designed to serve as a central hub for deploying, managing, and monetizing diverse GAI services directly within the network. This platform underpins a flexible and interoperable ecosystem, enhances service delivery, and facilitates seamless integration of GAI capabilities across various network segments, thereby enabling new revenue streams through customer-centric generative services. Results from experimental evaluation in an end-to-end Open RAN testbed, show the latency benefits of this platform for local large language model (LLM) deployment, by comparing token timing for various generated lengths with cloud-based general-purpose LLMs. Lastly, the article discusses key considerations for implementing the GAI marketplace within 6G networks, including monetization strategy, regulatory, management, and service platform aspects.

翻译：生成式人工智能已成为内容生成、推理与决策的关键技术，使其在具有开放性、连接智能与服务民主化特征的6G舞台上成为前景广阔的解决方案。本文主要从移动网络运营商的角度，探讨在未来开放6G网络中集成与货币化生成式人工智能的策略。我们提出了一种新颖的以API为中心的电信生成式人工智能市场平台，旨在作为在网络内部直接部署、管理和货币化多样化生成式人工智能服务的中心枢纽。该平台支撑着灵活且可互操作的生态系统，增强服务交付能力，促进生成式人工智能功能在不同网络环节的无缝集成，从而通过以客户为中心的生成式服务开辟新的收入来源。在端到端开放无线接入网测试平台中的实验评估结果表明，通过比较不同生成长度下本地大型语言模型与基于云的通用大型语言模型的令牌生成时序，该平台在本地大型语言模型部署方面具有延迟优势。最后，本文讨论了在6G网络中实施生成式人工智能市场平台的关键考量，包括货币化策略、监管、管理及服务平台等方面。