Competition regulators have proposed preemptive regulatory approaches toward the generative artificial intelligence (AI) ecosystem, with a focus on partnerships, investments, and other relationships involving technology platforms and independent developers of foundation models and large language models. Detailed factual examination of platform/developer relationships in the generative AI ecosystem shows that these arrangements most likely implement an efficient division of labor between platforms, which specialize in the supply of financial capital and computing infrastructure, and model and applications developers, which specialize in the supply of innovation expertise. Developers typically enter into non-exclusive relationships with multiple platforms, which diminishes anticompetitive risks arising from potential foreclosure effects while generating procompetitive gains arising from scale economies and reduced cost of capital. Moreover, large platforms are exposed to significant competition both at the “ecosystem” level from other large platforms that may have comparable economies of scope across each segment of the AI stack and specialized developers that have differentiated capacities in a particular segment of the AI stack. While there is little basis for antitrust intervention at this stage in the development of the generative AI ecosystem, there is considerable basis for enhanced enforcement of intellectual property rights to address a potential market failure in supporting financing, production, and licensing structures for higher-value creative content in AI-enabled digital environments.
Tuesday, March 31, 2026