OpenAI holds a slight 56% edge in the market because its September 6 disclosures, including chief scientist Jakub Pachocki’s essay and confirmation of an automated research intern milestone, positioned the lab as actively steering research toward recursive self-improvement in large language models. Internal metrics showed agent runtime surpassing human effort in research workflows, with explicit goals for an automated AI researcher by March 2028. Anthropic has reported substantial Claude-driven code generation and research acceleration since mid-2026, yet its September Opus 5.5 system card found the model well below both arms of its automated AI R&D threshold. Recent public calls from both labs for third-party evaluators and pacing mechanisms underscore shared safety concerns without evidence that either has crossed into full autonomous successor design. Key near-term catalysts include further model evaluations and any shifts in reported R&D automation rates.