Anthropic published a task-level study estimating that current robots can technically perform 74% of physical tasks representing 34% of work hours, mostly in controlled settings, while only 0.3% of hours appear cost-competitive. Claude helped classify tasks and locate evidence.
Why it matters: Separating technical feasibility from economic viability produces a more useful automation signal than mapping occupations directly to model capability.
Google reached the stated shutdown date for `gemini-robotics-er-1.6-preview` in the Gemini API. The current developer route is Gemini Robotics ER 2 preview, available in standard and streaming forms with multimodal input and function calling for physical robot actions.
Why it matters: A retired embodied-reasoning endpoint can break robot workflows, while migrating to a newer preview can change action planning, tool calls, streaming, latency, safety behavior, schemas, and operational limits.
Unitree opened subscriptions for a Shanghai offering priced at 150.8 yuan per share, targeting about 6.1 billion yuan and the first mainland listing by a humanoid-robot maker.
Why it matters: The offering converts humanoid robotics from venture financing into a public-market capacity test with disclosed revenue, profit, and demand concentration.
Google DeepMind introduced Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, separating embodied reasoning from vision-language-action execution and supporting tool use and cross-robot transfer.
Why it matters: Robotics systems were adopting an agent architecture: one model reasons about a scene and calls tools while another turns plans into physical actions.