In the United States, Google has been developing the Gemini 3.5 Pro model, which was initially expected to launch in June 2026. The company announced at its I/O event in May that the model was already being utilized internally, indicating a level of confidence in its capabilities. However, recent reports from Bloomberg reveal that the rollout has been postponed due to the technology falling short of internal performance goals. This delay raises questions about the readiness of the model and the challenges Google faces in enhancing its coding skills, which have been a focus of the development process. The implications of this delay could affect Google's competitive position in the AI market, as other companies continue to advance their technologies. Stakeholders and users alike are left waiting for updates on the new model's capabilities and release timeline, as the anticipation builds around its potential features and improvements over previous versions. The situation highlights the complexities involved in AI development and the pressures companies face to deliver innovative solutions that meet high expectations.