Google has delayed the launch of its Gemini 3.5 Pro AI model after the technology failed to meet internal performance goals [1].
The delay signals a potential struggle for Alphabet to keep pace with competitors in the generative AI race, specifically regarding complex technical tasks. As coding capabilities become a primary battleground for AI dominance, any gap in performance could impact developer adoption and enterprise trust.
According to reports, the Gemini 3.5 Pro model is months behind schedule [1]. The setback stems from the system's coding capabilities, which fell short of internal goals [2]. This failure prompted the company to allocate extra development time to refine the model's output.
CEO Sundar Pichai said the launch was slated for June 2024 [3]. The shift in timeline suggests that the gap between the current build and the desired performance was wider than initially anticipated.
Market reaction to the news was immediate. Alphabet shares fell on Thursday afternoon following the Bloomberg report [4]. Reports on the exact magnitude of the decline varied, with some sources citing a 2.3% drop [4], and others reporting a decline of four percent [3].
Google has not provided a new specific release date, but the company continues to iterate on the model to ensure it meets the required standards for professional coding assistance [2].
“Google is months behind schedule on the release of Gemini 3.5 Pro”
This delay highlights the increasing difficulty AI labs face in achieving reliable, high-level reasoning and coding proficiency. By prioritizing internal quality benchmarks over a June deadline, Google is attempting to avoid a public failure, but the resulting stock volatility shows that investors are sensitive to any perceived lag in Alphabet's AI trajectory compared to its rivals.
