Google is facing an exodus of artificial intelligence talent and declining employee morale that have delayed the release of Gemini 3.5 Pro.
These internal struggles threaten Google's position in the competitive AI race. As rival firms aggressively recruit specialists, the loss of key researchers from Google's primary AI labs could hinder the company's ability to iterate on its flagship models.
Reports indicate that the delays are centered within Google’s AI labs, including DeepMind [2]. The attrition is attributed to low morale among staff and intensifying internal competition [2]. These factors have created an environment where project timelines are slipping.
Six current and former DeepMind employees said morale is low within the organization [2]. This sentiment reflects a broader struggle to maintain stability as the company attempts to integrate its various AI research arms.
The talent loss is not merely a staffing issue but a systemic problem involving how the company manages its top researchers. The friction between different internal teams has reportedly contributed to the slow pace of development for the Gemini series [2].
Google has not provided a specific new release date for Gemini 3.5 Pro. The company continues to navigate the tension between its corporate structure and the fast-paced requirements of generative AI development [1, 2].
“Google is facing an exodus of artificial intelligence talent and declining employee morale.”
The reported instability at DeepMind suggests that technical superiority is not the only hurdle for AI leaders; organizational culture and talent retention are now critical bottlenecks. If Google cannot stabilize its workforce, it risks falling behind competitors who can deploy model updates more rapidly.
