Two senior researchers closely associated with Google DeepMind’s Gemini program are preparing to join rival AI lab Anthropic, according to Bloomberg reporting, citing people familiar with the matter.
The individuals, Jonas Adler and Alexander Pritzel, are both considered significant contributors within DeepMind’s model development efforts. Adler has worked on AI coding systems, while Pritzel has focused on pretraining, the foundational stage where large models learn from vast datasets to develop general capabilities.
A separate departure adds further weight to the trend. John Jumper, who shared the 2024 Nobel Prize in Chemistry for AlphaFold, is also reported to be leaving Google DeepMind after nearly nine years to join Anthropic, underscoring the scale of talent movement at the top of the field.
Taken together, the exits reflect a broader pattern of mobility across frontier AI labs, where leading researchers increasingly shift between organizations shaping the next generation of foundation models.
High-Profile Exits Deepen Scrutiny of DeepMind’s Talent Retention
The reported departures come amid a series of notable exits from Google’s AI divisions, particularly within teams responsible for landmark machine learning breakthroughs.
Among the most prominent was Noam Shazeer, a senior engineering figure and co-author of the influential “Attention Is All You Need” paper, who left to join OpenAI. His exit was widely interpreted as symbolically significant, given his role in developing the transformer architecture that underpins most modern large language models.
Jumper’s move has drawn even greater attention due to his scientific credentials and impact. As a key contributor to AlphaFold, his work helped solve one of biology’s long-standing challenges: protein structure prediction. His departure, following years of recognition at DeepMind, has intensified discussion around retention at the organization.
The broader impact has also been felt in financial markets. Alphabet Inc. experienced a sharp decline in market value following news of senior exits, reflecting investor sensitivity to perceived shifts in leadership and research momentum within its AI division.
While Alphabet Inc. continues to maintain one of the most advanced and well-funded AI infrastructures globally, repeated high-profile departures are increasingly being viewed as part of a more structural pattern rather than isolated incidents.
AI Competition Tightens as Anthropic and Rivals Accelerate Hiring
The movement of researchers between leading AI labs reflects a broader intensification of competition across the sector. What was once seen as a relatively clear lead held by OpenAI has evolved into a far more contested and dynamic landscape.
Major technology companies, including Microsoft and Google, have invested heavily in AI infrastructure, model training, and recruitment, spending billions to secure long-term positioning in foundation model development. These investments extend beyond compute resources into aggressive hiring strategies aimed at attracting researchers at the frontier of capability development.
