A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing…
— John Jumper (@JohnJumperSci) June 19, 2026
John Jumper announced that he has decided to leave Google DeepMind and join Anthropic. Jumper said he will take time to recharge before starting his new role at Anthropic.
The move marks a notable AI talent shift from Google DeepMind to Anthropic, as leading AI labs continue competing for researchers with experience building high-impact scientific and machine learning systems.
Jumper spent nearly nine years at Google DeepMind, where his work became closely associated with major advances in applying AI to scientific discovery.
During his time at Google DeepMind, Jumper led the AlphaFold team, which became one of the organization’s most important scientific AI efforts. AlphaFold helped demonstrate how AI could be used to address complex biological problems and accelerate research in areas such as protein structure prediction.
In his announcement, Jumper expressed gratitude for his time at Google DeepMind and credited Demis Hassabis for giving him the opportunity to lead the AlphaFold team just six months after finishing his PhD.
Jumper said the Google DeepMind team taught him a great deal about how to conduct great science and described the organization as a special place.
He also said he remains excited to see what Google DeepMind discovers next, highlighting the respect he continues to have for the team and its scientific mission.
For Anthropic, Jumper’s arrival adds a researcher with deep experience at the intersection of artificial intelligence, scientific discovery, and large-scale research leadership. His move also underscores the growing overlap between frontier AI development and scientific applications, as AI companies increasingly look to apply advanced models to complex real-world research challenges.
