# Noam Shazeer, Google Gemini Co-Lead and Transformer Co-Author, Joins OpenAI

> Source: <https://www.narracomm.com/noam-shazeer-google-gemini-co-lead-and-transformer-co-author-joins-openai/>
> Published: 2026-06-18 17:45:42+00:00

# Noam Shazeer, Google Gemini Co-Lead and Transformer Co-Author, Joins OpenAI

Noam Shazeer, vice president of engineering at Google and co-lead of its Gemini AI models, announced on X that he is leaving Google to join OpenAI.

In his post, Shazeer [wrote](https://x.com/NoamShazeer/status/2067400851438932297):

“I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there. It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to work with all of you.”

The move comes less than two years after Google brought Shazeer back in August 2024 as part of a reported $2.7 billion deal that also included licensing technology and bringing over a team of researchers from Character.AI, the startup he co-founded after previously leaving Google in 2021.

### Background and Role

As reported by Reuters, Shazeer [joined](https://www.reuters.com/technology/googles-gemini-co-lead-noam-shazeer-join-openai-2026-06-18/) Google in 2000. He is a co-author of the seminal 2017 “Attention Is All You Need” paper that introduced the transformer architecture and helped catalyze the current AI boom. At Google, he was appointed co-lead of Gemini development in 2024 and has been credited as a key figure in helping Gemini close the performance gap with OpenAI’s ChatGPT.

The departure underscores the ongoing high-stakes talent competition among frontier AI labs as companies race to advance model capabilities.

### Actions to Take

**Talent and org watchers at frontier labs and AI-native companies**: Track follow-on moves from the Gemini team. Shazeer’s exit as co-lead of a major model effort often precedes additional researcher or engineering departures in these environments.

**Enterprise AI strategy teams**: Re-evaluate reliance on any single lab’s model roadmap. A high-profile architecture lead move like this can accelerate internal debates about multi-model strategies or building more proprietary scaffolding around base models.

**Investors and acquirers evaluating AI talent moats**: Factor the $2.7B Character.AI return cost into retention math. Short tenure at this level (under two years post-return) highlights how expensive and fragile top-tier model architecture talent remains.

**Compute allocation and roadmap planners**: Watch for any public signals on whether Shazeer’s new role at OpenAI involves architecture or pre-training leadership. Such moves frequently correlate with shifts in training cluster priorities or new model family direction at the destination lab.

**Competitive intelligence teams**: Monitor OpenAI’s next model releases and technical reports for any architectural or scaling innovations that align with Shazeer’s known areas of expertise (transformers, mixture-of-experts, efficient architectures).

This is one of the more significant single-researcher moves in the current cycle given Shazeer’s foundational contributions and recent role running one of Google’s flagship model efforts.