Roughly 600 Google employees have signed an open letter to CEO Sundar Pichai asking him to refuse to make Gemini available for classified U.S. Defense Department workloads. The letter, surfaced in reports on April 27 and circulating publicly through April 28, was signed by staff across Google DeepMind, Google Cloud, and other divisions. It cites lethal autonomous weapons and mass surveillance as specific concerns and argues that classified deployments are by definition opaque to public scrutiny.
The pressure point is real. Google is in active negotiations with the Pentagon over Gemini in classified settings, and the company already supplies cloud capacity to the U.S. military through programs like the Joint Warfighting Cloud Capability. The letter does not call for Google to leave defense work entirely — it asks for a line at classified workloads, where employees say there is no way to verify the model is not used for profiling or targeting.
This is the second internal revolt at Google over military AI. The 2018 Project Maven protests forced the company to drop a Pentagon image-analysis contract and to publish AI principles that briefly excluded weapons applications. Those exclusions have since softened, and Anthropic was reportedly dropped from a Defense contract earlier this year for asking for similar restrictions — a signal that the Pentagon is now willing to walk away from suppliers who try to scope out classified use.
Takeaway for learners: AI ethics is not just a research-paper topic. It is increasingly a labor question — what engineers will and will not build — and a procurement question — what governments are willing to pay for. If you work in AI, the contract terms attached to a model often constrain its real-world impact more than its training data does.