Google is facing a growing backlash from its own AI researchers over the company's military contracts, with several staff members resigning from Google DeepMind in recent weeks, the BBC reported on October 21, 2026. The broadcaster spoke to multiple current and former employees who have either recently quit or are in the process of leaving over concerns about how Google's AI technology is being deployed for the US military.
The Intercept published its own report on the same day, headlined "Google DeepMind Engineer Resigns in Protest of Pentagon Contract," confirming that the departures are directly tied to the company's defense work. For more context on this story, see our ongoing AI news.
"Ashamed to Work at Google": The Resignations
Sofia Liguori, a London-based research engineer who spent three years at Google DeepMind, resigned this week and spoke to the BBC despite a contract that restricts her from doing so. "Realising my company is pushing more and more for AI systems in military operations makes me feel ashamed to work at Google," Liguori said, speaking in a personal capacity.
She said she decided to leave over Google's increasing work with the US and Israeli militaries. "I don't agree with this direction and this has led me to lose faith in my company being true to its stated ethical values," she told the BBC.
Andreas Kirsch, an AI researcher who resigned from Google DeepMind earlier this month, went further, telling the broadcaster that "Google's governance and oversight are not sufficient or meaningful enough to deploy AI safely and responsibly in military and classified settings" — or, in his view, "to develop artificial superintelligence safely in the future."
"Google seems to have no right to control or veto how the Pentagon uses its AI and also seems to have limited visibility into how it's being deployed," Kirsch said.
What the Pentagon Contracts Actually Allow
The discontent centers on contracts Google and several other AI companies signed earlier this year to deploy AI technology across classified US military environments. According to the BBC, Google's agreement permits its models to be used for "any lawful government purpose," while stating the technology "should not be used for domestic mass surveillance or autonomous weapons (including target selection) without appropriate human oversight and control."
Similar contracts have been signed by OpenAI, Amazon, Microsoft, SpaceX, Oracle, Nvidia and the startup Reflection, covering military settings ranging from transport and planning to battlefield operations.
The push is being driven from the top. US Defence Secretary Pete Hegseth said in January that the United States "will become an 'AI-first' warfighting force," and has made integrating AI into the armed forces a key priority of the Trump administration's defense policy.
Maven, Palantir and the Speed Problem
The most prominent example of military AI deployment is Maven Smart Systems, the Pentagon's main software platform for organizing intelligence and data. Developed by defense company Palantir, it uses AI to help personnel select and identify targets to strike, and has integrated technology from several leading AI companies.
Retired Lieutenant General Jack Shanahan, the former director of Project Maven, told the BBC that the prevailing "philosophy" appears to be: "Go as fast as possible to deploy [AI technology] as widely as possible, potentially at the expense of the rigour and discipline of test and evaluation."
The Pentagon's position is that speed is the point. "Speed defines victory in the AI era," Emil Michael, an under secretary in the US Department of Defense, said in a statement earlier this year.
Critics argue that the technology is evolving faster than the safeguards around it. "AI compresses the time an operator has to make a decision because it works much faster than a person, and that's especially risky in a high-stress environment," said Sarah Shoker, formerly head of OpenAI's Geopolitics team, in comments to the BBC. "When you have hundreds of targets that are selected by AI and a short amount of time, it is almost impossible for a human operator to meaningfully review the AI's outputs for errors."
Google's Response
A Google spokesperson told the BBC: "We work with public sector organisations worldwide and follow a consistent process for reviewing and entering these contracts, including compliance with our acceptable use policies and AI principles."
The company added that it maintains "dedicated channels for employees to safely raise any concerns — ranging from business ethics to misconduct" and has "strict workplace policies in place to prevent retaliation of any kind."
Google's published AI Principles commit the company to implementing AI with "human oversight" and aligning the technology with "international law and human rights" — the very standards the resigning employees say are not being met in practice.
A Culture Clash With No Easy Exit
The BBC's reporting also surfaced the personal cost of speaking out. Employees said staff are scared to publicly criticize Google's AI safety record because employment contracts prohibit it. "In principle I'm not allowed to criticise Google for the duration of my life," Liguori said, explaining that she spoke anyway because "talking about facts is not criticising."
"People are scared of retaliation and putting their career at risk. You feel you are being watched, you can't speak," she added.
A current Google DeepMind employee, who declined to be named for fear of retaliation, told the BBC that "a lot of motivated employees who signed up for [the company's] original mission could leave" — though the company retains a pipeline of early-career researchers to replace them.
The resignations are the most visible sign yet of the tension between Big Tech's pursuit of government AI contracts and the values of the researchers those contracts depend on. With the Pentagon signaling that AI adoption will only accelerate, and employees increasingly willing to accept legal risk to speak out, the standoff inside Google DeepMind is unlikely to end with these departures.
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