Google signs classified AI deal with Pentagon for “any lawful purpose” while quietly exiting $100M drone swarm contest


TL;DR

Google signed a classified AI deal with the Pentagon for “any lawful government purpose” one day after 580+ employees urged Pichai to refuse. The contract includes advisory guardrails (no mass surveillance, no autonomous weapons without human oversight) but the government can request adjustments to safety settings. On the same day, Bloomberg revealed Google quietly dropped out of a $100M drone swarm contest in February after an internal ethics review. Google is drawing a line between selling general-purpose AI access and building specific weapons, but on classified networks, the distinction may be meaningless.

Google has signed a deal allowing the Pentagon to use its Gemini AI models for classified military work under terms that permit “any lawful government purpose,” the company confirmed on Tuesday, one day after more than 580 Google employees signed a letter urging CEO Sundar Pichai to refuse exactly this kind of arrangement. The agreement provides the Department of Defence with API access to Google’s AI systems on classified networks, extending a relationship that already includes Gemini deployment to three million Pentagon personnel on unclassified systems. The contract includes language stating that “the AI System is not intended for, and should not be used for, domestic mass surveillance or autonomous weapons (including target selection) without appropriate human oversight and control.” On the same day, Bloomberg separately reported that Google had quietly dropped out of a $100 million Pentagon prize challenge to create technology for voice-controlled autonomous drone swarms, withdrawing in February after an internal ethics review despite having advanced in the competition. The company officially cited a lack of “resourcing.” Google is drawing a line, but it is not the line its employees asked for.

The deal

The classified AI agreement is structured as an extension of Google’s existing Pentagon contract, providing API access rather than custom model development or bespoke military applications. A Google Public Sector representative confirmed the arrangement. The Pentagon can connect directly to Google’s software on classified networks, the air-gapped systems isolated from the public internet that handle mission planning, intelligence analysis, and weapons targeting. The “any lawful government purpose” language places Google alongside OpenAI and Elon Musk’s xAI, both of which have signed their own classified AI agreements with the Pentagon. The government can request adjustments to Google’s AI safety settings and content filters, a provision that effectively gives the Pentagon the ability to modify the guardrails that Google’s own researchers built into the models.

The nominal restrictions, no mass surveillance, no autonomous weapons without human oversight, echo the red lines that OpenAI negotiated in its own Pentagon deal. But the enforcement mechanism is the same one that Google’s employees identified as insufficient in their letter: on air-gapped classified networks, Google cannot see what queries are being run, what outputs are being generated, or what decisions are being made with those outputs. The “should not be used for” language is advisory, not contractual prohibition, and “appropriate human oversight and control” is undefined. The employees wrote that “the only way to guarantee that Google does not become associated with such harms is to reject any classified workloads.” Google chose to accept them with language that the employees had already argued was unenforceable. Pichai opened Cloud Next 2026 touting 750 million Gemini users and a $240 billion backlog. The same Gemini infrastructure that serves those users is now being extended to classified military networks where no one outside the Pentagon can monitor its use.

The withdrawal

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The drone swarm exit is the other half of the story. Google advanced in a $100 million Pentagon prize challenge to create technology that would allow commanders to direct autonomous drone swarms using voice commands, converting spoken words like “left” into digital instructions sent to the drones. The company notified the government on February 11, 2026, that it would not participate further. Officially, Google cited a lack of resourcing. According to records reviewed by Bloomberg, the decision followed an internal ethics review. The withdrawal echoes Project Maven in 2018, when roughly 4,000 Google employees signed a petition over AI analysis of drone video feeds, and Google let the contract expire. Palantir took it over. The Maven contract was worth a few million dollars. Palantir’s Maven investment has since grown to $13 billion.

The juxtaposition is revealing. On the same day that Google confirmed a deal giving the Pentagon classified access to Gemini for “any lawful government purpose,” the company also revealed it had walked away from a programme that would have used its AI to control autonomous drone swarms. Google is willing to put its most powerful AI models on classified networks where it cannot monitor their use, but it is not willing to build voice-controlled drone swarms. The distinction matters to Google’s internal ethics apparatus: API access to general-purpose models is one step removed from weapons applications, even if the models will be used on networks that handle weapons targeting. Building technology specifically designed to command drone swarms is a direct weapons application that the ethics review could not approve. The line Google is drawing is between providing the tools and building the weapons, between selling access and designing lethality. Whether that distinction is meaningful on a classified network where the tools can be applied to any lawful purpose, including the purposes the drone swarm programme was designed to serve, is the question the employees’ letter was designed to answer.

The pattern

Google’s trajectory from Project Maven in 2018 to the classified Gemini deal in 2026 follows a pattern that the employees’ letter described as systematic. In 2018, Google introduced AI principles pledging not to pursue weapons or surveillance technology. In February 2025, Google removed the passage from its principles that excluded weapons and surveillance, citing “a global competition taking place for AI leadership.” In December 2022, Google won a share of the Pentagon’s $9 billion Joint Warfighting Cloud Capability contract. In December 2025, the Pentagon launched GenAI.mil, powered by Google’s Gemini chatbot. In March 2026, Google deployed Gemini AI agents to the Pentagon’s three-million-strong workforce on unclassified systems. In April 2026, Google extended that access to classified networks. Each step was individually defensible. The trajectory is not.

Google is simultaneously investing up to $40 billion in Anthropic, the company that was designated a supply-chain risk and blacklisted by the Trump administration for refusing to remove restrictions on autonomous weapons and mass surveillance from its Pentagon contract. Google is funding the company that refused what Google just accepted, while deploying the models that Anthropic’s restrictions were designed to constrain. Europe’s defence tech sector is building its own military AI capabilities independently, with purpose-specific applications like Helsing’s AI submarine that define their use case in the design rather than leaving it to the user on a classified network. The European approach builds the restriction into the technology. The American approach builds the technology and adds advisory language that the customer can modify. The Pentagon’s fiscal 2027 budget request includes $54.6 billion for the Defence Autonomous Warfare Group within a total defence budget of $1.5 trillion. The classified workloads that Google’s employees objected to sit at the centre of that investment.

The 580 signatures included more than 20 directors, senior directors, and vice presidents, along with senior DeepMind researchers. Two-thirds agreed to be named. A third requested anonymity for fear of retaliation. The letter’s organisers said “Maven is not over. Workers are going to continue organizing against the weaponization of Google’s AI technology until the company draws clear, enforceable lines.” Google drew a line on Tuesday. It drew it between classified AI access and autonomous drone swarms, between selling general-purpose models to the Pentagon and building specific weapons applications. The employees asked for the line to be drawn at classified work itself. Google chose to draw it where the optics of weapons development become undeniable, not where the potential for misuse becomes possible. Google released Gemma 4 under an open Apache 2.0 licence three weeks ago, making its research models freely available to anyone. Its frontier Gemini models now sit behind classified military networks where no external oversight is possible. The company that champions open AI research in public is locking its most powerful technology behind air-gapped walls in private. The employees who signed the letter understood this contradiction before the deal was signed. Google signed it anyway.



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The Samsung Keyboard supports glide typing, voice dictation, multiple languages, and deep customization through Good Lock. On paper, it’s a very capable and perfectly functional keyboard. However, it’s only when I started using it that I realized great features don’t necessarily translate to a great user experience. Here’s every problem I faced with the Samsung Keyboard, and why I’m permanently sticking with Gboard as my main Android keyboard.

I have been using Gboard and the Samsung Keyboard on a recently bought Galaxy S24, which I got at a massive discount.

Google’s voice typing doesn’t cut me off mid-sentence

Fewer corrections, fewer cutoffs, faster dictation

I might be a professional writer, but I hate typing—whether it’s on a physical keyboard or a virtual one. I type slower than I think, which I suspect is true for most people. That becomes a problem when I have multiple ideas in my head and need to get them down fast. It’s happened far too often: I start typing one idea and forget the other. Since jacking my brain into a computer isn’t an option (yet), I’ve been leaning more and more on voice typing as the fastest way to capture my thoughts.

Now, both Samsung Keyboard and Gboard support voice typing, but I’ve noticed that Gboard with Google’s voice engine is just better at transcription accuracy. It picks up on accents flawlessly and manages to output the right words. In my experience, it also seems to have a more up-to-date dictionary. When I mention a proper noun—something recently trending like a video game or a movie name—Samsung’s voice typing fails to catch it, but Google nails it.

That said, you can choose Google as your preferred voice typing engine inside Samsung Keyboard, but it’s a buggy experience. I’ve noticed that the transcription gets cut off while I’m in the middle of talking—even when I haven’t taken a long pause. This can be a real problem when I’m transcribing hands-free.

Gboard offers a more accurate glide typing experience

Google accurately maps my swipe gestures to the right words

Voice typing isn’t always possible, especially when you’re in a crowded place and want to be respectful (or secretive). At times like these, I settle for glide (or swipe) typing. It’s generally much faster than tapping on the keyboard—provided the prediction engine maps your gestures to the right word. If it doesn’t, you have to delete that word, draw that gesture again, or worse—type it out manually.

Now, both Samsung Keyboard and Gboard support glide typing, but I’ve noticed Gboard is far more accurate. That said, when I researched this online, I found a 50-50 divide—some people say Gboard is more accurate, others say Samsung is. I do have a theory on why this happens.

Before my Galaxy S24, I used a Pixel 6a, before that a Xiaomi, and before that a Nokia 6.1 Plus. All of my past smartphones came with Gboard by default. I believe Gboard learned my typing patterns over time—what word correlates to what gesture, which corrections I accept, and which ones I reject. After a decade of building up that prediction model, Gboard knows what I mean when my thumb traces a particular shape. Samsung Keyboard, on the other hand, is starting from zero on this Galaxy S24—leading to all the prediction errors. At least that’s my working theory.

There’s also the argument for muscle memory. While glide typing, you need to hit all the correct keycaps for the prediction engine to work. If you’re even off by a slight amount, the prediction model might think you meant to hit “S” instead of “W.” Now, because of my years of typing on Gboard, it’s likely that my muscle memory is optimized for its specific layout and has trouble adapting to Samsung’s.

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I mix three languages in one message, and Gboard just gets it

Predictive multilingual typing doesn’t get any better than this

I’m trilingual—I speak English, Hindi, and Bengali. When I’m messaging my friends and family, we’re basically code-mixing—jumping between languages in the same sentence using the Latin alphabet. Now, my friends and I have noticed that Gboard handles code-mixing much more seamlessly than Samsung Keyboard.

If you just have the English dictionary enabled, neither keyboard can guess that you’re trying to transliterate a different language into English. It’ll always try to autocorrect everything, which breaks the flow. The only way to fix this is by downloading a transliteration dictionary like Hinglish (Hindi + English) or Bangla (Latin). Both Samsung Keyboard and Gboard support these dictionaries, but the problem with Samsung Keyboard is that it can only use one dictionary at a time.

Let’s say I’m writing something in Latinized Bangla and suddenly drop a Hindi phrase. Samsung Keyboard will attempt to autocorrect those Hindi words. Gboard is more context-aware. Since my Hinglish keyboard is already installed, I don’t have to manually switch to it. Gboard can detect that I’m using a Hindi word even with the English or Bangla keyboard enabled, and it won’t try to autocorrect what I’m writing. This also works flawlessly with glide typing, which is a huge quality-of-life improvement over Samsung Keyboard.

This isn’t just an India-specific thing either. Code-mixing is how billions of people type every day—Spanglish in the US, Taglish in the Philippines, Franglais across parts of Europe and Africa.

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I don’t have time for manual customization

Samsung Keyboard is hands down the more customizable option, especially if you combine it with the Keys Cafe module inside Good Lock. You get granular control over almost every aspect of the keyboard—key colors, keycaps, gesture animations, and a whole lot more. While for some users, this is heaven, I just find it too overcomplicated and a massive time sink.

I don’t have the patience to sit and adjust every visual detail of my keyboard. Sure, it gets stale after a while, and you’d want to freshen it up, but I don’t want to spend the better part of an hour tweaking a virtual keyboard. This is where Gboard wins (at least for me) by doing less.

Android 16 brings Material 3 Expressive, which automatically themes your system apps using your wallpaper’s color scheme. With Gboard, all you have to do is change the wallpaper, and the keyboard updates to match—no Good Lock, no manual color picking. It’s a cleaner, more seamless way to keep your phone looking good without putting in the extra legwork.


The keyboard you don’t think about is the one that’s working

I didn’t switch to Gboard because Samsung Keyboard was broken. I switched because Gboard made typing feel effortless. If you’re a Samsung user who’s never tried it, it’s a free download and a five-second switch. You might not go back either.

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