Why you shouldn't ask AI to generate your passwords

[Clever Wrench]

Security experts are warning people not to rely on AI tools to create passwords, mainly because the outputs can be predictable or based on patterns the AI has seen before. That's a serious risk in a world where attackers already use automation to crack weak credentials. The convenience is tempting, but this is one area where shortcuts backfire hard. Real security still comes from randomness, not recycled intelligence

[SortedMate]

If AI trained on data, then your password isn't really unique

[Ben]

People already use "password123", this just makes it worse

[JayJ]

Wow thats really interesting. Sometimes it gives me code with a default password in

[DarkLantern]

Password managers exist for a reason, use them

[StringTheory83]

The stats do not back that up. The squad depth is the real difference at the top level.

Good debate though, fair play.

The gap between what people claim about AI and what it actually does in practice is still wide.

[Danny47]

Exactly what I was thinking. Experience in big games counts for a huge amount and younger squads often find that out the hard way.

Good debate though, fair play

[Kev5]

If AI trained on data, then your password isn't really unique.

Same here tbh. Good shout

[Forge37]

Wow thats really interesting. Sometimes it gives me code with a default password in

Spot on. Same here honestly.

People tend to recommend what they bought to justify spending the money, which is worth keeping in mind.

Good thread this.

[Lazy Anvil]

The password advice is one of those things that sounds overly cautious until you understand the mechanics. AI models are fundamentally probabilistic; they generate outputs based on likelihood, not randomness. For creative tasks, that's perfect. For security, it's a disaster waiting to happen.

Consider the attack model: a sophisticated attacker doesn't need to crack your exact password; they need to crack passwords that follow the same pattern as yours. If AI-generated passwords cluster around certain structures, the attacker can focus their efforts there. It's not about guessing your specific password; it's about guessing the distribution your password came from.

The training data contamination is well-documented at this point. AI models have been shown to reproduce copyrighted text, leaked credentials, and other sensitive information from their training sets. When generating passwords, there's a non-zero chance you get something too close to existing compromised credentials. That's not theoretical; researchers have demonstrated it in controlled settings.

What's frustrating is the marketing angle. Some AI companies subtly promote these use cases because they make the tool seem more versatile. But versatility isn't always a virtue; sometimes it's a security vulnerability. A Swiss Army knife is convenient, but you wouldn't use it for surgery.

The user education gap is real here. Most people don't understand the difference between "looks random" and "is random." An AI-generated password looks random to the average user, so they trust it. But visual complexity isn't cryptographic strength. Teaching that distinction is important, but it's easier to just say "don't use AI for passwords."

One tangent: this applies to other security-critical generation too. Don't ask AI for encryption keys, seed phrases, or security tokens. The same predictability issues apply. The model isn't built for cryptographic randomness, no matter how convincing the output looks.

Practical recommendation: use a password manager with a built-in generator, enable two-factor authentication, and stop worrying about whether your password looks clever. Boring, random passwords are the goal, not creative ones. AI can help you write emails, but let it sit out when it comes to your security.

[Jeffy]

The fundamental issue is that AI models are designed to be predictable in a sense; they optimize for likely outputs based on training data. That's great for writing emails or generating code, but terrible for security-critical randomness. When you ask for a password, you want something unlikely, not something that fits the pattern of what a password "should" look like.

Consider how these models work: they're trained on text from the internet, which includes countless examples of passwords, both good and bad. The model learns what passwords look like, including common mistakes. When generating a new one, it's essentially averaging across all those examples, which means you're getting the digital equivalent of a password beige.

The entropy problem is technical but important. Cryptographic randomness requires high entropy, meaning each character should be independent and uniformly distributed. AI-generated passwords don't have this property; they have correlations and biases based on the model's training. A password cracker that understands these biases can crack AI-generated passwords faster than truly random ones.

Here's a concrete scenario: you ask an AI for a password, it gives you something like "P@ssw0rd!2026." Looks decent, right? But that's a variation of one of the most common passwords ever. The AI didn't invent it; it remixed patterns it's seen before. An attacker running a dictionary attack with common substitutions will catch that almost immediately.

The privacy angle is worth mentioning too. When you generate a password through an AI service, you're sending that request to their servers. Even if they don't log it, you're creating a potential attack vector. A breach, an insider threat, a government subpoena, any of those could expose your password requests. Why introduce that risk when offline generators exist?

What's ironic is that AI companies themselves don't recommend this. Ask most AI security teams and they'll tell you to use proper password managers. But users don't always read the fine print; they just ask the chatbot and trust the output. That trust is misplaced when it comes to cryptographic functions.

Practical advice: if you must use AI for something security-related, at least use it to generate a passphrase from truly random words, not a password with substitutions. But even then, a dedicated tool is better. Don't outsource your security to a model that's optimized for coherence, not randomness.

[Brandon]

There is also a practical human-factor problem here. Once people start asking AI for passwords, they tend to add requirements such as "make it memorable" or "include my dog's name but disguise it". At that point you can end up with a password that is technically complicated but still built around information an attacker might know.

Password managers solve this neatly. If the site accepts long passwords, generate a long random one and forget about making it memorable. The manager remembers it instead.

For the few passwords that genuinely have to be memorised, a properly chosen passphrase can be easier to manage, but even then it is worth following the service's guidance rather than trying to make the model clever. Security usually improves when there are fewer clever tricks involved.

[BetaMyles75]

There is a subtle distinction here that gets lost in the headline. AI-generated passwords are not automatically crackable just because an AI generated them. If a model happened to output a genuinely random 30-character password, the password itself could be extremely difficult to guess.

The issue is that you cannot assume that happened. A language model is designed to produce plausible sequences, not to provide a cryptographic guarantee. You are trusting the appearance of randomness rather than having a mechanism designed to create randomness.

It is a bit like asking a novelist to roll six dice and report the result. They might give you six perfectly ordinary numbers, but why involve the novelist when you have dice sitting on the desk?

[Robin13]

The default-password point is a really good example of why this matters. AI has seen enormous amounts of documentation, tutorials and sample code, so it has a strong tendency to reproduce the sort of credentials people put into examples. "admin123" is practically a historical monument at this stage.

Even when it generates something more complicated, there is still no benefit to using the chatbot as the random-number generator. A password manager already has a button for this job, and it does not need to write you a paragraph explaining why its output is supposedly secure.

For throwaway test accounts, none of this is particularly dramatic. For an account containing your email, money or personal data, using a dedicated generator is such an easy improvement that there is little reason not to do it. Let the AI write the instructions and let the password manager do the random bits. That division of labour makes much more sense.

[QuantumFoam19]

Here's the thing nobody talks about: AI password generators are essentially doing the digital equivalent of hiding your key under the doormat and calling it "creative security." The passwords look unique, but they're built from patterns the model has seen thousands of times before. That's the opposite of what you want.

The training process itself is the problem. Language models learn to predict what comes next based on patterns in their training data. When you ask for a password, you're asking the model to predict what a "good password" looks like. But good passwords should be unpredictable, which is fundamentally at odds with how these models work. It's like asking a weather forecaster to generate random numbers; they'll give you something that looks plausible, not something that's actually random.

Real-world example: researchers have tested AI-generated passwords against cracking tools and found they're significantly easier to break than truly random strings. The AI tends to use common substitutions (a becomes @, e becomes 3), predictable structures, and familiar word combinations. Attackers know this and can adjust their dictionaries accordingly. You're not staying ahead; you're following a pattern they've already mapped.

The supply chain risk is another angle. If you're using a cloud-based AI service, your password request might be logged, analyzed, or worse, leaked in a breach. Now an attacker doesn't just have pattern information; they might have the actual output. Even if the company promises not to store it, why take the risk when dedicated password generators are free and local?

What's frustrating is how easy it is to do this properly. Every major password manager has a built-in generator that uses proper cryptographic randomness. Bitwarden, 1Password, KeePass, they all do this better than any AI. Yet people keep asking AI because it feels more "intelligent," not realizing that intelligence isn't what you need here.

The psychological factor matters too. AI-generated passwords often look more "thoughtful" than random strings, which makes people trust them more. But that thoughtfulness is actually a vulnerability. A password like "Sunset$2026!Beach" feels clever; a password like "xK9#mL2@pQ7v" feels random. Guess which one is actually safer?

Final thought: AI is amazing for many things, but password generation isn't one of them. Use the right tool for the job, and let the password manager handle the randomness while you focus on not reusing passwords across sites. Your security will be better for it.

[Coastal Amy]

One thing worth adding is that long random passwords are only part of the picture. If a website supports passkeys, that can be a better option because there is no password for a phishing site to collect in the first place.

For accounts that still require passwords, a sensible setup is a unique generated password for every important service, stored in a password manager, plus MFA where available. That removes the need to remember dozens of bizarre strings.

And if a service sends you an email saying your password needs to be changed, do not let an AI chatbot or anything else become the middleman for the actual credential. Go directly to the service, sign in through the normal route and change it there. A lot of security problems begin with doing something slightly unnecessary because it feels convenient.

[CollapseState87]

The core issue is a category error: AI is a language tool, not a security tool. Asking it to generate passwords is like asking a translator to perform surgery. Sure, both involve precision, but the underlying skills are completely different.

The predictability problem manifests in interesting ways. Researchers have shown that AI-generated passwords can be cracked at significantly higher rates than truly random ones, even when they look complex. The reason: the AI uses patterns it's learned from training data, and those patterns are guessable. It's not random; it's statistically likely.

The data leakage risk is another concern. If you're using a cloud-based AI, your password request is processed on their infrastructure. Even with good security practices, that's an additional attack surface. A password manager generates locally, with no network exposure. The difference matters when you're talking about credentials.

What's interesting is how this plays out in practice. People ask AI for passwords because it feels convenient and modern. But convenience in security is often a trap. The extra thirty seconds to use a proper generator is worth the peace of mind. Security should be slightly inconvenient; that's a feature, not a bug.

The model bias issue is subtle but important. Different AI models will generate passwords with different characteristics based on their training. That means your password's security depends partly on which model you used, which is a bizarre dependency for something as fundamental as authentication. You want your password security to be model-independent.

Compliance and auditing create another layer of complexity. Organizations need to demonstrate that their password generation meets certain standards. AI-generated passwords can't provide that assurance because the generation process isn't transparent or verifiable. For personal use, that might not matter; for businesses, it's a dealbreaker.

The bottom line: AI is incredible for many things, but password generation requires cryptographic randomness, which isn't what language models do. Use tools designed for security, and save AI for the tasks where it actually excels. Your future self will thank you.

[Aoife11]

The password generation question reveals a deeper misunderstanding about what AI is good at. It's excellent at tasks involving language, reasoning, and pattern recognition. It's terrible at tasks requiring true randomness and cryptographic security. Confusing those two categories is how people end up with compromised accounts.

The predictability issue isn't just theoretical. Security researchers have demonstrated that AI-generated passwords can be cracked faster than random ones because they follow learnable patterns. An attacker doesn't need to guess your exact password; they need to guess the pattern your AI used. That's a much smaller search space.

The training data contamination is well-documented. AI models have reproduced copyrighted code, leaked credentials, and sensitive information from their training sets. When generating passwords, there's a real risk of outputting something too close to existing compromised credentials. That's not a bug; it's a feature of how these models learn.

What's interesting is the user psychology. People trust AI-generated passwords because they look sophisticated. But sophistication isn't security. A password like "Quantum$2026!Secure" looks impressive but follows predictable patterns. A password like "x7#mK9@pL2vQ" looks boring but is actually safer. Boring is good when it comes to passwords.

The supply chain risk is another factor. Cloud-based AI services process your requests on their infrastructure, creating potential exposure. Password managers generate locally, with no network dependency. That architectural difference matters for security-critical operations.

The compliance angle is worth noting for businesses. Security standards require passwords to be generated using approved cryptographic methods. AI-generated passwords don't meet those requirements, which could create audit and liability issues. It's not just a personal security problem.

Bottom line: AI is transformative, but password generation isn't its lane. Use dedicated tools for security-critical functions, and let AI handle the tasks it's actually designed for. Your accounts will be more secure, and you'll sleep better knowing your passwords aren't predictable.

[Sigma]

Another reason to avoid it is that people forget the conversation itself can become part of the problem. If you ask an online AI service to generate a password and then paste that password into an account, you have created an unnecessary question about where that information was processed, stored or logged.

A password generator built into a reputable password manager has a much narrower purpose. Generate locally where possible, save it in the vault, and you do not need to have a chat transcript containing something that is supposed to be secret.

Same principle applies to recovery codes, API keys and other credentials. They may look like strings of nonsense, but that does not make them suitable things to paste into random services. The fewer places a secret exists, the better.

[BlueFalcon]

The predictability issue is real and it's worse than most people realize. AI models are trained on vast datasets that include common password patterns, leaked credentials, and typical human choices. When you ask for a "secure password," you're getting something that looks random but is actually drawn from a distribution the model has seen before. That means attackers can use similar models to guess what you might have generated.

Practical example: ask three different AI tools for a password and you'll often see similar structures. Capital letter, some lowercase, a number or two, maybe a special character tacked on the end. "Tr0ub4dor&3" style thinking. It's not truly random; it's the model's best guess at what a secure password should look like, which is exactly what password crackers are also guessing.

The training data contamination is another problem. If an AI was trained on datasets that included leaked passwords, it might inadvertently reproduce variations of those. Not identical, but close enough that pattern-matching attacks could catch them. You're essentially asking a system that's seen millions of bad passwords to generate a good one, which is a bit like asking a pickpocket to design your wallet.

What makes this especially dangerous is the false sense of security. People think "AI generated this, so it must be smart and secure," but the AI doesn't actually understand security; it's pattern-matching. The output looks complex, so users trust it, but complexity isn't the same as unpredictability. A password can look complicated and still be guessable if it follows common patterns.

The better approach is using a dedicated password manager with a cryptographically secure random generator. Those tools are designed specifically for this purpose, use proper entropy sources, and don't have the pattern biases of language models. It's the difference between asking a chef to design a lock versus asking a locksmith; one might be smarter overall, but the other actually knows locks.

Tangent: this is part of a broader problem where people treat AI as a universal solution. It's great for many things, but security-critical randomness isn't one of them. Same reason you shouldn't ask AI to generate encryption keys or seed phrases. The tool isn't built for that kind of unpredictability.

Bottom line: AI is useful, but password generation should be left to tools designed for cryptographic randomness. Your future self will thank you when your accounts don't get compromised because an AI had a predictable day.

[Seb_70]

The biggest problem is not that an AI can never produce a random-looking password. It can. The problem is that you have no useful reason to trust that the particular password it gives you was generated with the same security properties as a proper password manager generator.

A password manager can generate something like a long random string using a cryptographically secure random source, and you can verify the settings yourself. Asking a chatbot for one is basically asking a text prediction system to invent something that looks random. Those are very different things.

The other trap is convenience. Someone asks for a strong password, gets one that looks suitably horrible, then uses it for email, banking and everything else because remembering it is easier than setting up a password manager. That is where the real damage starts.

[Forge40]

Asking AI to generate passwords is like asking a comedian to design your home security system. They might be clever, but clever isn't the same as secure. The fundamental problem is that AI models optimize for outputs that seem reasonable, not outputs that are truly unpredictable.

The pattern leakage is subtle but significant. AI models don't just learn from explicit password examples; they learn from all text, including discussions about passwords, security guides, and common recommendations. When you ask for a password, you're getting a synthesis of all that advice, which means you're getting what security-conscious people typically suggest. That's useful information for an attacker building a targeted dictionary.

Here's a concrete test: generate ten passwords from an AI and analyze them. You'll likely find common themes: similar lengths, predictable character distributions, familiar word choices. Compare that to ten passwords from a cryptographic generator, and the difference is stark. One looks like it came from a system; the other looks like it came from a model trying to seem random.

The model versioning problem is another angle. AI models get updated, retrained, fine-tuned. A password generated today might follow different patterns than one generated next year. That inconsistency makes it hard to audit or verify the security properties. Password managers, by contrast, use stable, well-understood algorithms that can be independently verified.

What's interesting is how this intersects with user behavior. People who ask AI for passwords are often trying to be security-conscious, which makes them more likely to trust the output without questioning it. That trust is exactly what attackers exploit. The veneer of sophistication masks the underlying predictability.

The compliance angle matters for businesses too. Many security standards require passwords to be generated using approved cryptographic methods. AI-generated passwords wouldn't meet those requirements, which could create audit issues. It's not just a personal security problem; it's a governance one.

Bottom line: AI is transformative for many tasks, but password generation isn't one of them. The risks of predictability, pattern leakage, and supply chain exposure outweigh any convenience. Use a proper password manager, and let AI handle the tasks it's actually good at.

[Highland Fatima]

The password problem is a perfect example of why "smart" doesn't mean "secure." AI is incredibly smart at pattern recognition and generation, but security often requires the opposite: breaking patterns and embracing true randomness. That's a fundamental mismatch.

Think about what makes a password strong: unpredictability, high entropy, no discernible patterns. Now think about what AI is good at: finding patterns, predicting likely sequences, generating coherent output. These are literally opposing goals. You're asking a pattern-finding machine to do anti-pattern work, which is like asking a fish to climb a tree and then judging it for being bad at it.

The training data issue goes deeper than just leaked passwords. AI models learn from how humans typically create passwords, which includes all our bad habits. We use birthdays, pet names, keyboard patterns, common substitutions. The AI absorbs all of this and then reproduces variations when asked. You're not getting innovation; you're getting a sophisticated remix of human mistakes.

Real example from a security researcher: they asked multiple AI models for passwords and found striking similarities in structure. Most used the "Capital + word + number + symbol" pattern. Many included the current year. Several used common words with predictable substitutions. It wasn't random; it was the AI's best guess at what humans think secure passwords look like.

The supply chain attack surface is another concern. If you're using a hosted AI service, your password generation request travels over the internet, hits their servers, gets processed, and comes back. Each step is a potential vulnerability. A password manager generates locally, with no network exposure. That's a meaningful security difference.

What's telling is how password managers approach this: they use cryptographically secure pseudorandom number generators, often seeded with system entropy sources. These are designed and audited specifically for security. AI models are designed and audited for coherence and helpfulness. Different goals, different outcomes.

The takeaway: AI is a powerful tool, but it's not a security tool. Password generation should be handled by systems designed for that exact purpose, not by models optimized for language patterns. Use the right tool, and your accounts will be safer for it.

[Context Sentinel]

There's a beautiful irony in asking an AI, which is fundamentally a pattern-matching engine, to generate something that should have no patterns. It's like asking a jazz musician to play completely atonal music; they might try, but their training will bleed through.

The technical reason is entropy. Cryptographic security requires high entropy, meaning each bit of the password should be independent and unpredictable. AI-generated passwords have lower entropy because they're constrained by the model's training and architecture. They're not truly random; they're the model's best approximation of random, which is a crucial difference.

The attack surface is broader than just the password itself. If an attacker knows you used AI to generate passwords, they can use similar models to build targeted dictionaries. This is especially dangerous for high-value targets where attackers invest significant resources. You're not just fighting generic crackers; you're fighting someone who understands your generation method.

What's telling is how security professionals respond to this question. Ask any infosec expert and they'll tell you to use a dedicated password manager, not an AI. But users don't always listen, especially when the AI output looks convincing. The appearance of security isn't the same as actual security.

The training data problem compounds over time. As more people use AI for passwords, those passwords (or patterns from them) might end up in future training datasets. This creates a feedback loop where AI-generated passwords influence future AI-generated passwords. It's a weird echo chamber of predictability.

One practical angle: password managers are free, easy to use, and auditable. There's literally no advantage to using AI except the illusion of sophistication. That's not a good trade-off when your account security is on the line.

Final thought: AI is revolutionary, but it's not a universal solution. Password generation is a solved problem with well-understood best practices. Don't reinvent the wheel with a tool that wasn't designed for it. Use a password manager, and let AI focus on the things it actually does well.

[NightReaper]

The best argument against using AI for passwords is wonderfully boring: there are already tools specifically built for this. A password manager can generate a unique credential, save it, autofill it and warn you when you have reused one. Asking a chatbot to generate the string is adding an extra step without adding security.

There is nothing wrong with experimenting on a dummy account if you are curious about what an AI produces. Just do not confuse that experiment with a security recommendation for your main email account or anything financial.

And please, never ask it to generate a password and then say "make it easier to remember" five messages later. That is basically watching the security parachute slowly disappear over the horizon.

[ProperMadlad20]

The predictability issue is genuinely alarming when you look at the data. Researchers found that major models like ChatGPT, Gemini, and Claude all produce passwords with structural patterns, such as starting with an uppercase letter (often 'G') and avoiding duplicate characters entirely.

This lack of true randomness is a fundamental flaw because LLMs are designed to predict plausible text, not generate cryptographic entropy. A password that never repeats a character is statistically suspicious, not secure. It is essentially a "secure-looking" string that follows a hidden rulebook attackers can learn.

Some might argue that adding a personal twist to an AI suggestion fixes the problem, but that is a risky gamble. If the base structure is compromised, modifying the end might not be enough to stop a brute-force attack tailored to AI patterns. The entropy calculations suggest these passwords could be cracked in hours on outdated hardware, which is terrifying given how much we rely on digital security.

It is ironic that the same tools warning us about security risks are the ones creating them. Even AI developers are starting to embed warnings in their models, advising users not to trust chatbot-generated credentials for sensitive accounts. This admission from the creators themselves should be the final nail in the coffin for this practice.

Instead of rolling the dice with a language model, using a dedicated password manager is the only logical move. These tools use cryptographic random number generators, ensuring every character is truly independent and unpredictable. It is a small change that makes a massive difference in protecting your digital life.

Ultimately, treating AI as a security tool for authentication is a category error. It is fantastic for drafting emails or debugging code, but when it comes to keeping the bad guys out, we need math, not probability. Let us leave the password creation to the machines built for that specific purpose and keep the chatbots for conversation.

[GlassKnight35]

The predictable-pattern issue is probably more important than whether the output contains symbols and numbers. People see something like X7!qP9#vL2 and think it must be random because their eyes cannot find a pattern

But security is not about fooling your eyes. A proper random generator is designed so that an attacker cannot gain useful information from how the value was produced. A language model has a completely different job and is trained to produce likely text

That is why "looks random" should never be the test. A 40-character password invented by a chatbot can look scarier than a 20-character password generated properly, while the latter has a much clearer security basis. The scary-looking keyboard soup is not automatically the winner.

[DiamondDallas_X]

The funny thing is that AI is actually useful for almost everything surrounding password security, just not for being the source of the password itself. It can explain passkeys, help you understand MFA, show you how to configure a password manager or explain why password reuse is dangerous

Then when it comes to creating the actual credential, hand the job to a proper generator. That is not anti-AI, it is just using the right tool for the right task

There is a similar lesson with software development. An AI can write code that uses a cryptographic library, but you still want the library doing the cryptography rather than asking the language model to invent its own encryption algorithm. Nobody wants "trust me, this cipher looks pretty secure" as a security architecture.

[Clara_21]

That paradox about AI being great for managing security while being awful at inventing the actual secret phrase is spot on. Yesterday my workflow involved asking Claude to audit a complex regex string for a custom login page, and it nailed the debugging process in seconds, yet I would never dream of letting it pick the master key to my vault. It is sort of like having a brilliant master locksmith who refuses to use dice to determine tumbler combinations and instead just reaches for the nearest dictionary. Appreciate the nuanced take here instead of the usual blanket panic about technology.