I remember when poker was a game of wills. You looked your opponent in the eye, looking for a “tell”—a nervous twitch of a finger or an overly deep breath before a bet. Today, things are different. Now, to win, you need to embrace technology. Artificial intelligence has become an integral part of our lives, and poker is no exception. The question is no longer whether to use AI, but how to do it correctly and legally.
A few years ago, I was skeptical about “smart” programs. I thought, what could a piece of hardware possibly understand about bluffing and psychology? It turns out, it can. And how. Let’s figure out how to win at poker with the help of artificial intelligence, without breaking the rules or losing your bankroll.
The Evolution of AI in Poker: From Librarian to Murderer
The history of poker and artificial intelligence didn’t begin yesterday. Back in 2017, Carnegie Mellon University’s Libratus program destroyed four professionals in a heads-up game, winning nearly 1.8 million virtual dollars. At the time, it seemed miraculous. Then came Pluribus, which beat the stars in six-player hold’em—a much more difficult task.
Today, we live in an era where large language models (LLMs) compete against each other in tournaments. Can you imagine? A neural network poker championship was recently held on the Kaggle Game Arena platform. Ten leading models—Grok 4, GPT-5.2, Gemini 3 Pro, and Claude Opus 4.5—played no-limit hold’em, while legends like Doug Polk and Liv Boeree provided commentary.
Research from the Higher School of Economics shows that modern LLMs don’t yet measure up to specialized solvers, but progress is clear. The models are already choosing a playing style—some are more aggressive, others softer. They’re learning to bluff, although this is still a challenge. ChatGPT o3 and 5.2 reached the final of that tournament, confirming that OpenAI is still the leader in poker science.
But the main question for us mere mortals is: how can you win at poker with artificial intelligence if you’re not a Silicon Valley developer, but an ordinary player on a budget?
Legal Weapons: Solvers and GTO Coaches
Let’s start with what’s permitted and even encouraged. We’re talking about training programs that use GTO (Game Theory Optimal) technology—a mathematically optimal strategy.
Take the GTO Preflop app. It’s a professional solver trusted by players worldwide. It displays optimal ranges for all positions, taking into account stack depth and the number of opponents. Want to know which hands to open with from the button with 30 big blinds? The program will give you the exact answer in a second.
Another powerful tool is GTO Gecko. It’s a full-fledged postflop solver. You load a situation (your cards, board, stacks), and the app shows you which solution has the highest expected value. A subscription starts at $15 per month—pennies compared to what you can win by applying this knowledge.
And recently, the PeakGTO app from Jonathan Little’s school was released. It features over 20 million unique scenarios and daily training sessions with feedback from real coaches. It’s like having a personal coach in your pocket.
All these programs are legal because you learn from them between sessions. At the table, you rely only on your own judgment, but this judgment is now trained to make optimal decisions. This is exactly how modern pros operate today. How can you legally win at poker using artificial intelligence? Use it as a trainer, as a sparring partner who never sleeps and never makes mistakes.
The Dark Side: RTA and Bots
Now for something that’s not generally talked about, but everyone’s talking about. Real-Time Assistance (RTA) is software that suggests decisions in real time while you’re playing.
There’s a service called RTA.POKER that uses OCR to scan cards from the table and sends recommendations directly to Telegram. The system supports GGPoker, Natural8, RedStar, and other major poker rooms. Sounds like a dream? It’s a nightmare for your bankroll.
The problem is that using RTA is pure cheating. Poker rooms invest millions in detecting such programs. GGPoker recently teamed up with GTO Wizard and banned 31 accounts for using RTA. People lost not only access but also all their money.
I know a guy who got caught doing this. He bought a subscription for 850 euros, won about ten thousand in a month, and then his account was blocked without the right to restore it. The money was lost. And he got off easy—in some countries, this could even lead to criminal prosecution.
So, if you want to understand how to use artificial intelligence to win at poker without consequences, stay away from RTA. The game should remain a game, not a software competition.
New formats: AI assistants and analytics
The good news: services are emerging that legally help improve your game without interfering with the process.
For example, noluai is a platform that analyzes your hand history and finds patterns. It offers It shows where you’re folding too often on the turn or overpaying with top pair. It’s like HM2 or PokerTracker, only with elements of artificial intelligence that suggest what to improve.
PokerGPT is another interesting tool. You upload a hand as text, and the neural network explains why a particular decision was optimal or wrong. It works in natural language, without complex graphs and equations. Perfect for beginners.
There’s even pairrd—a platform from renowned pro Ben Rolle (bencb789). There, the AI tailors training to your level and weaknesses. The system remembers your mistakes and generates exercises specifically for those situations.
Psychology vs. Mathematics: Who will win?
The most interesting thing is that even perfect AI doesn’t guarantee victory. Why? Because there are people at the table with their fears, greed, and fatigue.
In 2025, researchers noticed a paradox: models that play too optimally become predictable for experienced regulars. Yes, they don’t lose in theory, but they don’t win much either. And poker is a game about exploiting the mistakes of others as much as possible.
Experts advise maintaining a balance: play GTO 90% of the time, and 10%, activate “crazy bluffing” mode to prevent opponents from adjusting. Artificial intelligence can’t afford this luxury; it lacks intuition. But you do.
My two cents: practical advice
If you really want to understand how to use artificial intelligence to win at poker, start small.
The first step is to download any app with preflop charts. GTO Preflop or the free version of PeakGTO . Just consult them at first. You’ll be surprised how often you enter a hand with trash just because you “have a good hand.”
The second step is to start recording your hands and running them through analyzers. PokerGPT or noluai will give you an objective picture. Without self-deception or excuses like “I felt he was bluffing.” Feelings are good, but math is better.
The third step is to never use RTA. Even if it seems no one will find out. They will. Poker rooms are now hiring top cybersecurity specialists, and their algorithms detect anomalies in decision-making speed.
The Future: AI vs. AI
Interestingly, some pros are already preparing for a world where computers, not humans, are sitting at every table. Tournaments between LLMs are becoming regular occurrences. Experts like Liv Boeree are even asking: isn’t it dangerous to teach neural networks to cheat and manipulate?
But for us, ordinary players, the future looks like this: everyone will know how to win at poker with the help of artificial intelligence, but only those who retain human instincts will win.
I’ve noticed that after a long game with a solver, I start to think in a cliched way. I stop noticing that a particular opponent is losing today and playing too tight. The AI says, “The bet here is 75%,” but in fact, you can bet 100% and they’ll fold any pair. It’s important to maintain this connection to reality.
In conclusion
Poker has always been a game of adaptation. First came computers, then the internet, then HUDs, and now AI. Every time, the old-timers grumbled that the game was dead. But it’s alive. The rules of preparation have simply changed.
Today, to be a winning player, it’s not enough to simply love cards. You need to learn. And the best teacher today is artificial intelligence. But let it remain a teacher, not a player at your table.
Use solvers for practice, analyze your mistakes with AI assistants, but at the table, trust your head and instincts. Then results will come. And remember: even the smartest AI can’t replace the satisfaction of a beautiful bluff that worked because you sensed your opponent’s weakness. That will always remain human.
And if you meet a guy at the table who never makes a mistake and makes decisions in half a second… just change tables. You might not be playing with a human.