Elon Musk Says “AI Will Solve Chess”: Why the Story Remains Unfinished

There are nights when a match does not begin with a move, but with a tweet. In early February 2026, Elon Musk posted on X that chess would one day be solved by artificial intelligence. He offered no diagram, no concrete game and no detailed line. Hours later, Chess.com replied the way a platform that has grown used to being dismissed by tech billionaires usually replies: politely, factually, and not without sharpness. This story looks like a normal online argument, but it opens up a far deeper debate: is chess really under threat from AI in the way outsiders often claim, or are we mixing up two completely different mathematical concepts? The writer of this article has followed chess for years, from Olympiads to games played in empty stadiums during the pandemic. In my own observation, one of the most common mistakes made by the technology world when speaking about chess is treating “beating a human” and “solving the game” as the same thing. Deep Blue beat Garry Kasparov as early as 2026. AlphaZero changed the way the world understood openings in 2026. Yet chess survived, still attracted audiences, and still produced young players ready to spend twenty years chasing the title of Grandmaster. If AI only needed to defeat a human in order to consider chess “solved,” then that contest would have ended long before Elon Musk had an X account. But if “solved” is understood mathematically — meaning that from the starting position, we know exactly whether the game ends in a win, loss, or draw when both sides play perfectly — the story remains open, and the numbers involved are not simple. How many states does chess have? That is exactly why the Musk–Chess.com debate becomes interesting. Musk appears to rely on the figure of roughly 10^44 legal positions. But that number only refers to state-space: the number of legal positions that may appear on the board. Chess.com, when answering, used a different number: roughly 10^120 possible games, meaning all legal sequences of moves from the starting position. This is far larger than the number of atoms in the observable universe, and it is the number related to “solving” a game. To solve chess, a machine would not only need to know every position; it would need to know the optimal path from any position. In a gigantic graph of about 10^44 vertices and 10^120 paths, finding the answer for the initial position alone may sound like a small problem. Yet every existing solving method must investigate a very deep part of the game tree, and that part is large enough to defeat every computational power we can describe with ordinary silicon. It is true that humanity once thought checkers was also invulnerable, but simpler board games like checkers have been mathematically solved thanks to decades of computation. Chess is not like checkers. Chess’s state-space is larger not by a little, but exponentially. Roughly 10^44 legal positions is an absurdly large number, but it is only the tip of the iceberg. What creates true complexity is the branching factor at each move, producing a game tree of around 10^120 branches. Here is one way to help non-specialists understand why Chess.com pushed back so strongly: if every atom in the observable universe were one chess game, the total number of possible games would exceed that count by about 10^40 times. In other words, you would need 10^40 universes like this one just to store every possible path a chess game can take. In such a complex space, saying “a sufficiently intelligent AI will find a way to compress the entire solution” is essentially a pledge based on belief, not a proven scientific argument. Musk once said that chess is too simple for real life because it has no fog of war, no technology tree, and symmetrical forces. In 2026, he was even reported to have blocked a chess event at Tesla because he considered it irrelevant to solving the company’s problems. But that way of seeing things misses the key point: symmetrical rules do not mean symmetrical information. On the chessboard, every piece is visible, but the intentions of the opponent still lie in a dark region. It is no coincidence that top players spend hours studying an apparently harmless opening system. Symmetrical rules only make the game fair; they do not make the game shallow. What makes this debate truly worth reading is not who is right, Musk or Chess.com. It is that both sides are speaking about two different meanings of the word “solved,” while audiences outside constantly merge the two. If someone asks, “Can AI make chess less attractive?”, the short answer is no, because since 2026 humans have known machines are stronger than humans, yet tournaments keep growing, viewership keeps rising, and the value of a game has never been solely about finding the best move. The value of chess lies elsewhere. It lies in a young player forced to face the question: “How will I react when all my calculations are wrong?” It lies in the way one game can change the rhythm of a person’s life in a single moment. When the stands are empty, you can hear the sound of boots on the grass. That is real football. When the noise of technology is set aside, chess also appears more clearly: it is a dialogue between two human beings using a mathematical language, not a race between two machines. Chess.com seems to understand this very well when it chooses to reply publicly. It is not merely protecting a platform; it is protecting an ecosystem that has grown larger each year: chess schools, young players, content creators, and parents who want their children to learn focus. If an influential figure like Elon Musk says chess will be solved, that can affect the way parents view the sport. But if we look at the data, there is no evidence that stronger machines stop humans from playing. On the contrary, the stronger the machine becomes, the more humans want to understand why the machine’s move is so good, and why an idea created by a human can survive across generations. Another detail overlooked by the tech industry should also be mentioned: chess today is not just a human playground, but has become a standard benchmark for AI models. In 2026, in an internal competition between AI models, Grok 4 from xAI lost to o3 from OpenAI in chess. This creates an interesting situation: the man claiming that AI will solve chess is running a company whose model has not yet beaten its rival in the very game he considers too simple. But I do not want to use that story to mock Musk. His way of seeing chess is not unique in tech. Many engineers, founders, and investors also treat chess as a problem already solved by computers, and they use that mindset to dismiss the values chess brings to human beings. Meanwhile, the chess community tends to defend the game emotionally, talking about its beauty without offering numbers weighty enough to command respect. That is an unequal fight in terms of language. Tactics never lie; only people read them wrongly. In this case, the one who reads wrongly is not a child new to the game, but a tech billionaire with hundreds of millions of followers. When an influential person talks about chess casually, people tend to believe the game is no longer worth their time. And that is more dangerous than any loss on the board. Looking deeper into the mathematical structure, we can see why “10^120” is the number that deserves attention. If we only look at 10^44 legal positions, one can think that a powerful machine can simply scan each position one by one. But the figure of 10^120 possible games is the real measure of the number of decisions an algorithm must evaluate in order to prove a result is optimal. In a world where the number of atoms in the observable universe is around 10^80, the number 10^120 is not just a big number; it is a philosophical challenge about the limits of computation. There is a counter-intuitive argument worth considering: even if one day AI finds a way to prove that chess ends in a draw, chess will still not be dead. Humans do not play chess only to find the optimal result. Humans play chess to experience the process of decision-making, to face time pressure, and to understand themselves through every move. A game between two players is not only a sequence of right or wrong moves. It is a tense conversation between two minds, in which confidence can be crushed by a quiet move. That cannot be decoded by any algorithm. I also remember the period when tournaments had to be played in empty stadiums because of the pandemic. With no applause and no cheering, people were forced to listen to their own breathing. At that moment, they understood that football and chess do not need noise to become real. The pitch becomes wider when there are no chants. I saw it more clearly than ever. The same happens on a chessboard in front of two players: when outside interference disappears, only the most primitive intellectual dialogue remains. The answer to Musk, therefore, should not be only to point out that he counted the wrong number. The answer should be to remind him of an old truth: chess is not a problem waiting to be solved. Chess is a language. A language is never fully decoded because every generation speaks it differently. When a twelve-year-old player sits in front of a board, he does not need to know that some machine can calculate better than him. He needs to learn patience, how to endure defeat, and how to respect an opponent stronger than himself. Those are lessons that no algorithm can replace. Thus, the war of words between Musk and Chess.com leaves an unexpected legacy: it forces the chess community to speak more clearly about its own value, and forces the tech world to ask again why they regard a two-thousand-year-old game as simple. When an outsider says “chess will be solved,” a misunderstanding can take root. But when those who love chess reply with data and with stories, they are not only defending their game; they are defending a way of seeing human intelligence — one that is measured not only by processing speed, but by the capacity to accept imperfection and still take action. Chess may have 10^44 positions, 10^120 games, or whatever numbers mathematicians find in the future. But what matters most is not inside those numbers. It is the fact that every person who sits down at a chessboard is asking the question: “What will I do when there is no longer any safe move?” That question goes far beyond the reach of an algorithm, and it will remain long after the tweets of billionaires are forgotten. At the end of the day, I believe what we need is not a final answer to the question “will chess be solved?”. What we need are humans willing to sit down, think longer, and never be afraid of being seen as slower than a machine. Because in that patience, in the rhythms of the clock, there is a part of humanity that AI will never decode. And if one day an AI announces that it has solved chess, I will not question its power. I will only ask: will it understand why a player still cries after winning a perfect game? If it does not understand that, chess still has a private sky in human hands — and the game is still unsolved. Tactics are a strange language. They are beautiful because they do not lie. But they are also beautiful because they allow each person to find their own answer. Musk may think chess is an old game, but those who play, teach, and love chess every day are continuing to write its story. A game that is still being written every day cannot be called finished. When the stands are empty, you can hear the sound of boots on the grass. That is real football. When the entire world of technology is noisy about decoding chess, we can still hear the sound of pieces touching the wooden board. That is real chess. And because that story is still echoing, no tweet and no algorithm can end this game with a dry answer. The Musk–Chess.com story, in the end, resembles a game in which both sides see a different board. One sees a problem that can be compressed; the other sees a living culture. I stand closer to the latter, because I believe chess is a human sport, and a human sport has the right to exist for what human beings need, not for what machines consider optimal. It is time to stop worrying about whether AI can solve chess, and start asking a more important question: what do we want to leave for the next generation? If the answer is a world that knows patience, knows reflection, accepts failure, and continues moving forward, then chess will always matter. Chess is not only a game of intelligence. It is a mirror reflecting how humans confront the hard choices of life. And that mirror will not break merely because an algorithm declares it has understood every corner. AI may one day solve chess. But even when that happens, humans will still find their way to the board — not to prove they are smarter than machines, but to prove they have the courage to face the unknown even when they know they may lose. That kind of courage is not written in any algorithm’s score report, and it will be the final answer to everyone who asks why chess is still alive.