Chess Engines Enter the Training Room: Fritz and the 2026 Training Revolution

On the night of November 5, 2026, in Belgrade, the final game of the Fischer–Spassky rematch came to an end. Bobby Fischer won 10 games, lost 5 and drew 15, taking the match that had begun on September 2 of the same year. The prize fund stood at five million US dollars, the highest the chess world had ever seen up to that point. The hall was packed with spectators watching two human beings.

In Hamburg, some two thousand kilometres from Belgrade, a group of engineers paid little attention to that result. They were watching something else: chess programs running on personal computers. No names on the scoreboard, no biographies, no fatigue, and no trembling hand on move forty.

Half a century of games in a plastic box

2026 marked a turning point for computer chess. ChessBase, founded in 2026 in Hamburg, had moved game databases onto floppy disks. The Fritz program, written by Dutch programmer Frans Morsch and released in 2026, quickly became a familiar tool in analysis circles. Before that, looking up an opening line meant leafing through dozens of volumes and taking notes by hand. By 2026, half a century of games fitted inside a single plastic box.

That same year, the 16th Chess Olympiad took place in Manila from June 6 to June 25, drawing more than a hundred teams. Watching the games in Manila that June, I noticed that the strongest squads had started carrying laptops into the analysis room, luggage nobody would have considered a few years earlier. Reigning world champion Garry Kasparov is said to have used electronic databases to prepare for his major matches.

For Southeast Asian players, that gap was plain to see. In Vietnam, a personal computer was still a luxury item. Players such as Dao Thien Hai, regarded at the time as the strongest in the country, still trained mainly with books, paper scoresheets and memory.

Three roles in one machine

The new generation of chess software took on three roles at once, and all three revolved around something no human possesses: unlimited repetition.

The first role is the coach. A human trainer can sit with a student only a few hours a day, and every time the student errs, he has to remember where the mistake happened. A machine never forgets. It grades every move, points immediately to the move that was missed, and lets the student rebuild that exact position hundreds of times until the reflex takes hold.

The second role is the opponent. At its highest setting, the program plays so accurately that it barely makes a tactical error, forcing the trainee to raise his own standard. No flesh-and-blood opponent is that patient; nobody will play two hundred games with you in a week and still hold the same level.

The third role, and the least discussed, is the ally. Before a tournament, a player can load every game an opponent has ever played into the machine and let it hunt for repeating patterns: he likes to push the queenside pawn on move twelve, he avoids positions with a bishop exchange. That is the opponent's space map, drawn from data rather than from feeling.

On the board, that space map shows up in moves never recorded on the scoresheet: a knight changing direction on move fifteen to control a central square, a kingside pawn advancing not to attack but to claim room, and a bishop quietly stepping off a diagonal to avoid being locked in. Not the move itself, but the empty space before the move appears.

What the machine cannot teach

A belief is spreading through training rooms: play the computer often and your chess will improve. That is half true.

A machine teaches calculation, precision and patience. A machine cannot teach fear. This year's Manila hall held more than a hundred teams and thousands of people, and young players sat at the board with sweating palms on move twenty-five. The computer back in the hotel room has no way of reproducing that feeling. Time pressure, exhaustion after a fourth game in a day, the sense that an opponent is staring straight at you: those remain lessons passed from human to human.

There is one more blind spot, and it is structural. Computers and software cost money. For a player in Vietnam or Indonesia, the sum needed for a machine powerful enough can equal several months of income. Wealthy federations buy the advantage, while smaller ones keep developing young players, only for those same players to be drawn away a decade later to better conditions. The way big teams cultivate half-finished products and then reap the rewards in chess is not so different from what they do in other sports. A training revolution that is not shared will only widen the gap that already exists.

What to watch in the next game

Machines do not produce identical players. They merely open different roads, and the question of 2026 is how many Vietnamese will be allowed to walk them. Every position is a hypothesis until a piece is touched. With Fritz, that hypothesis can be tested hundreds of times, as long as there is a power socket in the room.