At thirty-nine, Akiyama Ren had become the kind of person other people described with words such as genius only after they had run out of more useful explanations.
He had started playing chess at six, entered his first national tournament at nine, and by his twenties was competing internationally. His greatest strength was not that he calculated more variations than everyone else.
It was that he often seemed to know which variations were worth calculating.
At the training center in Tokyo where he now coached young players, Ren would sometimes watch a student spend twenty minutes calculating a position.
The student would fill an analysis board with arrows.
“Knight takes.”
“No, bishop takes.”
“Then queen checks.”
He would calculate another five moves.
Ren usually watched silently.
Finally, he would ask:
“What are you trying to solve?”
The student looked puzzled.
“The position.”
“No. What is the position asking you?”
The student stared at the board.
Ren smiled.
That was the difference.
For a beginner, chess consisted of rules.
For an intermediate player, it consisted of patterns.
For a master, it became something closer to geography.
A knight was no longer simply a piece that moved in an L-shape. It could be a blockade, a defender, a tempo, a threat to a square that did not yet appear important. A pawn was not merely a pawn. Its position could determine the shape of the entire endgame twenty moves later.
Years of training had compressed thousands of individual calculations into recognizable structures.
Research on expertise has long suggested that high-level performance is associated with domain-specific training, feedback, and the development of perceptual and cognitive mechanisms—not simply with accumulating years of experience.
Ren had discovered the practical version of that principle without knowing its academic name.
He called it:
“Seeing the whole machine.”
One afternoon, a young player named Kenta brought him a position.
“I found the winning move.”
Ren looked at the board.
“Show me.”
Kenta moved his queen.
Ren shook his head.
“Why?”
“Because the engine says it’s the best move.”
Ren laughed.
“You asked the engine before asking yourself?”
Kenta hesitated.
The training center had changed dramatically in recent years. Chess engines had become extraordinarily strong, and modern players routinely used computer analysis to discover tactical ideas that would be nearly impossible to find by human calculation alone.
But Ren disliked the way young players sometimes treated engine evaluations as commandments.
A computer might tell them that one move was superior by a fraction of a pawn.
That did not necessarily tell them why.
“An engine is a microscope,” Ren said. “It can show you something you couldn’t see. But if you don’t understand what you’re looking at, you just have a very expensive microscope.”
Kenta smiled nervously.
“So my move is wrong?”
“No.”
Ren rotated the board.
“Your move is interesting. The question is whether you understand the position well enough to know why it works.”
That distinction mattered.
A 2025 study using AI-assisted analysis of online chess positions found expertise to be strongly associated with decision quality, while also showing that time controls affected performance. Expertise did not eliminate the need for careful thinking.
And a 2026 study of elite chess players reached an even more interesting conclusion: the strongest players did not simply replace deliberation with intuition. They adapted their use of time, intuiting when a position could be handled quickly and deliberately calculating when it required deeper examination.
Ren knew exactly what that felt like.
It was not that he had stopped thinking.
He had become better at deciding when thinking was necessary.
⸻
That evening, Kenta asked him a question.
“Does everything become easy once you’re good enough?”
Ren laughed.
“No.”
“Then what changes?”
Ren looked through the window.
Tokyo was beginning to glow beneath the evening sky.
“When you’re inexperienced, everything looks important.”
He picked up a chess piece.
“You see fifty things.”
He placed it on the board.
“Then you become better and see twenty.”
He moved another piece.
“Then ten.”
He paused.
“And eventually you see three.”
Kenta nodded slowly.
“But those three are usually the three that matter.”
Ren leaned back.
“That is why experts sometimes look strange.”
“Strange?”
“They can make something extremely difficult look ridiculously simple.”
He smiled.
“But don’t confuse simplicity with contempt.”
That was something Ren had learned painfully.
Years earlier, after winning an important tournament, a journalist had asked him which opening system he recommended.
Ren had answered:
“Openings are overrated.”
The remark became a headline.
For months afterward, young players repeated it.
Some stopped studying openings altogether.
Ren regretted it.
He had meant that openings were only one component of chess.
They heard that openings were meaningless.
The difference was enormous.
Expertise could make a method appear small because the expert could see the larger structure surrounding it.
But that did not mean the method was useless.
It meant the expert understood where the method belonged.
Deliberate-practice research likewise does not support the simple idea that talent or practice alone explains exceptional performance; individual abilities and other factors also contribute.
Ren had eventually understood something similar about talent itself.
Talent was not a magical substance inside a person’s head.
Hard work was not a magical substitute for talent.
Exceptional performance emerged from an interaction among ability, training, feedback, motivation, environment, and the peculiar demands of the field.
The higher Ren climbed, the less satisfying simple explanations became.
At nine that night, Kenta returned to the board.
“I think I understand now.”
“What?”
“You’re not saying the rules don’t matter.”
Ren smiled.
“Exactly.”
He pointed toward the pieces.
“A beginner follows rules.”
He pointed toward the entire board.
“A strong player understands patterns.”
Then he pointed toward the position as a whole.
“And an exceptional player understands why the rules and patterns exist.”
Kenta looked at the board again.
For the first time, he did not immediately reach for his phone.
He simply stared.
Ren watched him.
There was a particular moment he had seen many times before—the moment when a complicated field stopped looking like a pile of instructions and started looking like a landscape.
It was almost impossible to explain from the outside.
Perhaps that was why extraordinary people sometimes appeared detached from the ordinary methods of their professions.
They had not necessarily escaped the rules.
They had climbed high enough to see the shape those rules formed together.
And from that height, a single technique could look trivial.
Not because it was worthless.
But because the expert could finally see where it fit.
All names of people and organizations appearing in this story are pseudonyms
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