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AlphaGo’s victory demonstrated the unbridled potential of A.I. to achieve superhuman mastery of skills once considered too complicated for machines.

Mr. Lee, now 41, retired three years later, convinced that humans could no longer compete with computers at Go. Artificial intelligence, he said, had changed the very nature of a game that originated in China more than 2,500 years ago.

As society wrestles with what A.I. holds for humanity’s future, Mr. Lee is now urging others to avoid being caught unprepared, as he was, and to become familiar with the technology now. He delivers lectures about A.I., trying to give others the advance notice he wishes he had received before his match.

“I faced the issues of A.I. early, but it will happen for others,” Mr. Lee said recently at a community education fair in Seoul to a crowd of students and parents. “It may not be a happy ending.”

Mr. Lee is not a doomsayer. In his view, A.I. may replace some jobs, but it may create some, too. When considering A.I.’s grasp of Go, he said it was important to remember that humans both created the game and designed the A.I. system that mastered it.

What he worries about is that A.I. may change what humans value.

His immense talent was apparent from the start. He quickly became the best player of his age not only locally but across all of South Korea, Japan and China. He turned pro at 12.

“People used to be in awe of creativity, originality and innovation,” he said. “But since A.I. came, a lot of that has disappeared.”

By the time he was 20, Mr. Lee had reached 9-dan, the highest level of mastery in Go. Soon, he was among the best players in the world, described by some as the Roger Federer of the game.

Go posed a tantalizing challenge for A.I. researchers. The game is exponentially more complicated than chess, with it often being said that there are more possible positions on a Go board (10 with more than 100 zeros after it, by many mathematical estimates) than there are atoms in the universe.

The breakthrough came from DeepMind, which built AlphaGo using so-called neural networks: mathematical systems that can learn skills by analyzing enormous amounts of data. It started by feeding the network 30 million moves from high-level players. Then the program played game after game against itself until it learned which moves were successful and developed new strategies.

Mr. Lee said not having a true human opponent was disconcerting. AlphaGo played a style he had never seen, and it felt odd to not try to decipher what his opponent was thinking and feeling. The world watched in awe as AlphaGo pushed Mr. Lee into corners and made moves unthinkable to a human player.“I couldn’t get used to it,” he said. “I thought that A.I. would beat humans someday. I just didn’t think it was here yet.”

AlphaGo’s victory “was a watershed moment in the history of A.I.” said Demis Hassabis, DeepMind’s chief executive, in a written statement. It showed what computers that learn on their own from data “were really capable of,” he said.

Mr. Lee had a hard time accepting the defeat. What he regarded as an art form, an extension of a player’s own personality and style, was now cast aside for an algorithm’s ruthless efficiency.

His 17-year-old daughter is in her final year of high school. When they discuss what she should study at university, they often consider a future shaped by A.I.“We often talk about choosing a job that won’t be easily replaceable by A.I. or less impacted by A.I.,” he said. “It’s only a matter of time before A.I. is present everywhere.”