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Bryson DeChambeau Turns to AI for a Swing Fix After LIV Golf Setbacks in Korea

Bryson DeChambeau Turns to AI for a Swing Fix After LIV Golf Setbacks in Korea

DeChambeau admits he used artificial intelligence to help repair his game

After a puzzling performance at a LIV Golf event in South Korea, Bryson DeChambeau confided that he turned to AI tools for swing advice, hoping tech could nudge his shotmaking back on track.

When Bryson DeChambeau stepped onto the course in Jeju, South Korea, his usual confidence was noticeably dimmed. The former major champion, now a LIV Golf player, was battling a swing that felt off, and the numbers on the leaderboard reflected that struggle.

In a candid interview after the round, DeChambeau let slip that he had, of all places, consulted an artificial‑intelligence program to get a fresh perspective on his mechanics. “I was kind of at a loss,” he said, chuckling, “so I thought, why not ask the computer what it thinks?”

He explained that he typed a series of prompts into a generative‑AI chatbot, asking for ideas on how to regain consistency, improve tempo, and even adjust his grip. The AI spat out a laundry list of suggestions: tighten the left wrist, lengthen the backswing slightly, and focus on a smoother transition at impact. DeChambeau tried a few of the tips on the range, noting that some felt oddly intuitive while others felt, well, a bit too “robotic.”

“It’s not a miracle cure,” he admitted, a hint of a grin on his face. “It gave me some food for thought, and that’s valuable when you’re staring at a ball that just won’t fly the way you want.” He emphasized that the technology was a supplement, not a replacement for the countless hours spent with his coach and swing analysts.

The move sparked a wave of chatter on social media, with fans and pundits debating the role of AI in a sport that’s traditionally been about feel and intuition. Some praised DeChambeau for embracing innovation, while others wondered whether relying on a machine might dilute the human element that makes golf so compelling.

Regardless of the debate, DeChambeau’s willingness to experiment underscores a broader trend: athletes are increasingly looking beyond conventional training methods, mining data and algorithms for marginal gains. Whether the AI‑driven tweaks will translate into lower scores remains to be seen, but one thing is clear – DeChambeau isn’t shy about trying something new, even if it means chatting with a computer for a little swing wisdom.

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