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Ex Manchester United Player Uses ChatGPT to Negotiate Contract at New Club | AIM
Demetri Mitchell used the AI tool, and finalised a deal on his own while moving to Leyton Orient, from Exeter City FC. Former Manchester United football player Demetri Mitchell recently revealed how he used ChatGPT to negotiate a contract with his current football club, the London-based Leyton
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AI agent? Ex-Utd prospect used ChatGPT for move
Mitchell began his career at Old Trafford, going on to make one league appearance for the club before spells at Hearts, Blackpool, Hibernian and Exeter City. This summer, the 28-year-old left Exeter to join Orient on a free transfer and has said he navigated the move without an agent, a largely
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Demetri Mitchell, a former Manchester United player, utilized ChatGPT to negotiate his contract with Leyton Orient, bypassing traditional agent services. This unconventional approach highlights the potential impact of AI in sports negotiations.
In an unprecedented move that could potentially reshape the landscape of football negotiations, former Manchester United player Demetri Mitchell has revealed his use of artificial intelligence to secure his latest contract. The 28-year-old left-back, who now plays for Leyton Orient in League One, turned to ChatGPT, an AI language model, to navigate the intricacies of his transfer deal
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Source: AIM
Mitchell, who spent 13 years at Manchester United from 2007 to 2020, found himself without an agent when the opportunity to join Leyton Orient arose. Rather than scrambling to find new representation, he took matters into his own hands. Speaking on the 'From My Left' podcast, Mitchell detailed how he leveraged ChatGPT's capabilities:
"I started using ChatGPT," Mitchell explained. "Asking how to negotiate a deal, what to say in it..."
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The player input specific details about his career, living costs in London, and family situation into the AI tool. This information helped ChatGPT generate tailored advice for his negotiations
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.Mitchell believes that while a human agent might have secured a marginally better deal, the difference would have been negligible after accounting for agent fees. "An agent might have gotten me a couple [of] hundred [pounds] more," Mitchell stated, "but the fee I had to pay the agent would have 'eaten' up the difference anyway."
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Moreover, by handling negotiations himself, Mitchell was able to secure the agent's typical fee as a signing-on bonus, potentially making his AI-assisted approach more lucrative
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Mitchell's decision to use AI wasn't solely motivated by financial considerations. He offered a scathing critique of the current state of football agency, particularly for players in lower leagues. Mitchell outlined three types of agents:
"When you're in the lower leagues, it's difficult to get a good agent, because that's all you've got to work with," Mitchell explained
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.Mitchell's innovative approach to contract negotiations could signal a shift in how players, especially those in lower leagues, approach transfers and contract renewals. While it's unclear whether this method will become widespread, it undoubtedly highlights the potential for AI to disrupt traditional practices in professional sports.
As AI continues to evolve and become more sophisticated, it's possible that we'll see more players and even clubs turning to these tools for various aspects of the beautiful game, from contract negotiations to performance analysis and beyond.
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