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sportsMar 20, 20261:40

Microsoft Copilot's NFL Mock Draft: Hits & Misses

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USA Today Sports tests Microsoft Copilots NFL draft prediction skills, revealing AIs struggle with fresh sports updates and nuances like team trades. Despite initial challenges, Copilot delivers a first-round mock draft with mixed results, sparking debates among fans and analysts. The experiment underscores AIs potential in identifying team needs while highlighting its limitations in capturing sports intricate details.

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Microsoft Copilot's NFL Mock Draft: Hits & Misses

NFL News Today | 2 Min News | The Daily News Now!

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NFL News Today | 2 Min News | The Daily News Now!Microsoft Copilot's NFL Mock Draft: Hits & Misses. Machine-transcribed; use the interactive transcript above to jump the player to any line.

0:00Welcome to NFL News Today. Two minutes of updates that matter to NFL fans, hit subscribe and stay connected. USA Today Sports put Microsoft co-pilot to the test again with a 2026 NFL mock draft for the first 32 picks. About a month and a half after the AI nailed a solid version ahead of Super Bowl 60, this round brought more challenges. The chatbot first spit out wrong draft orders and even made up players, showing how tough it is for these models to track fresh sports updates. After some back and forth prompting, they refined it with clear instructions, use the official draft order, stick to eligible prospects and avoid. Duplicates, co-pilot finally delivered a full first round mock that mostly hit the mark on basics, but quarks popped up right away. Fans and analysts had mixed takes on the picks. Some made sense, like edge rushers to teams needing pass rush help or tackles to lines in rebuild mode. Players raise eyebrows, such as a running back, going number 2 to the Jets, who just tacked

1:01their star back or wide receivers to squads already. Loaded at the position, deeper dives revealed ongoing hiccups, including current NFL players slipped in early on, and odd late round choices like a quarterback to the Patriots, fresh off a strong season with their young star. The AI got credit for spotting needs like linebackers for the Titans or safeties for the Giants, but it doubled down on positions for teams that didn't need it. This experiment highlights how AI can grasp big picture teen gaps yet stumble on nuances like recent trades or franchise tags, leaving humans to refine the fun of draft speculation.

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