ChatGPT predicts Bears’ final 53-man roster for 2026 NFL season – and here’s where it’s wrong
The Chicago Bears took huge steps forward last season, and they even went on to win the NFC North with an 11-6 record. The team’s rebuild was aggressive and has payed off quickly. Chicago has taken numerous offensive weapons early in the draft; they’ve prioritized adding veteran offensive linemen to ensure said weapons can perform at their best, and they’ve made key defensive additions to balance out the roster.
Just who will make the roster this season, though? ChatGPT provided predictions for who it thinks will make the 53-man roster, but did the artificial intelligence get it all right?
Offense

Quarterback – 3 – Caleb Williams, Tyson Bagent, Case Keenum
Running back – 3 – D’Andre Swift, Kyle Monangai, Roschon Johnson
Wide receiver – 6 – Rome Odunze, Luther Burden, Kalif Raymond, Zavion Thomas, Jahdae Walker, Scotty Miller
Tight end – Colston Loveland, Cole Kmet, Sam Roush
Offensive line – 11 – Braxton Jones, Jedrick Willis Jr., Kiran Amegadjie, Ozzy Trapilo, Theo Benedet, Joe Thuney, Jonah Jackson, Garrett Bradbury, Logan Jones, Darnell Wright, Jordan McFadden
The Chicago Bears’ offense has sky-high potential. Of course, Caleb Williams was one of the most highly touted prospects in recent memory before he was drafted first overall, and this will surely be the year he breaks the streak of no Bears QB ever surpassing the 4,000-yard threshold. ChatGPT predicts that the Bears will roster three quarterbacks, including journeyman Case Keenum and fourth-year player Tyson Bagent, who has started four games for Chicago.
Williams will have plenty of weapons to throw to and hand the ball off to this season. Rome Odunze and Luther Burden are recent top two-round picks, although the wide receiver depth did fall off because of the trading of D.J. Moore. Luckily, Colston Loveland and Cole Kmet form one of the best tight end duos in the NFL. D’Andre Swift is the team’s starting running back, but expect Kyle Monangai and Roschon Johnson to get plenty of carries, too.
The biggest surprise with ChatGPT’s roster prediction was that the AI thinks that 11 offensive linemen will make the team. Chicago made drastic improvements when it comes to protection last year, and 11 blockers are just too many to have. Chicago should allocate one of those roster spots elsewhere.
Defense
Defensive line – 9 – Montez Sweat, Dayo Odeyingbo, Austin Booker, Marcus Davenport, Gervon Dexter, Grady Jarrett, Neville Gallimore, Kentavius Street, Jordan van den Berg
Linebacker – 5 – Devin Bush, T.J. Edwards, D’Marco Jackson, Jack Sanborn, Tony Field
Cornerback – 6 – Jaylon Johnson, Kyler Gordon, Tyrique Stevenson, Malik Muhammad, Josh Blackwell, Jaylon Jones
Safety – 4 – Dillon Thieneman, Xavier Woods, Elijah Hicks, Cam Lewis
The Bears led the NFL in interceptions last year, but the secondary looks a whole lot different this year. Even so, key contributors like Jaylon Johnson and Tyrique Stevenson returned to the team. Chicago also invested first-round draft capital in Dillon Thieneman, and hopes are high for Coby Bryant, who ChatGPT admits will begin the year on injured reserve. Bryant’s injury could lead to Skyler Thomas or Terell Smith making the opening day roster, but ChatGPT has those players on the wrong side of the roster bubble.
When it comes to the front seven, Noah Sewell and Keyshaun Elliot’s injuries could create opportunities for Tony Fields and Jack Sanborn to make the roster. They’d join a linebacker core that includes Devin Bush, T.J. Edwards, and D’Marco Jackson. The projected defensive line here includes pass rushers like Montez Sweat and Dayo Odeyingbo, as well as run stoppers such as Grady Jarrett.
Special Teams
Specialists – 3 – Cairo Santos, Tory Taylor, Luke Elkin
Cairo Santos and Tory Taylor will be kicking and punting for the Bears this season. However, ChatGPT predicted Luke Elkin to win a long snapper job that he already lost. Elkin was waived in favor of Beau Gardner.
The post ChatGPT predicts Bears’ final 53-man roster for 2026 NFL season – and here’s where it’s wrong appeared first on ClutchPoints.
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