Inside Cricket’s Smartest Backroom | Rajasthan Royals | ChatGPT @rajasthanroyals

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TL;DR

Rajasthan Royals uses ChatGPT and OpenAI tools across scouting, auctions, marketing, and ticketing to move faster and smarter than rivals.

Key Insights

Trillions of combinations — An IPL auction generates trillions of possible combinations across player availability, team budgets, and rival bidding strategies — OpenAI's query tool lets coaches ask questions and get answers in real time instead of waiting for an analyst.

Student hackathon shaped roster — Rajasthan Royals ran a hackathon called Super Selector where students across India built auction strategies using OpenAI; the winning approach was presented to Kumar Sangakara and used for actual player purchases.

Reduced production costs — ChatGPT image generation cut production costs and player time for their 2008 legacy campaign while letting the creative team scale ideas faster without traditional studio overhead.

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Deep Dive

Auction Strategy Gets Superhuman Speed

Matches are won before players step on the field, and the IPL auction is where strategy lives or dies. The complexity explodes because each team bids differently on overlapping targets while facing randomness in bidding patterns. Rajasthan built an OpenAI query tool that lets coaches speak into a laptop and instantly get the insights they need — player salary trends, opponent likely moves, squad gaps — without summoning an analyst. This compressed the feedback loop from hours to minutes.

AI Across Every Department

OpenAI isn't just for cricket operations. Marketing uses ChatGPT image generation to resurrect the 2008 founding story with Yusuf Pathan and the original rockstars, cutting studio costs and player time. HR, sponsorships, and finance all built AI into their workflows. Ticketing went full data-driven: they feed sales patterns to OpenAI and get recommendations on underperforming stands, pricing adjustments, and marketing gaps. The team says they can't remember how they functioned before this efficiency.

Talent Spotting Goes Both Ways

Just as Rajasthan scouts cricket talent, they're now hunting young AI talent. Last year they hosted Super Selector, a hackathon inviting students across India to design the best auction strategy. Contestants got creative with OpenAI in ways the backroom team hadn't considered — building novel models and tactics. The winners got flown to Abu Dhabi to pitch Kumar Sangakara and Giles. Their strategy was so solid it informed actual player acquisitions. For Rajasthan, tapping collective intelligence from young Indian builders keeps decisions fresh and prevents insular thinking.

Takeaways

✓Voice interface removes friction from data access — coaches asking questions directly beats analysts as middlemen.
✓Data value lives in speed and execution, not volume; Rajasthan's edge comes from asking smarter questions faster, not bigger datasets.
✓Open innovation through hackathons sources tactics you won't develop internally and identifies emerging technical talent simultaneously.

Key moments

0:40Trillions of auction combinations

“What we get is trillions of combinations that an auction can go to.”

1:04Coaches ask, AI answers instantly

“The coach can just simply speak to the laptop and he will then be able to get this information straight to him.”

2:34Hackathon winners shaped actual roster

“The winners of the hackathon were then flown out to Abu Dhabi where they presented their strategy to Kumar Sangakara and Giles. That strategy was actually used to help us make some key purchases.”

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