Jungle Wheel

About Jungle Wheel

The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”

The 2026 tournament demonstrated why Kambi believes this total integration of AI is necessary. Sportsbooks are no longer built primarily around match results and traditional pre-match markets. Bettors increasingly expect to construct wagers around individual players and specific moments within a game.

About Jungle Wheel

“The decision we made today was the right decision to deliver on the remit that Congress gave us to ensure stable prices… Some months ago I said we will deliver stable prices, today’s action is consistent with that,” Warsh said at the Fed press conference.

For the gaming industry, the marked economic shift over the course of 2026 and a return to an elevated interest-rate environment after years of post-Covid easing could dissipate some of the optimism that prevailed at the onset of this year.

Many top gaming stocks have underperformed relative to the broader market in recent years, and most of the M&A activity has been facilitated by private equity and other institutions that can more readily capitalise on depressed valuations. There had been hope that rates would start to fall and help alleviate those pressures.

What is Jungle Wheel?

In the old model, Grenstad says, the product owner decided what to build, the developer decided how to build it, QA tested it and operations eventually handled the release.

As discussed last month, QA has become part of the process rather than a final stage. Product engineers consider from the planning stage what can be automated and what needs manual testing, while QA specialists now strengthen automation and identify gaps in coverage.

The responsibility for a piece of work increasingly extends from identifying the problem to building, releasing and measuring the result.