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Before Patrick Mahomes laced up his cleats for his 2026-2027 NFL regular-season debut, US prediction markets had already cleared a historic benchmark for the opening week of the season.

Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.

Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.

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“People will lose money faster on exchanges for lots of reasons,” Marantelli says. “It inherently increases spend, volatility, lots of things. And you’re playing against a sharper audience than you’re playing against at the DraftKings sportsbook.”

He compares the effect with sportsbook cash-out features, which gave customers more apparent control over their bets but may also have encouraged greater spending. The crucial difference is that an exchange customer can be facing a specialist whose entire business is identifying inaccurately priced contracts.

Kendrick sees a warning in the history of betting exchanges. In their early growth phase, there was sufficient retail liquidity for numerous market makers to profit. As that retail pool weakened, the sharper firms increasingly found themselves trading against one another.

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There was also strong interest in prioritisation tools, with 75% placing high value (8/10 or above) on daily prioritised action guidance for each player. 

However, 38% expressed concern that adopting AI might reduce the personal, human touch in VIP management. 

Within the survey, none of the respondents selected AI or automation as their primary tool for managing VIP portfolios.