TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Science and Technology
Hospitality AI adoption in August
kalshi

Hospitality AI adoption in August

Volume:
$10,532

Above 32%

 - Kalshi

Above 32% - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 9, 2026

Closed: Sep 9, 11:22 AM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Above 32%

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,385
N/A
N/A
$2,178
1w 1d 9h
Yes
kalshi

Above 29%

100%
Yes 100¢No 0¢
100¢
N/A
$20
N/A
N/A
$5
1w 1d 9h
Yes
kalshi

Above 34%

0%
Yes 0¢No 100¢
100¢
N/A
$4,763
N/A
N/A
$1,400
1w 1d 9h
No
kalshi

Above 35%

0%
4%
Yes 0¢No 100¢
100¢
N/A
$1,324
N/A
N/A
$1,206
1w 1d 9h
No
kalshi

Above 33%

0%
18%
Yes 0¢No 100¢
100¢
N/A
$1,041
N/A
N/A
$831
1w 1d 9h
No
kalshi

Above 30%

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 9h
Yes
kalshi

Above 31%

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 9h
Yes
kalshi

Above 36%

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 9h
No
Total markets: 8

Description

The adoption of AI in the hospitality sector for August 2026 will be measured by the Ramp AI Index. This index tracks how widely AI tools are being used in hotels, restaurants, and related services during that month.

Kalshi

Each market resolves to Yes if the Ramp AI Index: Sector adoption rate for Accommodation and food services in August 2026 exceeds the specified threshold (ranging from 29% to 35%). The determination is based on the first publicly reported value for that month, and any subsequent corrections or revisions do not affect the outcome. Kalshi is not affiliated with Ramp, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard tracks real-time odds and price history for the Hospitality AI adoption market, alongside 24-hour volume of $2,060. It shows how traders on Kalshi are pricing the likelihood of AI adoption rates in the hospitality sector hitting certain thresholds during August. The interface updates continuously, letting users monitor shifts in market sentiment and trading activity as new information emerges.

Compared to traditional analyst forecasts, prediction market odds for this market often reflect a more nuanced, real-time aggregation of beliefs from traders with direct skin in the game. While analysts may issue periodic reports based on surveys or historical trends, market prices adjust instantly to new data, whispers, or unexpected developments. This can lead to divergence — for example, analysts might predict steady growth, while traders price in a sharper uptick if early signals look strong.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set prices through a continuous order book where buyers and sellers post bids and asks. The top outcome’s current implied probability reflects the balance of orders — essentially, how much capital is backing each side. Volume of $10,532 helps gauge liquidity and how actively the market is trading, while price fluctuations respond to new information flows and position adjustments from participants.

This market resolves around Oct 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final determination will hinge on whether the documented AI adoption rate in the hospitality sector for August meets the specified threshold, based on data from reputable industry sources and official statistics. No further interpretation or judgment is needed beyond confirming the published figures.

Several signals could shift this market before it settles. Major tech announcements, partnerships between AI firms and hotel chains, regulatory updates affecting AI deployment, or early data releases from industry groups could all influence trader sentiment. Unexpected economic shifts or widespread tech outages might also cause volatility. Any credible preview or estimate of August adoption rates — even if preliminary — is likely to create noticeable price movement as traders adjust positions.