TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

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39%

VS.

Kalshi:

61%

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Science and Technology
AI spend per employee (Top 10%) in August
kalshi

AI spend per employee (Top 10%) in August

Volume:
$3,027

Above $700

 - Kalshi

Above $700 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 9, 2026

Closed: Sep 9, 12:40 PM EST

kalshi

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 $700

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,519
N/A
N/A
$1,826
1w 1d 8h
No
kalshi

Above $750

0%
Yes 0¢No 100¢
100¢
N/A
$479
N/A
N/A
$479
1w 1d 8h
No
kalshi

Above $800

0%
Yes 0¢No 100¢
100¢
N/A
$29
N/A
N/A
$15
1w 1d 8h
No
kalshi

Above $650

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 8h
Yes
kalshi

Above $850

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 8h
No
kalshi

Above $900

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 8h
No
kalshi

Above $950

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
1w 1d 8h
No
kalshi

Above $1000

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

Description

This event tracks projected investment levels in artificial intelligence technologies among leading organizations, focusing specifically on the highest-spending ten percent of employees during August 2026. It reflects expectations about how aggressively top companies might adopt and integrate AI tools into their operations within that timeframe.

Kalshi

If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $650, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $700, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $750, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $800, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $850, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $900, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $950, then the market resolves to Yes. If the Ramp AI Index: Spend per employee (Top 10%) for August 2026 is above $1000, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the AI spend per employee market shows real-time odds, price history, and 24-hour volume of $1,157. It provides a snapshot of trader sentiment and market dynamics for this prediction, allowing users to monitor how expectations for AI investment per employee among top spenders evolve over time.

Currently, odds from this market reflect a different outlook than many analyst forecasts. While analysts may lean toward specific expectations based on corporate earnings and tech trends, traders are pricing in a range that suggests higher uncertainty or alternative scenarios. The gap between these views can highlight areas where market participants diverge from traditional research, often reacting to new data or sentiment shifts faster than formal reports.

This market resolves around Oct 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on measured AI spending per employee among the top 10% of spenders for the relevant month, closing the market once official data or trusted secondary sources make the figure public.

Several signals could shift this market before it closes. Major tech earnings reports, new government incentives for AI adoption, or significant changes in corporate strategy around generative AI could all influence expectations. Additionally, broader economic trends affecting IT budgets, such as interest rate moves or sector-specific policy changes, may cause traders to adjust their positions as new information emerges.