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
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 9, 12:40 PM EST
Kalshi
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.
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.
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.