# Will OpenAI be assigned to Information Technology in the S&P 500

> Information Technology leads at 83%, runner-up 9% across 6 winner-take-all outcomes — refreshed 36 min ago.

URL: https://simplefunctions.dev/odds/openaisector
Updated: 2026-07-24T01:20:50.303Z
Category: technology · Topic: ai-tech
Status: active
Closes: 2028-01-11

## Headline

- Leader: Information Technology at 83%
- Runner-up: Unassigned at 9%
- Outcomes: 6 (winner-take-all)
- Venue: Kalshi (6 contracts)
- 24h volume: $7

## Bound contracts (6)

| Outcome | Price | 24h | Volume | Venue | Slug |
|---|---|---|---|---|---|
| Information Technology | 83¢ | −1pp | $7 | kalshi | /markets/will-openai-be-assigned-to-information-technology-kalshi-kxopenaisector-xx-informati |
| Unassigned | 9¢ | +1pp | $0 | kalshi | /markets/will-openai-be-assigned-to-unassigned-unassigned-kalshi-kxopenaisector-xx-unassigne |
| Communication Services | 5¢ | — | $0 | kalshi | /markets/will-openai-be-assigned-to-communication-services-kalshi-kxopenaisector-xx-communica |
| Health Care | 4¢ | — | $0 | kalshi | /markets/will-openai-be-assigned-to-health-care-health-care-kalshi-kxopenaisector-xx-healthcar |
| Materials | 4¢ | — | $0 | kalshi | /markets/will-openai-be-assigned-to-materials-materials-kalshi-kxopenaisector-xx-materials |
| Real Estate | 4¢ | — | $0 | kalshi | /markets/will-openai-be-assigned-to-real-estate-real-estate-kalshi-kxopenaisector-xx-realestat |

## 30-day trajectory

| Day | Information Technology | Unassigned | Communication Services |
|---|---|---|---|
| 2026-06-24 | 86 | — | — |
| 2026-07-03 | 88 | — | 5 |
| 2026-07-10 | 84 | — | — |
| 2026-07-13 | 83 | 9 | — |
| 2026-07-16 | — | 10 | — |
| 2026-07-17 | 82 | — | — |
| 2026-07-21 | 82 | — | — |

_19 days of price history captured. Each row is the daily mean of intraday 5-min captures._

## Analysis

This represents the market's assessment that when OpenAI joins the S&P 500, it will be classified under Information Technology rather than Communication Services or remain unassigned. The 73% probability reflects Information Technology as the leading outcome, though 27% of contract value is allocated to alternatives. Classification depends on S&P Dow Jones Indices' methodology, which categorizes companies based on revenue sources and business focus. OpenAI's primary revenue comes from AI services and software, pointing toward Information Technology, but its consumer-facing Chat interface and content distribution could support Communication Services classification. The catalyst is OpenAI's S&P 500 inclusion announcement, which will specify the assigned sector. Until then, uncertainty persists around how index administrators weigh OpenAI's diverse revenue streams and whether they prioritize enterprise AI services or consumer-facing products in their classification decision.

### Key factors

- S&P Dow Jones Indices' official classification methodology favors Information Technology for software and AI service providers with enterprise revenue
- OpenAI's revenue composition—estimated heavily weighted toward enterprise API and ChatGPT Plus subscriptions—supports IT classification over Communication Services
- Historical precedent shows AI and software companies like NVIDIA and Palantir classified as Information Technology, establishing a baseline expectation
- Communication Services classification would require S&P to emphasize OpenAI's consumer products (ChatGPT) as primary business driver, contradicting typical IT sector assignments
- No official S&P sector pre-announcement has been disclosed, making the 27% non-IT probability dependent on unexpected revenue breakdown or reclassification policy changes

## Methodology

Headline is the **leader's price**, not an arithmetic mean — averaging disjoint winner-take-all outcomes is meaningless. Per-outcome prices come from the venue's last-traded mid; cross-venue values are simple means across contracts on each venue.

## How to use this data

- HTML: https://simplefunctions.dev/odds/openaisector
- JSON: https://simplefunctions.dev/api/public/odds?slug=openaisector
- Topic hub: https://simplefunctions.dev/predictions/ai-tech

## License

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