
DraftKings Built an AI Model to Target Profitable Losers, Report Claims
If you’ve ever used DraftKings, you’ve probably noticed that the company is prone to emailing users, and—if they have the mobile app—sending push notifications. Redditors have described these as difficult to turn off. According to the Times’ investigation, in 2023, DraftKings built a model designed to score users on “elasticity.” On its face, this is an economic concept that doesn’t relate directly to traits like problem gambling.
- ▪If you’ve ever used DraftKings, you’ve probably noticed that the company is prone to emailing users, and—if they have the mobile app—sending push notifications.
- ▪Redditors have described these as difficult to turn off.
- ▪According to the Times’ investigation, in 2023, DraftKings built a model designed to score users on “elasticity.” On its face, this is an economic concept that doesn’t relate directly to traits like problem gambling.
Gizmodo files mainly under tech. We currently carry 1,170 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Gizmodo |
| Canonical URL | https://gizmodo.com/draftkings-built-an-ai-model-to-target-profitable-losers-report-claims-2000814536 |
| Publication time | Mon, 21 Sep 2026 09:00:33 +0000 |
| Retrieval time | 2026-09-21T09:03:48.234Z |
| Last seen | 2026-09-21T09:03:48.234Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | yKoT55XoHnVG · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
If you’ve ever used DraftKings, you’ve probably noticed that the company is prone to emailing users, and—if they have the mobile app—sending push notifications. Redditors have described these as difficult to turn off. A report from the New York Times, based on interviews with over 40 former DraftKings employees, and apparently a look at some of the company’s internal documents, has some possible insight about what DraftKings is supposedly up to: using machine learning to target the valuable resource commonly known as “losers.” One ex-DraftKings employee who went on the record to the Times, Jayden Butts, said his basic task was to apply an AI model that evaluated the worth of users based on the following question: “Is this person going to give us more than we’re giving them?” If the answer…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Gizmodo.