Why AI is booming, but productivity isn't
A 2026 experiment with 515 startups gives us a glimpse of that gap. Every firm got the same AI tools, training, and support. A random half also saw how other firms reorganized their work around AI.
- ▪A 2026 experiment with 515 startups gives us a glimpse of that gap.
- ▪Every firm got the same AI tools, training, and support.
- ▪A random half also saw how other firms reorganized their work around AI.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,501 of its stories.
Story provenance
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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 | Learn With Me |
| Canonical URL | https://research.socialcapital.com/p/ai-roi |
| Publication time | Sat, 26 Sep 2026 01:00:55 +0000 |
| Retrieval time | 2026-09-26T01:10:24.827Z |
| Last seen | 2026-09-26T01:10:24.827Z |
| 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 | X4fPqQeC00Vk · 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
A 2026 experiment with 515 startups gives us a glimpse of that gap. Every firm got the same AI tools, training, and support. A random half also saw how other firms reorganized their work around AI. For the typical startup, revenue barely moved in either group. But almost all of the gains came from the top 10% of firms, and the treatment group pulled furthest ahead, enough to push its revenue to 1.9x the control group overall.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Learn With Me.
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