We grew AI usage 52x, then cut our costs 90%
26 Aug 2026 We grew AI usage 52x, then cut our costs 90%. AI Share Fabricio Bloisi and Ioannis Zempekakis Using a frontier model is the right way to start with AI. The models are powerful, easy to access, and need almost no infrastructure.
- ▪26 Aug 2026 We grew AI usage 52x, then cut our costs 90%.
- ▪AI Share Fabricio Bloisi and Ioannis Zempekakis Using a frontier model is the right way to start with AI.
- ▪The models are powerful, easy to access, and need almost no infrastructure.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,894 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Prosus |
| Canonical URL | https://www.prosus.com/news-insights/2026/we-grew-ai-usage-52x-then-cut-our-costs-90-percent-heres-how |
| Publication time | Mon, 14 Sep 2026 21:00:51 +0000 |
| Retrieval time | 2026-09-14T21:26:51.485Z |
| Last seen | 2026-09-14T21:26:51.485Z |
| 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 | 2WUWhi-EOwfp · 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
26 Aug 2026 We grew AI usage 52x, then cut our costs 90%. Here’s how. AI Share Fabricio Bloisi and Ioannis Zempekakis Using a frontier model is the right way to start with AI. The models are powerful, easy to access, and need almost no infrastructure. But once AI runs the day-to-day operation of a business, the economics change. Billions of requests become millions of dollars. At Prosus, AI agents now work alongside 40,000 people and 5 million partners, serving 1 billion customers. Our token usage grew 52x last year, to 8.2 trillion tokens per month and our costs initially grew with it. Operating at that scale taught us something simple: to keep growing exponentially, we could not let our costs keep growing exponentially too.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Prosus.
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