#aicosts
Live, measured metrics for the hashtag #aicosts from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aicosts
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:53 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 05:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:53 UTCEverything below is measured over the latest 28 public posts (spanning ~11224 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (27) · Italian (1)
Avg boosts / post: 0.4
Top of the latest posts
AI isn't automatically cheaper than people. It's a different cost structure. Salary is fixed; AI is billed per token. Savings only land when 4 things are true: • High-volume, repetitive work • Right-sized models (not GPT-4 for everything) •
#ChineseAImodels are gaining traction among US companies due to their competitive #performance and significantly #lowercosts compared to leading American rivals like #OpenAI and #Anthropic. The rise of #opensource and #openweight #AI from C
The rep you replaced cost $60K. The AI that replaced them is on pace for $95K, not because AI is a scam, but because "salary vs per-query price" skips volume, human review, and model tier. AI isn't cheaper by default. It's a different cost
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/aicosts