{"id":51277582,"url":"https://github.com/aivinay/ai-spend-cap-tracker","last_synced_at":"2026-06-29T22:02:12.526Z","repository":{"id":368090308,"uuid":"1283473299","full_name":"aivinay/ai-spend-cap-tracker","owner":"aivinay","description":"A sourced, public tracker of organizations capping or cutting employee AI-coding spend (the 2026 'tokenminimizing' shift).","archived":false,"fork":false,"pushed_at":"2026-06-29T01:15:14.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-29T03:09:29.625Z","etag":null,"topics":["ai","ai-coding","ai-cost","claude-code","dataset","developer-tools","github-copilot","llm","tokenminimizing","tracker"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aivinay.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-06-29T00:51:03.000Z","updated_at":"2026-06-29T01:31:51.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/aivinay/ai-spend-cap-tracker","commit_stats":null,"previous_names":["aivinay/ai-spend-cap-tracker"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/aivinay/ai-spend-cap-tracker","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aivinay%2Fai-spend-cap-tracker","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aivinay%2Fai-spend-cap-tracker/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aivinay%2Fai-spend-cap-tracker/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aivinay%2Fai-spend-cap-tracker/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aivinay","download_url":"https://codeload.github.com/aivinay/ai-spend-cap-tracker/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aivinay%2Fai-spend-cap-tracker/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34944147,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-29T02:00:05.398Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","ai-coding","ai-cost","claude-code","dataset","developer-tools","github-copilot","llm","tokenminimizing","tracker"],"created_at":"2026-06-29T22:02:11.152Z","updated_at":"2026-06-29T22:02:12.520Z","avatar_url":"https://github.com/aivinay.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# The AI Spend Cap Tracker\n\nA neutral, sourced, public record of organizations capping, cutting, or centralizing **employee AI-coding spend** — the 2026 shift from \"use AI as much as possible\" to rationing (\"tokenmaxxing → tokenminimizing\").\n\n**Last updated:** 28 Jun 2026\n\nEvery entry in the table below is backed by a named source. Spotted one we're missing? See [CONTRIBUTING](CONTRIBUTING.md).\n\n## Tracker\n\n| Company | What they did | Figure | Date | Tool(s) | Source(s) |\n|---|---|---|---|---|---|\n| **Uber** | Per-employee monthly cap on agentic AI coding spend (per tool; exceedable with approval), after exhausting its 2026 AI budget in ~4 months. | $1,500 / month per tool | Jun 2026 | Cursor, Claude Code | [Bloomberg](https://www.bloomberg.com/news/articles/2026-06-02/uber-caps-usage-of-ai-tools-like-claude-code-to-cut-costs) · [TechCrunch](https://techcrunch.com/2026/06/02/uber-caps-employee-ai-spending-after-blowing-through-budget-in-four-months/) |\n| **Microsoft** | Cancelling internal Claude Code licenses in the Experiences + Devices division; engineers moved to GitHub Copilot CLI. | Reported ~$500–$2,000 / engineer / month | by 30 Jun 2026 | Claude Code → GitHub Copilot CLI | [Windows Central](https://www.windowscentral.com/microsoft/microsoft-cancels-claude-code-licenses-shifting-developers-to-github-copilot-cli-a-move-likely-driven-by-financial-motives) · [TechRadar](https://www.techradar.com/pro/microsoft-may-discontinue-claude-code-internally-as-it-looks-to-push-users-towards-github-copilot) |\n| **Meta** | Capping employee AI token usage with real-time spend tracking via a new \"AI Gateway\" dashboard; dismantled its \"Claudeonomics\" usage leaderboard (73.7T tokens in ~30 days, 85k+ employees) and is nudging staff to in-house MetaCode over Claude, with internal AI cost tracking toward \"billions\" in 2026. | Per-employee token caps; costs \"approaching billions\" | Apr–Jun 2026 | Claude → in-house MetaCode (\"AI Gateway\") | [Fortune](https://fortune.com/2026/04/09/meta-killed-employee-ai-token-dashboard/) · [The Next Web](https://thenextweb.com/news/tokenminimizing-companies-cap-employee-ai-spending) |\n| **Walmart** | Replaced unlimited token usage with a set per-employee token allowance on its in-house \"Code Puppy\" AI agent after demand outran budget (announced by Global CTO Suresh Kumar). | Per-employee token allowance (previously unlimited; exact figure undisclosed) | Jun 2026 | Code Puppy (in-house) | [Bloomberg](https://www.bloomberg.com/news/articles/2026-06-01/walmart-caps-usage-of-an-ai-tool-for-employees-after-high-demand) · [Arkansas Democrat-Gazette](https://www.arkansasonline.com/news/2026/jun/02/walmart-puts-leash-on-employee-code-puppy-ai-use/) |\n| **AT\u0026T** | Began limiting some employees' access to GitHub Copilot amid rising AI-tooling costs. | Access limits for certain staff (exact cap undisclosed) | Jun 2026 | GitHub Copilot | [The Next Web](https://thenextweb.com/news/tokenminimizing-companies-cap-employee-ai-spending) · [GuruFocus](https://www.gurufocus.com/news/8920359/att-limits-ai-tool-usage-amid-rising-costs) |\n\n## Counter-examples / reversals\n\n- **Amazon** — earlier restricted Claude Code, but after internal developer pushback (a ~1,500-endorsement employee thread) **expanded** access to external agentic tools (Claude Code + Codex, on Bedrock) company-wide in May 2026, beyond its in-house Kiro — currently loosening, not capping. Sources: [Futurism](https://futurism.com/artificial-intelligence/amazon-kiro-coding) · [The New Stack](https://thenewstack.io/amazon-coding-agents-developers/)\n\n## Inclusion rule\nAn organization is listed in the table only with a **named, linkable source** (reputable outlet or first-party statement). Record the mechanism precisely (per-tool dollar cap vs license cancellation vs centralization). Unconfirmed leads stay in \"Candidate entries\" marked [VERIFY]. Figures change — re-check periodically.\n\n## Why this exists\nA spend cap is a blunt instrument: it throttles an organization's highest-leverage engineers and does nothing about proprietary code leaving for third-party models. The structural alternative is **routing, not rationing** — a layer that sends only what's worth it to a premium model and keeps sensitive work local. A reference implementation of that pattern is [Switchboard](https://github.com/aivinay/switchboard) (MIT; reproducible benchmark, [DOI](https://doi.org/10.5281/zenodo.20836918)).\n\n## License\nData licensed under CC BY 4.0. Contributions welcome.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faivinay%2Fai-spend-cap-tracker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faivinay%2Fai-spend-cap-tracker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faivinay%2Fai-spend-cap-tracker/lists"}