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AI and the Research Team — arXiv:2608.08437

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.08437
License (as archived): CC0-1.0
Archived: 2026-10-19T08:56:39.925Z
SHA-256 of the archived text: 0b9c99682f2af281aef9285a0a32700582fce540d618aeb90f0517f651efaffd
Stable URL of this page: https://metraipolis.com/documento/dc_9463bbc852ee

How to cite

AI and the Research Team — arXiv:2608.08437 — arXiv (en), https://arxiv.org/abs/2608.08437 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_9463bbc852ee (Metraipolis archive dc_9463bbc852ee, sha256 0b9c99682f2af281aef9285a0a32700582fce540d618aeb90f0517f651efaffd)

BibTeX

@misc{dc9463bbc852ee,
  title = {AI and the Research Team — arXiv:2608.08437},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.08437},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_9463bbc852ee; sha256 0b9c99682f2af281aef9285a0a32700582fce540d618aeb90f0517f651efaffd},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.08437. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Artificial intelligence is associated with larger research teams, yet in mathematics, among the most codifiable fields, individual researchers working with AI now produce research-grade results. A span-of-control model reconciles these observations. AI lowers execution cost, which expands laboratory scale, and automates codifiable tasks, which lowers the member share of each unit. Team size is therefore quasi-concave in AI capability, with at most one peak. The model predicts that a fully codifiable team peaks when effective automation coverage reaches a closed-form threshold, typically near complete coverage, and, among fields with shared primitives that possess an interior peak, those with less irreducibly human task content peak first. Under explicit priors, the 90 percent forecast intervals for the fully codifiable peak span 2026 to 2030.

Tema degli esploratori: economia dei servizi IA (retro-catalogo arXiv: annunci del 2026-08-11 in econ.GN).
Categorie arXiv: General Economics (econ.GN).
Pagina del lavoro: https://arxiv.org/abs/2608.08437 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T08:52:52.642Z dalla pagina https://arxiv.org/catchup/econ.GN/2026-08-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).