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Statistical Leadership of What? Statistics After AI

  • Anders Gorst-Rasmussen
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Abstract

Statisticians have spent over a century arguing that we are more than calculators, usually by pointing to what else we know. AI is making that defense harder, since the list of what only statisticians can do grows shorter with each model release. AI makes claims cheap to generate and may eventually make the statistics behind them cheap too. However, a model cannot be answerable in the way that statistical practice requires. Statistical leadership then becomes a question of which claims we are there to answer for, including the ones we answer for in advance by building judgment into systems.

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Cite

BibTeXRIS
BibTeX
@misc{gorstrasmussen2026statistical,
  title = {{Statistical Leadership of What? Statistics After AI}},
  author = {Anders Gorst-Rasmussen},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2608.29629},
  eprint = {2608.29629},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.29629},
}
RIS
TY  - UNPB
TI  - Statistical Leadership of What? Statistics After AI
AU  - Anders Gorst-Rasmussen
PY  - 2026
DA  - 2026/08/30
PB  - arXiv
DO  - 10.48550/arxiv.2608.29629
UR  - https://arxiv.org/abs/2608.29629
AB  - Statisticians have spent over a century arguing that we are more than calculators, usually by pointing to what else we know. AI is making that defense harder, since the list of what only statisticians can do grows shorter with each model release. AI makes claims cheap to generate and may eventually make the statistics behind them cheap too. However, a model cannot be answerable in the way that statistical practice requires. Statistical leadership then becomes a question of which claims we are there to answer for, including the ones we answer for in advance by building judgment into systems.
ER  -