Datasets:

uzenlabs
/

revolutio-statistics

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 3, saw 11

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 3, saw 11

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AI Disruption Statistics — US Employment by Industry

Machine-readable monthly US labor-market data behind Revolutio — an independent AI disruption intelligence project tracking which industries AI is actually disrupting.

What's inside

statistics.csv — one row per industry:

column	meaning
`industry_slug` / `industry`	industry identifier and display name
`bls_series` / `series_name`	BLS CES series ID and title (e.g. `CES5000000001`)
`employment_level_thousands`	employment level, thousands of persons
`employment_asof`	as-of date of the employment figure
`yoy_pct`	year-over-year employment change, percent
`openings_rate` / `openings_asof`	JOLTS job openings rate and as-of date
`layoffs_rate` / `layoffs_asof`	JOLTS layoffs and discharges rate and as-of date

Covers 12 industries plus total nonfarm. Every row carries its BLS series ID, so any number can be traced back to the official source.

Sources & method

All series come from the BLS Current Employment Statistics (CES) and JOLTS programs, retrieved via FRED. No estimation, no modeling — raw official series. Refreshed when the monthly employment report lands; the retrieval date is stamped in the CSV header and on the statistics page.

Uses

Journalism and commentary on AI and the labor market (free to cite with attribution)
Baseline data for research on AI adoption by industry
Cross-checking claims about "AI job losses" against official series

Citation

@dataset{revolutio_statistics_2026,
  author  = {Revolutio Research},
  title   = {AI Disruption Statistics: Employment by Industry},
  year    = {2026},
  url     = {https://revolutio.si/statistics/},
  note    = {Updated monthly},
  license = {CC BY 4.0}
}

Plain text: Revolutio Research (2026). AI Disruption Statistics: Employment by Industry. https://revolutio.si/statistics/

License

CC BY 4.0 — free to reproduce with attribution. The underlying data are US government works (public domain); this repo adds structure, series IDs, and monthly refreshes.