You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
Artificial intelligence and jobs: evidence from online vacancies



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Vol 40 Issue S1

Artificial intelligence and jobs: evidence from online vacancies

Artificial intelligence and jobs: evidence from online vacancies

Daron Acemoglu
,
David Autor
,
Jonathon Hazell
and
Pascual Restrepo

We study the impact of artificial intelligence (AI) on labor markets using establishment-level data on the near universe of online vacancies in the United States from 2010 onward. There is rapid growth in AI-related vacancies over 2010-18 that is driven by establishments whose workers engage in tasks compatible with AI's current capabilities. As these AI-exposed establishments adopt AI, they simultaneously reduce hiring in non-AI positions and change the skill requirements of remaining postings. While visible at the establishment level, the aggregate impacts of AI-labor substitution on employment and wage growth in more exposed occupations and industries is currently too small to be detectable.

1 April 2022

Journal of Labor Economics
40(S1) , pp.S293-S340, 2022

DOI: 10.1086/718327

https://www.journals.uchicago.edu/doi/full/10.1086/718327

This Journal article is published under the centre's
Labour programme
.

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</reference>

<statements>
1. Critically, however, the aggregate effects of AI on employment and wage growth in more exposed occupations were, in that period, too small to be detectable—a Centre for Economic Performance reminder that firm-level restructuring can precede measurable aggregate effects.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.