{"id":"https://openalex.org/W7162445417","doi":"https://doi.org/10.48550/arxiv.2605.23958","title":"AI in the Enterprise: How People Use M365 Copilot Chat","display_name":"AI in the Enterprise: How People Use M365 Copilot Chat","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7162445417","doi":"https://doi.org/10.48550/arxiv.2605.23958"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.23958","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137052327","display_name":"Scott Counts","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Counts, Scott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137043129","display_name":"Yan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137058127","display_name":"Jing Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137064822","display_name":"Himanshu Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Himanshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137014705","display_name":"Andrey Zaikin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaikin, Andrey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137033447","display_name":"Rui Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137071751","display_name":"Alperen Kok","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kok, Alperen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137033089","display_name":"Gorkem Ozer Yilmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilmaz, Gorkem Ozer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051257652","display_name":"Siddharth Suri","orcid":"https://orcid.org/0000-0002-1318-8140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suri, Siddharth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077023880","display_name":"Kiran Tomlinson","orcid":"https://orcid.org/0000-0002-0300-0845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomlinson, Kiran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042418453","display_name":"Sonia Jaffe","orcid":"https://orcid.org/0000-0001-8924-0294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaffe, Sonia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001043021","display_name":"Will Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Will","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3562000095844269,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3562000095844269,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.16869999468326569,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.09950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.6758000254631042},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.5820000171661377},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5442000031471252},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.28060001134872437}],"concepts":[{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.6758000254631042},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600000023841858},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.2847000062465668},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2778519782","wikidata":"https://www.wikidata.org/wiki/Q1974060","display_name":"Need to know","level":2,"score":0.24879999458789825},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2433999925851822},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24199999868869781}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"M365":[0,37,70,105,111,198],"Copilot":[1,38,71,106,112,199],"is":[2,113,186,208],"used":[3],"every":[4],"week":[5],"by":[6],"millions":[7],"of":[8,21,44,66,80,83,93,99,194,213],"people":[9,46],"across":[10,171,202],"more":[11],"than":[12],"a":[13,41,81,90,97,156],"million":[14,86],"companies":[15],"around":[16],"the":[17,27,179,191,217,221],"world":[18],"as":[19,115,162],"part":[20],"their":[22],"workflows.":[23],"Uniquely":[24],"positioned":[25],"in":[26,178,204,210,216],"AI":[28,48,226],"landscape":[29],"given":[30],"its":[31],"near-exclusive":[32],"use":[33,47],"for":[34,49,119,130,224],"work":[35,50,101,176,195],"purposes,":[36],"can":[39],"offer":[40],"clear":[42],"picture":[43],"how":[45],"and":[51,77,136,138,140,143,164,167,174,207],"where":[52,190],"that":[53,61,110,184],"usage":[54,62,185],"may":[55],"expand":[56],"next.":[57],"This":[58],"paper":[59],"characterizes":[60],"through":[63],"direct":[64],"classification":[65,92,98],"user":[67,94],"interactions":[68],"with":[69,96,104,197],"Chat.":[72,107],"Based":[73],"on":[74,128],"an":[75,116],"anonymized":[76],"privacy-preserving":[78],"analysis":[79],"sample":[82],"approximately":[84],"5.5":[85],"sessions,":[87],"we":[88],"combine":[89],"learned":[91],"intent":[95],"O*NET":[100],"activities":[102],"done":[103,177,196],"We":[108],"find":[109],"emerging":[114],"everyday":[117],"assistant":[118],"knowledge":[120],"work:":[121],"writing":[122],"dominates,":[123],"but":[124,152,188],"users":[125],"also":[126],"rely":[127],"it":[129],"information":[131],"retrieval,":[132],"analysis,":[133],"decision":[134],"making":[135],"strategizing,":[137],"evaluating":[139],"diagnosing":[141],"programs":[142],"systems,":[144],"among":[145],"others.":[146,211],"Information":[147],"seeking":[148],"tasks":[149],"remain":[150],"common,":[151],"time":[153],"trends":[154],"suggest":[155,220],"relative":[157,192,214],"shift":[158],"away":[159],"from":[160],"``chat":[161],"search''":[163],"toward":[165],"content":[166],"communication-related":[168],"work.":[169],"Comparisons":[170],"occupational":[172],"groupings":[173],"to":[175],"labor":[180,218],"market":[181,219],"further":[182],"show":[183],"broad":[187],"uneven,":[189],"share":[193],"Chat":[200],"cuts":[201],"jobs":[203],"some":[205],"cases":[206],"occupation-specific":[209],"Areas":[212],"underrepresentation":[215],"next":[222],"frontier":[223],"enterprise":[225],"adoption.":[227]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}