{"id":194266,"date":"2026-06-26T15:41:47","date_gmt":"2026-06-26T15:41:47","guid":{"rendered":"https:\/\/sinch.com\/ai-production-paradox\/chapter\/forschungsmethodik\/"},"modified":"2026-07-08T02:41:22","modified_gmt":"2026-07-08T02:41:22","slug":"forschungsmethodik","status":"publish","type":"ai-prod-chapter","link":"https:\/\/sinch.com\/de\/ai-production-paradox\/chapter\/forschungsmethodik\/","title":{"rendered":"\u00dcber die Studie \u201eThe AI Production Paradox\u201c"},"content":{"rendered":"
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Methodik<\/h3> <\/div>\r\n \r\n

Sinch hat diese Branchenumfrage im Januar 2026 durchgef\u00fchrt. Die Umfrage umfasste 2.527 Entscheidungstr\u00e4ger in Unternehmen aus sechs Branchen: Finanzdienstleistungen, Gesundheitswesen, Einzelhandel, Telekommunikation, Technologie und professionelle Dienstleistungen. <\/p>

Alle Befragten haben eine Rolle als Director, VP oder auf C-Ebene in Unternehmen mit 1.000 oder mehr Mitarbeitern inne, die aktiv an einer AI-Kommunikationsstrategie arbeiten. Unternehmen, die keine AI in der Kundenkommunikation einsetzen oder dies nicht planen, wurden ausgeschlossen. <\/p>

Die Zahlen zu den gesch\u00e4ftlichen Auswirkungen sind selbstberichtete Sch\u00e4tzungen der Unternehmen und eher richtungsweisend als gepr\u00fcft. Die Prozents\u00e4tze sind auf die n\u00e4chste ganze Zahl gerundet. Infolgedessen ergeben die Summen m\u00f6glicherweise nicht immer genau 100 %. Alle weiteren Ergebnisse basieren auf den zum Zeitpunkt der Umfrage berichteten organisatorischen Praktiken und Einstellungen. Sinch hat diese Untersuchung in Auftrag gegeben, aber weder die Analyse noch die Ergebnisse geleitet.<\/p><\/div> <\/div>\r\n \r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/section>\r\n\r\n\n\n

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Aufschl\u00fcsselung der Umfrage<\/h3> <\/div>\r\n \r\n <\/div>\r\n \r\n
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Land<\/strong><\/td>Unternehmensgr\u00f6\u00dfe<\/strong><\/td>Branche<\/strong><\/td>Berufsrollen<\/strong><\/td><\/tr>
Australien: 10,5 %
Brasilien: 11,3 %
Kanada: 6,7 %
Frankreich: 7,3 %
Deutschland: 5,9 %
Indien: 6,7 %
Mexiko: 9,9 %
Singapur: 6,0 %
Gro\u00dfbritannien: 9,8 %
USA: 25,9 %<\/td>		1.000 bis 4.999 Mitarbeiter: 68,3 %
5.000+ Mitarbeiter: 31,7 %<\/td>		Finanzdienstleistungen (FinServ): 20,4 %
Gesundheitswesen: 18,7 %
Einzelhandel: 16,3 %
Telekommunikation: 17,2 %
Technologie: 16,6 %
Professionelle Dienstleistungen: 10,8 %<\/td>		C-Level-F\u00fchrungskr\u00e4fte: 33,1 %
VP-Ebene: 27,4 %
Director\/Manager: 39,5 %<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\r\n <\/div>\r\n \r\n <\/div>\r\n\r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/section>\r\n\r\n\n\n
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Regionale Aufschl\u00fcsselungen<\/h3>

Sehen Sie sich an, wie das AI Production Paradox in den verschiedenen Regionen aussieht:<\/p><\/div>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n

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\r\n Nordamerika <\/h3>\r\n <\/div>\r\n
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\r\n EMEA <\/h3>\r\n <\/div>\r\n
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\r\n APAC <\/h3>\r\n <\/div>\r\n
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\r\n LATAM <\/h3>\r\n <\/div>\r\n
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