{"id":194250,"date":"2026-06-26T15:41:19","date_gmt":"2026-06-26T15:41:19","guid":{"rendered":"https:\/\/sinch.com\/ai-production-paradox\/chapter\/metodologia-de-pesquisa\/"},"modified":"2026-07-08T02:41:26","modified_gmt":"2026-07-08T02:41:26","slug":"metodologia-de-pesquisa","status":"publish","type":"ai-prod-chapter","link":"https:\/\/sinch.com\/pt\/ai-production-paradox\/chapter\/metodologia-de-pesquisa\/","title":{"rendered":"Sobre a pesquisa \u201cThe AI Production Paradox\u201d"},"content":{"rendered":"
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Metodologia<\/h3> <\/div>\r\n \r\n

A Sinch realizou esta pesquisa do setor em janeiro de 2026. A pesquisa foi composta por 2.527 tomadores de decis\u00e3o corporativos de seis setores: servi\u00e7os financeiros, sa\u00fade, varejo, telecomunica\u00e7\u00f5es, tecnologia e servi\u00e7os profissionais. <\/p>

Todos os respondentes ocupam fun\u00e7\u00f5es de diretor, vice-presidente ou n\u00edvel executivo (C-suite) em organiza\u00e7\u00f5es com 1.000 ou mais funcion\u00e1rios trabalhando ativamente na estrat\u00e9gia de comunica\u00e7\u00f5es de AI. Organiza\u00e7\u00f5es que n\u00e3o implementam ou n\u00e3o planejam implementar a AI na comunica\u00e7\u00e3o com o cliente foram eliminadas. <\/p>

Os n\u00fameros de impacto nos neg\u00f3cios s\u00e3o estimativas organizacionais autorrelatadas, direcionais em vez de auditadas. As porcentagens s\u00e3o arredondadas para o n\u00famero inteiro mais pr\u00f3ximo. Como resultado, os totais podem nem sempre somar 100%. Todas as outras descobertas baseiam-se nas pr\u00e1ticas e atitudes organizacionais relatadas no momento da pesquisa. A Sinch encomendou esta pesquisa, mas n\u00e3o direcionou as an\u00e1lises ou as descobertas.<\/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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Detalhes da pesquisa<\/h3> <\/div>\r\n \r\n <\/div>\r\n \r\n
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Pa\u00eds<\/strong><\/td>Tamanho da organiza\u00e7\u00e3o<\/strong><\/td>Setor<\/strong><\/td>Fun\u00e7\u00f5es de trabalho<\/strong><\/td><\/tr>
Austr\u00e1lia: 10,5%
Brasil: 11,3%
Canad\u00e1: 6,7%
Fran\u00e7a: 7,3%
Alemanha: 5,9%
\u00cdndia: 6,7%
M\u00e9xico: 9,9%
Singapura: 6,0%
Reino Unido: 9,8%
Estados Unidos: 25,9%<\/td>		1.000 a 4.999 funcion\u00e1rios: 68,3%
5.000+ funcion\u00e1rios: 31,7%<\/td>		Servi\u00e7os financeiros (FinServ): 20,4%
Sa\u00fade: 18,7%
Varejo: 16,3%
Telecomunica\u00e7\u00f5es: 17,2%
Tecnologia: 16,6%
Servi\u00e7os profissionais: 10,8%<\/td>		Executivo C-suite: 33,1%
Executivo n\u00edvel VP: 27,4%
Diretor\/Gerente: 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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Detalhes regionais<\/h3>

Veja como o AI Production Paradox se apresenta em diferentes regi\u00f5es:<\/p><\/div>\r\n\r\n <\/div>\r\n <\/div>\r\n\r\n

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\r\n Am\u00e9rica do Norte <\/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
\r\n Saiba mais<\/a>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n \r\n <\/div>\r\n <\/div>\r\n\n\r\n <\/div>\r\n \r\n <\/div>\r\n <\/section>\r\n\r\n\n\n\n

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