{"id":6909,"date":"2025-11-26T09:36:51","date_gmt":"2025-11-26T07:36:51","guid":{"rendered":"https:\/\/wawiwa-tech.com\/?p=6909"},"modified":"2025-11-26T09:54:39","modified_gmt":"2025-11-26T07:54:39","slug":"why-most-companies-are-not-benefiting-from-ai-insights-from-mckinsey-report","status":"publish","type":"post","link":"https:\/\/wawiwa-tech.com\/pt\/blog\/learning\/why-most-companies-are-not-benefiting-from-ai-insights-from-mckinsey-report\/","title":{"rendered":"Por que a maioria das empresas n\u00e3o est\u00e1 se beneficiando da IA: insights do relat\u00f3rio 2025 AI da Mckinsey"},"content":{"rendered":"
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Relat\u00f3rio da McKinsey sobre o estado da IA em 2025<\/span><\/a> revela um mundo em que as empresas est\u00e3o fazendo experimentos como nunca antes, experimentando agentes de IA e relatando lampejos de inova\u00e7\u00e3o... mas muito poucas cruzaram a linha da transforma\u00e7\u00e3o real e escal\u00e1vel. A lacuna entre \"usar IA\" e \"beneficiar-se da IA\" \u00e9 maior do que a maioria dos l\u00edderes admite.<\/span><\/p>

Este blog discute o que realmente est\u00e1 acontecendo por tr\u00e1s do hype: quem est\u00e1 obtendo valor com a IA, como os sistemas ag\u00eanticos est\u00e3o remodelando os fluxos de trabalho, por que os profissionais de alto desempenho est\u00e3o saindo na frente e onde as organiza\u00e7\u00f5es est\u00e3o tendo dificuldades. Tamb\u00e9m exploramos por que o impacto da IA, em \u00faltima an\u00e1lise, vem das pessoas - aquelas treinadas para usar as ferramentas de IA de forma eficaz - e o que as organiza\u00e7\u00f5es devem fazer para criar equipes \u00e0 prova de IA que se adaptem, inovem e garantam uma vantagem competitiva sustentada no mercado de trabalho.<\/span><\/p>

O uso da IA \u00e9 amplo, mas a escala \u00e9 rara<\/b><\/h2>

Os n\u00fameros das manchetes parecem impressionantes: 88% das organiza\u00e7\u00f5es afirmam que est\u00e3o usando IA em pelo menos uma fun\u00e7\u00e3o de neg\u00f3cios, acima dos 78% do ano anterior. Mas os dados da McKinsey revelam uma realidade diferente sob a superf\u00edcie - a IA est\u00e1 presente, mas n\u00e3o integrada. Quase dois ter\u00e7os das empresas ainda est\u00e3o presas em fases de experimenta\u00e7\u00e3o ou piloto, e apenas cerca de um ter\u00e7o relata qualquer n\u00edvel de escalonamento real em toda a empresa. A maioria trata a IA como um complemento aos processos existentes, e n\u00e3o como um redesenho de como o trabalho \u00e9 feito.<\/span><\/p>

As empresas maiores, tanto em termos de receita quanto de n\u00famero de funcion\u00e1rios, t\u00eam maior probabilidade de alcan\u00e7ar o dimensionamento. Cerca de 50% das empresas que geram mais de $5B em receita est\u00e3o ampliando a IA, em compara\u00e7\u00e3o com apenas 29% das que t\u00eam menos de $100M. O acesso ao capital, o talento e a prontid\u00e3o institucional determinam a rapidez com que essas organiza\u00e7\u00f5es podem ir al\u00e9m dos pilotos. As empresas menores podem ser \u00e1geis, mas geralmente n\u00e3o t\u00eam a infraestrutura para operacionalizar a IA em todas as fun\u00e7\u00f5es.<\/span><\/p>

Essa lacuna cria uma ilus\u00e3o de progresso. Os l\u00edderes relatam com orgulho a \"ado\u00e7\u00e3o da IA\", mas o que existe internamente muitas vezes \u00e9 apenas experimenta\u00e7\u00e3o. \u00c9 por isso que a maioria das organiza\u00e7\u00f5es v\u00ea benef\u00edcios modestos e isolados, em vez de transforma\u00e7\u00e3o empresarial.\u00a0<\/span><\/p>

IA ag\u00eantica: potencial poderoso, primeiros sinais de mudan\u00e7a real<\/b><\/h2>

O que se torna interessante \u00e9 a mudan\u00e7a de ferramentas que respondem para sistemas que agem. A IA ag\u00eantica - modelos capazes de planejar, executar e iterar em fluxos de trabalho de v\u00e1rias etapas - est\u00e1 reformulando os pioneiros. A McKinsey informa que 62% das organiza\u00e7\u00f5es j\u00e1 est\u00e3o fazendo experi\u00eancias com agentes de IA e 23% est\u00e3o ampliando-os em pelo menos uma fun\u00e7\u00e3o. Essas s\u00e3o implementa\u00e7\u00f5es em tempo real que lidam com tarefas que, de outra forma, exigiriam interven\u00e7\u00e3o humana.<\/span><\/p>

Mas, assim como a ado\u00e7\u00e3o geral da IA, a escala continua limitada. Nenhuma fun\u00e7\u00e3o de neg\u00f3cios isolada mostra mais de 10% dos entrevistados escalando agentes em capacidade total. Isso revela uma barreira psicol\u00f3gica importante: os l\u00edderes se sentem confort\u00e1veis em permitir que a IA informe as decis\u00f5es, mas hesitam em permitir que a IA as tome ou as execute.\u00a0<\/span><\/p>

Tecnologia, m\u00eddia, telecomunica\u00e7\u00f5es e sa\u00fade relatam os n\u00edveis mais altos de uso de agentes. Esses setores s\u00e3o digitalizados, ricos em dados e acostumados \u00e0 automa\u00e7\u00e3o. Eles se movem mais rapidamente porque t\u00eam sistemas projetados para itera\u00e7\u00e3o. Mas, mesmo nesses setores, a IA ag\u00eantica \u00e9 implantada principalmente em um ou dois bols\u00f5es - n\u00e3o em toda a corrente sangu\u00ednea organizacional. A tecnologia est\u00e1 pronta, mas as organiza\u00e7\u00f5es n\u00e3o est\u00e3o.<\/span><\/p>

A IA est\u00e1 impulsionando a inova\u00e7\u00e3o, mas ainda n\u00e3o est\u00e1 gerando lucro em n\u00edvel empresarial<\/b><\/h2>

A pesquisa da McKinsey exp\u00f5e um desequil\u00edbrio impressionante: A IA claramente agrega valor no n\u00edvel do caso de uso, mas muito raramente no n\u00edvel empresarial. Apenas 39% dos entrevistados relatam qualquer impacto no lucro antes de juros e impostos (EBIT) atribu\u00edvel \u00e0 IA, e a maioria diz que ela representa menos de 5% de seu EBIT total. Isso significa que as empresas est\u00e3o observando ganhos de efici\u00eancia aqui e ali - c\u00f3digo mais r\u00e1pido, melhor direcionamento, redu\u00e7\u00e3o do trabalho manual -, mas esses ganhos ainda n\u00e3o se traduzem em transforma\u00e7\u00e3o dos neg\u00f3cios. Em outras palavras, a IA ainda \u00e9 principalmente uma ferramenta t\u00e1tica, n\u00e3o um mecanismo de crescimento estrat\u00e9gico.<\/span><\/p>

No entanto, os benef\u00edcios qualitativos contam uma hist\u00f3ria diferente. 64% dos entrevistados afirmam que a IA est\u00e1 possibilitando a inova\u00e7\u00e3o, e quase metade relata melhorias na satisfa\u00e7\u00e3o do cliente e na diferencia\u00e7\u00e3o competitiva. Esses s\u00e3o indicadores de desenvolvimento de capacidade de longo prazo. Quando a IA apresenta insights mais rapidamente, personaliza experi\u00eancias ou acelera itera\u00e7\u00f5es de produtos, ela muda o que as organiza\u00e7\u00f5es podem fazer. Mas a inova\u00e7\u00e3o demora a aparecer nos resultados financeiros. O intervalo entre a experimenta\u00e7\u00e3o e o impacto sustentado \u00e9 o ponto em que a maioria das empresas desanima e recua para ambi\u00e7\u00f5es menores.<\/span><\/p>

As poucas organiza\u00e7\u00f5es que capturam benef\u00edcios econ\u00f4micos reais n\u00e3o est\u00e3o buscando apenas a efici\u00eancia. A McKinsey destaca um padr\u00e3o: as empresas de alto desempenho definem v\u00e1rios objetivos - crescimento, inova\u00e7\u00e3o e otimiza\u00e7\u00e3o de custos. Elas redesenham os fluxos de trabalho, eliminam o atrito manual e incorporam a IA \u00e0 forma como as decis\u00f5es s\u00e3o tomadas, e n\u00e3o apenas \u00e0 forma como as tarefas s\u00e3o automatizadas. Esse alinhamento \u00e9 o motivo pelo qual essas empresas escalam mais rapidamente, investem mais e, por fim, convertem a inova\u00e7\u00e3o em receita e lucro.\u00a0<\/span><\/p>

Opini\u00e3o de Wawiwa: o impacto da IA vem das pessoas, n\u00e3o apenas das ferramentas<\/b><\/h2>

Se h\u00e1 um tema que se destaca no relat\u00f3rio da McKinsey, \u00e9 este: as ferramentas n\u00e3o transformam as organiza\u00e7\u00f5es - as pessoas sim. Na Wawiwa, vemos isso todos os dias. A IA s\u00f3 se torna \u00fatil quando a ger\u00eancia, os alunos e as equipes sabem como us\u00e1-la, por que us\u00e1-la e onde ela gera valor. \u00c9 por isso que integramos a IA n\u00e3o como um m\u00f3dulo aut\u00f4nomo ou um complemento de \u00faltima hora, mas como uma camada central de cada programa que oferecemos. Nossos alunos praticam o uso da IA como fariam no emprego que desejam: criando, pesquisando, codificando, projetando e resolvendo problemas usando ferramentas de IA que refletem o mundo real.<\/span><\/p>

A IA est\u00e1 em toda parte na Wawiwa<\/span><\/a>. Incorporamos a IA em todas as nossas ofertas de treinamento, m\u00e9todos de ensino e processos internos, para acompanhar as tend\u00eancias do setor e atender \u00e0s demandas em constante mudan\u00e7a de nossos parceiros e alunos em todo o mundo. Os alunos n\u00e3o \"estudam IA\" como uma teoria; eles a utilizam desde o primeiro dia. \u00c9 assim que eles desenvolvem as compet\u00eancias t\u00e9cnicas, a adaptabilidade e a confian\u00e7a que os empregadores esperam.<\/span><\/p>

Oferecemos programas de requalifica\u00e7\u00e3o para trabalhos de tecnologia com alta demanda, como <\/span>Desenvolvedor Full-Stack de IA<\/span><\/a> e <\/span>Analista de dados de IA<\/span><\/a>. Tamb\u00e9m fornecemos <\/span>Cursos de aperfei\u00e7oamento em IA<\/span><\/a> para equipes e organiza\u00e7\u00f5es, para que seus funcion\u00e1rios aprendam a trabalhar com IA. Esses cursos s\u00e3o pr\u00e1ticos, baseados em casos reais de uso comercial e adaptados \u00e0s fun\u00e7\u00f5es: <\/span>comerciantes<\/span><\/a>, <\/span>gerentes de produto<\/span><\/a>, <\/span>desenvolvedores de software<\/span><\/a>e muito mais. Quando as pessoas entendem como aproveitar a IA de forma eficaz, a tecnologia se torna um impulsionador de produtividade, inova\u00e7\u00e3o e vantagem competitiva.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

O relat\u00f3rio State of AI in 2025, da McKinsey, revela um mundo em que as empresas est\u00e3o fazendo experimentos como nunca antes - mas muito poucas conseguem uma transforma\u00e7\u00e3o real. A lacuna entre \"usar IA\" e \"beneficiar-se da IA\" \u00e9 maior do que a maioria dos l\u00edderes pensa. Continue lendo para saber quem est\u00e1 ganhando com a IA, como os agentes est\u00e3o mudando os fluxos de trabalho, por que os profissionais de alto desempenho saem na frente e como as organiza\u00e7\u00f5es podem criar equipes \u00e0 prova de IA que garantam uma vantagem competitiva.<\/p>","protected":false},"author":1,"featured_media":6911,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[221],"tags":[302,26,22,249,85],"class_list":["post-6909","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learning","tag-ai","tag-reskilling","tag-tech","tag-tech-jobs","tag-upskilling"],"acf":[],"yoast_head":"\nWhy Most Companies Aren\u2019t Benefiting from AI: Insights from Mckinsey\u2019s 2025 AI Report<\/title>\n<meta name=\"description\" content=\"McKinsey\u2019s State of AI in 2025 reveals a world where companies are experimenting like never before - yet very few achieve real transformation. 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