LinkedIn data shows AI isn’t to blame for hiring decline… yet
LinkedIn says hiring is down 20% since 2022, but blames higher interest rates — not AI — for the slowdown.
LinkedIn’s Blake Lawit, the chief global affairs and legal officer of the Microsoft-owned professional networking site, confirmed in an interview at the Semafor World Economy summit this week that the company’s data shows a decline in hiring of around 20% since 2022.
However, he pushed back at the idea that AI was to blame.
“At LinkedIn… we have an economic graph which is over a billion members. We’ve got companies, jobs, skills. It’s really an amazing real-time view of what’s happening in the labor market. And we’ve looked — because everyone wants to know the answer to this question: Is AI impacting jobs right now? We’ve looked and, honestly, we haven’t seen it,” he said during his interview.
Instead, the executive suggested that the decline in hiring was more closely tied to a rise in interest rates.
“We have not seen the sort of impacts that you would expect to see in areas that everyone is talking about AI… like industries, whether or not it’s customer support, or administrative, or marketing — all these places that if we were seeing impacts [from] AI that’s where it would be,” Lawit continued.
“Yes, hiring’s down, but not down more,” he added.
Lawit also noted that LinkedIn’s data didn’t indicate that the decline in hiring of college-aged young adults getting their first jobs was “down more,” either, when compared with people who were in the middle of or later in their careers.
Still, he didn’t rule out that things could change.
“Doesn’t mean it’s not going to happen in the future, but not yet.”
On that point, however, Lawit had a warning of sorts. Lawit noted that over the last several years, the skills that are needed to do the average job have changed 25%. With the rise of AI, LinkedIn expects that figure to be 70% by 2030.
“So, even if you’re not changing jobs, your job’s changing on you,” he said.
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Pontos-chave
- A desaceleração nas contratações é atribuída a fatores econômicos, não à IA.
- As habilidades exigidas para os empregos estão mudando rapidamente, com previsão de 70% até 2030.
- A adaptação e requalificação da força de trabalho são essenciais para a competitividade das empresas brasileiras.
Análise editorial
A análise da LinkedIn sobre a desaceleração nas contratações, atribuindo-a a fatores econômicos como o aumento das taxas de juros e não à inteligência artificial, é um indicativo importante para o setor de tecnologia no Brasil. Embora a IA esteja em ascensão e sua adoção esteja mudando a dinâmica do mercado de trabalho, a realidade atual mostra que o impacto direto sobre as contratações ainda não se concretizou. Para o Brasil, onde o mercado de trabalho enfrenta desafios próprios, essa informação pode oferecer um alívio temporário, mas também destaca a necessidade de adaptação contínua das habilidades dos trabalhadores.
Além disso, a previsão de que as habilidades necessárias para os empregos mudarão em 70% até 2030 sugere que as empresas brasileiras devem começar a se preparar para essa transformação. A capacitação e requalificação da força de trabalho se tornam essenciais, especialmente em um país onde a educação e o acesso à tecnologia ainda são desiguais. As empresas que não se adaptarem a essa nova realidade podem enfrentar dificuldades em manter sua competitividade.
Por fim, é crucial observar como a situação evolui nos próximos meses. A combinação de fatores econômicos e a crescente adoção de tecnologias de IA podem, eventualmente, levar a uma mudança significativa no mercado de trabalho. O Brasil deve estar atento a essas tendências globais e preparar suas políticas de emprego e educação para mitigar possíveis impactos negativos no futuro.
O que esta cobertura entrega
- Atribuicao clara de fonte com link para a publicacao original.
- Enquadramento editorial sobre relevancia, impacto e proximos desdobramentos.
- Revisao de legibilidade, contexto e duplicacao antes da publicacao.
Fonte original:
TechCrunch AISobre este artigo
Este artigo foi curado e publicado pelo AIDaily como parte da nossa cobertura editorial sobre desenvolvimentos em inteligência artificial. O conteúdo é baseado na fonte original citada abaixo, enriquecido com contexto e análise editorial. Ferramentas automatizadas podem auxiliar tradução e estruturação inicial, mas a decisão de publicar, a revisão factual e o enquadramento de contexto seguem responsabilidade editorial.
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