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Apple é a segunda Big Tech com mais vagas de emprego de nível inicial nos EUA

11 August 2026 at 17:03

Uma novo estudo da CashNetUSA revelou que a Apple é a segunda Big Tech estadunidense com mais vagas de emprego de nível inicial abertas no LinkedIn, ficando atrás apenas da Tesla.

Mais precisamente, 57,4% das vagas publicadas pela gigante de Cupertino são de baixa senioridade — um ponto percentual a menos que a montadora do bilionário Elon Musk. Fecham o Top 5 a IBM (32,4%), a Intel (20,9%) e a NVIDIA, que aparece com 5,3% — o mesmo número da Uber, com a qual divide a quinta posição.

BIG TECH COMPANIES WITH THE MOST ENTRY-LEVEL VACANCIES
Divulgação/CashNetUSA

Isso, no entanto, não quer dizer que entrar para o quadro de funcionários da Apple é fácil — já que, apesar da abundância de vagas de nível inicial (54, para ser mais preciso), ela ainda tem uma relação candidato-vaga de 55:1. Em primeiro lugar no ranking supracitado, a Tesla conta com uma proporção de “apenas” 23,5:1 — a menor entre as Big Techs analisadas no estudo.

Quando consideramos todo o mercado (e não apenas empresas de tecnologia), a Maçã fica na quinta posição entre as empresas mais competitivas dos EUA. Na frente dela, temos a NVIDIA (68,4:1), a IBM (88,4:1), a The Walt Disney Company (164,8:1) e o Morgan Stanley (180,9:1).

THE MOST COMPETITIVE COMPANIES FOR ENTRY-LEVEL APPLICANTS
Divulgação/CashNetUSA

Para montar seu estudo, a CashNetUSA analisou, como dito, dados de vagas do LinkedIn referentes a “13 grandes empresas de tecnologia dos EUA reconhecidas mundialmente”. A firma de pesquisa também classificou cada empresa com base no número de candidatos que se inscreveram para cada vaga disponível.

O estudo completo pode ser conferido nessa página.

Investors put $500B into Nvidia AI infrastructure plan

11 August 2026 at 09:45

Nvidia inked strategic partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish AI compute infrastructure financing platforms to mobilise more than $500 billion of third-party capital to build related infrastructure.

The chipmaker stated memorandums of understanding would help create the first compute financing platforms of their kind at global scale, intended to fund frontier AI laboratories, clouds and enterprises.

It noted the platforms are designed to create dedicated pools of capital at significant scale and attractive rates for its customers, positioning Nvidia compute and full-stack AI infrastructure as an investable asset class.

“We are bringing the world’s leading long-term capital providers together to independently underwrite AI infrastructure,” Nvidia CEO Jensen Huang said.

“These financing platforms will help customers access scarce compute at scale and build the DSX AI factories that will power every industry and country”.

Nvidia described its compute as an investable asset offering the lowest token cost, highest revenue and longest life, alongside a rich ecosystem of buyers.

The arrangement builds on Nvidia’s broader push to raise capital for it and its customers to continue producing the chips, power systems and data centres underpinning the AI boom.

Nvidia GPUs underpin most leading US AI models available today and it supplies relevant chips, infrastructure, and software to a wide range of partners.

Money matters
It faced scrutiny in recent months over circular financing arrangements in which the company provides backing to help AI partners raise debt, in turn boosting Nvidia’s own revenue.

Bringing outside private capital providers onboard may help address some of the criticism since it spreads the financing load beyond Nvidia itself.

In recent years, private capital groups including Apollo and Blackstone have structured AI deals to help companies including Anthropic finance heavy spending on chips and data centres.

Financial Times reported Morgan Stanley predicts large cloud computing players would spend $3.5 trillion on AI infrastructure over the next two years.

The post Investors put $500B into Nvidia AI infrastructure plan appeared first on Mobile World Live.

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