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  • The hidden time bomb in the tax code that’s fueling mass tech layoffs

    <div>The hidden time bomb in the tax code that's fueling mass tech layoffs</div>

    For the past two years, it’s been a ghost in the machine of American tech.

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  • Nvidia can’t be stopped, Apple falls behind, and the AI data center race: Tech news roundup

    <div>Nvidia can't be stopped, Apple falls behind, and the AI data center race: Tech news roundup</div>

    When Microsoft (MSFT) pulled the plug on planned data centers in Ohio last month and a Wells Fargo (WFC) report suggested Amazon (AMZN) Web Services was reconsidering some leases, market watchers quickly diagnosed the symptoms: AI bubble concerns, demand uncertainty, and the inevitable cooldown after years of…

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  • Salesforce is acquiring Informatica for $8 billion

    Salesforce is acquiring Informatica for $8 billion

    Salesforce said Tuesday it will acquire the cloud data management company Informatica for $8 billion in equity value as it seeks to further compete in the global artificial intelligence race.

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  • Nvidia, Costco, and Fed minutes: What to watch in the stock market this week

    Nvidia, Costco, and Fed minutes: What to watch in the stock market this week

    With the bond-market selloff spooking investors across the board, stocks finished last week in the red. The Dow, Nasdaq, and S&P 500 all fell.

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  • Nearly 7,000 workers are out as Microsoft confirms across-the-board layoffs

    Nearly 7,000 workers are out as Microsoft confirms across-the-board layoffs

    Microsoft (MSFT) is laying off about 3% of its workforce, its largest headcount cut in more than two years.

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  • Nvidia’s bad day, Microsoft’s AI plans, Amazon’s TikTok play, and Intel’s future: Tech news roundup

    <div>Nvidia's bad day, Microsoft's AI plans, Amazon's TikTok play, and Intel's future: Tech news roundup</div>

    Nvidia (NVDA) fell with other Magnificent 7 stocks on Thursday as the market reacted to new tariffs — but the company also may’ve slipped because a major bank downgraded it for unrelated reasons.

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  • More than half of companies already deploy autonomous AI agents, study finds

    More than half of companies already deploy autonomous AI agents, study finds

    Agents are the latest trend in artificial intelligence, with several tech giants claiming they will provide a major boost in productivity for businesses. And it turns out most companies are already sold on the idea.

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  • OpenAI is now worth more than Chevron, McDonald’s, and Salesforce

    <div>OpenAI is now worth more than Chevron, McDonald's, and Salesforce</div>

    Sam Altman’s OpenAI has closed a new $40 billion fundraising deal that almost doubles the firm’s valuation and cements it as one of the most valuable private companies in the world.

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  • 2 skills that show management potential, according to a Salesforce talent exec

    Lori Castillo Martinez
    Lori Castillo Martinez, EVP of talent growth and development at Salesforce.

    • A Salesforce talent executive told BI that expertise isn’t necessarily an indicator of being a great manager.
    • Lori Castillo Martinez said that collaboration and task management, however, are key skills for management.
    • AI upskilling is also important for anyone wanting to make a transition within a company, she said.

    It’s good to be an expert at your job — but it might not be what gets you into a management role.

    “Sometimes being a deep expert isn’t always an indicator of being a great manager,” Lori Castillo Martinez, EVP of talent growth and development at Salesforce, said in an interview with Business Insider.

    The Salesforce executive said two skills are more important for getting noticed for a management role: collaboration and task management.

    “Our best managers are those that are really leveraging those human skills, leaning in, understanding the needs of their teams,” Martinez said. “And when we see that potential, these are the folks that then we start doing some deeper work with.”

    The Salesforce executive said the best managers can look across all the work that needs to be done and know where human skills are needed and where AI agents could better maximize a team’s capability.

    A good manager is also able to identify the skillsets of others.

    “As a manager, being able to spot that really key talent that is bringing some of those key skills to the table,” Martinez said.

    Like many companies, Salesforce has been modernizing its workforce and learning how jobs are being redesigned. The company recently expanded its AI offerings with the launch of Agentforce, a platform that creates agents for specific tasks. Martinez said more than ever, it’s important to know which tasks are best suited for agents and humans.

    The Salesforce exec said that as the company continues to explore AI platforms, the best managers will be those who can analyze their teams and maximize productivity.

    Recent hiring data suggests that skilling up in AI could help you land a job faster, even if you’re not applying to a tech-specific role. LinkedIn data shows that AI hiring recently increased 30% faster than overall hiring. The figures include those who build AI, as well as those who use it in their jobs.

    Martinez also said that, in general, anyone who wants to make any transition within a company should “take advantage of every learning opportunity,” especially if your company offers upskilling courses or technology training. Salesforce offers a number of upskilling opportunities, including an AI certification, Martinez said.

    “I do think this is going to be a personal advantage,” Martinez said. “Those people that are leaning in, understanding that skill in and of itself, of human and AI or human and Agent interaction, and getting more and more experience.”

    Read the original article on Business Insider
  • Marc Benioff, Ray Dalio, and the cofounder of Alibaba talk US and China AI

    DeepSeek AI
    Joe Tsai, Alibaba’s cofounder, said the “so-called DeepSeek moment” is more about the open source movement.

    • US and Chinese AI advancements took center stage at a major conference on Wednesday in Singapore.
    • Salesforce’s CEO criticized Big Tech’s spending on data centers and AI development.
    • Alibaba’s cofounder said open-sourced models could spur innovation outside Big Tech companies.

    Some of the biggest names in tech and finance talked AI in Singapore on Wednesday, highlighting the hot debate about American and Chinese tech advancements.

    At the CNBC conference, Salesforce’s CEO, Marc Benioff, said some tech leaders have fallen into a “hypnosis” about the number of data centers and the level of training needed to create AI models. The emergence of seemingly low-cost, high-tech Chinese models like DeepSeek’s R1 shows that these investments might not be necessary, he said.

    “It has to be rethought. Exactly what are you doing and why are you doing this?” he said of the Big Tech companies spending hundreds of billions of dollars on hardware.

    Benioff has been vocal about his dislike of how much capital Big Tech is earmarking for data centers and AI advancement.

    During the same panel, Bridgewater Associates founder Ray Dalio said that the US is still winning against China in designing leading chips. But he said China has the upper hand in actually using AI.

    “China is behind, but not by a lot, in the best chips,” Dalio said.

    Joe Tsai, Alibaba’s cofounder, said the “so-called DeepSeek moment” is more about the open-source movement than which country has the best AI. Open-source models allow for the free and open sharing of software to anyone for any purpose.

    Tsai predicted a rush of development on top of existing open-source models — which won’t just benefit Big Tech companies.

    With open-source models, “the AI game is not just left to the five richest companies in the world that can afford to invest $50 billion a year,” he said.

    In January, DeepSeek, a Chinese startup, launched an open-sourced AI model that rattled US tech and AI companies. Third-party tests showed the model outperformed its peers from OpenAI, Meta, and other top developers in some tasks, and the company said it was built for less money.

    Read the original article on Business Insider