Sundar Pichai, CEO of Alphabet, speaks during an event in New Delhi, December 19, 2022.
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Google is overhauling a popular internal learning platform to focus on teaching employees how to use modern artificial intelligence tools in their daily work routines, CNBC has learned.
Grow, as the learning service is called, was previously filled with a wide array of courses, ranging from teaching Google employees how to build products, use 3D printers, help with their personal finance or even how to solve a Rubik’s cube. Those offerings have all been replaced primarily by AI-related courses.
The revamp underscores how companies, both within and outside of tech, are racing to train their employees on the advanced AI tools that have been created since OpenAI’s launch of ChatGPT in late 2022 ushered in the age of generative AI.
Employees with previously scheduled Grow sessions were notified in the spring that the sessions they signed up for would be cancelled and that course materials would be archived, according to internal correspondence viewed by CNBC. Grow, which was started more than 10 years ago, had grown to more than 500,000 listings before the AI shakeup. Grow is popular among employees and is considered to be one of the unique perks of working at Google, according to sources and an internal discussion forum.
“We have an active learning culture with numerous in-house courses tied to company priorities, along with generous educational reimbursement,” a Google spokesperson said in an emailed statement. “Our internal course offerings have ballooned since we launched it ten years ago, and we’re refreshing Grow to help employees find the most relevant learning opportunities.”
The move to overhaul Grow shows that Google is shifting away from some of its nice-to-have programs to more business-essential offerings as it streamlines operations to prioritize AI. As the company fights to retain its relevance in search amid a heated AI arms race, it has streamlined operations, headcount and employee benefits.
Google has enacted rolling layoffs within several units across the company, particularly after finance chief Anat Ashkenazi’s said last fall that the company could “push a little further” on cost cuts. Google, like many other tech giants, has also rolled back programs like its diversity, equity and inclusion, or DEI, trainings amid business streamlining as well as from President Trump’s executive orders.
In a memo sent out to employees who had created Grow courses,Google leaders wrote that many of the platform’s “courses were unused,”and “not relevant to the work we do today,” according to an internal message.
“Those that orgs have confirmed are up-to-date and focused on business priorities will still be available,” wrote Google’s people operations staff.
Employees commented on an internal forum that the use of “focused on business priorities” reiterated a sign of the times — Google is primarily focused on programs that contribute to the bottom line.
Founded in 2022, ElevenLabs is an AI voice generation startup based in London. It competes with the likes of Speechmatics and Hume AI.
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LONDON — ElevenLabs, a London-based startup that specializes in generating synthetic voices through artificial intelligence, has revealed plans to be IPO-ready within five years.
The company told CNBC it is targeting major global expansion as it prepares for an initial public offering.
“We expect to build more hubs in Europe, Asia and South America, and just keep scaling,” Mati Staniszewski, ElevenLabs’ CEO and co-founder, told CNBC in an interview at the firm’s London office.
He identified Paris, Singapore, Brazil and Mexico as potential new locations. London is currently ElevenLabs’ biggest office, followed by New York, Warsaw, San Francisco, Japan, India and Bangalore.
Staniszewski said the eventual aim is to get the company ready for an IPO in the next five years.
“From a commercial standpoint, we would like to be ready for an IPO in that time,” he said. “If the market is right, we would like to create a public company … that’s going to be here for the next generation.”
Undecided on location
Founded in 2022 by Staniszewski and Piotr Dąbkowski, ElevenLabs is an AI voice generation startup that competes with the likes of Speechmatics and Hume AI.
The company divides its business into three main camps: consumer-facing voice assistants, integrations with corporates such as Cisco, and tailor-made applications for specific industries like health care.
Staniszewski said the firm hasn’t yet decided where it could list, but that this decision will largely rest on where most of its users are located at the time.
“If the U.K. is able to start accelerating,” ElevenLabs will consider London as a listing destination, Staniszewski said.
The city has faced criticisms from entrepreneurs and venture capitalists that its stock market is unfavorable toward high-growth tech firms.
Meanwhile, British money transfer firm Wiselast month said it plans to move its primary listing location to the U.S.,
Fundraising plans
ElevenLabs was valued at $3.3 billion following a recent $180 million funding round. The company is backed by the likes of Andreessen Horowitz, Sequoia Capital and ICONIQ Growth, as well as corporate names like Salesforce and Deutsche Telekom.
Staniszewski said his startup was open to raising more money from VCs, but it would depend on whether it sees a valid business need, like scaling further in other markets. “The way we try to raise is very much like, if there’s a bet we want to take, to accelerate that bet [we will] take the money,” he said.
Synopsys logo is seen displayed on a smartphone with the flag of China in the background.
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The U.S. government has rescinded its export restrictions on chip design software to China, U.S.-based Synopsys announced Thursday.
“Synopsys is working to restore access to the recently restricted products in China,” it said in a statement.
The U.S. had reportedly told several chip design software companies, including Synopsys, in May that they were required to obtain licenses before exporting goods, such as software and chemicals for semiconductors, to China.
The U.S. Commerce Department did not immediately respond to a request for comment from CNBC.
The news comes after China signaled last week that they are making progress on a trade truce with the U.S. and confirmed conditional agreements to resume some exchanges of rare earths and advanced technology.
The Datadog stand is being displayed on day one of the AWS Summit Seoul 2024 at the COEX Convention and Exhibition Center in Seoul, South Korea, on May 16, 2024.
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Datadog shares were up 10% in extended trading on Wednesday after S&P Global said the monitoring software provider will replace Juniper Networks in the S&P 500 U.S. stock index.
S&P Global is making the change effective before the beginning of trading on July 9, according to a statement.
Computer server maker Hewlett Packard Enterprise, also a constituent of the index, said earlier on Wednesday that it had completed its acquisition of Juniper, which makes data center networking hardware. HPE disclosed in a filing that it paid $13.4 billion to Juniper shareholders.
Over the weekend, the two companies reached a settlement with the U.S. Justice Department, which had sued in opposition to the deal. As part of the settlement, HPE agreed to divest its global Instant On campus and branch business.
While tech already makes up an outsized portion of the S&P 500, the index has has been continuously lifting its exposure as the industry expands into more areas of society.
Stocks often rally when they’re added to a major index, as fund managers need to rebalance their portfolios to reflect the changes.
New York-based Datadog went public in 2019. The company generated $24.6 million in net income on $761.6 million in revenue in the first quarter of 2025, according to a statement. Competitors include Cisco, which bought Splunk last year, as well as Elastic and cloud infrastructure providers such as Amazon and Microsoft.
Datadog has underperformed the broader tech sector so far this year. The stock was down 5.5% as of Wednesday’s close, while the Nasdaq was up 5.6%. Still, with a market cap of $46.6 billion, Datadog’s valuation is significantly higher than the median for that index.