Stewart Butterfield speaks on November 08, 2019 in San Francisco, California.
Phillip Faraone | Getty Images
Salesforce said on Monday that Slack founder and CEO Stewart Butterfield is leaving the company. He’ll be replaced by Lidiane Jones, an executive vice president at Salesforce who joined in 2019.
Butterfield’s announced departure comes days after Salesforce said co-CEO Bret Taylor was stepping down just a year after being promoted to the share the top job with Marc Benioff, Salesforce’s co-founder.
Benioff informed employees on a call on Monday that Butterfield was leaving, according to people familiar with the matter who asked not to be named because they weren’t authorized to speak on the record. Salesforce acquired Slack for about $27 billion last year, its largest purchase ever. The deal was announced in late 2020.
“Stewart is an incredible leader who created an amazing, beloved company in Slack,” a company spokesperson told CNBC in a statement. “He has helped lead the successful integration of Slack into Salesforce and today Slack is woven into the Salesforce Customer 360 platform. Stewart also was instrumental in choosing Lidiane Jones as the next Slack CEO to lead it into its next chapter. Lidiane has a strong background in customer and enterprise tech and has been among Salesforce’s leadership for over three years. We’re grateful for Stewart and excited for Lidiane as she takes over the reins of Slack.”
Tamar Yehoshua, Slack’s product chief, will also depart, along with Jonathan Prince, senior vice president in charge of marketing, brand and communications, the people familiar said.
Jones spent over 12 years at Microsoft, before leaving to join Sonos in 2015. She’s been at Salesforce since 2019 and is currently executive vice president and general manager of digital experience clouds.
Butterfield originally worked with the other co-founder of Slack, Cal Henderson, at photo-sharing website Flickr, which Yahoo acquired in 2005. In 2009 the two men founded Tiny Speck as they sought to build an online video game named Glitch. The game failed to become a world-beating hit and Tiny Speck shut it down. Tiny Speck had developed software employees had used to build Glitch, and the startup made the software available to the public as Slack in 2014.
It grew quickly, mobilizing Microsoft. When Microsoft launched Teams in 2016, Slack took out an ad in the New York Times to welcome Microsoft to the market.
“I’m not going to do anything entrepreneurial,” Butterfield told Salesforce employees in a Slack message. “As I said in my announcement to Slack team, these days my fantasies are about gardening. As hackneyed as it might sound, I really am going to spend more time with my family (as well as work on some personal projects, focus on health and generally put time into those things which [are] harder to do when one is leading a large organization).”
Butterfield met with Taylor in March 2020 and said Slack wanted to acquire Quip, the productivity app Taylor sold to Salesforce in 2016, from Salesforce. Months later, Taylor told Butterfield that while Salesforce wasn’t interested in selling Quip to Slack, Salesforce was interested in buying Slack.
Masayoshi Son, chairman and chief executive officer of SoftBank Group Corp., speaks at the SoftBank World event in Tokyo, Japan, on Wednesday, July 16, 2025.
Kiyoshi Ota | Bloomberg | Getty Images
Masayoshi Son is making his biggest bet yet: that his brainchild SoftBank will be the center of a revolution driven by artificial intelligence.
Son says artificial superintelligence (ASI) — AI that is 10,000 times smarter than humans — will be here in 10 years. It’s a bold call — but perhaps not surprising. He’s made a career out of big plays; notably, one was a $20 million investment into Chinese e-commerce company Alibaba in 2000 that has made billions for SoftBank.
Now, the billionaire is hoping to replicate that success with a series of investments and acquisitions in AI firms that will put SoftBank at the center of a fundamental technological shift.
While Son has been outspoken about his vision over the last year, his thinking precedes much of his recent bullishness, according to two former executives at SoftBank.
“I vividly remember the first time he invited me to his home for dinner and sitting on his porch over a glass of wine, he started talking to me about singularity – the point at which machine intelligence overtakes human intelligence,” Alok Sama, a former finance chief at SoftBank until 2016 and and president until 2019, told CNBC.
SoftBank’s big AI plays
For Son, AI seems personal.
“SoftBank was founded for what purpose? For what purpose was Masa Son born? It may sound strange, but I think I was born to realize ASI,” Son said last year.
That may go some way to explain what has been an aggressive drive over the past few years — but especially the last two — to put SoftBank at the center of the AI story.
ChatGPT maker OpenAI is another marquee investment for SoftBank, with the Japanese giant saying recently that planned investments in the company will reach about 4.8 trillion Japanese yen ($32.7 billion).
SoftBank has also invested in a number of other companies related to AI across its portfolio.
“SoftBank’s AI strategy is comprehensive, spanning the entire AI stack from foundational semiconductors, software, infrastructure, and robotics to cutting-edge cloud services and end applications across critical verticals such as enterprise, education, health, and autonomous systems,” Neil Shah, co-founder at Counterpoint Research, told CNBC.
“Mr. Son’s vision is to cohesively connect and deeply integrate these components, thereby establishing a powerful AI ecosystem designed to maximize long-term value for our shareholders.”
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SoftBank’s stock performance since 2017, the year that its first Vision Fund was founded.
There is a common theme behind SoftBank’s investments in AI companies that comes directly from Son — namely, that these firms should be using advanced intelligence to be more competitive, successful, to make their product better and their customers happy, a person familiar with the company told CNBC. They could only comment anonymously because of the sensitivity of the matter.
It started with and brain computers and robots
As SoftBank launched “SoftBank’s Next 30-Year Vision” in 2010, Son spoke about “brain computers” during a presentation. He described these computers as systems that could learn and program themselves eventually.
And then came robots. Major tech figures like Nvidia CEO Jensen Huang and Tesla boss Elon Musk are now talking about robotics as a key application of AI — but Son was thinkingabout this more than a decade ago.
In 2012, SoftBank took a majority stake in a French company called Aldebaran. Two years later, the two companies launched a humanoid robot called Pepper, which they billed as “the world’s first personal robot that can read emotions.”
Later, Son said: “In 30 years, I hope robots will become one of the core businesses in generating profits for the SoftBank group.”
SoftBank’s bet on Pepper ultimately flopped for the company. SoftBank slashed jobs at its robotics unit and stopped producing Pepper in 2020.In 2022, German firm United Robotics Group agreed to acquire Aldebaran from SoftBank.
But Son’s very early interest in robots underscored his curiosity for AI applications of the future.
“He was in very early and he has been thinking about this obsessively for a long time,” Sama, who is author of “The Money Trap,” said.
In the background, Son was cooking up something bigger: a tech fund that would make waves in the investing world. He founded the Vision Fund in 2017 with a massive $100 billion in deployable capital.
SoftBank aggressively invested in companies across the world with some of the biggest bets on ride hailing players like Uber and Chinese firm Didi.
The market questioned some of Son’s investments in companies like Uber and Didi, which were burning through cash at the time and had unclear unit economics.
But even those investments spoke to Son’s AI view, according to the former partner at the SoftBank Vision Fund.
“His thought back then was the first advent of AI would be self-driving cars,” the source told CNBC.
Again this could be seen as a case of being too early. Uber created a driverless car unit only to sell it off. Instead, the company has focused on other self-driving car companies to bring them onto the Uber platform. Even now, driverless cars are not widespread on roads, though commercial services like those of Waymo are available.
SoftBank still has investments in driverless car companies, such as British startup Wayve.
Timing clearly wasn’t on Son’s side. After record losses at the Vision Fund in 2022, Son declared SoftBank would go into “defense” mode, significantly reducing investments and being more prudent. It was at this time that companies like OpenAI were beginning to gain steam, but still before the launch of ChatGPT that would put the company on the map.
“When those companies came to head in 2021, 2022, Masa would have been in a perfect place but he had used all his ammunition on other companies,” the former Vision Fund exec said.
“When they came to age in 21, 22, the Vision Fund had invested in five or six hundred different companies and he was not in a position to invest in AI and he missed that.”
Son himself said this year that SoftBank wanted to invest in OpenAI as early as 2019, but it was Microsoft that ended up becoming the key investor. Fast forward to 2025, the Vision Fund — of which there are now two — has a portfolio stacked full of AI focused companies.
But that period was tough for investors across the board. The Covid-19 pandemic, booming inflation and rising rates hit public and private markets across the board after years of loose monetary policy and a tech bull run.
SoftBank didn’t see that time as a missed opportunity to invest in AI, a person familiar with the company said.
Instead, the the company is of the view that it is still very early in the AI investing cycle, the source added.
Risk and reward
AI technology is fast-moving, from the chips that run the software to the models that underpin popular applications.
Tech giants in the U.S. and China are battling it out to produce ever-advancing AI models with the aim of reaching artificial general intelligence (AGI) — a term with different definitions depending on who you speak to, but one that broadly refers to AI that is smarter than humans. With billions of dollars of investment going into the technology, the risk is high, and the rewards could be even higher.
While markets have since recovered, the potential of surprise advances in technology at such an early stage in AI remains a big risk for the likes of SoftBank.
“As with most technology investments the key challenge is to invest in the winning technologies. Many of the investments SoftBank has made are in the current leaders but AI is still in its relative infancy so other challengers could still rear up from nowhere,” Dan Baker, senior equity analyst at Morningstar, told CNBC.
Still, Son has made it clear he wants to set SoftBank up with DNA that will see it survive and thrive for 300 years, according to the company’s website.
That may go some way to explain the big risks that Son takes, and his conviction when it comes to particular themes and companies — and the valuations he’s willing to pay.
“He (Son) made some mistakes, but directionally he is going in the same driection, which is — he wants to be sure that he is a real player in AI and he is making it happen,” the former Vision Fund exec said.
In exchange for 15% of revenues from the chip sales, the two chipmakers will receive export licenses to sell Nvidia’s H20 and AMD’s MI308 chips in China, according to the FT.
The arrangement comes as President Donald Trump’s tariffs continue to reverberate through the global economy, underscoring the White House’s willingness to carve out exceptions as a bargaining tool.
Nvidia CEO Jensen Huang met with Trump last week, according to the FT.
In a statement, Nvidia told the Financial Times: “We follow rules the U.S. government sets for our participation in worldwide markets.”
Last week, Trump had said he would implement a 100% tariff on imports of semiconductors and chips, unless a company was “building in the United States.”
Chip giant Nvidia pushed back Sunday in response to allegations from Chinese state media that its H20 artificial intelligence chips are a national security risk for China.
Earlier in the day, Reuters reported Yuyuan Tantian, an account affiliated with Chinese state broadcaster CCTV, said in an article published on WeChat that the Nvidia H20 chips are not technologically advanced or environmentally friendly.
“When a type of chip is neither environmentally friendly, nor advanced, nor safe, as consumers, we certainly have the option not to buy it,” the Yuyuan Tantian article reportedly said, adding that the article said chips could achieve functions including “remote shutdown” through a hardware “backdoor.”
In response, a Nvidia spokesperson told CNBC that “cybersecurity is critically important to us. NVIDIA does not have ‘backdoors’ in our chips that would give anyone a remote way to access or control them.”
Nvidia on Tuesday similarly rejected Chinese accusations that its AI chips include a hardware function that could remotely deactivate the chips, also known as a “kill switch.”
Tensions between the U.S. and China on semiconductor export controls have escalated in recent weeks, even after Nvidia resumed sales of its H20 chip to China. Chinese state media has framed the H20 chip as inferior and dangerous compared to Nvidia’s other chips, while the company has defended its chips.
The company’s resumption of its H20 shipments reversed a previous ban on H20 sales that was placed in April by the Trump administration. Nvidia’s H20 chips — a less-advanced semiconductor compared to its flagship H100 and B100 chips, for example — were developed by Nvidia for the Chinese market after initial export restrictions on advanced AI chips in late 2023.
U.S. export controls on some Nvidia chips are rooted in national security concerns that Beijing could use the more advanced chips to gain an advantage broadly in AI, as well as in its military applications.
Nvidia CEO Jensen Huang has supported Trump’s policies while also lobbying for export licenses for the H20 AI chip. Huang has said he wants Nvidia to ship more advanced chips to China, underscoring his outspoken stance that Nvidia’s chips becoming the global standard for AI computing is ultimately better for the U.S. to retain market dominance and influence over global AI development.
China is among Nvidia’s largest markets. Nvidia took a $4.5 billion writedown on its unsold H20 inventory in May and has warned that its topline guidance for the July quarter would have been higher by $8 billion without the chip export restrictions.
Nvidia shares were up 1% to close at $182.70 on Friday and are up 36% this year.