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Marc Benioff, co-founder and chief executive officer of Salesforce.com Inc., speaks during the WSJDLive Global Technology Conference in Laguna Beach, California, U.S., on Wednesday, Oct. 26, 2016. The conference brings together an unmatched group of top CEOs, founders, pioneers, investors and luminaries to explore tech opportunities emerging around the world.

Patrick T. Fallon | Bloomberg | Getty Images

Turbulence in the upper ranks at Salesforce isn’t sitting well with Wall Street.

On Monday, the company announced the departure of Slack CEO Stewart Butterfield, who joined Salesforce last year as part of its biggest acquisition ever. Last Wednesday, Salesforce co-CEO Bret Taylor, who orchestrated the Slack deal, said he was leaving —exactly a year after getting promoted to share the top job with Marc Benioff.

In the three trading days since the Taylor news landed alongside Salesforce’s third-quarter earnings report, the stock has had two of its three worst days of the year, plunging 8.3% and 7.4%, respectively. Salesforce has now lost 47% of its value for the year, compared to the Nasdaq’s 28% drop, and is trading at its lowest since March 2020, the early days of the Covid-19 pandemic.

Taylor, who joined Salesforce in 2016 through the acquisition of his startup Quip, said he’d “decided to return to my entrepreneurial roots.” Benioff said on the earnings call, “We have to let him be free, let him go, and I understand, but I don’t like it.”

Butterfield made it clear that he’s leaving for different reasons.

“I’m not going to do anything entrepreneurial,” Butterfield wrote in a Slack message that was viewed by CNBC. “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).”

While Taylor and Butterfield are the highest-profile exits, they’re far from alone among Salesforce’s executive ranks.

Last month, Salesforce said Gavin Patterson, the president and strategy chief, would be leaving in January, and on Thursday Mark Nelson, president and CEO of Salesforce’s Tableau product, tweeted that it was his last day.

Along with Butterfield, Slack is losing product chief Tamar Yehoshua and Jonathan Prince, senior vice president in charge of marketing, brand and communications, people familiar with the matter previously told CNBC. Noah Weiss, senior vice president of product at Slack, will succeed Yehoshua, Butterfield said in a Slack message. Butterfield is being succeeded by Lidiane Jones, an executive vice president at Salesforce who joined in 2019.

Salesforce’s three-day plunge

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‘Two elephants in the room’

Slack was a pandemic-inspired acquisition. With workers forced to communicate remotely, Slack’s popular chat app blew up. In a series of tweets on March 25, 2020, Butterfield said the company had experienced “early signs of a surge in teams created and new paid customers unlike anything we had ever seen,” adding that the shift from email to chat channels, “which we believed to be inevitable over 5-7 years just got fast-forwarded by 18 months.”

Salesforce was so jazzed about Slack’s expansion that it paid over $27 billion for the company at a forward price-to-sales ratio of 24, one of the highest multiples ever in software. Taylor’s name was all over the deal, even though he wasn’t yet co-CEO. Taylor reached out to Butterfield multiple times in August and September 2020 about a possible acquisition, and the two negotiated throughout the process, which culminated in an agreement announced on Dec. 1 of that year, according to a filing with the SEC.

Salesforce’s purchase of Slack closed in July 2021, and its stock peaked four months later at almost $310. Since then, it’s lost 57% of its value, closing on Monday at $133.93.

Like its high-valued tech peers, Salesforce has been hurt this year by soaring inflation and rising interest rates, which have pushed investors into parts of the market deemed safer in a slowdown. Salesforce’s results haven’t helped. Last week, the company reported third-quarter revenue growth of 14%, the slowest expansion for any period since the company’s IPO in 2004. Its forecast for the fourth quarter is for growth of 8% to 10%.

In a break from third-quarter tradition, Salesforce neglected to provide guidance for its next fiscal year.

Analysts at Guggenheim wrote in a report that there were “two elephants in the room.” The first was omitting guidance for the coming year.

“The second elephant in the room is why Bret Taylor decided to give up his high-profile co-CEO and vice chair position after only a year,” wrote the Guggenheim analysts, who have the equivalent of a hold rating on the stock. The analysts reminded clients that three years ago, Keith Block resigned as co-CEO after 18 months on the job and wrote that “the company seems to have struggled since.”

Salesforce co-CEO Marc Benioff on Bret Taylor's departure from the company

After Taylor’s announcement last week, Wedbush analysts wrote that, “the Street will view this as a shocker with Taylor one of the mainstays in the CRM strategy.”

A Salesforce spokesperson declined to comment beyond reiterating a statement the company sent earlier regarding Butterfield’s departure.

On Thursday, Wolfe Research downgraded Salesforce stock to the equivalent of hold from a buy. They wrote that the company is moving into “a new and difficult chapter” after execution errors, big-name departures and slowing revenue growth.

The only day in 2022 that Salesforce’s stock has been hit harder than it was Thursday or Monday was at the very beginning of the year. On Jan. 5, UBS downgraded Salesforce and Adobe, telling clients that enterprise tech spending was pulled forward by the pandemic, leading to slower continued growth for the two companies.

WATCH: Salesforce shares under pressure after co-CEO Bret Taylor steps down

Salesforce shares under pressure after co-CEO Bret Taylor steps down

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World’s first major law for artificial intelligence gets final EU green light

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World’s first major law for artificial intelligence gets final EU green light

Mr.cole_photographer | Moment | Getty Images

European Union member states on Tuesday agreed the world’s first major law for regulating artificial intelligence, as institutions around the world race to introduce curbs for the technology.

The EU Council said that it reached final approval for the AI Act — a ground-breaking piece of regulation that aims to introduce the first comprehensive set of rules for artificial intelligence.

“The adoption of the AI act is a significant milestone for the European Union,” Mathieu Michel, Belgium’s secretary of state for digitization said in a Tuesday statement.

“With the AI act, Europe emphasizes the importance of trust, transparency and accountability when dealing with new technologies while at the same time ensuring this fast-changing technology can flourish and boost European innovation,” Michel added.

The AI Act applies a risk-based approach to artificial intelligence, meaning that different applications of the technology are treated differently, depending on the threats they pose to society.

The law prohibits applications of AI that are considered “unacceptable” in terms of their risk level. Forms of unacceptable AI applications feature so-called “social scoring” systems that rank citizens based on aggregation and analysis of their data, predictive policing, and emotional recognition in the workplace and schools.

High-risk AI systems cover autonomous vehicles or medical devices, which are evaluated on the risks they pose to the health, safety, and fundamental rights of citizens. They also include applications of AI in financial services and education, where there is a risk of bias embedded in AI algorithms.

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Tech giants pledge AI safety commitments — including a ‘kill switch’ if they can’t mitigate risks

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Tech giants pledge AI safety commitments — including a ‘kill switch’ if they can’t mitigate risks

Dado Ruvic | Reuters

A slew of major tech companies including Microsoft, Amazon, and OpenAI, on Tuesday agreed to a landmark international agreement on artificial intelligence safety at the Seoul AI Safety Summit.

The agreement will see companies from countries including the U.S., China, Canada, the U.K., France, South Korea, and the United Arab Emirates, make voluntary commitments to ensure the safe development of their most advanced AI models.

Where they have not done so already, AI model makers will each publish safety frameworks laying out how they’ll measure risks of their frontier models, such as examining the risk of misuse of the technology by bad actors.

These frameworks will include “red lines” for the tech firms that define the kinds of risks associated with frontier AI systems which would be considered “intolerable” — these risks include but aren’t limited to automated cyberattacks and the threat of bioweapons.

In those sorts of extreme circumstances, companies say they will implement a “kill switch” that would see them cease development of their AI models if they can’t guarantee mitigation of these risks.

“It’s a world first to have so many leading AI companies from so many different parts of the globe all agreeing to the same commitments on AI safety,” Rishi Sunak, the U.K.’s prime minister, said in a statement Tuesday.

“These commitments ensure the world’s leading AI companies will provide transparency and accountability on their plans to develop safe AI,” he added.

The pact agreed Tuesday expands on a previous set of commitments made by companies involved in the development of generative AI software the U.K.’s AI Safety Summit in Bletchley Park, England, last November.

The companies have agreed to take input on these thresholds from “trusted actors,” including their home governments as appropriate, before releasing them ahead of the next planned AI summit — the AI Action Summit in France — in early 2025.

The commitments agreed Tuesday only apply to so-called “frontier” models. This term refers to the technology behind generative AI systems like OpenAI’s GPT family of large language models, which powers the popular ChatGPT AI chatbot.

Ever since ChatGPT was first introduced to the world in November 2022, regulators and tech leaders have become increasingly worried about the risks surrounding advanced AI systems capable of generating text and visual content on par with, or better than, humans.

Microsoft's new PCs with AI is a 'thumbs up,' says WSJ's Joanna Stern

The European Union has sought to clamp down on unfettered AI development with the creation of its AI Act, which was approved by the EU Council on Tuesday.

The U.K. hasn’t proposed formal laws for AI, however, instead opting for a “light-touch” approach to AI regulation that entails regulators applying existing laws to the technology.

The government recently said it will consider legislating for frontier models at a point in future, but has not committed to a timeline for introducing formal laws.

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Amazon, Meta back Scale AI in $1 billion funding deal that values firm at $14 billion

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Amazon, Meta back Scale AI in  billion funding deal that values firm at  billion

Scale AI CEO Alex Wang, left.

Scale AI

Artificial intelligence startup Scale AI said Tuesday that it has raised $1 billion in a Series F funding round that values the enterprise tech company at $13.8 billion — almost double its last reported valuation. The San Francisco-based company, ranked No. 12 on this year’s CNBC Disruptor 50 list, has now raised $1.6 billion to date.

Its latest funding round is being led by Accel, and includes Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil (co-founder of Color Genomics and serial tech investor), and Meta, all of which are new investors in the company.

Existing investors including Y Combinator, Nat Friedman, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, Nvidia, Tiger Global Management, Greenoaks, and Wellington Management also participated in the round.

Scale AI is playing a key role in the rise of generative artificial intelligence and large language models, with the data — whether it is text, images, video or voice recordings — needing to be labeled correctly before it can be digested and used effectively by AI technology. Scale AI has evolved from labeling data used to train models that powered autonomous driving to now helping to improve and fine tune the underlying data for nearly any organization looking to implement AI, powering some of the most advanced models in use.

“Our calling is to build the data foundry for AI, and with today’s funding, we’re moving into the next phase of that journey – accelerating the abundance of frontier data that will pave our road to AGI,” founder and CEO Alexandr Wang said in a statement announcing the news.

More coverage of the 2024 CNBC Disruptor 50

Scale AI is also increasingly working with the public sector.

In August, the company was awarded a contract with the Department of Defense Chief Digital and Artificial Intelligence Office, which the company said will help boost the DoD’s efforts to advance AI capabilities for the entire military, spanning projects across the Army, Marine Corps, Navy, Air Force, Space Force and Coast Guard.

In May, Scale AI launched Donovan, an AI-powered decision-making platform that is the first LLM deployed to a U.S. government classified network.

Wang spoke at December’s AI Insight Forum in Washington, D.C., about the role Scale AI is playing in helping support the U.S. and its allies.

“The race for AI global leadership is well underway, and our nation’s ability to efficiently adopt and implement AI will define the future of warfare,” he said. “I firmly believe that the United States has the ability to lead the world in AI adoption to support U.S. national security. The world is not slowing down, and we must rise to the occasion.”

The company is also looking to play a role in AI development globally. It announced in May that it will open a London office as its European headquarters and will look to support and partner with the U.K. government on its AI initiatives.

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