Zahra Bahrololoumi, CEO of U.K. and Ireland at Salesforce, speaking during the company’s annual Dreamforce conference in San Francisco, California, on Sept. 17, 2024.
David Paul Morris | Bloomberg | Getty Images
LONDON — The UK chief executive of Salesforce wants the Labor government to regulate artificial intelligence — but says it’s important that policymakers don’t tar all technology companies developing AI systems with the same brush.
Speaking to CNBC in London, Zahra Bahrololoumi, CEO of UK and Ireland at Salesforce, said the American enterprise software giant takes all legislation “seriously.” However, she added that any British proposals aimed at regulating AI should be “proportional and tailored.”
Bahrololoumi noted that there’s a difference between companies developing consumer-facing AI tools — like OpenAI — and firms like Salesforce making enterprise AI systems. She said consumer-facing AI systems, such as ChatGPT , face fewer restrictions than enterprise-grade products, which have to meet higher privacy standards and comply with corporate guidelines.
“What we look for is targeted, proportional, and tailored legislation,” Bahrololoumi told CNBC on Wednesday.
“There’s definitely a difference between those organizations that are operating with consumer facing technology and consumer tech, and those that are enterprise tech. And we each have different roles in the ecosystem, [but] we’re a B2B organization,” she said.
A spokesperson for the UK’s Department of Science, Innovation and Technology (DSIT) said that planned AI rules would be “highly targeted to the handful of companies developing the most powerful AI models,” rather than applying “blanket rules on the use of AI. “
That indicates that the rules might not apply to companies like Salesforce, which don’t make their own foundational models like OpenAI.
“We recognize the power of AI to kickstart growth and improve productivity and are absolutely committed to supporting the development of our AI sector, particularly as we speed up the adoption of the technology across our economy,” the DSIT spokesperson added.
Data security
Salesforce has been heavily touting the ethics and safety considerations embedded in its Agentforce AI technology platform, which allows enterprise organizations to spin up their own AI “agents” — essentially, autonomous digital workers that carry out tasks for different functions, like sales, service or marketing.
For example, one feature called “zero retention” means no customer data can ever be stored outside of Salesforce. As a result, generative AI prompts and outputs aren’t stored in Salesforce’s large language models — the programs that form the bedrock of today’s genAI chatbots, like ChatGPT.
With consumer AI chatbots like ChatGPT, Anthropic’s Claude or Meta’s AI assistant, it’s unclear what data is being used to train them or where that data gets stored, according to Bahrololoumi.
“To train these models you need so much data,” she told CNBC. “And so, with something like ChatGPT and these consumer models, you don’t know what it’s using.”
Even Microsoft’s Copilot, which is marketed at enterprise customers, comes with heightened risks, Bahrololoumi said, citing a Gartner report calling out the tech giant’s AI personal assistant over the security risks it poses to organizations.
OpenAI and Microsoft were not immediately available for comment when contacted by CNBC.
AI concerns ‘apply at all levels’
Bola Rotibi, chief of enterprise research at analyst firm CCS Insight, told CNBC that, while enterprise-focused AI suppliers are “more cognizant of enterprise-level requirements” around security and data privacy, it would be wrong to assume regulations wouldn’t scrutinize both consumer and business-facing firms.
“All the concerns around things like consent, privacy, transparency, data sovereignty apply at all levels no matter if it is consumer or enterprise as such details are governed by regulations such as GDPR,” Rotibi told CNBC via email. GDPR, or the General Data Protection Regulation, became law in the UK in 2018.
However, Rotibi said that regulators may feel “more confident” in AI compliance measures adopted by enterprise application providers like Salesforce, “because they understand what it means to deliver enterprise-level solutions and management support.”
“A more nuanced review process is likely for the AI services from widely deployed enterprise solution providers like Salesforce,” she added.
Bahrololoumi spoke to CNBC at Salesforce’s Agentforce World Tour in London, an event designed to promote the use of the company’s new “agentic” AI technology by partners and customers.
Her remarks come after U.K. Prime Minister Keir Starmer’s Labour refrained from introducing an AI bill in the King’s Speech, which is written by the government to outline its priorities for the coming months. The government at the time said it plans to establish “appropriate legislation” for AI, without offering further details.
Against a volatile market backdrop, the software maker’s stock has gained 45% and is the best performer among companies valued at $5 billion or more, according to FactSet. The closest tech names are VeriSign, up 33%, Okta, up 30%, Robinhood, up 29%, and Uber, up 29%.
“When you think about macroeconomic concerns, you as a company need to be more efficient, and this is where Palantir thrives,” said Bank of America analyst Mariana Pérez Mora.
Palantir has set itself apart in the software world for its artificial-intelligence-enabled tools, gaining recognition for its defense and software contracts with key U.S. government agencies, including the military. In the fourth quarter, its government revenues jumped 45% year-over-year to $343 million.
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Companies have faced immense volatility in 2025 as tariffs threaten to jeopardize global supply chains and halt day-to-day manufacturing operations by hiking costs. Those fears have brought the broad market index down about 7% this year, while the tech-heavy Nasdaq Composite has slumped 11%.
At the same time, the Trump administration has clamped down on government spending, giving Tesla CEO Elon Musk‘s Department of Government Efficiency freedom to slash public sector costs. Some administration officials have touted shifting dollars from consulting contracts to commercial software providers like Palantir, said William Blair analyst Louie DiPalma.
“Palantir’s business model is highly aligned with the priorities of the Trump administration in terms of increasing agility and being very quick to market,” he said.
That’s put Palantir in the league with major contractors such as Lockheed Martin and Northrop Grumman, which have outperformed in this year’s downdraft. Many companies in the space are also looking to partner with the firm and tend to flock to defense during recessionary times, DiPalma said.
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Palantir vs. the Nasdaq Composite
CEO Alex Karp has also been a vocal supporter of American innovation and the company’s central role in helping prop up what he called the “single best tech scene in the world” during an interview with CNBC earlier this year. Karp also told CNBC that the U.S. needs an “all-country effort” to compete against emerging adversaries.
But the ride for Palantir has been far from smooth, and shares have been susceptible to volatile swings. Shares sold off nearly 14% during the week that Trump first announced tariffs. Shares rocketed 22% one day in February on strong earnings.
Its inclusion in more passive and quant funds over the years and the growing attention of retail traders has added to that turbulence, DiPalma said. Last year, the company joined both the S&P and Nasdaq. Palantir trades at one of the highest price-to-earnings multiples in software and last traded at 185 times earnings over the next twelve months. That puts a steep bar on the stock.
Kurt Sievers, chief executive officer of NXP Semiconductors NV, during the Federation of German Industries (BDI) conference in Berlin, Germany, on Monday, June 19, 2023.
NXP Semiconductor Inc. fell about 8% on Monday after the chip company announced that CEO Kurt Sievers will step down as part of its latest earnings.
Here’s how the company did, versus LSEG consensus estimates:
Earnings per share: $2.64 adjusted vs. $2.58 expected
Revenue: $2.84 billion vs. $2.83 billion expected
Sievers will retire at the end of the year, with Rafael Sotomayor stepping in as president on April 28, 2025.
The company beat expectations on the top and bottom lines but cited a “challenging set of market conditions” looking forward.
“We are operating in a very uncertain environment influenced by tariffs with volatile direct and indirect effects,” Sievers said in an earnings release.
Sales in NXP’s first quarter declined 9% year over year.
The company posted $1.67 billion in auto sales during the first quarter, trailing analyst estimates of $1.69 billion.
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NXP Semi said that second-quarter sales would come in at a midpoint of $2.9 billion, ahead of the $2.87 billion that analysts were projecting. Second-quarter adjusted EPS will be $2.66, in line with analyst estimates.
The company logged first-quarter net income of $490 million, which was a 23% year-to-year drop from $639 million.
NXP’s net income per share was $1.92 compared to $2.47 during the same time a year ago. A drop of 22%.
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Microsoft President Brad Smith speaks during signing ceremony of cooperation agreement between the Polish Ministry of Defence and Microsoft, in Warsaw, Poland, February 17, 2025.
Kacper Pempel | Reuters
The U.S. cannot afford to fall behind China in the race to a working quantum computer, Microsoft President Brad Smith wrote Monday.
President Donald Trump and the U.S. government need to prioritize funding for quantum research, or China could surpass the U.S., endangering economic competitiveness and security, Smith wrote.
“While most believe that the United States still holds the lead position, we cannot afford to rule out the possibility of a strategic surprise or that China may already be at parity with the United States,” Smith wrote. “Simply put, the United States cannot afford to fall behind, or worse, lose the race entirely.”
Microsoft’s position is the latest sign that research into quantum computing is starting to heat up among big tech companies and investors who are looking for the next technology that could rival the artificial intelligence boom.
Smith is calling for the Trump administration to increase funding for quantum research, renew the National Quantum Initiative Act and expand a program for testing quantum computers by the Defense Advanced Research Projects Agency, or DARPA. The Microsoft executive is also calling on the White House to expand the educational pipeline of people who have the math and science skills to work on quantum machines, fast-track immigration for Ph.D.s with quantum skills and for the government to buy more quantum-related computer parts to build a U.S. supply chain.
Microsoft did not detail how China surpassing the U.S. in quantum computing technology would endanger national security, but a National Security Agency official last year discussed what could happen if China or another adversary surprised the U.S. by building a quantum computer first.
The official, NSA Director of Research Gil Herrera, said that if such a “black swan” event happened, banks might not be able to keep transactions private because a quantum computer could crack their encryption, according to the Washington Times. A working quantum computer could also crack existing encrypted data that is usually shared publicly in a scrambled fashion, which could reveal secrets on U.S. nuclear weapon systems.
In February, Microsoft announced its latest quantum chip called Majorana, claiming that it invented a new kind of matter to develop the prototype device. Last year, Google announced Willow, a new device the company claimed was a “milestone” because it was able to correct errors and solve a math problem in five minutes that would have taken longer than the age of the universe on a traditional computer.
While the computers people are used to use bits that are either 0 or 1 to do calculations, quantum computers use “qubits,” which end up being on or off based on probability. Experts say that quantum computers will eventually be useful for problems with nearly infinite possibilities, such as simulating chemistry, or routing deliveries.
But the current quantum computers are far away from that point, and many computer industry participants say it could take decades for quantum computers to reach their potential.
Microsoft’s chip, Majorana, has eight qubits, but the company says it has a goal of least 1 million qubits for a commercially useful chip. Microsoft needs to build a device with a few hundred qubits before the company starts looking at whether it’s reliable enough for customers.