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Anthropic on Wednesday announced its first-ever enterprise offering and a free iPhone app.

The generative artificial intelligence startup is the company behind Claude, one of the chatbots that, like OpenAI’s ChatGPT and Google‘s Gemini, has exploded in popularity in the past year. Anthropic, founded by ex-OpenAI research executives, has backers including Google, Salesforce and Amazon, and in the past year, it’s closed five different funding deals totaling about $7.3 billion.

The new plan for businesses, dubbed Team, has been in development over the last few quarters and involved beta-testing with between 30 and 50 customers in industries such as technology, financial services, legal services and health care, Anthropic co-founder Daniela Amodei told CNBC in an interview, adding that the idea for the service was partially borne out of many of those same customers asking for a dedicated enterprise product.

“So much of what we were hearing from enterprise businesses is people are kind of using Claude at the office already,” Amodei said.

The Team plan offers access to all three of Anthropic’s latest Claude models, with increased usage limits, admin tools and billing management, as well as a longer “context window,” meaning the ability for businesses to have “multi-step conversations” and upload long documents like research papers and legal contracts for processing, according to Anthropic. Other features coming include “citations from reliable sources to verify AI generated claims,” per the release.

The Team offering costs $30 per user per month when billed monthly. It requires a minimum of five users.

Anthropic iPhone app

Anthropic’s first iOS app is free for users across all plans and also available starting Wednesday. It provides syncing with web chats and the ability to upload photos and files from a smartphone.

There are plans to launch an Android app, too. “We actually just hired our first Android engineer, so we are actively working on the Android app,” Amodei told CNBC, adding that the engineer starts next week.

News of the Team plan and iOS app comes more than a month after Anthropic’s debut of Claude 3, a suite of AI models that it says are its fastest and most powerful yet. The new tools are called Claude 3 Opus, Sonnet and Haiku.

The company has said the most capable of the new models, Claude 3 Opus, outperformed OpenAI’s GPT-4 and Google’s Gemini Ultra on industry benchmark tests, such as undergraduate-level knowledge, graduate level reasoning and basic mathematics. This is also the first time Anthropic has offered multimodal support: Users can upload photos, charts, documents and other types of unstructured data for analysis and answers.

The other models, Sonnet and Haiku, are more compact and less expensive than Opus. The company declined to specify how long it took to train Claude 3 or how much it cost, but it said companies like Airtable and Asana helped A/B test the models. In a release on Wednesday, Anthropic confirmed that other current clients using Claude include Pfizer, Asana, Zoom, Perplexity AI, Bridgewater Associates and more currently.

The generative AI field has exploded over the past year, with a record $29.1 billion invested across nearly 700 deals in 2023, a more than 260% increase in deal value from a year earlier, according to PitchBook. It’s become the buzziest phrase on corporate earnings calls quarter after quarter. Academics and ethicists have voiced significant concerns about the technology’s tendency to propagate bias, but even so, it’s quickly made its way into schools, online travel, the medical industry, online advertising and more.

Around this time last year, Anthropic had completed Series A and B funding rounds, but it had only rolled out the first version of its chatbot without any consumer access or major fanfare. Now, it’s one of the hottest AI startups, with a product that directly competes with ChatGPT in both the enterprise and consumer worlds.

Claude 3 can summarize up to about 150,00 words, or a sizeable book, about the length range of “Moby Dick” or “Harry Potter and the Deathly Hallows.” Its previous version could only summarize 75,000 words. Users can input large data sets, and ask for summaries in the form of a memo, letter or story. ChatGPT, by contrast, can handle about 3,000 words.

In January, OpenAI came under fire regarding its enterprise offering, for quietly walking back a ban on the military use of ChatGPT and its other artificial intelligence tools. Its policies still state that users should not “use our service to harm yourself or others,” including to “develop or use weapons.” Before the change, OpenAI’s policy page specified that the company did not allow the usage of its models for “activity that has high risk of physical harm, including: weapons development [and] military and warfare.”

Anthropic’s stance on the military use of Claude is similar to OpenAI’s updated policy.

“The way that we draw the line there today is we don’t discriminate based on industry or based on business, but we have an acceptable use policy that says what you can and can’t use Claude for,” Amodei told CNBC, adding, “Any business in the world that’s not in a sanctioned country, of course, [and] meets basic business requirements, can use Claude for all kinds of back-office applications and things like that, but we have… very strict guidance around Claude not being used for weapons, basically anything that can cause violence or harm people.”

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HSBC, General Atlantic CEOs flag AI capex-revenue mismatch, ‘irrational exuberance’

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HSBC, General Atlantic CEOs flag AI capex-revenue mismatch, 'irrational exuberance'

HONG KONG, CHINA – 2025/03/01: In this photo illustration, Artificial intelligence (AI) apps of perplexity, DeepSeek and ChatGPT are seen on a smartphone screen.

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As companies pour billions into artificial intelligence, HSBC CEO Georges Elhedery on Tuesday warned of a mismatch between investments and revenues.

Speaking at the Global Financial Leaders’ Investment Summit in Hong Kong, Elhedery said the scale of investment poses a conundrum for companies: while the computing power for AI is essential, current revenue profiles may not justify such massive spending.

Morgan Stanley in July estimated that over the next five years, global data center capacity would grow six times, with data centers and their hardware alone costing $3 trillion by the end of 2028.

McKinsey said in a report in April that by 2030, data centers equipped to handle AI processing loads would require $5.2 trillion in capital expenditure to keep up with compute demand, while the capex for those powering traditional IT applications is forecast at $1.5 trillion.

Elhedery said that consumers were not ready to pay for it, and businesses will be cautious as productivity benefits will not materialize in a year or two.

“These are like five year trends, and therefore the ramp up means that we will start seeing real revenue benefits and real readiness to pay for it, probably later than than the expectations of investors,” he said.

William Ford, chairman and CEO of General Atlantic, speaking at the same panel, agreed: “In the long term, you’re going to create a whole new set of industries and applications, and there will be a productivity payoff, but that’s a 10-, 20-year play.”

Big Tech firms AlphabetMetaMicrosoft and Amazon have all lifted their guidance for capital expenditures and now collectively expect that number to reach more than $380 billion this year.

OpenAI, which set off the AI frenzy with the launch of ChatGPT in November 2022, has announced roughly $1 trillion worth of infrastructure deals with partners including NvidiaOracle and Broadcom.

Ford said that the huge expenditure that is going into the sector shows that people recognize the long-term impact of AI. This sector, however, will be capital-intensive initially, he said adding that “you need to, sort of, pay up front for the opportunity that’s going to come down the road.”

Ford warned there could be “misallocation of capital, destruction, overvaluation… [and] irrational exuberance” in the initial stages, and also added that it can be difficult to pick winners and losers at the moment.

“You’re really betting on this being a broad based technology, more like railroads or electricity, that had profound impacts over over time, and reshaped the economy, but were very hard to predict exactly how in the first few years.”

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AI is not in a bubble, says VC founder. Why he says it’s different to the dotcom boom

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AI is not in a bubble, says VC founder. Why he says it's different to the dotcom boom

VC founder: AI isn't a bubble — but its founders need to start thinking globally

Whether or not markets are getting ahead of themselves over artificial intelligence is a hot topic for investors right now.

Last week, billionaire investor Ray Dalio said his personal “bubble indicator” was relatively high, while Federal Reserve Chair Jerome Powell described the AI boom as “different” from the dotcom bubble.

For Magnus Grimeland, founder of Singapore-based venture capital firm Antler, it’s clear the market is not overheating. “I definitely don’t think we’re in a bubble,” he told CNBC’s “Beyond the Valley” podcast, listing several reasons.

The speed at which AI is being adopted by businesses is notable compared to other tech shifts, Grimeland said, such as the move from physical servers to cloud computing, which he said took a decade. Added to this, AI is “top of the agenda” for leaders today, he said, whether they’re running a healthcare provider in India or a U.S. Fortune 500 company.

“There’s a willingness to invest into using that technology … and that’s happened immediately,” Grimeland said.

He described the rapid shift to AI as being substantially different from the dotcom bubble of the late 1990s and early 2000s, when unprofitable internet startups eventually collapsed and the tech-heavy Nasdaq lost almost 80% of its value between March 2000 and October 2002.

“What makes this a little bit different from a bubble and makes it very different from dotcom is that there’s really real revenues behind a lot of this growth,” Grimeland said.

OpenAI, the company behind ChatGPT, said it reached $10 billion in annual recurring revenue in June. Annual recurring revenue (ARR) is the amount of money a company expects to make from customers over 12 months.

Antler is an investor in Lovable, a company that enables people to build apps and websites using AI. In July, Lovable said it had passed $100 million ARR in eight months.

Another reason that the rapid adoption of AI is different from the dotcom boom is the speed at which consumers are taking to the technology, Grimeland said. “Think about how quickly our behavior online has changed, right? … 100% of my searches a year ago [were on] Google. Now it’s probably 20%,” he said.

Earlier this month, OpenAI launched its ChatGPT Atlas browser for Mac OS, with shares of Google’s parent company Alphabet falling on the news.

Smaller AI players

While Grimeland said there was a “tremendous” amount of money going to AI-related companies at the “wrong” valuation, these trends happen at the beginning of an investment cycle, he said. “But in the end … The opportunity in this space is so much bigger than the investments being put there,” Grimeland added.

Asked whether there are opportunities for AI startups when large U.S. and Chinese companies currently dominate the sector, Grimeland said the big firms were “being challenged in the way they haven’t for a very long time.” He gave the example of DeepSeek, the Chinese startup that has produced AI models comparable to those from OpenAI.

Tencent is building great AI, Baidu is building great AI, but that’s not where DeepSeek came from, right?” Grimeland said. “The AI winners of this current platform shift [are] not necessarily those big incumbents.”

As such, there are significant opportunities for smaller AI companies to become big businesses, Grimeland said, flagging firms that have “positive signals,” such as a good founding team, growth in the lifetime value of a customer and a reduction in the cost of delivering a product.

– CNBC’s Dylan Butts, Ashley Capoot, Alex Harring and Jaures Yip contributed to this report.

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Fentanyl, ICE and popcorn: Palantir CEO Alex Karp’s earnings call commentary

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Fentanyl, ICE and popcorn: Palantir CEO Alex Karp's earnings call commentary

Alex Karp, Palantir CEO, joins CNBC’s ‘Squawk on the Street’ on June 5, 2025.

CNBC

Palantir CEO Alex Karp took on a familiar target during the company’s earnings call on Monday: His critics.

“Please turn on the conventional television and see how unhappy those that didn’t invest in us are,” Karp said, after the data analytics company reported better-than-expected third-quarter results. “Enjoy, get some popcorn, they’re crying. We are every day making this company better and we’re doing it for this nation, for allied countries.”

Palantir shares are up 25-fold in the past three years, lifting its market cap to over $490 billion and a forward price-to-earnings ratio of almost 280. The stock slipped in extended trading despite the earnings beat and upbeat guidance.

Karp, who co-founded the company in 2003, said Palantir is “going to go very, very deep on our rightness” because it is “exceedingly good for America.”

The eccentric and outspoken CEO has gained a reputation over the years for his colorful — and oftentimes political — commentary in interviews, shareholder letters and on earnings calls. His essay-like quarterly letters have previously quoted famous philosophers, the New Testament and President Richard Nixon.

In Monday’s letter, Karp quoted 20th-century Irish poet William Butler Yeats and argued for a shared “national experience.” He wrote that rejecting a “shared and defined sense of common culture” poses significant drawbacks.

It’s “that pursuit of something greater, and rejection of a vacant and neutered and hollow pluralism, that will help ensure our continued strength and survival,” he wrote.

On the call, Karp pivoted from a discussion of artificial intelligence adoption to fentanyl overdoses in America, a topic he described as “slightly political.”

“I want people to remember if fentanyl was killing 60,000 Yale grads instead of 60,000 working class people, we would be dropping a nuclear bomb on whoever was sending it from South America,” he said.

Karp also commented on the company’s deals with U.S. Immigration and Customs Enforcement and the Israeli military. Earlier this year, Palantir won a $30 million deal to build ImmigrationOS for ICE, providing data on the identification and deportation of immigrants.

In 2023, Karp had a message for people in the tech industry who have misgivings about his company’s dealings with intelligence agencies and the military.

“You may not agree with that and, bless you, don’t work here,” Karp said at the World Economic Forum in Davos, Switzerland.

Palantir, which gets more than half its U.S. revenue from the government, also provided tools to Israel after the deadly Oct. 7 attack by militant group Hamas. In recent years, both Karp and the company have undertaken a fiercely pro-Israel stance.

Following the Oct. 7 attack, Palantir took out a full-page ad in The New York Times, saying it “stands with Israel” and held its first board meeting in Tel Aviv, Israel, a few months later. Karp has said the company has lost employees due to his staunch Israel stance, and he expects more to leave.

“We’re on the front line of all adversaries, including vis-à-vis China, we’re on ICE and we’ve supported Israel,” he said on the earnings call. “I don’t know why this is all controversial, but many people find that controversial.”

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