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Ahead of its IPO, Anthropic's Daniela Amodei shrugs off doubts about AI's returns
Private investors have been falling over themselves to get a piece of Anthropic, given the AI model maker is growing at a dizzying pace. Multiple investors told TechCrunch that the company's $65 billion fundraise at a $965 billion valuation, announced last week, was greatly oversubscribed. Now, with that private demand still strong, Anthropic has revealed that it's taking steps towards a public listing by filing confidentially for an IPO. Co-founder Daniela Amodei, speaking at the Bloomberg Tech conference on Thursday, said the decision comes down to capital. "It's a really big upfront cost to train the models and to serve inference on them," she said. "My guess is that over time, the sort of core set of companies that are working to advance the frontier are just going to need access to capital, and I think the public market is very well suited to that." Anthropic has been growing at a breakneck pace. The company announced that annualized revenue crossed $47 billion in May, up dramatically from roughly $9 billion at the end of 2025. That trajectory faces a real test, though. Companies such as Uber have said that while AI can deliver returns, not all of their AI spending has proven productive, raising the prospect that corporations could begin to rein those budgets and slow growth across the sector. That isn't fazing Amodei, who believes businesses are still early in figuring out how to deploy AI effectively. "The use cases today, I expect will continue to be the primary driver of efficiency or creativity, whether that's coding, financial services, legal, [or] health care," she said. "But as the business community gets more familiar with the tools, we're all going to learn together. My hope is that over time it'll be more incorporated into the day-to-day of how humans do our work, and there will actually be a lot more value realized." Amodei also addressed why, unlike rivals like OpenAI and Elon Musk's xAI, Anthropic isn't building its own data centers to meet the company's growing compute needs. "Anthropic's view has always been wanting to plan for the best outcome but not overextend ourselves such that we're buying more compute than we could productively use," she said. "It's really hard to predict that perfectly. We would much prefer to be on the side of having a little bit more demand for the product than we're able to serve than the inverse." Last month, the company surprised the AI industry by partnering with xAI for compute capacity, a deal later disclosed in SpaceX's S-1 filing to cost Anthropic $1.25 billion per month.
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Anthropic's Daniela Amodei Charts Leaner A.I. Strategy as IPO Race With OpenAI Heats
"The difference in our consumer product compared to competitors is that we're not an entertainment tool. It's really for productive activities, whether those are at work or at home," Amodei said. Days after Anthropic confidentially filed to go public, edging ahead of OpenAI in a closely watched IPO race among A.I. giants, Daniela Amodei, the company's co-founder and president, sought to draw a sharper distinction between the two rivals. Anthropic is currently valued at $965 billion, with expectations it could climb past $1 trillion on the public markets, compared with OpenAI's roughly $900 billion valuation. But as Amodei framed it, the competition is not just about numbers, but about how the technology itself is built and used. Sign Up For Our Daily Newsletter Sign Up Thank you for signing up! By clicking submit, you agree to our <a href="http://observermedia.com/terms">terms of service</a> and acknowledge we may use your information to send you emails, product samples, and promotions on this website and other properties. You can opt out anytime. See all of our newsletters "The whole reason we started Anthropic is to be able to build and develop this technology in a way that is ethical, responsible, fair, and I think it's really incumbent upon everybody at the company, but especially leadership, to say, all of these numbers, they're actually not the point," Amodei said at this year's Bloomberg Tech Summit in San Francisco yesterday (June 4). Anthropic was founded by seven former OpenAI employees, including Daniela and her brother, Dario, who is the company's CEO, aiming to build a more transparent and safety-focused A.I. firm. Its divergence from OpenAI extends beyond positioning to how it plans to grow. The company has emphasized securing compute capacity, including a deal with Elon Musk's SpaceX (which absorbed xAI earlier this year) to access its data centers in Memphis that will cost $1.25 billion per month. But Amodei said Anthropic is deliberately avoiding the aggressive spending levels seen elsewhere. OpenAI has projected as much as $600 billion in compute spending by 2030; Anthropic expects to spend roughly one-third of that. "The structure of these deals is you have to commit to a certain amount of compute reasonably far in advance, and [we don't want to] overextend ourselves such that we're buying more compute than we could productively use," Amodei explained. "We would much prefer to be on the side of having a little bit more demand for the product than we're able to serve than the inverse, where you overshoot and then you're not in a great situation, because you've bought something you can't pay for down the road." While Anthropic has also expressed interest in more speculative infrastructure, such as SpaceX's proposed orbital data centers, Amodei said there are "no immediate plans for working with astronauts to get space data centers going." "But you never know," she added. Product strategy marks another key split. Anthropic has prioritized enterprise and coding use cases over mass-market consumer engagement. That contrasts with OpenAI, where more than 70 percent of ChatGPT usage is tied to personal tasks such as search, tutoring and life advice. "We have always felt that enterprise and business are the best spiritual fit for Anthropic and our values," Amodei said. "The difference in our consumer product compared to competitors is that we're not an entertainment tool. It's really for productive activities, whether those are at work or at home." Both companies, however, are investing heavily in advanced cybersecurity A.I. Anthropic's Claude Mythos has raised concerns about its ability to exploit vulnerabilities. OpenAI's Daybreak targets similar risks but takes a different approach to deployment. Daybreak is integrated into existing GPT workflows and offered in tiered access based on user verification. Mythos operates as a closed consortium limited to vetted organizations across roughly 15 countries, including the U.S. government, NATO, ENISA, Samsung and Okta. "You have to give the defenders a head start," said Amodei. "A.I. models are going to keep advancing. If it's not us one day releasing a Mythos-level model [to the public], another A.I. company will." Anthropic has also taken a more cautious stance on government work. The company withdrew from a Pentagon contract involving domestic surveillance and autonomous weapons, which OpenAI later assumed. Still, Amodei described broader collaboration with the U.S. government as positive. "Every company is going to have its own principles about what its red lines and values are," she said. "It's important that, whatever those values are for you as a company, you are true to them, you feel like you can explain them to employees and to the world more broadly."
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Anthropic has confidentially filed for an IPO at a $965 billion valuation, with annualized revenue hitting $47 billion in May. Co-founder Daniela Amodei outlined a deliberately cautious approach to compute spending—planning to invest roughly one-third of OpenAI's projected $600 billion by 2030—while emphasizing enterprise productivity over consumer entertainment as the company races toward public markets.
Anthropic has confidentially filed for an IPO following a $65 billion fundraise at a $965 billion valuation that was heavily oversubscribed, according to multiple investors who spoke with TechCrunch
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. Speaking at the Bloomberg Tech Summit in San Francisco, co-founder and president Daniela Amodei explained that Anthropic's decision to pursue public listing centers on capital needs. "It's a really big upfront cost to train the models and to serve inference on them," she said1
. The move positions Anthropic ahead of OpenAI in a closely watched race among AI giants, with expectations the company could surpass $1 trillion in valuation on public markets compared to OpenAI's roughly $900 billion private valuation2
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Source: TechCrunch
The AI model maker has grown at breakneck speed, with annualized revenue crossing $47 billion in May, up dramatically from roughly $9 billion at the end of 2025
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. This explosive growth trajectory comes as questions mount about AI's future returns, with companies like Uber acknowledging that not all AI spending has proven productive, raising concerns that corporations could begin reining in budgets and slowing sector-wide growth.Anthropic is charting a markedly different course from competitors when it comes to spending on compute capacity. While OpenAI has projected as much as $600 billion in compute spending by 2030, Anthropic expects to spend roughly one-third of that amount
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. Amodei emphasized this deliberate restraint: "Anthropic's view has always been wanting to plan for the best outcome but not overextend ourselves such that we're buying more compute than we could productively use," she explained1
.This cautious approach explains why Anthropic, unlike rivals such as OpenAI and Elon Musk's xAI, isn't building its own data centers. "We would much prefer to be on the side of having a little bit more demand for the product than we're able to serve than the inverse," Amodei said
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. Instead, the company surprised the industry last month by partnering with xAI for compute capacity, a deal later disclosed in SpaceX's S-1 filing to cost Anthropic $1.25 billion per month1
.Anthropic's AI strategy diverges sharply from OpenAI's consumer-focused approach. While more than 70 percent of ChatGPT usage ties to personal tasks such as search, tutoring and life advice, Anthropic has prioritized enterprise use cases and coding use cases over mass-market engagement
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. "We have always felt that enterprise and business are the best spiritual fit for Anthropic and our values," Amodei said2
.This emphasis on ethical AI development runs deep in the company's DNA. Founded by seven former OpenAI employees, including Daniela and her brother Dario Amodei, who serves as CEO, Anthropic aims to build more transparent and safety-focused AI. "The whole reason we started Anthropic is to be able to build and develop this technology in a way that is ethical, responsible, fair," Daniela Amodei stated
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. She drew a sharp distinction between Anthropic's consumer product and competitors: "We're not an entertainment tool. It's really for productive activities, whether those are at work or at home"2
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Source: Observer
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Both Anthropic and OpenAI are investing heavily in cybersecurity AI, though with different deployment strategies. Anthropic's Claude Mythos operates as a closed consortium limited to vetted organizations across roughly 15 countries, including the U.S. government, NATO, ENISA, Samsung and Okta
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. "You have to give the defenders a head start," Amodei explained2
. OpenAI's Daybreak, by contrast, integrates into existing GPT workflows with tiered access based on user verification.On government contracts, Anthropic has taken a more cautious stance aligned with responsible AI principles. The company withdrew from a Pentagon contract involving domestic surveillance and autonomous weapons, which OpenAI later assumed
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. "Every company is going to have its own principles about what its red lines and values are," Amodei said, adding that companies must stay true to their values and be able to explain them to employees and the world2
.Despite concerns about slowing corporate AI budgets, Amodei remains confident that businesses are still early in learning how to deploy AI effectively. "The use cases today, I expect will continue to be the primary driver of efficiency or creativity, whether that's coding, financial services, legal, [or] health care," she said, expressing hope that AI will become more incorporated into day-to-day work as the business community grows more familiar with the tools
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