Amazon is making its largest outside investment in its three-decade history as it looks to gain an edge in the artificial intelligence race.
The tech giant said it will spend another $2.75 billion backing Anthropic, a San Francisco-based startup that’s widely viewed as a front-runner in generative artificial intelligence. Its foundation model and chatbot Claude competes with OpenAI and ChatGPT.
The companies announced an initial $1.25 billion investment in September, and said at the time that Amazon would invest up to $4 billion. Wednesday’s news marks Amazon’s second tranche of that funding.
Amazon will maintain a minority stake in the company and won’t have an Anthropic board seat, the company said. The deal was struck at the AI startup’s last valuation, which was $18.4 billion, according to a source.
Over the past year, Anthropic closed five different funding deals worth about $7.3 billion. The company’s product directly competes with OpenAI’s ChatGPT in both the enterprise and consumer worlds, and it was founded by ex-OpenAI research executives and employees.
News of the Amazon investment comes weeks after Anthropic debuted Claude 3, its newest suite of AI models that it says are its fastest and most powerful yet. The company said the most capable of its new models 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.
“Generative AI is poised to be the most transformational technology of our time, and we believe our strategic collaboration with Anthropic will further improve our customers’ experiences, and look forward to what’s next,” said Swami Sivasubramanian, vice president of data and AI at AWS cloud provider.
Amazon’s move is the latest in a spending blitz among cloud providers to stay ahead in the AI race. And it’s the second update in a week to Anthropic’s capital structure. Late Friday, bankruptcy filings showed crypto exchange FTX struck a deal with a group of buyers to sell the majority of its stake in Anthropic, confirming a CNBC report from last week.
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What is generative AI?
The term generative AI entered the mainstream and business vernacular seemingly overnight, and the field has exploded over the past year, with a record $29.1 billion invested across nearly 700 deals in 2023, according to PitchBook. OpenAI’s ChatGPT first showcased the tech’s ability to produce human-like language and creative content in late 2022. Since then, OpenAI has said more than 92% of Fortune 500 companies have adopted the platform, spanning industries such as financial services, legal applications and education.
Cloud providers like Amazon Web Services don’t want to be caught flat-footed.
It’s a symbiotic relationship. As part of the agreement, Anthropic said it will use AWS as its primary cloud provider. It will also use Amazon chips to train, build and deploy its foundation models. Amazon has been designing its own chips that may eventually compete with Nvidia.
Microsoft has been on its own spending spree with a high-profile investment in OpenAI. Microsoft’s OpenAI bet has reportedly jumped to $13 billion as the startup’s valuation has topped $29 billion. Microsoft’s Azure is also OpenAI’s exclusive provider for computing power, which means the startup’s success and new business flows back to Microsoft’s cloud servers.
Google, meanwhile, has also backed Anthropic, with its own deal for Google Cloud. It agreed to invest up to $2 billion in Anthropic, comprising a $500 million cash infusion, with another $1.5 billion to be invested over time. Salesforce is also a backer.
Anthropic’s new model suite, announced earlier this month, marks the first time the company has offered “multimodality,” or adding options like photo and video capabilities to generative AI.
But multimodality, and increasingly complex AI models, also lead to more potential risks. Google recently took its AI image generator, part of its Gemini chatbot, offline after users discovered historical inaccuracies and questionable responses, which circulated widely on social media.
Anthropic’s Claude 3 does not generate images. Instead, it only allows users to upload images and other documents for analysis.
“Of course no model is perfect, and I think that’s a very important thing to say upfront,” Anthropic co-founder Daniela Amodei told CNBC earlier this month. “We’ve tried very diligently to make these models the intersection of as capable and as safe as possible. Of course there are going to be places where the model still makes something up from time to time.”
Amazon’s biggest venture bet before Anthropic was electric vehicle maker Rivian, where it invested more than $1.3 billion. That too, was a strategic partnership.
These partnerships have been picking up in the face of more antitrust scrutiny. A drop in acquisitions by the Magnificent Seven — Amazon, Microsoft, Apple, Nvidia, Alphabet, Meta and Tesla — has been offset by an increase in venture-style investing, according to Pitchbook.
Big Tech’s investments
AI and machine-learning investments from those seven tech companies jumped to $24.6 billion last year, up from $4.4 billion in 2022, according to Pitchbook. At the same time, Big Tech’s M&A deals fell from 40 deals in 2022 to 13 last year.
“There is a sort of paranoia motivation to invest in potential disruptors,” Pitchbook AI analyst Brendan Burke said in an interview. “The other motivation is to increase sales, and to invest in companies that are likely to use the other company’s product — they tend to be partners, more so than competitors.”
Big Tech’s spending spree in AI has come under fire for the seemingly circular nature of these agreements. By investing in AI startups, some observers, including Benchmark’s Bill Gurley, have accused the tech giants of funneling cash back to their cloud businesses, which in turn, may show up as revenue. Gurley described it as a way to “goose your own revenues.”
The U.S. Federal Trade Commission is taking a closer look at these partnerships, including Microsoft’s OpenAI deal and Google and Amazon’s Anthropic investments. What’s sometimes called “round tripping” can be illegal — especially if the aim is to mislead investors. But Amazon has said that this type of venture investing does not constitute round tripping.
FTC Chair Lina Khan announced the inquiry during the agency’s tech summit on AI, describing it as a “market inquiry into the investments and partnerships being formed between AI developers and major cloud service providers.”
Correction: This article has been updated to clarify the deals Anthropic has closed in the past year.
Ted Pick, CEO Morgan Stanley, speaking on CNBC’s Squawk Box at the World Economic Forum Annual Meeting in Davos, Switzerland on Jan. 18th, 2024.
Adam Galici | CNBC
Morgan Stanley topped analysts’ estimates for third quarter profit as its wealth management, trading and investment banking operations generated more revenue than expected.
Here’s what the company reported:
Earnings:$1.88 a share vs $1.58 LSEG estimate
Revenue: $15.38 billion vs. $14.41 billion estimate
Morgan Stanley had several tailwinds in its favor. The bank’s massive wealth management business was helped by high stock market values in the quarter, which inflates the management fees the bank collects.
Investment banking has rebounded after a dismal 2023, a trend that may continue as easing rates will encourage more financing and merger activity.
Finally, its Wall Street rivals have posted better-than-expected trading results, making it unlikely that the firm missed out on elevated activity.
Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.
Nurphoto | Nurphoto | Getty Images
BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.
Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.
The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.
“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.
Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.
Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.
Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.
When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.
Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.
Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.
His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.
“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.
Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.
That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.
Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.
Check out the companies making headlines in midday trading: UnitedHealth — Shares plunged 7.2% after the health-care giant lowered its earnings guidance due to ongoing headwinds from a cyberattack earlier in the year. UnitedHealth cut the top end of its full-year earnings forecast, which is now $27.50 to $27.75 per share, compared to previous guidance of $27.50 to $28.00 per share. UnitedHealth still reported a top- and bottom-line beat in the third quarter. Walgreens Boots Alliance — The stock soared 11.9% following the drugstore chain’s fiscal fourth-quarter earnings and revenue beat. Walgreens also plans to close about 1,200 stores over the next three years, which will be “immediately accretive” to its adjusted earnings and cash flow, the company said. ASML — Shares dropped more than 16% after the Dutch semiconductor equipment maker released its earnings report early and offered a weaker-than-expected sales outlook for 2025. The company’s CEO also warned of a “more gradual” recovery ahead. Other chip stocks fell as well, with Nvidia , Advanced Micro Devices and Broadcom last down at least 4% each. Wolfspeed — Shares popped 23% on news that the North Carolina-based chipmaker will obtain up to $750 million in U.S. government grants for its new factories in North Carolina and New York. A group of investors including Apollo and Baupost will provide an additional $750 million in funding for its more than $6 billion plan. Bank of America — The lender saw shares gain 2% after it exceeded analysts’ estimates for third-quarter profit and revenue on better-than-expected trading results. Net interest income, one of the key ways that banks make money, fell 2.9% to $14.1 billion, edging out the $14.06 billion StreetAccount estimate. Enphase Energy — Shares slid 6.8% on the back of a downgrade to sector perform from outperform by RBC Capital Markets. The firm said Enphase should grow at a slower rate than the consensus forecast pencils in. Johnson & Johnson — The health-care conglomerate gained 1.6% after posting quarterly results that exceeded expectations on the back of strong sales of oncology drugs. Johnson & Johnson reported adjusted earnings per share of $2.42 and $22.47 billion in revenue. Meanwhile, analysts surveyed by LSEG had forecast $2.21 in earnings per share on $22.16 billion in revenue. The firm also raised guidance for its 2024 profit and sales. Energy stocks — Energy stocks declined as oil prices dropped about 5% , with the sector last down more than 2%. APA was the biggest laggard, tumbling 6%. Diamondback Energy tanked 4.3%, while Occidental Petroleum , Valero Energy and Halliburton lost more than 3% each. Coty — The CoverGirl parent plunged 11% after trimming its fiscal first-quarter guidance and warning of slower growth trends in the U.S. Citigroup — Shares lost about 4% despite stronger-than-expected third-quarter earnings . The bank posted earnings per share of $1.51 on $20.32 billion in revenue. Analysts polled by LSEG had anticipated earnings of $1.31 per share on revenue of $19.48 billion. Charles Schwab — Shares of the brokerage company rallied more than 8% as third-quarter results topped analysts’ expectations. The company posted earnings of 77 cents, excluding one-time items, on $4.85 billion in revenue. PNC Financial — The Pittsburgh-based regional bank rose more than 3% on a better-than-expected earnings report. Earnings came in at $3.49, topping an LSEG estimate of $3.30 per share. The company reported $5.43 billion in revenue, topping a forecast of $5.39 billion. Boeing — Shares added about 2.1% after the aircraft manufacturer said it could raise up to $25 billion in debt and shares to increase liquidity. — CNBC’s Yun Li, Alex Harring, Hakyung Kim, Michelle Fox, Pia Singh, Sarah Min contributed reporting.