Perplexity AI in final stages of raising $500 million round at $9 billion valuation
Perplexity AI logo is seen in this illustration taken January 4, 2024.
Dado Ruvic | Reuters
Perplexity AI, the artificial-intelligence search engine startup, is in the final stages of raising $500 million in funding at a $9 billion valuation, a source familiar with the situation told CNBC.
The startup competes against the likes of Google and ChatGPT-maker OpenAI. Perplexity most recent valuation was $3 billion in June. Institutional Venture Partners, a Bay Area-based firm, is leading the new round, according to the source, who requested anonymity since the funding is not yet public.
Perplexity started the year with a roughly $500 million valuation. Since then, the company has continued to attract investor interest amid the generative AI boom, raising four funding rounds so far this year.
Last week, OpenAI launched a search feature within ChatGPT, its viral chatbot, that positioned it to better compete with Perplexity, as well as leading search engines like Google and Microsoft‘s Bing. OpenAI’s search feature offers up-to-the-minute sports scores, stock quotes, news, weather and more, powered by real-time web search and partnerships with news and data providers, according to the company.
Despite the AI boom, Perplexity has been embroiled in controversy due to accusations of plagiarizing content from media outlets. The New York Times last month sent Perplexity a “cease and desist” notice, claiming that the startup scrapes the news outlet’s content to generate answers. Perplexity has denied the allegations.
In July, Perplexity debuted a revenue-sharing model for publishers. Any time a user asks a question and Perplexity generates ad revenue from citing an article in its answer, Perplexity will share a percentage of that revenue with the publisher, the company said.
Media outlets and content platforms including Fortune, Time, Entrepreneur, The Texas Tribune, Der Spiegel and WordPress were among the first to join the company’s “Publishers Program.” Dmitry Shevelenko, Perplexity’s chief business officer, told CNBC in a July interview that if three articles from one publisher were used in one answer, the partner would receive “triple the revenue share.” Perplexity worked on its revenue-sharing model since January, and the company’s goal is to have 30 publishers enrolled by the end of the year, Shevelenko said.
Perplexity’s app has been downloaded more than 2 million times, and it answers more than 230 million queries a month, the company said in August. U.S. queries have increased eightfold in the past year, according to a pitch deck for potential advertisers that was viewed by CNBC.
The Wall Street Journal was first to report on the new funding round.
WATCH: Perplexity unveils AI election hub: Here’s what you need to know
Technology
Blip, dip, pullback or the beginning of the end? Global investors weigh in on stock sell-off
Global investor sentiment for artificial intelligence remains buoyant, despite on the ongoing stock sell-off.
European and Asia markets have seen days of consecutive losses, tracking their U.S. counterparts lower as pressures mount on AI-related stocks and their valuations. The pan-European Stoxx 600 on Tuesday notched its lowest level in a month, with major bourses opening mixed on Wednesday, while Asia-Pacific markets fell.
Stateside, stock futures were little changed overnight after major U.S. indexes extended their losses. AI-related stocks such as Nvidia, Palantir, and Microsoft are among those feeling the pressure.
“We do think this is an AI specific pullback. We don’t think this is the beginning of the bear market,” Emma Wall, head of investment analysis at Hargreaves Lansdown, told CNBC’s “Squawk Box Europe.”
When considering whether this is the “beginning of the end” or a moment marking “the big pullback,” Wall argued that while we are overdue a “major global market correction,” the current downturn is yet to bring this shift.
Many markets outside of the U.S. — particularly in Europe and the U.K. — already reflect much of the negative news, she said, adding that she sees the pressure as sector specific.
It is, however, an opportunity to rebalance portfolios, as “even taking into consideration this week, most people have had a really good run, even in AI stocks,” Wall said.
Mike Wilson, chief U.S. equity strategist and chief investment officer at Morgan Stanley, echoed this sentiment. He said markets have been in a correction for the past six weeks but “it’s not the end of the AI cycle.”
All eyes are on Nvidia, considered the bellwether of AI, as it’s due to post third-quarter earnings after the closing bell on Wednesday.
“Whatever happens tonight is, if it is a blip, is a pullback, it’s probably a dip to be bought. But I think we are in the midst of somewhat of a correction right now,” Wilson told CNBC’s “Inside India,” adding that he thinks it’s the middle-inning.
“The credit part of this spending is just beginning, meaning we’re just starting to raise money in the credit markets. It’s not like that money is going to sit there and they’re not going to spend it, which means there’s probably time on the clock with these intermittent kind of pullbacks,” he added.
Companies and investors are engaged in a delicate dance.
On one side, AI labs and their partners are making big promises and aggressive plays, according to Jason Thomas, head of global research and investment strategy at Carlyle. “But it’s not incumbent upon investors to believe them,” he told CNBC’s Julianna Tatelbaum, from the firm’s annual conference.
“Investors, of course, have to ensure that they are getting compensated for the risk that things don’t work out quite as planned, and I think that there’s a sense that perhaps there’s been some assets in the space that have been priced to best case scenarios. So I think that that’s the reassessment that’s going on right now,” he said.
Hyperscalers’ rising capex
The sell-off comes as the pace of debt dealmaking picks up, fueling speculation that it may have unsettled investors, many of whom have remained bullish on AI as long as companies post sound earnings. Google-owner Alphabet and Meta have issued bonds, for example.
“It’s not a problem, as long as the funding markets are there, meaning they’re raising the debt,” Wilson added. “I mean, there’s investors lined up,” he said.
It does however, become a problem when this is no longer the case, but “we haven’t seen that yet,” he said.
AI has fundamentally changed the strategy for many Big Tech firms, particularly when it comes to U.S. hyperscalers, which have morphed into capex-heavy companies from once asset-light businesses. Global investors are now assessing this new dynamic. Bank of America‘s latest Global Fund Managers Survey found that, for the first time in two decades, fund managers are concerned about hyperscalers “overinvesting.“
“[Hyperscalers] traded at very high price-to-book ratios, which made a lot of sense. You don’t value a money-printing machine based on the cost of the paper or based on the cost of the printing press. And that’s essentially what they were, these massive money printing machines where most of their assets were intangible, proprietary technology, the digital platforms,” said Carlyle’s Thomas.
“Now they’ve actually started to invest so much that 70% of their cash flow is being consumed by capital spending and, if you look at their book value now, 70% actually consists of property, plant and equipment, largely data centers. That’s a four-fold increase from a decade ago,” he added.
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