All Content from Business Insider 10月29日 14:37
AI热潮中的“实验性收入”警示
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Sequoia Capital合伙人Alfred Lin指出,当前AI行业的蓬勃发展可能依赖于“实验性收入”,这部分收入并非长期稳定。他解释说,一些初创公司将短期试点项目收入按年化计算,并将其视为经常性收入,这可能存在误导。Lin强调,投资者应关注收入的质量而非仅仅是增长速度,并建议深入考察客户留存率和公司整体运营速度,而非仅仅依赖收入增长来评估初创公司的价值。他认为,真正的优秀公司需要时间积累,并呼吁理性看待AI市场的估值和增长潜力,避免重蹈互联网泡沫覆辙。

💡 **警惕“实验性收入”的误导性**:Sequoia合伙人Alfred Lin指出,AI初创公司当前增长可能依赖于短期试点项目产生的“实验性收入”,而非可持续的经常性收入。部分公司将试运行收入按年化计算,以此夸大增长,这可能掩盖了实际的收入质量和稳定性问题。

📊 **重视收入质量而非数量**:Lin强调,投资者应优先关注收入的质量,即客户的实际留存和长期承诺,而非被快速增长但缺乏根基的收入所迷惑。他更倾向于选择增长缓慢但质量高的收入,而非增长迅猛但质量堪忧的收入。

🚀 **评估公司价值需多维度考量**:除了收入增长,评估AI初创公司的真正价值还需关注其“内在指标”和“公司速度”。真正的优秀公司往往需要时间来构建,其成功并非仅由短期收入增长所决定,而是由其整体运营效率和长期发展潜力所体现。

📉 **理性看待AI市场估值**:在AI热潮下,部分初创公司估值飙升,存在泡沫风险。Lin的观点呼应了部分行业人士对AI市场可能过热的担忧,提醒投资者和创业者保持审慎,避免盲目追求高估值,警惕重演互联网泡沫破裂的悲剧。

Sequoia partner Alfred Lin says the AI boom could be fueled by "experimental revenue" that might not last.

While AI startups are riding a wave of record valuations, a Sequoia Capital partner said investors should examine the numbers more closely.

Alfred Lin, a partner at Sequoia Capital, said on an episode of the "Sourcery" podcast published Monday that the AI boom has produced a surge of what he calls "experimental revenue" — short-term deals and pilot programs that help startups fund research but might not last.

"People are willing to experiment because they don't want to be left behind in AI," he said.

"That's good and bad. It's great for founders, they get to finance some of their R&D with revenue. It's bad because it's pilot revenue. It may go away," he added.

Lin, who has backed companies like DoorDash and Airbnb, said some startups are annualizing that pilot revenue and calling it recurring revenue.

"A lot of founders know it's a joke, but they don't have any problems just taking whatever month's revenue is, that's all pilot revenue, and multiplying by 12," he said.

Revenue quality matters, like whether customers stick around after the pilot. "Retention is so important," Lin said.

"I prefer to have slower growth quality revenue than fast growth non-quality revenue," he added.

Lin also said revenue may not be the best proof of traction for a startup.

"You have to look at the underlying metrics," he said, adding that some of the best companies took time to build before they hit significant revenue growth.

"The measurement should be about the velocity of the company, not just revenue growth."

Lin did not respond to a request for comment from Business Insider.

AI gold rush

Lin's comments come amid growing debate over whether the AI boom could end like the dot-com crash.

AI startups have been raising record amounts of money and soaring in valuations. Replit, which builds tools to let users code apps and websites with AI, expects to top $1 billion in revenue by next year, its CEO and founder, Amjad Masad, told Business Insider last week. That's about four times its current annual sales of $240 million.

Several investors have warned that the AI market might be overheating and that the market is at risk of going the way of the dot-com bubble burst.

Tech guru Erik Gordon told Business Insider in August that the AI bubble could dwarf the dot-com collapse because of its greater scale.

Gordon, an entrepreneurship professor researching financial markets and technology at the University of Michigan's Ross School of Business, said in 2022 that AI is an "order-of-magnitude overvaluation bubble."

OpenAI CEO Sam Altman said in August that it's "insane" and "not rational" that some tiny AI startups are getting funding at high valuations.

Others disagree. "Shark Tank" investor Kevin O'Leary told Business Insider last month that the AI market isn't headed for a dot-com-style meltdown.

AI wasn't "the same hype that the internet bubble was, because today, you actually can see the productivity and measure it on a dollar-by-dollar basis," he said.

Read the original article on Business Insider

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