As AI startups and their valuations mushroom, some venture investors are choosing to keep their powder dry
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AI is emerging as an outlier and beacon of hope in venture capital, even as overall funding dries up.
Consider some recent examples: AI-powered wearable devices company Humane , backed by investors including OpenAI chief Sam Altman; AI voice startup Eleven Labs; generative AI startup Cohere ; and AI-powered chatbot startup Character.AI . Each has raised money within the past few months.
But even as some investors charge ahead to capitalize on the AI gold rush, others are holding back due to the sheer speed and scale with which the industry is progressing – throwing all conventions out the window , The Wall Street Journal reported this week.
“I have no idea how to play AI right now – I see what seems like the coolest generative AI tool ever. Then, a week later, I see another tool that blows that away,” wrote Francis Santora , an angel investor and venture partner at Seedscout . “So for now, I’m sitting back and watching how AI evolves.”
A mad dash
Santora is part of a growing chorus of investors cautioning against what they say has become a freewheeling ecosystem – with new startups cropping up every day, and investors competing to back them.
Since the launch of ChatGPT in November, a cottage industry of AI startups has mushroomed and defied the broader slump in tech. The generative AI space is particularly hot. Not a week – or rather day – goes by without someone unveiling a “generative” artificial intelligence startup tackling everything from healthcare imagery to translation. It harks back to the days when every other startup was trying to build “the Uber of X.”
“It’s really hard to deploy capital in an environment like that,” Santora told LinkedIn News. “I could make an investment today, and it could be obsolete by next week.”
Additionally, the competition to back them has become so intense that venture firms are even willing to put their money behind companies without so much as a business plan, the Journal noted, which was echoed by the investors LinkedIn News spoke with.
That, in turn, is causing valuations to skyrocket. Startups raising seed rounds are pushing for valuations of tens of millions of dollars. Some companies are raising back-to-back rounds of funding.
For example, LangChain , an open-sourced library for software developer tools with no revenue, recently closed a $10 million round at a $50 million valuation, the Journal reported. A few weeks later, Sequoia Capital injected more funding and quadrupled the valuation to around $200 million.
“Making a bet on incredible founders at $10 million, $25 million, or maybe even $50 million valuation can work,” said Santora. “But when the numbers stretch into the nine figures, it’s very hard to make money.”
It’s harder for AI startups to stand out and compete
Many, including Bill Gates, the co-founder of LinkedIn parent Microsoft , have compared the advent of AI to the rise of the personal computer, the mobile phone, and cloud computing in terms of how disruptive it is as a technology.
But while startups were able to ride those waves, the same cannot be said for certain with AI.
“The companies that figured out Google SEO got a lot of traffic, the companies that figured out rankings on the App Store had a six-to-18 month advantage to get new users to compete with the incumbents,” said Tomasz Tunguz , general partner at Theory Ventures .?
He continued: “AI is not that way, because startups actually have negative time to launch. Microsoft, Google and all the big companies have adopted AI technologies faster than a lot of startups. So they're actually behind.”
These startups are also at risk of eventually being crushed by Big Tech, said Pegah Ebrahimi , co-founder and managing partner at FPV Ventures .
“This wave of AI is exciting and moving way faster than the mobile wave – you have a lot of focus on the application layer since folks are excited about use cases,” she said. “The main question is will a large company want to use them once they are running their own AI using the same underlying easy-to-embed technologies the AI startups are using.”
For Tunguz, another challenge for AI startups is that there's no net new distribution opportunity. They can add AI features to their products, but there isn’t an ecosystem like mobile app stores that guarantees they can get more users.
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“You could have an AI feature, but that's not enough to differentiate, it's not enough to grow,” he said. “It's a necessary but insufficient addition to your roadmap. What is the distribution advantage? It's completely unclear.”
While investors said they were bullish on AI overall, they would hang up their boots in the interim until these issues are ironed out.
“I think AI will change the world,” said Santora. “But as an investor, I’m going to be patient.”
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CMO, Creator, Consultant, Catalyst for Connection & Community. (Also: Pioneer, Pragmatist & Provocateur.)
1 年In the context of A.I. tools and development, we need to start getting more specific in how we use that term: A.I.. With an increasing variety of technologies, applications, and models, I think of the target audience and benefit first. For generative imagery, LLMs, coding, etc, different considerations apply. As a marketer, I use a framework that asks how this specific technology helps developers, then brands, then the end consumer. We're not talking to everyone all the time here...
ITSM/ITIL | Innovator | Enterprise Solutions & Services Sales | Cloud Strategist & Architect | Analytics & ML/AI | ServiceNow Implementation | Ex-Accenture | Ex-VMWare | Ex-HP/HPE | Ex-Oracle
1 年Clutching their pearls. Oh well.
Management Consultant | Technology Innovator | Data Privacy Expert
1 年I am certainly not a Luddite. Yet count me among those worried that AI is potentially a dangerous technology. I truly believe that AI may be more detrimental to humanity than nuclear weapons. After all, nuclear weapons only kill a whole lot of people; AI can potentially end us!
always learning ?? forbes 30 under 30 ??cofounder @ joincolab.io
1 年Is AI the tech industry's new shiny toy? From cryptocurrencies, to NFTs, then Metaverses - it's easy to dismiss it as the next hype. But I honestly think that the hype is warranted. Right at this moment, jobs are being replaced by AI and that's a tangible indicator of permanent change. It may not be the Orwellian setting a lot of people try to paint it like, but it will come in some shape or form.