Mark Kleinpresident and CEO of the company SuRo Capitalbelieves the AI startup market is not only frothy, but also “dangerously overheated.”
Founded in 2011, SuRo Capital Corp. based in San Francisco is a publicly traded investment fund investing in “fast-growing” private firms supported by enterprise capital.
Of course, Klein is optimistic OpenAIprovided that SuRo Capital has a position in a thriving startup, currently the most valued private company in the world. But he believes much of the remainder of the AI ecosystem – including the capital chasing it – is overstating market capitalization.
Klein believes that the undeniable fact that valuations of some tier 2 AI and related startups are tripling in months, reasonably than years, “with little fundamental change” does not bode well in the long run. That’s a speed he’s never seen in his 30 years as a VC investor.
In addition to OpenAI, SuRo was an early investor in CoreWeave and holds positions in unicorns including Huge data, Canva, Plaid AND other firms. The company saw exits including: DropboxFacebook (currently Meta), Lift, ServiceTitan, Spotify AND X.
But for now, when it involves investing in artificial intelligence, Klein is playing it protected. He holds money while waiting for a price correction. Crunchbase News interviewed Klein via email to learn his thoughts on the AI space and why he believes “OpenAI copycats and the capital chasing them” could also be causing more problems than solving them.
Would you say we live in an AI bubble?
The current AI market is significantly different from a bubble. There is real progress and value creation in AI model capabilities and infrastructure development.
At the same time, it is possible that some firms, especially from the application layer or adjoining software categories, have barely overtaken their existing foundations resulting from the great interest in this space.
There appears to be some concern that some of those firms don’t have the revenue or product to justify such high valuations. Do you think this is true?
AI is not a monolith. Valuation dynamics vary depending on where the company falls in the stack. There are three categories: Infrastructure, LLM/Models and Applications.
It is essential to differentiate between these areas. Infrastructure and some vertical applications with clearer unit economics could seem more established. Some of the initial tools could seem more extensive and may face consolidation or pricing pressure as the market develops.
What do you mean you hold money and wait for prices to enhance?
Our strategy was to take care of discipline. We see tremendous deal flow, which supplies us the ability to be selective and focus on opportunities that best fit our investment framework. We look for market-leading firms building transformational products, but we balance this with long-term shareholder value creation.
This means listening to valuations and deploying capital when the expected returns justify the risks.
Which specific AI subsectors do you think are the most overrated?
Looking at the pioneer model leaders, and OpenAI in particular, we see a company making a very significant change in one of the most revolutionary technological changes. Their progress influences investment activity on a scale greater than historic national efforts akin to the Apollo Space Program or the construction of an interstate highway.
Some of the firms making the most aggressive valuation moves, especially around fundamentals, appear in layers built on top of those fundamental models.
Many firms attract investment at this level, although it is reasonable to expect that not all will ultimately win or grow to be category leaders. As with any technology cycle, we must always expect to see real value being created with some firms lagging behind or consolidating as the market matures.