The query that once again appears to be polarizing the tech community: Are we living in a bubble?
Bubbles occur when the market becomes irrationally optimistic, causing the price of an asset to deviate from its fundamental value. The critical moment is the creation of a recursive loop where price increases create FOMO, which attracts more capital, which further accelerates price increases. The final result is an increasingly unstable house of cards.
Investments in AI differ from this historical pattern in two foremost respects:
First, unlike previous bubbles (e.g. dotcoms), the underlying corporations generate significant revenues, which indicates real fundamental value. However, questions have been raised about how much of this income is fair recirculated capitalthe growth is undeniable.
Secondly, these are private corporations that investors do not have quick access to, and the largest names are selective about who is included in their capitalization table. Typically, bubbles occur in more liquid public markets, where sentiment could cause extreme swings in buying and selling activity.
Price and value
Final query: How far does price differ from value?
To be clear, valuation is an opinion about the future, while valuation reflects the current fundraising market, so it is largely subjective. One investor may imagine that entry-level models are the way forward for our engagement with technology, while one other may simply see them as an evolution of SaaS. Both are valid, and the speculative nature of VC means there should all the time be a range of perspectives.
However, enterprise capital is also influenced by herd behavior, and capital inflows are influenced by easy opportunity narratives. Research shows that when investors focus on a particular sector, it tends to drive up prices without ensuring higher future performance. This appears to overlap with enterprise capital activity in the field of artificial intelligence, as investors increasingly complain about the conditions they face in competitive deals.
So there’s definitely some discomfort in the market. There is significant enthusiasm for AI, real optimism about the future, but also concern about how the transaction works. Investors are pouring huge amounts into the way forward for artificial intelligence, too afraid to do so error of omission.
Risk bubble
The best approach to consider could also be a similar approach to Bill Gurleyapproach to Venture market in 2015which suggests it is a risk bubble, not a valuation bubble:
“All of this means that we are not in a valuation bubble as the mainstream media seems to think. We are in a risk bubble. Companies are taking huge returns to justify spending the capital they raise in these massive funds, putting their long-term viability in jeopardy. Late-stage investors, desperate for fear of missing out on the opportunity to accumulate shares in eventual unicorn corporations, they have essentially abandoned their traditional risk evaluation. Traditional early-stage investors, institutional public investors and anyone with extra tens of millions are jumping into the high-stakes late-stage game.
In conclusion, it does not seem appropriate to characterize AI as a bubble in the traditional sense. Instead, enterprise capitalists have chosen enormous systematic risk (undiversifiable reliance on AI) over mere idiosyncratic risk (diversifiable across sectors) – which threatens performance if the future does not match today’s optimistic enthusiasm.
The bear case is likely not a total flop like 2000, but a mini-correction more like 2022. While portfolios won’t be worn out, capital will once again be locked up in overcapitalized private market giants for longer than is comfortable for everyone involved.