Throughout economic booms, there arrive moments where financial commentators wonder if exuberance has become excessive.
Latest multibillion-dollar deals involving OpenAI with chip makers NVIDIA and AMD have raised concerns regarding the viability of substantial investments in AI technology.
Several analysts voice apprehension about the circular nature of these deals. According to the conditions for the Nvidia transaction, OpenAI agrees to pay Nvidia in cash for processors, while Nvidia commits to invest in OpenAI for minority shares.
Prominent UK tech investor James Anderson expressed unease regarding similarities with supplier funding, where a business offers financial support for a customer purchasing their goods – a precarious situation if those buyers maintain excessively positive revenue projections.
Vendor financing proved to be among the characteristics of that turn-of-the-millennium dot-com craze.
"It's not exactly similar to the practices numerous telecommunications providers engaged in during 1999-2000, but it has some similarities to it. I'm not convinced it leaves me feeling completely comfortable in that perspective of view," remarked Anderson.
Meanwhile, the AMD deal also entangles OpenAI with a second semiconductor manufacturer alongside Nvidia. Under this agreement, OpenAI plans to utilize hundreds of thousands of AMD chips within their datacentres – the central nervous systems of artificial intelligence systems such as ChatGPT – and gaining an opportunity to buy ten percent of AMD.
Everything of this is being driven by the insatiable demand of OpenAI as well as competitors for as much computing power as possible to drive their models toward increasingly significant performance breakthroughs – as well as to satisfy growing user needs.
Neil Wilson, British investor analyst with investment bank Saxo, remarked how deals like those between NVIDIA & OpenAI collectively suggested a situation which "looks, smells and sounds like an economic bubble."
Anderson flagged soaring valuations among prominent AI firms as another cause of concern. OpenAI is now valued at $500bn (£372 billion), compared with $157bn last October, while Anthropic almost tripled its valuation lately, going from $60bn this past March to $170bn the previous month.
Anderson stated that the magnitude of the value increases "did bother me." Reports indicate, OpenAI reportedly recorded revenue of $4.3 billion in the first half of the current year, alongside operational losses totaling $7.8 billion, as reported by tech news site The Information.
Latest stock value swings have also alarmed experienced market observers. For instance, AMD briefly added $80 billion to its market cap throughout equity trading this past Monday following OpenAI's announcement, whereas Oracle – a beneficiary due to need for AI infrastructure such as datacentres – gained approximately $250 billion in a single day last month after announcing stronger than anticipated results.
There is also an enormous capital expenditure surge, which refers to expenditure on non-staff expenses such as buildings as well as equipment. The big four AI "hyperscalers" – Facebook owner Meta, Google owner Alphabet, Microsoft and Amazon – are expected to invest $325 billion in capital expenditures in the current year, roughly the economic output belonging to Portugal.
Faith toward artificial intelligence expansion suffered a setback in August after the Massachusetts Institute of Technology published research showing that ninety-five percent of companies receive no return on money spent in AI generation tools. The study said the problem lay not in the capabilities of AI systems but how they were used.
The report indicated this represented an obvious manifestation of a "AI adoption gap", with new ventures headed by 19- or 20-year-olds reporting a jump in revenues from deploying AI technologies.
The report coincided with a heavy decline in AI infrastructure shares such as NVIDIA and Oracle. This happened two months after consulting firm McKinsey, the advisory group, reported that eight out of 10 businesses report using generative AI, but an identical proportion indicate no significant impact upon their profitability.
McKinsey explained this occurs because AI systems are being used for broad purposes like creating meeting minutes and not targeted uses such as highlighting risky suppliers and producing ideas.
All here worries investors because an important promise by AI firms such as Google, OpenAI & Microsoft is how if you buy their tools, these will improve efficiency – a measure for business efficiency – through enabling an individual employee accomplish significantly greater profitable work in an average working day.
Nevertheless, there are other clear signs pointing to a widespread embrace of AI. This week, OpenAI stated that ChatGPT is now used by 800 million users weekly, up from the number at 500 million cited by OpenAI last March. Sam Altman, OpenAI’s CEO, strongly maintains that interest in premium access to AI will continue to "sharply increase."
Adrian Cox, a thematic strategist at Deutsche Bank's research division, says the current situation feels like "we're at a pivotal point where the lights are flashing varying colours."
The red lights, he says, include massive capital expenditure where "the current generation of chips could be obsolete prior to the investment pays off" and rapidly increasing market caps for privately-held firms like OpenAI.
The amber signals are a more than doubling of the share prices belonging to the "top seven" US tech companies. This is offset through their price to earnings ratios – an assessment determining if a stock is under- or overvalued – that remain under past averages