🔗 Share this article

During economic expansions, there arrive moments when market analysts question whether exuberance has become unreasonable.

Latest multi-billion dollar agreements between OpenAI and semiconductor makers Nvidia and AMD have raised concerns about the viability behind massive investments in AI technology.

Why these NVIDIA & AMD Deals Worrying for Financial Observers?

Several commentators voice apprehension regarding the reciprocal structure of such arrangements. Under the terms for NVIDIA's agreement, OpenAI will pay the chipmaker with cash for processors, while Nvidia commits to invest into OpenAI for non-controlling shares.

Prominent British tech backer James Anderson stated concern regarding parallels to vendor financing, where a business provides monetary support for a customer buying its products – a risky scenario when these buyers hold overly optimistic business projections.

Vendor financing proved to be one of the characteristics during the turn-of-the-millennium dotcom craze.

"It's not quite similar to what many telecom providers were up to in 1999-2000, but there are certain similarities to it. I'm not convinced it leaves me feel entirely comfortable from that perspective of view," commented Anderson.

The AMD deal further entangles OpenAI alongside another chip maker in addition to NVIDIA. Through this agreement, OpenAI plans to utilize hundreds of thousands of AMD chips in its data centers – the central nervous systems of AI tools including ChatGPT – and gaining the option to buy 10% of AMD.

All of this is being driven through the thirst of OpenAI as well as competitors for as much processing capacity available to push AI systems to increasingly significant performance advancements – as well as to satisfy growing user needs.

Neil Wilson, UK investor strategist at financial firm Saxo, stated how transactions such as the NVIDIA & OpenAI all suggested circumstances that "appears, feels and sounds like a bubble."

Which Represent the Other Signs Pointing to a Bubble?

Anderson flagged soaring valuations at prominent AI firms as another cause of concern. OpenAI currently valued at $500 billion (£372bn), versus $157bn last October, while Anthropic almost tripled its valuation lately, going from $60bn this past March up to $170 billion last month.

Anderson stated how the magnitude of the value increases "concerned him." According to accounts, OpenAI reportedly recorded revenue of $4.3bn in the initial six months of the current year, alongside operational losses of $7.8 billion, according to technology publication The Information.

Recent stock value swings have also alarmed seasoned financial observers. As an example, AMD briefly added $80 billion to its market cap throughout stock market activity this past Monday following OpenAI's news, whereas Oracle – one profiting due to need for AI support systems like datacentres – gained about $250 billion in one day last month after announcing better than expected earnings.

Additionally, there exists an enormous investment spending surge, meaning spending for non-staff costs including buildings as well as hardware. The big four AI "large-scale operators" – Facebook parent Meta, Alphabet's parent Alphabet, Microsoft and Amazon – are projected to invest $325 billion in capital expenditures this year, roughly the GDP belonging to Portugal.

Is Artificial Intelligence Implementation Warranting Market Enthusiasm?

Confidence in artificial intelligence expansion was rattled in August when MIT published a study indicating how ninety-five percent of companies are getting zero benefit on their investments in generative AI. Their report said the problem was not the quality of the models rather how they're implemented.

It said this represented an obvious manifestation of a "AI adoption gap", with startups headed by young entrepreneurs noting a jump in revenues through deploying AI tools.

The report coincided with a substantial fall in AI infrastructure stocks including Nvidia as well as Oracle. It came two months after McKinsey & Company, the advisory group, reported how eight out of 10 companies state they using genAI, however an identical percentage indicate minimal impact upon their profitability.

McKinsey explained this occurs since AI tools are being used toward broad purposes such as producing conference summaries rather than targeted purposes including highlighting problematic vendors and generating concepts.

All here unnerves backers because an important commitment by AI companies such as Google, OpenAI & Microsoft remains how if organizations purchase their products, they will enhance efficiency – an indicator of economic efficiency – through enabling a single worker produce much more economically valuable work during an average business day.

Nevertheless, we see other obvious indications pointing to a widespread adoption of AI. This week, OpenAI stated how ChatGPT currently accessed by 800 million users a week, rising from the figure at 500 million cited by OpenAI in March. Sam Altman, OpenAI’s CEO, firmly maintains that interest for premium services for AI is going to persist in "sharply rise."

What Does the Bigger Picture Reveal?

Adrian Cox, an investment strategist at the Deutsche Bank Research Institute, says the current situation seem as if "we are at a pivotal point where signals are flashing different colours."

The red lights, he says, are enormous capital expenditure wherein "existing versions of chips might become outdated before spending pays off" and rapidly increasing market caps for privately-held firms like OpenAI.

The amber signals are over double of the share prices of the "top seven" US tech stocks. This is offset through their P/E ratios – an assessment determining if a stock is under- or overvalued – which are under historical levels