Do OpenAI's Multi-Billion Dollar Deals Indicating That Investor Exuberance Has Gotten Out of Control?

Throughout financial expansions, there arrive moments where market commentators question whether exuberance has become excessive.

Latest multibillion-dollar deals between OpenAI with chip makers NVIDIA along with AMD have sparked questions about the sustainability of massive funding toward AI technology.

Why the Nvidia and AMD Agreements Concerning for Market Watchers?

Several commentators express concern about the reciprocal nature in these arrangements. Under the terms of the Nvidia transaction, OpenAI agrees to pay the chipmaker in cash for processors, while Nvidia commits to invest in OpenAI in exchange for non-controlling stakes.

Leading British technology investor James Anderson expressed concern regarding similarities to vendor financing, where a business provides financial support for a customer buying its products – a risky scenario when those customers hold overly optimistic business forecasts.

Supplier funding was among the hallmarks during the late 1990s dotcom craze.

"It is not exactly like what numerous telecom providers were up to in 1999-2000, but there are some similarities to that period. I don't think it leaves me feel entirely at ease from that perspective regarding this," commented Anderson.

The AMD deal further enmeshes OpenAI alongside another chip maker alongside NVIDIA. Through this deal, OpenAI plans to utilize hundreds of thousands of AMD processors within their data centers – the central nervous systems of AI tools including ChatGPT – while will have an opportunity to buy ten percent of AMD.

Everything here is being driven by the insatiable demand from OpenAI as well as competitors for the maximum computing power available to drive their models toward ever greater performance advancements – in addition to meet growing market needs.

Neil Wilson, British investor analyst at financial firm Saxo, stated that transactions such as the Nvidia and OpenAI collectively pointed to circumstances which "looks, feels and talks like an economic bubble."

Which Represent Additional Indicators of Market Exuberance?

Anderson highlighted skyrocketing valuations at leading AI companies as a further source of concern. OpenAI is now worth $500 billion (Β£372 billion), compared with $157 billion last October, whereas Anthropic almost trebled its valuation recently, going from $60bn this past March to $170 billion the previous month.

Anderson commented that the magnitude behind these valuation surges "did bother him." Reports indicate, OpenAI supposedly posted revenue amounting to $4.3 billion in the first half of the current year, alongside an operating loss of $7.8 billion, as reported by tech news site The Information.

Latest share price swings have also jolted experienced market observers. As an example, AMD temporarily added $80 billion to its market cap throughout stock market trading on Monday following the OpenAI announcement, while Oracle – a beneficiary from need toward AI infrastructure like data centers – gained about $250 billion over a single day in September after reporting better than expected results.

There is also an enormous investment spending boom, which refers to expenditure for non-personnel costs including buildings and equipment. The big four AI "large-scale operators" – Facebook parent Meta, Alphabet's owner Alphabet, Microsoft together with Amazon – are projected to invest $325bn on capex in the current year, roughly the GDP of Portugal.

Does Artificial Intelligence Implementation Warranting Investor Excitement?

Faith toward artificial intelligence expansion suffered a setback this past August after the Massachusetts Institute of Technology released research indicating how 95% of organizations receive zero return from their investments toward generative AI. The study stated the issue lay not in the quality of AI systems rather the manner in they were used.

The report indicated this was an obvious example of a "AI adoption gap", where new ventures led by 19- or 20-year-olds reporting significant increases in income from deploying AI technologies.

These findings occurred alongside a heavy fall among AI support shares such as Nvidia and Oracle. This happened 60 days after consulting firm McKinsey, the consulting firm, said how four out of five companies report using genAI, but an identical percentage report no significant effect upon their profitability.

McKinsey said this occurs since AI systems are utilized for general purposes such as producing conference summaries rather than targeted uses including highlighting risky vendors and producing ideas.

All here worries backers because a key promise by AI companies such as Alphabet, OpenAI & Microsoft is that when you buy their products, these will improve productivity – a measure of business performance – through enabling an individual worker accomplish much more profitable work in a typical business day.

However, we see other obvious signs of broad adoption toward AI. This week, OpenAI stated how ChatGPT is now accessed by 800 million users a week, rising from the number of 500 million cited by the company in March. Sam Altman, OpenAI’s CEO, firmly maintains that interest in paid-for services to AI is going to continue to "steeply rise."

What Does the Bigger Picture Show?

Adrian Cox, an investment strategist with Deutsche Bank's research division, says present circumstances seem as if "we are at a pivotal point when signals show varying colours."

The red lights, he says, include massive investment spending wherein "existing versions of processors might become obsolete before the investment yields returns" together with rapidly increasing valuations of private companies such as OpenAI.

The amber signals are a more than doubling in stock values of the "magnificent seven" US technology stocks. This is offset through their P/E ratios – a measure of whether a stock stands fairly priced or not – which are below past averages

Curtis Meyer
Curtis Meyer

A passionate writer and digital strategist with over a decade of experience in creating engaging content for niche audiences.