🔗 Share this article

Throughout economic expansions, there come points when financial analysts wonder whether exuberance has grown excessive.

Recent multibillion-dollar agreements between OpenAI and chip manufacturers NVIDIA and AMD have raised concerns about the sustainability of massive investments in AI technology.

Why these Nvidia and AMD Deals Concerning for Financial Observers?

Several analysts voice concern about the circular nature in these arrangements. According to the conditions of the Nvidia agreement, OpenAI agrees to pay Nvidia with cash for chips, and Nvidia commits to invest in OpenAI in exchange for non-controlling shares.

Leading British technology backer James Anderson expressed concern about parallels with supplier funding, where a business provides monetary support to clients purchasing its products – a precarious scenario when these customers maintain overly optimistic revenue forecasts.

Vendor financing proved to be among the hallmarks of the late 1990s dotcom bubble.

"It's not exactly like what many telecommunications providers were up to in 1999-2000, yet there are some rhymes with it. I'm not convinced it leaves me feel completely at ease from that point regarding this," commented Anderson.

The Advanced Micro Devices deal also entangles OpenAI with a second chip maker in addition to Nvidia. Through this deal, OpenAI will use hundreds of thousands of AMD chips in their datacentres – the central nervous systems of AI tools including ChatGPT – while will have the option to purchase ten percent of AMD.

All of this is being driven by the insatiable demand of OpenAI and competitors for as much processing capacity available to drive their models toward increasingly significant capability breakthroughs – as well as to meet growing user needs.

Neil Wilson, UK investor analyst at financial firm Saxo, remarked how deals such as those between NVIDIA and OpenAI collectively pointed to a situation which "appears, feels and sounds like a bubble."

Which Represent Additional Signs of a Bubble?

Anderson flagged skyrocketing market values among prominent AI firms as another cause for worry. OpenAI currently valued at $500 billion (£372bn), versus $157 billion in October last year, while Anthropic almost trebled its valuation recently, going from $60 billion this past March up to $170 billion the previous month.

Anderson stated how the magnitude behind these valuation surges "did bother me." According to accounts, OpenAI supposedly posted sales amounting to $4.3 billion in the initial six months of this year, alongside an operating loss totaling $7.8 billion, according to technology news site The Information.

Latest stock value swings have also jolted experienced financial watchers. As an example, AMD briefly gained $80bn to its market cap throughout stock market activity on Monday following the OpenAI announcement, while Oracle – one profiting from need toward AI infrastructure like data centers – gained about $250bn over a single day last month following announcing stronger than anticipated results.

Additionally, there exists a huge investment spending surge, meaning expenditure on non-staff expenses including facilities and equipment. The major quartet artificial intelligence "large-scale operators" – Meta's owner Meta, Google parent Alphabet, Microsoft together with Amazon – are projected to spend $325bn on capex in the current year, approximately the economic output of Portugal.

Does Artificial Intelligence Implementation Justifying Investor Enthusiasm?

Faith in the AI expansion suffered a setback this past August when MIT published a study indicating that 95% of organizations receive no return from money spent in generative AI. The study stated the issue was not the capabilities of AI systems rather how they were used.

The report indicated this was a clear manifestation of the "AI adoption gap", with startups headed by 19- or 20-year-olds reporting a jump in revenues from deploying AI tools.

The report coincided with a heavy decline among AI support stocks including Nvidia as well as Oracle. It came two months after McKinsey & Company, the consulting firm, said how eight out of 10 businesses state they using genAI, but an identical percentage indicate minimal impact on their profitability.

McKinsey said this is because AI systems are utilized for broad purposes such as creating conference summaries and not specific uses such as highlighting problematic suppliers or producing ideas.

Everything here unnerves backers since an important commitment by AI firms such as Alphabet, OpenAI & Microsoft is that when you buy their tools, they will improve productivity – a measure of business performance – by helping a single employee accomplish significantly greater profitable output in a typical business day.

However, there are other clear signs pointing to a widespread embrace toward AI. Recently, OpenAI stated that ChatGPT currently used among 800 million users a week, up from the number of 500 million cited by OpenAI in March. Sam Altman, OpenAI’s CEO, firmly believes that demand for paid-for access for AI is going to persist in "sharply increase."

What Does the Bigger Picture Show?

Adrian Cox, an investment strategist with Deutsche Bank's research division, states present circumstances feels like "we are at a crossroads where signals show varying colors."

Warning signs, he says, include enormous investment spending wherein "the current generation of processors might become outdated before the investment pays off" together with the soaring valuations for private companies such as OpenAI.

The amber signals are over double of the share prices of the "top seven" US technology companies. This is balanced through their P/E ratios – an assessment determining if an investment is under- or overvalued – which are under historical levels