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

During financial booms, there come points where market analysts question if exuberance has become unreasonable.

Recent multi-billion dollar deals involving OpenAI with semiconductor manufacturers Nvidia along with AMD have raised concerns about the sustainability of substantial investments in AI technology.

What Makes the NVIDIA & AMD Deals Worrying for Market Watchers?

Several commentators voice concern regarding the circular nature in these arrangements. Under the conditions of NVIDIA's transaction, OpenAI will pay Nvidia in cash for chips, while Nvidia commits to invest into OpenAI for non-controlling shares.

Leading UK tech investor James Anderson expressed concern regarding parallels to vendor financing, wherein a company provides monetary assistance for clients purchasing its products – a precarious scenario when these buyers hold overly optimistic revenue forecasts.

Vendor financing proved to be one of the hallmarks during the turn-of-the-millennium dot-com bubble.

"It's not exactly similar to what many telecommunications suppliers were up to in 1999-2000, yet there are certain rhymes to it. I don't think it leaves me feel entirely at ease from that point of view," remarked Anderson.

The AMD arrangement further entangles OpenAI with another semiconductor manufacturer alongside Nvidia. Through the agreement, OpenAI will use hundreds of thousands of AMD processors within its datacentres – the core infrastructure powering AI tools including ChatGPT – and gaining the option to purchase ten percent of AMD.

All here is being driven through the thirst of OpenAI and its peers to secure the maximum computing power as possible to push their models toward ever greater performance advancements – in addition to satisfy growing market needs.

Neil Wilson, UK market strategist at investment bank Saxo, stated that deals like the NVIDIA and OpenAI collectively pointed to circumstances which "looks, smells and talks like a bubble."

Which Are the Other Signs Pointing to a Bubble?

Anderson flagged skyrocketing market values among leading AI companies to be another source of concern. OpenAI currently worth $500 billion (Β£372bn), versus $157 billion last October, while Anthropic nearly tripled its valuation recently, rising from $60bn this past March to $170bn last month.

Anderson commented that the magnitude behind these valuation surges "did bother me." Reports indicate, OpenAI reportedly posted sales of $4.3bn during the first half of the current year, alongside operational losses of $7.8 billion, according to technology publication The Information.

Latest share price swings have also alarmed experienced financial observers. As an example, AMD temporarily added $80bn in valuation during stock market activity on Monday after OpenAI's announcement, whereas Oracle – a beneficiary due to demand toward AI infrastructure such as datacentres – added approximately $250 billion in one day in September following reporting better than expected results.

There is also an enormous capital expenditure surge, which refers to spending on non-personnel expenses such as facilities and equipment. The major quartet artificial intelligence "large-scale operators" – Meta's parent Meta, Google parent Alphabet, Microsoft and Amazon – are expected to invest $325 billion on capex in the current year, approximately the economic output belonging to Portugal.

Does AI Adoption Warranting Market Enthusiasm?

Faith toward the AI boom suffered a setback in August after the Massachusetts Institute of Technology published research showing that ninety-five percent of organizations are getting zero benefit from money spent in AI generation tools. The study said the problem was not the quality of the models rather how they're implemented.

The report indicated this represented a clear example of a "AI adoption gap", with new ventures headed by 19- or 20-year-olds noting a jump in income through deploying AI technologies.

The report coincided with a substantial fall in AI support shares including NVIDIA as well as Oracle. It came two months after consulting firm McKinsey, the consulting firm, said how four out of five companies state they utilize generative AI, however an identical proportion report minimal impact on their profitability.

McKinsey explained this occurs because AI tools are utilized for general purposes like producing conference summaries and not specific uses such as highlighting risky suppliers and generating concepts.

All here unnerves investors because a key commitment from AI firms such as Alphabet, OpenAI & Microsoft remains how if organizations purchase their tools, they will enhance productivity – a measure of economic performance – by helping an individual worker produce much more economically valuable output in a typical working day.

However, there are additional clear signs of broad adoption of AI. This week, OpenAI stated that ChatGPT currently accessed among 800 million users a week, rising from the number of 500 million cited by the company in March. Sam Altman, OpenAI’s chief executive, firmly maintains how interest for premium services for AI will persist in "sharply rise."

What Does the Overall Situation Show?

Adrian Cox, a thematic strategist with Deutsche Bank's research division, says present circumstances feels like "we're at a crossroads where signals show varying colors."

The red lights, he notes, are enormous investment spending where "existing versions of processors could be outdated before spending pays off" and rapidly increasing valuations of privately-held firms like OpenAI.

The amber signals are over double of the stock values of the "magnificent seven" US tech stocks. This is offset through their P/E ratios – an assessment of whether a stock stands fairly priced or not – which are below past averages

Kristin Carroll
Kristin Carroll

A seasoned IT consultant with over 10 years of experience in cybersecurity and cloud computing, passionate about sharing knowledge.