AI development costs surge beyond expectations

The cost of developing artificial intelligence is surging beyond earlier projections, with major tech firms spending vast sums on AI advancement. Global tech giants are expected to invest $765 billion in AI development this year, a figure projected to climb to nearly $1.2 trillion next year, according to Goldman Sachs data cited by CNBC.

This rapid spending is occurring even as some of these companies grapple with financial challenges. Amazon recently raised its capital expenditure forecast for the year to $220 billion and reported a negative free cash flow of $7.6 billion over the last 12 months. Meta saw a 91% drop in cash generation compared to the previous year, while Alphabet, typically highly profitable, reported negative cash flow for the first time.

The market's muted activity reflects growing doubts about the profitability of AI development, which heavily relies on borrowed funds. A key factor driving up costs is a shortage of memory chips. This scarcity stems from the insatiable demand for AI processors, which depend on memory supplied by a limited number of vendors.

Companies like Apple are particularly vulnerable to this memory shortage, as it is crucial for their consumer devices. Apple has already increased prices for its personal computers and iPads, and analysts anticipate a price hike for the iPhone later this year. This situation impacts Apple's revenue and prepares the company for potentially weaker demand due to increased product costs. Concurrently, the market value of top chip manufacturers like Micron, Samsung, and TSMC has fallen significantly, with the 20 most valuable chip companies losing a combined $1.3 trillion in market value recently.

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Simply put, it's a loss of confidence. We continue to see growth in many names in the AI space, but these are growth stocks and as such, a large part of their valuation comes from cash flows expected far into the future, which requires a lot of investor confidence.