Two technology heavyweights, Alphabet (Google) and Microsoft, reported their quarterly earnings last night, triggering sharply contrasting market reactions.
While Microsoft surprised investors positively, Alphabet disappointed, reporting results below market expectations.
The reaction was significant. Microsoft shares surged more than 4% in the beginning, now only +1%, while Alphabet plunged more than 10% in after-hours and pre-market trading.
The weakness in Alphabet alone weighed heavily on technology sentiment, contributing to a decline of approximately 1% in Nasdaq futures.
These developments once again highlight just how sensitive investors have become to earnings announcements, particularly among companies at the center of the artificial intelligence investment boom.
Markets:
Equities: European markets trading higher, while US equities are under pressure, led by technology stocks
Bonds: Government bond yields trading almost unchanged - US 2y yield 4.71%, US 10y yield 5.03%, Japan 10y yield 2.84% - France 10y yield 4.92%
Commodities: Oil prices move sideways, WTI around USD 102/barrel and Brent around USD 114/barrel;
Precious metals fall, gold at USD 4’025/oz, silver below USD 53/ozCurrencies: US dollar trading sideways - Japanese Yen remains around USDJPY 158 - Swiss franc almost unchanged
Cryptos: falling - Bitcoin towards USD 80k
Volatility: The VIX index moving back above 17 - The window for relatively inexpensive portfolio hedging is still there
My View: My fundamental concerns surrounding the AI investment boom remain unchanged: extraordinary capital expenditure, increasingly stretched valuations and, most importantly, the uncertainty surrounding the monetization of these enormous investments.
The critical question is no longer simply how rapidly AI-related revenues can grow. It is whether the hundreds of billions of dollars being invested in infrastructure, data centers and computing capacity will ultimately generate sufficient returns to justify today's valuations.
But another development makes me increasingly skeptical: the continued growth financial interdependence among companies operating within the AI ecosystem.
Consider the financing arrangements emerging across the industry. Companies such as Nvidia invest in or provide financing to AI businesses and infrastructure providers, which in turn use part of that capital to purchase Nvidia's chips and computing technology.
In simple terms: a company helps finance its own customers, who then use that money to purchase its products.
These transactions can be commercially legitimate, and the resulting sales can represent genuine revenue. However, they raise an important question about the quality and sustainability of the reported growth.
How much of today's extraordinary AI revenue growth is driven by genuine, independently funded end-user demand — and how much is being supported by capital circulating within the same AI ecosystem?
Such arrangements can accelerate reported revenue growth, reinforce valuations and create the impression of rapidly expanding demand, even when the ultimate profitability of the underlying AI services remains uncertain.
The increasing reliance on external financing, debt issuance and interconnected investment commitments creates another vulnerability. If access to capital tightens, the consequences could spread rapidly across the entire AI ecosystem, from infrastructure providers and chip manufacturers to cloud operators and their financial backers.
This is precisely why I believe investors should focus much more closely on cash generation, financing structures and returns on invested capital rather than celebrating headline revenue growth alone.
An Extraordinary Concentration Risk
There is another major risk that deserves much greater attention: the extraordinary concentration of the US equity market.
The numbers are striking:
The 10 largest companies account for approximately 40% of the S&P 500's total market capitalization.
The 20 largest companies represent around 50% of the entire index. Just 20 companies out of approximately 500 index constituents determine half of its performance.
AI-related stocks account for more than 41% of the S&P 500, illustrating just how dependent the broader market has become on a single investment theme.
Such extreme levels of concentration are historically unusual. Similar patterns have emerged during previous speculative investment booms, when investor enthusiasm became increasingly focused on a relatively small number of companies or sectors.
History does not repeat itself exactly, but excessive concentration, extraordinary valuations and unrealistic growth expectations have frequently accompanied major market bubbles.
The danger is that investors believe they are broadly diversified through an S&P 500 ETF, while in reality a substantial portion of their capital is exposed to the same underlying investment theme.
Should sentiment toward AI deteriorate further, the consequences could extend far beyond individual technology companies.
A broad-based sell-off could trigger additional selling through index ETFs, leveraged investment products and systematic strategies, amplifying market declines well beyond the AI sector itself.
My Positioning — Early, but Prepared
If you have been following my market commentary for some time, my skeptical outlook on the AI investment boom and the broader US technology sector should come as no surprise.
I have consistently questioned the sustainability of extraordinary valuations, aggressive capital spending, increasingly debt-financed expansion and now the growing circularity of financial flows within the AI ecosystem.
I left the AI party far too early. There is no question about that. The speculative rally continued considerably longer than I anticipated.
However, I would rather leave a speculative party too early than remain fully exposed when the music suddenly stops.
My positioning reflects this conviction, with short exposure to selected technology companies, long volatility positions and substantial cash reserves.
I cannot predict exactly what will be the trigger and when the AI bubble will burst, but I believe the risks are increasingly asymmetric.
And when investors finally begin questioning not only the extraordinary expectations embedded in today's valuations, but also the quality of reported revenues and the financial dependencies supporting them, the adjustment could be both rapid and painful.
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