*Update*: Bubble warning signals mounting, yet value investors spot opportunities

The rift between euphoria and disillusionment in the AI stock market is widening. Fast Company warns that current valuation patterns repeat a familiar pattern from earlier speculative bubbles: capital flows into a narrowly confined group of titles, while market breadth declines – a classic early warning signal that analysts also observed before the Dotcom bubble burst.

Simultaneously, practice shows that not all AI bets carry equal risk. Yahoo Finance reports on three AI stocks with value profiles, including a household name and two largely unknown titles that trade significantly below their fair value despite AI exposure. This illustrates: the bubble, if it exists, primarily affects the most prominent names – not the entire ecosystem.

Unequal distribution of AI gains

A concrete example comes from the Capgemini analysis by Deutsche Bank. investing.com reports that Deutsche Bank has lowered its price target for Capgemini – justified by a shift in AI demand away from traditional IT service providers toward cloud-native platforms. This hits European tech companies harder than US hyperscalers and shows how unevenly the AI boom is distributed.

On the other side of the Atlantic, Amazon illustrates the paradox particularly clearly. Seeking Alpha analyzes that Amazon's stock has barely reflected the AI wave so far, even though the core business – especially AWS – benefits massively from it. Investors who only look at the price thus overlook fundamental strength.

Added to this is a structural problem burdening the entire sector: Computerworld describes the AI pricing dilemma facing providers – companies struggle to price AI services profitably because infrastructure costs and customer resistance are rising simultaneously. This pressures margins and could put valuations based on aggressive growth assumptions under pressure in the medium term.

The overall situation is thus more opaque than ever: warning signals at the macro level, opportunities at the individual stock level, structural margin questions, and geographically unequal distribution of AI gains – anyone who is blanketly bullish or bearish here is oversimplifying.