3J·

+++ What weak signals are currently visible? 🔭 +++

Numerous companies in my DIBS investment universe have suffered significant losses in recent days. This affects not only individual stocks but also large segments of the AI infrastructure.


Following an exceptionally strong price performance, high valuations are now being scrutinized more critically. The market is taking a much closer look at margins, order intake, and the actual implementation of investment plans. At the same time, additional factors such as increasing competition or short-term disappointments are weighing on individual companies.


This is not an unusual development. Similar phases have also occurred in previous technology cycles. Sharp price increases are often followed by a phase in which the market once again distinguishes more clearly between vision and operational execution.


That is precisely why, in such market phases, I make a conscious effort to take a step back and not overinterpret every price movement.


That’s why, in such situations, I make a conscious effort to look not only at stock prices but also at the underlying signals. In doing so, I currently see both reasons for caution and indications that make me optimistic in the long term.


🔮 Selected “weak signals” that I view critically:

  • Harmonic Drive Systems
    $6324 (+0,53 %) shows that high demand alone isn’t enough. The discussion surrounding margins and valuation has made the market significantly more sensitive.
  • SKF is intensifying competition in the robotics components sector through its acquisition of a Chinese precision robotics company. This could increase pressure on margins in the long term.
  • Many companies continue to be valued at high multiples despite the correction. This leaves little room for operational disappointments.


🟱 Selected “Weak Signals” that make me optimistic:

  • Micron $MU (+2,78 %), TSMC
    $TSM (+1,44 %) and ASML
    $ASML (+0,05 %) have recently presented quarterly results and outlooks that continue to point to robust demand for AI infrastructure.
  • Micron
    $MU (+2,78 %) and Qualcomm
    $QCOM (-0,37 %) have signed a long-term supply agreement (LTA) for automotive AI. Such contracts provide planning certainty and suggest that key customers are planning their infrastructure beyond just the next few quarters.
  • The hyperscalers continue to invest billions in expanding their data centers. The focus is increasingly shifting from announcements to the actual implementation of these projects.


None of these signals on its own proves a trend reversal. But taken together, they help me continuously reassess my investment theses.


For my DIBS strategy, this does not currently imply an automatic decision to buy or sell. What matters to me is not whether a stock falls 30 or 40 percent in the short term, but whether the underlying bottleneck thesis has changed.


That’s why I scrutinize my investment universe particularly closely during such market phases. Not every investment thesis will ultimately pan out. At the same time, however, I currently see no convincing evidence that the fundamental technological bottlenecks in the AI infrastructure sector have already been resolved.


I will therefore continue to closely monitor developments, remaining equally open to both positive and negative signals. For now, I am not making any adjustments to my portfolio.


P.S. The photo of the observer fits the post. I took it years ago in Bonn. The figure can be found tucked away on the banks of the Rhine.

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#dibs
#scalelimits
#wikifolio

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11 Commentaires

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I fundamentally agree with you, but the market always trades on the future, so while demand for and investment in AI may remain consistently strong at present, we are certainly (almost) at the peak.
As soon as a hyperscaler or an AI company reports weaker results, the market could take a significant downturn.
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@SathosiRuffy Of course, no one can rule that out. What’s making me skeptical of your main thesis right now, though, are the signals coming from the infrastructure sector. The latest quarterly results from Micron, TSMC, and ASML don’t yet point to a slowdown in demand.

At the same time, CapEx forecasts for the hyperscalers in 2027/2028 have even been raised recently. Morgan Stanley now expects approximately $1.2 trillion in hyperscaler CapEx for 2027 and about $1.4 trillion for 2028. (See https://www.investors.com/news/technology/meta-stock-amazon-stock-ai-costs-morgan-stanley/). To me, this does not fit with an imminent end to the investment cycle.

Of course, there remains a risk that individual hyperscalers or AI companies will eventually report weaker results. That is precisely why I am monitoring the “weak signals” so closely. At the moment, however, I see even more signs of ongoing implementation than of an abrupt end to the investment wave.
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@ScaleLimits JLL sees the investment supercycle remaining intact through 2030 at >$3 billion, which aligns with your analysis. I agree; if capital expenditures continue, the DIBS story will remain a good bet, even if the market cools off in the short term.
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@ScaleLimits Sorry, I meant 2030—I've edited it.
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@Keineui Thank you. I'm optimistic that the AI sector will soon recover from this major slump and reach new heights. Of course, that doesn't apply to every stock. I'm really looking forward to the upcoming quarterly earnings reports.
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@ScaleLimits So you don't really think there will be a 10% correction?
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@SathosiRuffy I don't understand your question. We're currently seeing a correction that's well over -10%, and in some cases over -50%. Maybe it will even go down a little further. But then there will probably be an upward trend.
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@ScaleLimits The question, of course, is which stocks to look at. The broader market is still trading near its all-time high, as is the FTSE ALL World.
I was thinking more of a correction in the Mag7 and the S&P 500.
TSMC, Micron, and others are, of course, currently experiencing a correction.
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https://dirkspecht.substack.com/p/es-gibt-keine-ki-blase-sondern-eine

I think Dirk Specht has generally covered the topic well. Bottom line: Things are going well, but corporate bankruptcies, setbacks, etc., cannot be ruled out.
Keep your eyes open.
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@Gomerdoc I find much of the text to be very well written: There is no AI bubble in the sense of a meaningless or fleeting technology. There are, however, speculative bubbles, misjudgments, and bad investments within the AI sector.
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