Comfort Systems $FIX (+5,85%) is a good example for me of why I don’t automatically view price increases as a risk . Many investors see a chart like this and think, “Too late. The stock has already risen too much.” I see this in comments on my posts, too.

I try to frame the question differently:

• Why has the stock gone up?
• And could that reason still exist in the future?

The stock market doesn’t value the past. It values the future. A rise in the stock price alone therefore says little about whether a stock is attractive or unattractive. What matters to me is whether the company continues to benefit from a structural trend or a relevant bottleneck.

That’s exactly why I focus on technologies, infrastructure, and bottlenecks every day. Some of them disappear after a short time. Others persist for a surprisingly long time.

In my view, Comfort Systems is an example of this. Quanta Services $PWR (+7,22%), Applied Materials $AMAT (+5,41%) or Monolithic Power Systems $MPWR (+5,53%) are as well. If you look back over the last 10 to 15 years, you won’t see a one-time event, but rather often a long phase of continuous value creation. Incidentally, Comfort Systems has risen by 2,445% over 5 years, 5,948% over 10 years, and 24,349% over 15 years.

Of course, this is just my personal perspective. Every investor has a different risk tolerance, different criteria, and a different investment horizon. I’m not claiming that my view is correct. I simply consider it an interesting perspective on the question of what risk actually means in the stock market.

That’s why Comfort Systems, Applied Materials, and Quanta Services are also part of my wikifolio CoreLimits, which focuses on established bottlenecks and stable companies.

#dibs
#scalelimits
#wikifolio

My last bottleneck posts were about HBM/Memory, Power & Cooling and Advanced Packaging. All three topics show that the critical points in the AI stack are shifting further and further into the physical infrastructure.

Today it's all about energy/grid.

Modern AI systems not only require computing power, but also enormous amounts of of stable energy. Several bottlenecks are now emerging in parallel. What I find particularly remarkable is that many investors think of energy almost exclusively in terms of electricity production. The actual bottleneck is spread across several levels of the infrastructure.

Level 1: Generation

This is where the energy itself is generated. For me $GEV (+1,64%) (GE Vernova), $RR. (+4,21%) (Rolls-Royce Holdings) and $BE (+3,77%) (Bloom Energy) are exciting examples. The bottlenecks here are mainly in base load, flexible generation and local energy supply around new AI and data center load profiles. And Rolls-Royce could also become a player in Small Modular Reactors (SMR).

Level 2: Transmission

This is about being able to transport large amounts of energy at all. This sector is currently almost the biggest physical grid bottleneck. I find it particularly relevant here $PWR (+7,22%) (Quanta Services), $PRY (+0,62%) (Prysmian) and $HPS.A (-4,03%) (Hammond Power Solutions). Typical bottlenecks are HVDC, high voltage, transformers and the massive expansion of the grid infrastructure.

Level 3: Distribution

Ultimately, the energy must be available locally, for industry, cities, data centers or critical infrastructure. There I look above all at $POWL (+7,13%) (Powell Industries), $VICR (+9,49%) (Vicor) and $MPWR (+5,53%) (Monolithic Power Systems). The problems here are increasingly arising with power delivery, medium voltage, AI rack power and stable local grids.

Level 4: Implementation

This area is often underestimated. Because even if technology, capital and planning are available, projects still have to be physically implemented in the end.

That's why I think $FIX (+5,85%) (Comfort Systems USA), $EME (+2,82%) (EMCOR Group) and $STRL (+5,43%) (Sterling Infrastructure) interesting. The bottlenecks here often lie in EPC capacities (plant construction), skilled workers, construction speed and the actual realization of large infrastructure projects.

Energy/Grid is currently so exciting for me because the bottleneck is not in a single place, but runs through the entire energy chain. but runs through the entire energy chain. That's why I consider this topic to be one of the most important bottlenecks around AI infrastructure at the moment.

#wikifolio
#scalelimits

$SON (-1,14%)
$MDT (-1,09%)
$LDOS (-1,61%)
$PANW (+1,08%)
$CDNS (+4,01%)
$KRYS (+0,97%)
$HL (+3,28%)
$TOL (-1,22%)
$KVUE (+0%)
$DEVON
$ADI (+2,12%)
$GRMN (+0,39%)
$SEDG (+5,9%)
$MCO (-1,09%)
$FVRR (-0,47%)
$PODD (-6,16%)
$CVNA (+3,14%)
$DASH (+2,56%)
$FIGX
$EBAY (-0,44%)
$RELY
$WMT (-0,86%)
$PWR (+7,22%)
$DE (+2,46%)
$LMND (-3,96%)
$KLAR (-0,42%)
$W (-0,74%)
$NICE
$YETI (-3,35%)
$OPEN (-20,15%)
$NEM (+1,69%)
$AKAM (+8,1%)
$SFM (-3,65%)
$TXRH (+0,03%)
$BCPC (-2,37%)
$BKNG (-2,67%)

The best shares for 2026 from the $UBSG (-0,38%)

$AMZN (+1,98%)
$ANET (+8,23%)
$CSCO (-0,71%)
$SNOW (+2,9%)
$TXN (+0,65%)
$NEE (-0,1%)
$D (-0,92%)
$ETN (+5,95%)
$PWR (+7,22%)
$FSLR (+5,16%)
$UNH (+0,77%)
$ACAD (+0,63%)
$DHR (+1,76%)
$LLY (+0,03%)
$NOVO B (+0,94%)
$COF (-0,19%)
$SPGI (+0,14%)
$TPG (+0,18%)
$LOGN (-0,63%)
$NESN (-1,51%)
$SIKA (-0,02%)