First layer, chips. $NVIDIA(NVDA.US), $AMD(AMD.US), $ASML(ASML.US), $Arm(ARM.US), $Broadcom(AVGO.US) determine the upper limit of AI's thinking speed. This layer is the most familiar to everyone. But it has shifted from having AI or not to a competition of who can sustain supply and keep up with the process rhythm.

Second layer, the severely underestimated network and optical modules. Without $Arista Networks(ANET.US), $Credo Tech(CRDO.US), $Ciena(CIEN.US), $Lumentum(LITE.US), $Applied Optoelectronics(AAOI.US), AI cannot scale. Models don't run isolated on a single card but synchronize across servers, racks, and data centers. The real bottleneck of AI often isn't computing power but data flow speed.

Third layer, physical systems. $Vertiv(VRT.US), $Dell Tech(DELL.US). This layer isn't sexy but is extremely critical. Servers, cooling, and power management determine whether computing power can output stably 24/7.

Fourth layer, storage and memory. $Micron Tech(MU.US), $Sandisk(SNDK.US), $Western Digital(WDC.US), $Seagate Tech(STX.US), $Everpure(PSTG.US) allow AI not just to compute but to remember. Training data, inference calls, historical context—all reside here. Without storage, AI is just a fleeting computational spark.

Fifth layer, compute operators. $IREN(IREN.US), $Cipher Digital(CIFR.US), $Terawulf(WULF.US). Many still view this layer with a mining mindset, but they're essentially doing one thing: providing a long-term, stable, power-controllable large-scale computing foundation. The continuity of AI workloads demands far higher infrastructure requirements than the crypto era.

Sixth layer, batteries and energy storage. $EOS Energy Enterprises(EOSE.US), $Fluence Energy(FLNC.US) are being re-recognized for their importance. AI's power consumption isn't a smooth curve but peak loads. Whoever can stabilize the system during demand surges is the true data center shock absorber.

Seventh layer, power itself. $Vistra(VST.US), $Constellation Energy(CEG.US), $Talen Energy(TLN.US), $Oklo(OKLO.US), $Bloom Energy(BE.US), $GE Vernova(GEV.US). This layer determines whether AI can exist long-term. Without stable, scalable power, the previous seven layers are all moot. AI is pushing power back into the position of a national strategic resource.

Eighth layer, cloud and new cloud. $Microsoft(MSFT.US), $Alphabet(GOOGL.US), $Amazon(AMZN.US), $Oracle(ORCL.US) are traditional gateways, while $Nebius(NBIS.US), $Galaxy Digital(GLXY.US), $Coreweave(CRWV.US), $Applied Digital(APLD.US) represent AI-native clouds. They package all the complex hardware, energy, and scheduling into "AI capabilities rented by the hour."