$NBIS $SNDK $FLNC - Everyone is panicking about an AI bubble and suddenly everyone thinks they’re a detective trying to piece together clues for the grand top. Remember this:
1. Compute demand is compounding at an unprecedented pace. Google said workloads now require roughly double the compute every six months. That is not bubble behavior.
2. We’re still in the infrastructure-build phase. Training clusters, inference fabrics, memory, interconnect, and power capacity are all scaling because actual usage is scaling. The ecosystem is still being built, not unwound.
3. The constraint is physical, not financial. Power, land, grid access, cooling, and transformer capacity are the choke points. When bottlenecks move to real-world infrastructure, it signals structural demand, not mania.
4. AI is becoming a general-purpose layer. Every major enterprise is re-architecting workflows around AI: code, ops, research, design, customer service, analytics. Broad adoption curves don’t peak early.
5. The economic value isn’t in the market yet. Productivity gains, cost reductions, and entirely new revenue lines haven’t begun to flow at scale. The financial impact lags the buildout by years.
People trying to solve the bubble mystery are missing the simplest evidence: nothing fundamental is slowing
Inshallah we go up tomorrow I am on my knees begging and praying. Thy name Jesus Christ Yeshua HaMashiach Mazel Tov Baruch Hashem may the candles be green and the portfolio be healed.