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Yep, I'm personally high conviction on the AI trade (especially photonics/memory) despite macro. - $NVDA gave forecasts for $1.3T hyperscaler capex ($100B+ above BofA analyst expectations) - $SPCX Wells Fargo forecasts are ~$263B for 2027. - $127B spend in 2027 for Anthropic/OpenAI model training + inference from internal investor documents (WSJ). - Even the Pentagon (US gov) is looking to fund the AI buildout, with $5B potentially into Fluidstack. What sectors do I think capex flows hit the hardest? Photonics + Memory. Trendforce for example est. DRAM and NAND to be 68% of hyperscaler capex in 2027. So when all that memory procurement spend hits the balance sheets of $MU, $SNDK, Samsung, $SKHY with 70-80%+ margins. I don't think these companies care about short term macro scares. And when your leading memory companies are all allocating capacity for DDR5/HBM or high end memory, with little visibility on legacy memory supply coming online. What does that say about the durability of ESMT/Etron/Winbond and others? And when your optical content/GPU goes up for rubin ultra + $META / $GOOGL TPU v9, etc. Alongside TAM eg. $131.4 billion (+81% revision) for 2027 optical module forecasts. Who benefits from supplying all that lasers during a shortage other than $LITE / $SIVE / $AAOI / $COHR? I think the overwhelming fundamentals + growth of some of the AI sector companies will outperform macro.