TSM Reddit Mentions | ChartExchange

“Space is the future, AI enables it” — built a 4-tier ETF/stock portfolio around that thesis, looking for a reality check on timing + ideas for what comes next
Started this project in April with $500 and no finance background — just a thesis I couldn’t stop thinking about: space is the next frontier, and AI is what’s going to unlock it. So instead of picking random space stocks, I built a portfolio that ladders across the stages of that progression — starting with the AI buildout happening right now, and leaving room to add frontier/aerospace bets as the thing plays out.
Structure (Phase 1 — AI Development/Implementation):
• 60% — Base: Growth exposure, heavy AI/tech tilt (think SCHG, VOOG, broad quality names)
• 25% — AI/Tech Enablers: Non-tech companies that make AI physically possible — industrial, energy, materials, infrastructure. The unglamorous plumbing layer.
• 10% — Innovating AI Users: Companies applying AI to real breakthroughs — pharma, robotics, aerospace/defense, security
• 5% — Out There Ideas: Pure asymmetric frontier bets. “Why not.”
Process: Instead of chasing thematic ETFs, I hunt for strong individual names sitting in unexpected ETF baskets (e.g. a chip name showing up inside an energy or industrials fund) — it tends to mean quality names get picked up by funds outside their obvious category, which I use as a cross-check/entry point. Every thin or novel ETF I buy gets paired dollar-for-dollar with an established fund (SCHG/VOOG) to offset the structural risk. No fractional shares (E\*Trade), $50–100/week contributions, no exceptions to the rule discipline.
Where it stands today (as of 7/9):
• \~$3,432 deployed, current value \~$3,247 (down about 5.4% since April — rough few months for the whole space)
• Category weights: 59.4% / 23.2% / 11.1% / 6.3% — sitting right on top of the 60/25/10/5 targets, which the discipline seems to be doing its job on
• Biggest cross-basket exposure right now: MU, NVDA, AVGO, TSM, SK Hynix — the “wrong basket” names showing up everywhere
What I actually want feedback on:
1. Timing — Am I early, late, or right on time building an AI-buildout-first / space-second thesis starting mid-2026? Curious whether people think the “enablers” layer (industrials/energy/materials riding AI capex) still has room, or if that trade’s already crowded/priced in.
2. Phase 2 — The plan was always to graduate into more direct frontier/aerospace/orbital exposure once the AI layer matured. What would you actually put in that bucket? Pure-play space ETFs? Direct names (RKLB, etc.)? Is there a smarter way to structure a “frontier” allocation than just picking speculative single names?
Not trying to get rich quick — this is a slow-build, weekly-contribution project and I’m treating it like a long experiment. Would genuinely appreciate people poking holes in the logic. Thanks.