Learn AI Investing from Zero 🧵

AI is the hottest topic right now:
Top hyperscalers in US stocks are pouring more than half of their cash flow into CapEx;
From GPU to HBM to optical interconnects, every link in the chain surges in rotation.

On X, noise > signal, and after reading it, you don’t know where to start.

I’ve put together a free tutorial for systematically learning AI investing:
https://t.co/WMzsUSODtY 🇨🇳
https://t.co/7acSyLIBF1 🌍

1/n https://t.co/JcjWkck3ds

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Source: https://wizzai101.com/

AI Investing 101¶ (https://wizzai101.com/#ai-101)

From zero knowledge of the AI industry → being able to systematically discuss AI US stock investments. 6 major knowledge blocks · 5 real analysis workflows · all based on public sources.

Who is this for¶ (https://wizzai101.com/#_1)

• Completely zero knowledge — don’t know what EPS / PE / FCF / 13F are — this course does not assume you understand them, teaches step by step.
• Familiar with AI superficially — have heard of NVIDIA / ChatGPT, but don’t know how the whole ecosystem works — Part 1 gives you a complete map.
• Want systematic judgment — don’t want to follow KOL hype for buying/selling, want to build your own judgment framework + continuous review rhythm.

5 Major Parts — Complete Learning Path

• AI Industry Knowledge — History → Technology → Value Chain → Business → Applications → Geopolitics. 10 chapters, ~20 hours (2 weeks). History base rate``Transformer intuition``HBM / Nuclear power``60 ticker map``5 real cases 10 chapter map (https://wizzai101.com/part1_industry/)
• AI Investing — General investing framework (2.A) + AI-specific analysis (2.B). 10 chapters, ~20 hours (2 weeks). DCF / Mental Models``Historical parallels``Portfolio sizing``4-dimensional thesis``NVDA walkthrough 10 chapter map (https://wizzai101.com/part2_investing/)
• Real Analysis Workflows — 5 public workflows from Coatue / Druckenmiller / Buffett / Howard Marks. 5 chapters, ~10 hours (1 week). Hedge fund 5 steps``Buffett 5 steps``Find industry bottlenecks``Multi-PM perspective``Anti-thesis 5 chapter map (https://wizzai101.com/part3_methods/)
• Public Real Cases — Use Part 3 tools to dissect 5 real events — DeepSeek / Samsung HBM / Stargate / Export controls / Buffett not buying NVDA (https://wizzai101.com/companies/NVDA/). 5 chapters, ~10 hours (1 week). Algorithm wildcard``Supply chain wildcard``Policy wildcard``Geopolitical wildcard``Discipline of non-participation 5 chapter map (https://wizzai101.com/part4_cases/)
• Extended Reading — Systematic map of free sources + 6-week day-by-day reading roadmap. 2 chapters + ongoing. Company IR / SEC``Motley Fool``13F``Public podcasts``PM letters 2 chapters + roadmap (https://wizzai101.com/part5_reading/)

What you will be able to do after completing¶ (https://wizzai101.com/#_2)

• Explain AI value chain: what is the relationship between NVIDIA, TSMC, ASML (https://wizzai101.com/companies/ASML/), and OpenAI
• Understand key terms: HBM / CPO / RPO / Capex second derivative / Scaling Laws
• Dissect a stock using 4-D framework: view / supports / red_flags / catalysts + KPI predictions
• Evaluate using 5 workflows: Hedge fund / Buffett / Find bottlenecks / 3 PM / Anti-thesis
• Identify historical patterns: which era does the current setup resemble — 1999 dotcom / 2010 mobile / 1840 railroads?
• See through short-term volatility: DeepSeek -17% — panic or thesis broken? 4 invalidation checks not triggered = hold
• Build your own thesis library: 5-10 stocks yaml + weekly/monthly review + 90-day retrospective

Recommended Pace · 6-Week Reading Roadmap¶ (https://wizzai101.com/#6-reading-roadmap)

Week 1· ### Industry Foundations¶ (https://wizzai101.com/#_3) History + Transformer + NVDA (https://wizzai101.com/companies/NVDA/) + LLM + Hardware (Part 1 C1-C5)

Week 2· ### Complete Industry¶ (https://wizzai101.com/#_4) Value chain + Business + Applications + Geopolitics + Cases (Part 1 C6-C10)

Week 3· ### General Investing¶ (https://wizzai101.com/#_5) DCF + Mental Models + Historical parallels + Sizing + Behavior

Week 4· ### AI-Specific + First Thesis¶ (https://wizzai101.com/#ai-1-thesis) 4-D yaml + NVDA (https://wizzai101.com/companies/NVDA/) walkthrough + Write your own

Week 5· ### Real Workflows¶ (https://wizzai101.com/#_6) Hedge fund / Buffett / Find bottlenecks / Multi-PM / Anti-thesis

Week 6· ### Public Cases + Dissect New Event¶ (https://wizzai101.com/#_7) 5 case forensics + Dissect 1 recent new event by yourself

Detailed day-by-day plan in P5-C2 · 6-Week Beginner Reading Roadmap (https://wizzai101.com/part5_reading/c2_reading_roadmap/) — 10 hours/week × 6 weeks = 60 hours threshold.

0 Paid Source Commitment¶ (https://wizzai101.com/#0)

The entire site’s sources are all based on free and accessible resources:

• Company IR + SEC EDGAR 10-K / 10-Q / 13F / 8-K — 100% free
• Public Podcasts Lex Fridman · Acquired · All-In · Invest Like the Best
• PM Letters to Shareholders Buffett · Howard Marks · Ackman — completely free
• Institutional Holdings 13F Whalewisdom · Dataroma — free tier sufficient
• Academic Blogs Aswath Damodaran (NYU) — free models + blog
• Earnings Transcripts Motley Fool — free 1-2 days after earnings

With free sources in the first 6-12 weeks, you already surpass 90% of retail investors.