Ticker Symbol: YOU
I’m Alex. I use an engineering background—8 years as a rocket scientist at MIT Lincoln Laboratory and graduate training in electrical engineering, systems engineering, and image processing—to research AI, semiconductors, and other advanced technologies, invest in them, and cover the research on YouTube.
Past bets that played out
Recurring calls emphasize AI infrastructure leaders (especially NVDA) and durable platform plays in semiconductors and defense. Content often frames Nvidia’s earnings and product roadmap as a new phase for the AI cycle and urges investors to focus on infrastructure winners and buy into volatility. Several posts are promotional or clickbait-style and do not provide concrete numbers or actionable catalysts.
YouTube video supercut claiming to highlight Jensen Huang’s GTC 2026 keynote. The post (no transcript available) references NVIDIA’s next-gen “Vera Rubin” and “Rubin Ultra” GPUs, a new “STX memory architecture,” mentions “new Groq chips” (likely competitive/adjacent AI inference silicon), and software/robotics items like “NemoClaw for OpenClaw.” Because the transcript is unavailable, specific specs, timelines, partners, and commercial impact can’t be validated from this source alone; actionable
Promotional/YouTube-style post about “top stocks I’m buying for massive growth in April 2026,” with a sponsorship plug (Simply Wall St). The only clearly identified stock is Nebius (NBIS). The author claims NBIS has (or will have) a larger long-term partnership to deploy/commit up to ~$15B more in capacity, argues this could create significant recurring revenue, and references very large implied ARR/value outcomes (e.g., 7–9B ARR and very high per-share valuation), but details are incomplete and
The post argues that the Iran conflict is driving a risk-off move that is already hurting AI/tech stocks (mentions NVDA) and implies winners will emerge by 2029. It suggests geopolitical risk will shift capital into defense contractors, energy producers, and safe-haven assets, but provides no data or transcript—mostly speculative commentary and promotion for VCX.
What this channel is watching now
Top tickers mentioned on the channel: NVDA (8 mentions, avg conviction 0.475), TSM (2 mentions, avg conviction 0.52), AMD (2 mentions, avg conviction 0.415), AN (1 mention, avg conviction 0.6). Other recurring names include LMT, NOC, SMH, and AVGO. Focus is on AI, chips, robotics, and defense-related semiconductor exposure.
Latest videos and market context
Recent posts include a mix of thematic AI coverage and promotional/clickbait content. Examples: videos promoting an InvestingPro discount with sensational headlines, AI-product reaction pieces (Claude/Claude-like demos), and several Nvidia-focused posts arguing a structural shift after earnings and teasing smaller AI infrastructure picks (tickers often not disclosed in the teaser).
AI Just Did The UNTHINKABLE To Stocks (Prepare Now)
Clickbait/promotional post (“AI just did the unthinkable to stocks”) advertising an InvestingPro subscription/discount code. No concrete news, data, company names, tickers, or actionable market catalyst described.
What Claude Just Did Is Insane (Investors Aren't Ready)
Skipped non-finance YouTube video. The content does not contain a clear market or investable-stock discussion.
The Biggest AI Jump Just Happened (Investors Aren't Ready)
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
Top 3 AI Stocks I'm Buying Now (Even Over NVIDIA Stock)
Social/video post claims NVIDIA (NVDA) and Google (GOOGL) have been major AI winners but are now trillion-dollar companies; teaser promises “three smaller AI stocks” positioned as critical infrastructure for the next phase of AI. The excerpt is cut off before naming the three stocks, so the actionable tickers are not provided in the text.
Proof-backed call history
Professional background: 8 years at MIT Lincoln Laboratory as a rocket scientist. Education: BE in Electrical Engineering, ME in Systems Engineering & Optimization, and partial PhD work in Image Processing & Computer Vision. Transitioned from engineering to full-time investing and public research dissemination on YouTube.
Clickbait/promotional post (“AI just did the unthinkable to stocks”) advertising an InvestingPro subscription/discount code. No concrete news, data, company names, tickers, or actionable market catalyst described.
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
The entry argues that, despite current geopolitical turmoil (Trump–Iran crisis) and potential near-term market drawdowns, Nvidia’s recent earnings signaled a major “new phase” in the AI cycle. The implied takeaway is to focus on AI infrastructure winners (especially Nvidia) and be prepared to buy into volatility rather than get distracted by macro headlines. No concrete numbers, guidance details, or specific catalysts beyond a general reference to Nvidia earnings are provided.
Social/video post claims NVIDIA (NVDA) and Google (GOOGL) have been major AI winners but are now trillion-dollar companies; teaser promises “three smaller AI stocks” positioned as critical infrastructure for the next phase of AI. The excerpt is cut off before naming the three stocks, so the actionable tickers are not provided in the text.
Social/video post claims NVIDIA (NVDA) and Google (GOOGL) have been major AI winners but are now trillion-dollar companies; teaser promises “three smaller AI stocks” positioned as critical infrastructure for the next phase of AI. The excerpt is cut off before naming the three stocks, so the actionable tickers are not provided in the text.
Promotional post for NVIDIA GTC 2026 (Mar 16–19) and an interview with an NVIDIA robotics software product lead, arguing NVIDIA’s AI stack is expanding from data centers into “physical AI”/robotics. No specific product/earnings numbers or concrete customer deals are disclosed—more of a thematic reinforcement that NVIDIA is positioning itself as a platform provider for robotics.
Promotional post for NVIDIA GTC 2026 (Mar 16–19) and an interview with an NVIDIA robotics software product lead, arguing NVIDIA’s AI stack is expanding from data centers into “physical AI”/robotics. No specific product/earnings numbers or concrete customer deals are disclosed—more of a thematic reinforcement that NVIDIA is positioning itself as a platform provider for robotics.
Promotional post for NVIDIA GTC 2026 (Mar 16–19) and an interview with an NVIDIA robotics software product lead, arguing NVIDIA’s AI stack is expanding from data centers into “physical AI”/robotics. No specific product/earnings numbers or concrete customer deals are disclosed—more of a thematic reinforcement that NVIDIA is positioning itself as a platform provider for robotics.
Promotional post for NVIDIA GTC 2026 (Mar 16–19) and an interview with an NVIDIA robotics software product lead, arguing NVIDIA’s AI stack is expanding from data centers into “physical AI”/robotics. No specific product/earnings numbers or concrete customer deals are disclosed—more of a thematic reinforcement that NVIDIA is positioning itself as a platform provider for robotics.
About this channel
Research approach blends engineering-level technical analysis with market-focused investment thinking. Primary themes: AI compute infrastructure, semiconductor supply chains, robotics/physical AI, and defense-related technology exposure. Content combines long-term thematic conviction with tradeable ideas, though some posts are promotional or speculative and lack quantifiable catalysts.
Investing in innovation starts with understanding it. My name is Alex. Before becoming a full-time investor, I spent 8 years as a rocket scientist at MIT Lincoln Laboratory. I hold a BE in Electrical Engineering, an ME in Systems Engineering & Optimization, and an unfinished PhD in Image Processing & Computer Vision. Now, I use my engineering background to research AI, semiconductors, and other advanced technologies, invest in them, and cover it all on this channel.
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Subscribe to the channel for deep dives on AI infrastructure, semiconductor supply chains, and tech investing. Expect engineering-focused analysis, thesis-driven stock ideas, and periodic promotional content—exercise due diligence and treat teaser-style videos with caution.
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