Get In Early. This Stock Will Make Millionaires By 2029.
A promotional, high-conviction buy case that argues getting in early on novel AI semiconductor technology (and a related public vehicle for private tech) can produce outsized returns by 2029. The narrative highlights wafer-scale AI chips, comparisons to NVIDIA, and historical IPO returns for companies such as ARM and Palantir as illustrative examples. The underlying materials are video- and promo-driven and include a sponsor link for VCX.
Linked assets
VCX — positioned as a public vehicle for private tech exposure; promoted as a way to access pre-IPO-like opportunities. ARM — referenced repeatedly as a historical IPO example and in comparison to other AI chip players (mentioned as ARM stock and its past performance since IPO).
Get In Early. This Stock Will Make Millionaires By 2029. Get In Early. This Stock Will Make Millionaires By 2029. VCX is the public ticker for private tech. Learn more at https://getvcx.com If you put $10,000 in ARM stock when it IPO’d less than 3 years ago, you’d have $35,000 today. If you invested it in #palantir ( #pltr stock ) when it IPO’d in 2020, you’d have close to $150,000. Well, this company AI chips that should be physically impossible – and they just went public. My name is Alex. I spent 8 years as an electrical engineer and AI researcher at MIT and I’ve never seen chips like this. Let me show you what #cerebras ( #cbrs stock ) does and whether they can actually compete with #nvidia ( #nvda stock ) to become one of the best stocks to buy now! » My Top 10 Stocks for 2026: https://www.youtube.com/watch?v=SBs4LV0_PjA » Podcast: https://www.youtube.com/playlist?list=PLEzjBEcw2qf3_JUdsbF7W2-OfOMgndZkZ » Twitter: https://twitter.com/TickerSymbolYOU Timestamps for this Cerebras Stock IPO Deep Dive: 00:00 IPOs - The Risks of Getting In Early 06:45 Is Cerebras The Next NVIDIA? 13:22 Cerebras Financials & My Plan Resources & References: » NVIDIA GPU Advances: https://www.youtube.com/watch?v=1Oqt4zzxjTU » NVIDIA AI Advances: https://www.youtube.com/watch?v=6ZFMU9T32-I » OpenAI Dev Day: https://www.youtube.com/watch?v=XhLlRS2-BO8 » Google AI War: https://www.youtube.com/watch?v=Y9i3OIMitRQ Disclaimers & Disclosures: How Ticker Symbol YOU Makes Money (Full Transparency): https://www.youtube.com/watch?v=JF1x4vcR_Kc Ticker Symbol YOU Ethics Policy: https://tsy.link/ethics All content on this channel is for informational purposes only and should not be construed as professional financial advice or recommendation to buy or sell any securities. Trading stocks, ETFs, other securities, and/or cryptocurrencies poses a considerable risk of loss. Neither host or guests can be held responsible for any direct or incidental loss incurred by applying any of the information offered. The content in this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Should you need such advice, consult a licensed financial or tax advisor. When you make purchases through links in this video description, the author may earn a commission. See additional disclosures at https://tickersymbolyou.com/disclosures/ 🙏 Thanks for watching! and AI researcher at MIT, and I've never company starts selling shares on a public stock exchange for the first lock up lots of money for a long period don't have to report earnings. They revenue with zero obligation to show you earnings every quarter. Independent fixed schedule. Otherwise, the SEC comes only have the S1 form, which is the go public. The S1 covers the company's margins going down, or if they'll ever even hit their revenue guidance in the buying a story. And that story comes The stock skyrockets and then the real matter more. The stock price moves with period ends and insiders start selling can't sell their shares right away. finally start to sell. That selling pressure drives the stock price down and once. 1.8 billion shares and the stock of the best performing stocks of the waited and bought it at $18 per share best buying opportunity, but the crash after the lockup period was. ARM went was actually ARM's second time going including Cerebras, ARM already had decades of revenue history and a proven of that year, it was down by 27%. ARM is are not publicly traded. Think about the or longer to go public. That means where VCX comes in, the sponsor of this video. VCX is the public ticker for only for the ultra wealthy, but VCX by before they IPO, check out VCX by When insiders sell, the stock price Insiders are in that same position. The year, I expect a lot of insider selling. stock. For 75 years, the semiconductor inside an Nvidia Blackwell B200 is engine or WSE for short. The current generation is the WSE3 and the die size B200's. But the chip itself is 62 times node by TSMC. If transistors are like right away. Nvidia has 192 GB of high the chip. While Cerebras has 44 GB of SRAMM, which is a faster type of memory Nvidia's B200's at a time. So Nvidia's the Nvidia B200. The big difference in inference performance is because NVIDIA who's actually buying these wafer scale of Cerebris's revenue in 2025. A and an AI cloud company called G42. The Cerebras' revenue. That's not exactly a 2 GW. But the deal also comes with warrants for OpenAI to buy roughly 10% third big customer is AWS. A couple AWS can now run inference workloads all revenues for 2025 and two new deals $24.6 million of revenue in 2022, $79 revenue growth in 3 years, and 76% margins were reported to be 39% in 2025, margins, while their cloud business runs selling chips. That margin gap matters from the lower margin cloud business, cloud margins will keep improving as with AWS, Microsoft, and Google on cloud infrastructure might force their margins to stay low forever. So margins are one watch over their next few earnings calls. Cerebras also reported a gap net contract tied to preferred stocks. Said revenue. About 80% of that comes from S1 form that investors need to know years ago and he went on to sell his last company to AMD for $334 million since it's also disclosed in the S1. All see if Cerebra stock deserves a spot in stock. Cerebras built a chip that should be unbuildable. They partnered with TSMC that's a useful signal. And third, AWS AWS can now use Cerebrris's wafer scale engines without sales calls, without become. That's a good position to be in earnings call to see their audited Platforms, and ARM, that could be a comments if you're buying Cerebra stock today, waiting for their next earnings, I'm buying to get rich without getting
Get In Early. This Stock Will Make Millionaires By 2029. Get In Early. This Stock Will Make Millionaires By 2029. VCX is the public ticker for private tech. Learn more at https://getvcx.com If you put $10,000 in ARM stock when it IPO’d less than 3 years ago, you’d have $35,000 today. If you invested it in #palantir ( #pltr stock ) when it IPO’d in 2020, you’d have close to $150,000. Well, this company AI chips that should be physically impossible – and they just went public. My name is Alex. I spent 8 years as an electrical engineer and AI researcher at MIT and I’ve never seen chips like this. Let me show you what #cerebras ( #cbrs stock ) does and whether they can actually compete with #nvidia ( #nvda stock ) to become one of the best stocks to buy now! » My Top 10 Stocks for 2026: https://www.youtube.com/watch?v=SBs4LV0_PjA » Podcast: https://www.youtube.com/playlist?list=PLEzjBEcw2qf3_JUdsbF7W2-OfOMgndZkZ » Twitter: https://twitter.com/TickerSymbolYOU Timestamps for this Cerebras Stock IPO Deep Dive: 00:00 IPOs - The Risks of Getting In Early 06:45 Is Cerebras The Next NVIDIA? 13:22 Cerebras Financials & My Plan Resources & References: » NVIDIA GPU Advances: https://www.youtube.com/watch?v=1Oqt4zzxjTU » NVIDIA AI Advances: https://www.youtube.com/watch?v=6ZFMU9T32-I » OpenAI Dev Day: https://www.youtube.com/watch?v=XhLlRS2-BO8 » Google AI War: https://www.youtube.com/watch?v=Y9i3OIMitRQ Disclaimers & Disclosures: How Ticker Symbol YOU Makes Money (Full Transparency): https://www.youtube.com/watch?v=JF1x4vcR_Kc Ticker Symbol YOU Ethics Policy: https://tsy.link/ethics All content on this channel is for informational purposes only and should not be construed as professional financial advice or recommendation to buy or sell any securities. Trading stocks, ETFs, other securities, and/or cryptocurrencies poses a considerable risk of loss. Neither host or guests can be held responsible for any direct or incidental loss incurred by applying any of the information offered. The content in this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Should you need such advice, consult a licensed financial or tax advisor. When you make purchases through links in this video description, the author may earn a commission. See additional disclosures at https://tickersymbolyou.com/disclosures/ 🙏 Thanks for watching! and AI researcher at MIT, and I've never company starts selling shares on a public stock exchange for the first lock up lots of money for a long period don't have to report earnings. They revenue with zero obligation to show you earnings every quarter. Independent fixed schedule. Otherwise, the SEC comes only have the S1 form, which is the go public. The S1 covers the company's margins going down, or if they'll ever even hit their revenue guidance in the buying a story. And that story comes The stock skyrockets and then the real matter more. The stock price moves with period ends and insiders start selling can't sell their shares right away. finally start to sell. That selling pressure drives the stock price down and once. 1.8 billion shares and the stock of the best performing stocks of the waited and bought it at $18 per share best buying opportunity, but the crash after the lockup period was. ARM went was actually ARM's second time going including Cerebras, ARM already had decades of revenue history and a proven of that year, it was down by 27%. ARM is are not publicly traded. Think about the or longer to go public. That means where VCX comes in, the sponsor of this video. VCX is the public ticker for only for the ultra wealthy, but VCX by before they IPO, check out VCX by When insiders sell, the stock price Insiders are in that same position. The year, I expect a lot of insider selling. stock. For 75 years, the semiconductor inside an Nvidia Blackwell B200 is engine or WSE for short. The current generation is the WSE3 and the die size B200's. But the chip itself is 62 times node by TSMC. If transistors are like right away. Nvidia has 192 GB of high the chip. While Cerebras has 44 GB of SRAMM, which is a faster type of memory Nvidia's B200's at a time. So Nvidia's the Nvidia B200. The big difference in inference performance is because NVIDIA who's actually buying these wafer scale of Cerebris's revenue in 2025. A and an AI cloud company called G42. The Cerebras' revenue. That's not exactly a 2 GW. But the deal also comes with warrants for OpenAI to buy roughly 10% third big customer is AWS. A couple AWS can now run inference workloads all revenues for 2025 and two new deals $24.6 million of revenue in 2022, $79 revenue growth in 3 years, and 76% margins were reported to be 39% in 2025, margins, while their cloud business runs selling chips. That margin gap matters from the lower margin cloud business, cloud margins will keep improving as with AWS, Microsoft, and Google on cloud infrastructure might force their margins to stay low forever. So margins are one watch over their next few earnings calls. Cerebras also reported a gap net contract tied to preferred stocks. Said revenue. About 80% of that comes from S1 form that investors need to know years ago and he went on to sell his last company to AMD for $334 million since it's also disclosed in the S1. All see if Cerebra stock deserves a spot in stock. Cerebras built a chip that should be unbuildable. They partnered with TSMC that's a useful signal. And third, AWS AWS can now use Cerebrris's wafer scale engines without sales calls, without become. That's a good position to be in earnings call to see their audited Platforms, and ARM, that could be a comments if you're buying Cerebra stock today, waiting for their next earnings, I'm buying to get rich without getting
Source proof
Source proof: Strong source proof | 2 extracted claims | 2 directional assets | 1 supporting author | headline-like title review
The sources are primarily promotional videos and commentary. They include a YouTube deep dive titled “Get In Early. This Stock Will Make Millionaires By 2029.” and several related AI/semiconductor-themed episodes discussing NVIDIA, Cerebras, AI data-center demand, and semiconductor beneficiaries (AMD, Intel, Micron, TSMC). One source notes SpaceX is not publicly traded and contains no tradable ticker. Claims about specific customers, revenue figures, margins, and deal structures are drawn from presenters referencing S-1 filings and partner announcements but are presented in a loosely organized, promotional format.
Content claims a NASDAQ rule change around May 1 introduces/changes a “seasoning” waiting period for NASDAQ-100 inclusion, and that upcoming large IPOs (unnamed; mentions SpaceX/OpenAI) could force index funds to buy new entrants while selling existing NASDAQ-100 constituents, creating a temporary dislocation around a cited June 12 date. The write-up is internally inconsistent, lacks verifiable specifics (actual rule text, confirmed IPO/inclusion candidates, exact effective dates), and reads promotional.
The provided source contains only a title/body repeating the phrase “SpaceX: The Most Tragic IPO In Stock Market History” with no supporting facts, timing, catalysts, or mention of public tickers. SpaceX is not publicly traded, so there is no directly tradable equity ticker for SpaceX itself.
The source argues for June 2026 “huge growth” picks focused on AI semis and compute: it highlights Nvidia’s continued scale but notes export/competition risks; it turns more bullish on Qualcomm (re-rating/AI compute angle) and Arm (new CPU roadmap claims, strong power efficiency, revenue ramp expectations). Micron is mentioned as a recurring AI-memory beneficiary. The text is partially garbled and includes at least one likely non-tradable/unclear ticker reference ("CBRS" linked to wafer-scale engines).
Get In Early. This Stock Will Make Millionaires By 2029. VCX is the public ticker for private tech. Learn more at https://getvcx.com If you put $10,000 in ARM stock when it IPO’d less than 3 years ago, you’d have $35,000 today. If you invested it in #palantir ( #pltr stock ) when it IPO’d in 2020, you’d have close to $150,000. Well, this company AI chips that should be physically impossible – and they just went public. My name is Alex. I spent 8 years as an electrical engineer and AI researcher at MIT and I’ve never seen chips like this. Let me show you what #cerebras ( #cbrs stock ) does and whether they can actually compete with #nvidia ( #nvda stock ) to become one of the best stocks to buy now! » My Top 10 Stocks for 2026: https://www.youtube.com/watch?v=SBs4LV0_PjA » Podcast: https://www.youtube.com/playlist?list=PLEzjBEcw2qf3_JUdsbF7W2-OfOMgndZkZ » Twitter: https://twitter.com/TickerSymbolYOU Timestamps for this Cerebras Stock IPO Deep Dive: 00:00 IPOs - The Risks of Getting In Early 06:45 Is Cerebras The Next NVIDIA? 13:22 Cerebras Financials & My Plan Resources & References: » NVIDIA GPU Advances: https://www.youtube.com/watch?v=1Oqt4zzxjTU » NVIDIA AI Advances: https://www
E26: NVIDIA Just Changed The Course of AI Forever Join me for a deep dive into @NVIDIA ( #nvda stock ) DGX -- the hardware that's been quietly powering the AI revolution long before #claude by Anthropic, #chatgpt by #openai , or #openclaw were even ideas. I'm joined by Charlie Boyle, Vice President of DGX Systems at NVIDIA and frequent guest of the channel. I learned some surprising things about where the AI market could be headed next and which stocks could be the best stocks to buy now! » My Top 10 Stocks for 2026: https://www.youtube.com/watch?v=SBs4LV0_PjA » Podcast: https://www.youtube.com/playlist?list=PLEzjBEcw2qf3_JUdsbF7W2-OfOMgndZkZ » Twitter: https://twitter.com/TickerSymbolYOU Timestamps for this NVIDIA DGX Deep Dive: 00:00 The Origins of DGX 06:40 Context Memory & Storage 10:47 35X Leap in Performance 14:23 Power Provisioning Resources & References: » NVIDIA GPU Advances: https://www.youtube.com/watch?v=1Oqt4zzxjTU » NVIDIA AI Advances: https://www.youtube.com/watch?v=6ZFMU9T32-I » OpenAI Dev Day: https://www.youtube.com/watch?v=XhLlRS2-BO8 » Google AI War: https://www.youtube.com/watch?v=Y9i3OIMitRQ Disclaimers & Disclosures: How Ticker Symbol YOU Makes Money (Full Tr
The source is a noisy, promotional AI-infrastructure bull case arguing that market fear is elevated and that AMD and Intel are underappreciated beneficiaries of AI data-center buildouts because large GPU clusters require substantial CPU capacity. It cites AMD data-center growth, Meta and OpenAI commitments to AMD Instinct GPUs, and possible warrant/dilution mechanics. The most actionable parts are the directional calls on AMD/Intel and the broader AI infrastructure basket, but the transcript is fragmented and several claims require verification.
Fragmented/promo-style commentary arguing to buy AI-related semiconductor shares, with mentions of Nvidia, TSMC and AMD. The clearest concrete point is OpenAI's AMD agreement/warrant structure, giving OpenAI the option to buy up to roughly 10% of AMD tied to milestones and AMD stock-price appreciation. The source is broadly bullish on AI chip demand and momentum, but also flags margin compression, fragile TSMC inventory/supply chains, and aggressive OpenAI/AI-stock valuations.
Promotional/YouTube-style stock-picking entry arguing that quantum computing could be a much larger opportunity than well-known winners like NVIDIA and Apple, and highlighting three smaller public quantum-computing names—IonQ, Rigetti Computing, and D-Wave Quantum—as speculative candidates that could potentially 10x by 2030. The text does not provide a concrete near-term catalyst, financial data, or the stated final pick from the video description.
Supporting authors
The primary voice in the cited material is a content creator who identifies as Alex, an electrical engineer and AI researcher with prior MIT experience. Additional sources include interviews with industry executives and thematic commentary from other creators; the content is opinion-based, educational, and promotional rather than audited research.
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This thesis is promotional and speculative. If you’re considering action: verify all claims against company filings (S-1, 10-K/10-Q), confirm customer contracts and revenue recognition, assess lock-up/insider-selling timelines for new IPOs, and consult a licensed financial advisor before allocating capital.