This page tracks every stock BWB - Business With Brian has discussed on YouTube, extracted from AI transcription of their 8 most recent videos covering 24 tickers. They are currently bullish on NVDA, GOOGL, AMZN, VRT, NVT, ONTO and others. Bearish on TSLA. Each take below includes their stated reasoning and, where given, a price target.
Midterm years are historically the weakest (S&P ~+5% avg, -10% dips in 2/3 of years), but the S&P was higher a year after the vote in all 20 midterms since 1946 (~+14% avg); flips don't break the pattern. Earnings and rates matter more than elections; expect volatility into the vote.
| Ticker | Action | Why | Target | When |
|---|---|---|---|---|
NVDA●●● | buy | The sell-off on data-center debt fears is a buying opportunity; data center ~$89B/qtr, ~23x forward earnings is cheap for that growth, and his ladder flags it severely undervalued. | — | today |
VRT●●● | buy | AI data-center power/cooling leader; EPS +60% last quarter, guidance raised across the board, ~36% profit growth expected with estimates rising while the stock fell 31% since July. PEG ~1; risks are project delays, M&A price tags, and rate sensitivity. | — | 1w ago |
NVT●●● | buy | Data-center electrical and liquid-cooling gear; sales +53%, data-center revenue >$2B this year (double YoY), ~27% growth expected. Risks: Schneider/AMD competition and $1.75B acquisition debt at ~6% interest; still pricey vs its own history. | — | 1w ago |
ONTO●●● | buy | Inspection tools for AI chip stacking/packaging; record sales +35%, $1B+ backlog, ~44% growth expected, PEG ~0.6. Risks: memory-maker exposure (Chinese chip design news), a $200M order resting on one customer, and 3x market volatility. | — | 1w ago |
AMZN●●● | buy | AWS sold out into 2026-27 with 37% growth, but ~$220B capex crushes free cash flow; when data centers come online the spring releases. PEG just over 1 = fair price for growth. | — | 2w ago |
AVGO●●● | buy | AI revenue to double to ~$115B by 2027, $179B backlog, PEG ~0.5; but customer concentration (Anthropic $42B loan, top 5 >50% of sales) means it needs proof customers keep paying. | — | 2w ago |
SNDK●●● | buy | Trades ~7x forward earnings while data-center demand (14x spend YoY, $91B signed orders) could break memory's boom-bust cycle; needs a few more quarters of firm prices to prove it. | — | 2w ago |
APLD●●● | buy | AI data-center landlord with $36B signed leases; rent should cover interest by year-end; at ~5x signed rent vs peers' 12-16x, he sees potential to double to $10-14B in 18 months. | — | 2w ago |
SMH●●● | buy | His growth-bucket pick: the world will need more chips every year for 20 years, with sales seen nearly doubling to ~$1.5T this year and ~$1.9T by 2027 on AI; NVDA is ~23% of the fund. | — | 2w ago |
VOO●●● | buy | Core anchor bucket, never below 40% at any age; beats the 84% of active funds that trail the S&P over 10 years and avoids ~1% advisor fees that can cost ~$735k over 40 years. | — | 2w ago |
SCHD●●● | buy | His defensive dividend bucket: pays cash while held and falls far less in rocky markets (down 3.2% in 2022 vs the S&P's -18.2%). | — | 2w ago |
The sell-off on data-center debt fears is a buying opportunity; data center ~$89B/qtr, ~23x forward earnings is cheap for that growth, and his ladder flags it severely undervalued.
Toll collector on both sides: Siri will run on Gemini, Cloud +82%, backlog ~$514B, AI subs $5-$200/mo; fairly valued, so most good news is already in the price.
Smartest toll play: Alexa drives ~25% higher Prime signup rates and AWS backlog ~$496B doubled in nine months; system flags it slightly undervalued but he waits for this week's earnings.
AI data-center power/cooling leader; EPS +60% last quarter, guidance raised across the board, ~36% profit growth expected with estimates rising while the stock fell 31% since July. PEG ~1; risks are project delays, M&A price tags, and rate sensitivity.
Data-center electrical and liquid-cooling gear; sales +53%, data-center revenue >$2B this year (double YoY), ~27% growth expected. Risks: Schneider/AMD competition and $1.75B acquisition debt at ~6% interest; still pricey vs its own history.
Inspection tools for AI chip stacking/packaging; record sales +35%, $1B+ backlog, ~44% growth expected, PEG ~0.6. Risks: memory-maker exposure (Chinese chip design news), a $200M order resting on one customer, and 3x market volatility.
Data-center electrical/mechanical contractor; sales +50%, EPS nearly doubled, $14B backlog +73%, tech now ~60% of sales. Premium PEG ~1.3; fixed-price contracts and any big-tech capex slowdown are the key risks.
AI training/testing data services; record quarter (+58% sales), ~27% growth expected, and independence vs Meta-backed Scale AI is the moat. But two customers are 71% of sales, plus a CEO change, $300M stock shelf, and extreme volatility.
AI data-center landlord with $36B signed leases; rent should cover interest by year-end; at ~5x signed rent vs peers' 12-16x, he sees potential to double to $10-14B in 18 months.
His growth-bucket pick: the world will need more chips every year for 20 years, with sales seen nearly doubling to ~$1.5T this year and ~$1.9T by 2027 on AI; NVDA is ~23% of the fund.
Alternative chip fund with mostly the same companies but caps single-name size (NVDA ~9% vs ~23% in SMH) for investors who want less Nvidia concentration.
Core anchor bucket, never below 40% at any age; beats the 84% of active funds that trail the S&P over 10 years and avoids ~1% advisor fees that can cost ~$735k over 40 years.
His defensive dividend bucket: pays cash while held and falls far less in rocky markets (down 3.2% in 2022 vs the S&P's -18.2%).
Robot/robo-taxi timeline is hype (only ~740 robo-taxis in Texas; Goldman's 1M by 2030 more realistic), ~200x forward earnings, whales exiting three quarters; FSD subscriptions are the bright spot.
Custom AI chips ($17B/qtr, 3x YoY) and inference demand are strong, but up to $71B of customer financing (reportedly Anthropic) creates uncertainty and insiders are selling.
Memory may have broken its boom-bust pattern (75%+ of next-year shipments committed, deals through 2030, ~5x forward earnings), but wildly swinging earnings keep it off his valuation ladder.
Edge flash revenue up ~5x YoY, but the CEO sees phone/PC sales falling ~15%, big funds are selling, and the price broke below his worst-case value, triggering a fundamentals reassess.
Pitches edge hardest, but expensive memory is cutting phone builds (phone chips -19% YoY) and it's slightly overvalued; the market already credited the obvious edge names.
Collects royalties on both brain and reflexes (data center royalties doubled), but ~100x forward earnings with ~7 cents of operating profit per dollar leaves it fairly-to-slightly overvalued.
Loves the pure on-device camera-vision edge play, but six straight quarters of slowing growth (~13%), fund exits and 14% short interest mean he wants growth to re-accelerate first.
Cited as the coiled-spring archetype - first profitable quarter (Feb 2023) ignited a ~31x move - but Brian explicitly says it is not a pick for today.
Broader tech option adding Apple and Microsoft to chipmakers, but he flags heavy overlap with his other funds - mostly the same names in a different flavor.
Tracks the NASDAQ 100 (Amazon, Tesla) like QQQ but with a lower fee; he cautions almost everything in it already sits inside VOO and the other growth funds.
Close substitute for VOO that adds smaller US companies via the total market; any S&P 500 clone does the same job.
Brian argues the mid-October chip-stock crash (~$2T lost on AI data-center debt fears) is a phenomenal buying opportunity, using Nvidia's new data-center vs edge-computing revenue split as the roadmap: the 'brain' grows into 2030 while the 'reflexes' (edge) become the bigger business by the early-to-mid 2030s. He is dollar-cost averaging into Nvidia, likes Alphabet and Amazon as two-sided 'toll collectors,' and stays cautious on Broadcom's customer financing, Micron's cyclicality question, and Tesla's robot hype.
Brian walks through 80 years of midterm history: midterm years are the weakest of the presidential cycle (S&P ~+5% average with -10% dips in two-thirds of years), yet the S&P 500 has been higher one year after election day in all 20 midterms since 1946 (~+14% average), and House/Senate flips don't break the pattern. Tech historically snaps hardest post-vote, with the Nasdaq beating the S&P in 11 of 13 post-midterm years. He cautions against acting on election headlines since earnings and interest rates move prices far more than elections.
Brian argues the AI panic is noise: spending hasn't stopped ($1.7T of signed cloud backlog) and physical constraints—power, data centers, memory—keep the build-out running, so he favors picks-and-shovels inside the data center. His system says buy Micron (a little), SanDisk, Cerebras (conditional on backlog) and buy a lot of NVIDIA, while Lumentum and Marvell get sell signals on stretched valuations and CoreWeave is downgraded for cash burn. He would abandon all the buy signals if the $1.7T backlog starts shrinking.
Brian argues the market sits near all-time highs because surging profits are offsetting the 'gravity' of ~5.3% rates, and he screens for AI-infrastructure stocks with 15%+ expected profit growth, estimates raised since July, and prices that haven't kept up. All five picks—Vertiv, nVent, Onto Innovation, Comfort Systems USA, and Innodata—fell 9%+ last week; he likes their fundamentals but plans to wait for late-Oct/early-Nov earnings, then buy in stages, keeping the riskiest positions tiny.
Brian uses Palantir's 2023 breakout as the template for four 'coiled spring' AI-infrastructure names - Amazon, Broadcom, Sandisk, and Applied Digital - where the business is out ahead of the stock (Palantir itself is explicitly not a pick today). He is bullish but disciplined: dollar-cost averaging in stages while each name awaits a specific catalyst (data centers online, customers paying, memory prices holding, rent covering interest). A sponsored segment on Greenland Mines is a paid promotion, not one of his picks.
Brian argues most Americans feel and are behind on retirement savings, but the gap is a solvable math problem, and he lays out a four-bucket ETF system: growth (SMH), S&P 500 core (VOO), dividends (SCHD), and zero bonds for him personally, with 5%+ Treasuries as the one exception for investors in their 60s. His growth-tilted mixes historically beat traditional age-based stock/bond allocations by 10+ points a year since 2012, at the cost of deeper drawdowns like 2022.
Brian argues NVIDIA's move into agent-safety hardware makes cybersecurity a buy for the next 5-10 years, then runs 10 security stocks through his signal ladder across the chip, network, and software layers. NVDA and HPE are the two where business and ladder both say buy (Salesforce a possible small starter), while Fortinet, Cisco, Palo Alto and CrowdStrike are flagged as too hot and Lattice, Zscaler and Microsoft are waits for a better price. A sponsored segment pitches Mayfair Gold.
The creator examines whether AI infrastructure spending resembles the dot-com bubble by drawing a parallel between NVIDIA's circular financing arrangements with OpenAI and Oracle and Cisco's vendor financing of telecom startups in 2000. However, he argues a critical difference exists: NVIDIA's customers are real businesses with substantial revenue, unlike Cisco's customers who had no independent business. He concludes the setup only breaks if end-user demand stops, and he is monitoring user adoption rather than the headline circular money flows.
Based on AI analysis of this creator's recent videos. Theses are paraphrases of the creator's own words, not verbatim quotes. Not financial advice.