The Bleeding Edge

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• 2026-07-22EDITORIALThe Bleeding Edge

  Don’t Bet Against the Workhorses

  Jeff Brown argues that NVIDIA and AMD are irreplaceable 'workhorses' of AI infrastructure and GPU-driven machine learning, dismissing recurring narratives about competitors like Google developing proprietary chips to dethrone them. The email anchors on Brown's 2016 NVIDIA prediction (30,000% gain) and defends the thesis against the latest 'NVIDIA obituary' regarding Google's Frozen v2 chip development.
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• 2026-07-21PROMOThe Bleeding Edge

  The Retirement You've Earned Could Arrive Years Sooner than Planned

  Larry Benedict promotes a secret ticker positioned to benefit from an imminent Trump executive action (August 15), framing it as the key to accelerating retirement timelines. The email leverages Benedict's 40-year trading track record (20 years without a losing year, $274M in client profits) and claims of member gains (~$50k annually) to create urgency around a free reveal.
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• 2026-07-20EDITORIALThe Bleeding Edge

  If You Wait, You’ll Be Late

  Ben Lilly argues that the next major cryptocurrency bull run will differ fundamentally from prior cycles due to the emergence of tokenized real-world assets (stocks, commodities, private credit) onchain, which have exploded from negligible to billions in volume. He positions early position-building over the coming weeks/months as critical, as by the time mainstream recognition arrives, sophisticated investors will have already accumulated.
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• 2026-07-20PROMOThe Bleeding Edge

  Is This the Best Kept Secret in the Stock Market Right Now?

  Larry Benedict, a legendary trader with 40+ years of experience and a 20-year streak without a losing year, is revealing what he calls 'the best-kept secret in the stock market'—a ticker that sits at the heart of a major upcoming event expected to send billions across a lucrative market by August 15. The email emphasizes urgency and exclusive access to this opportunity for readers willing to act fast.
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• 2026-07-19PROMOThe Bleeding Edge

  Wall Street Expert's Top AI Stock for Q3 and Q4

  Brownstone Research's The Bleeding Edge newsletter promotes Jason Bonder's stock-picking system, which claims to have identified multiple multi-baggers historically and has now flagged a top AI stock for Q3/Q4 2026. The email uses historical performance claims (70+ stocks gaining 500%+, 29 topping 1,000%) and backtested results to establish credibility, offering the ticker symbol free as conversion hook.
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• 2026-07-17EDITORIALThe Bleeding Edge

  AI Infrastructure Investment Continues to Increase

  Jeff Brown and Ben Lilly analyze the continued acceleration of AI infrastructure investment despite predictions of CAPEX slowdowns, highlighting major announcements from ASML, TSMC, and Meta as evidence of a sustained buildout. The email documents $265B in TSMC U.S. semiconductor manufacturing commitments, Meta's $250B Louisiana data center campus expansion, and ASML's guidance increase to €43-45B in 2026 revenue, positioning these as indicators of multi-year AI infrastructure demand.
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• 2026-07-17PROMOThe Bleeding Edge

  I Just Made One of the Biggest Calls of My Career (Watch This Now)

  Jeff Brown pitches a major October market event he calls the 'Trump 90-Day Melt Up' that will allegedly send trillions into a market corner and trigger massive equity returns. The email promises extreme leverage (10k→$500k in 90 days) and includes a bonus unrevealed asset claim. Standard high-urgency event-driven promo with vague catalysts and artificial scarcity mechanics.
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• 2026-07-16EDITORIALThe Bleeding Edge

  AI Stocks Are Getting Cheaper

  Nick Rokke analyzes the paradoxical setup where AI infrastructure stocks can rise significantly in price while becoming cheaper on valuation metrics (lower forward EV/EBITDA multiples), using Apple and Deere as historical examples. He argues that despite hyperscaler concerns about AI infrastructure returns and physical constraints, major tech companies continue committing capital, suggesting investors are underestimating the long-term opportunity in AI infrastructure enablers.
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