SHOWNOTES
A wide-ranging tour this week: oil demand vs. spare capacity, U.S. gas and fiscal tracks, and the cloud era’s security shocks that boosted both AWS and CPU demand. We close on healthcare policy, Intel’s maneuvering, Nvidia’s China fee, and what Snowflake/Salesforce/ServiceNow signal for AI ROI.
[00:00] Intro
Mike sets the table for another 30-minute sprint through energy, tech, and healthcare, and points listeners to the Cash Flow Memo for exhibits and company pages.
[00:00] Disclaimer
Standard reminder: informational only; do your own work.
[00:00] World Oil Supply/Demand (Exhibit C)
Hunt notes oil “hanging in at 60” as OPEC+ countries aren’t meeting raised quotas—implying true spare capacity may be overstated. Demand growth has cooled: 2025 is up only ~0.5 mb/d vs. +1.4 mb/d in 2023, with China the swing factor (15.2 → 16.1 → 16.2 mb/d). This tempers bullishness even as quota compliance lags.
[02:08] U.S. Gas Demand/Supply (Exhibit B)
U.S. gas output averaged ~106 bcfd in 2025 and is running ~107; 2026’s 108 looks plausible. Gas-for-power use is flat YoY after years of +~1.5 bcfd growth, with fewer coal retirements and more solar capacity changing the stack. Policy/tax-credit shifts could slow new wind/solar adds, keeping an eye on balances.
[03:11] U.S. Fiscal Picture (Exhibit A)
Projected deficit improvement from ~$1.9T to ~$1.5T in FY26 reflects lower rates, modest spending trims, and targeted savings. Near-term risk is a pre-Oct 1 continuing resolution. Mike flags BLS job revisions softening the labor picture, and Hunt notes markets will parse the Fed Chair’s Jackson Hole speech for a potential 25 bp path.
[05:43] Software History Part 6: Cloud Computing
Jason traces AWS’s 2006 origin story (holiday-driven overbuild → rentable compute → managed services), plus REST and the API economy making zero-CapEx startups viable. OAuth tokens improved security UX but created token-theft risk; Spectre/Meltdown forced software mitigations that slowed CPUs ~10–20%—pushing some customers to buy more compute and organically lifting AWS spend.
[13:32] AWS Segment Breakout & Lessons (p. 1)
Hunt recalls the period when AWS was “other” before driving a re-rating as its profits eclipsed the legacy retail engine. The takeaway: durable, high-margin infra with years of head start can reset how the market values a conglomerate’s sum of parts.
[15:04] AWS Moat & Switching Costs (p. 1)
Mike and Jason discuss AWS’s growth and high switching costs; once landed, enterprise workloads tend to stay. Anecdotes include a CIA contract where AWS beat IBM on perceived security despite higher price, underscoring trust and managed security as part of the moat.
[18:00] Healthcare News & Policy (p. 15, 19, 20)
Items include the “Patients Deserve Price Tags Act” (hospital price transparency) and FDA disclosure trends (more CRL data) that could train LLMs and compress regulatory timelines. Noted too: an Eli Lilly exec voicing support for MFN dynamics to realize better EU pricing rather than U.S. cuts.
[19:47] Memo p.3: Intel—Governance, Strategy, and Scale (p. 3)
Hunt and Mike recap leadership scrutiny around China ties and a White House visit aiming to stabilize plans. Intel’s 10-Q flags that proceeding on the next leading-edge node likely requires a cost-sharing anchor customer—else more TSMC outsourcing. Scale economics dominate; policy levers (ownership stakes, tariffs) may be used to bridge the gap.
[23:03] Nvidia’s China Fee & Industrial Policy (p. 3)
Mike notes a 15% fee on Nvidia chips sold into China; Hunt/Jason debate authority, goals, and realpolitik (e.g., rare earths). The crux: keeping China dependent on Western silicon while managing leakage of high-end parts (H100/Blackwell) vs. allowing “dumbed-down” SKUs.
[26:14] Tech Updates: Tesla, Blackwell TCO, and AI in SaaS (p. 3-4)
Tesla launches a six-seat Model Y variant. Early reads suggest GB200 data-center TCO ~1.6× H100, so performance must scale accordingly to justify ROI. Salesforce appears slow to commercialize AI externally even as Benioff touts 1/3 of internal work done by AI; ServiceNow cites ~5% opex reduction with AI features gaining traction.
[29:12] What Does Snowflake Do (for AI)? (p. 4)
Mike/Jason explain Snowflake’s role unifying messy enterprise data (e.g., Salesforce) for BI and now AI—becoming the “source of truth” and a natural enclave to run/training workflows across clouds. Dirty upstream data can bottleneck AI adoption, which helps explain Salesforce’s challenges and Snowflake’s positioning.
[31:22] Wrap & Next Week
The team plans to extend software history and compare Salesforce, ServiceNow, and Snowflake’s AI monetization paths. Stay tuned for deeper dives on AI ROI across the enterprise stack.
Closing: If you found this helpful, grab the full Cash Flow Memo (with Exhibits A–C and company pages) and share the episode with a friend. Questions for the hosts? Drop them in the comments for next week’s mailbag.
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