A message from our friends at Porter & Co (sponsor)
Famed historian Yuval Noah Harari recently issued a warning that should send a shiver down the spine of every American. He predicts the emergence of a massive new “useless class.”
These aren’t just people who are temporarily unemployed.
These are people who have become economically irrelevant.
As Luke Lango and I just exposed in our recent interview, we have reached the “Singularity.” For the first time in 250 years, intelligence has been decoupled from labor.
During America’s first 1776 moment, the steam engine replaced muscle. In this new 1776 moment, AI is replacing the human mind.
If a machine is faster, cheaper, and smarter than you at your specific job... the economic reason to hire you simply vanishes.
This is why you see the "Magnificent 7" tech giants adding trillions in value while the "real" economy feels like it’s in a death spiral.
And the divide is widening. On one side: The "Useless Class" who cling to old-world skills. On the other: The "New Aristocracy" who own the assets of the Technological Republic.
Which side will you be on?
Luke and I have identified the three specific money moves our research indicates you must make to ensure you stay on the winning side of this divide.
Good investing,
Porter Stansberry
BONUS ARTICLE
The Software-Hardware Divorce: NVDA Prints History as CRM/WDAY Blink
Bullet Summary
NVDA re-sets the ceiling: Record $68.1B Q4 revenue (+73% YoY) and $62.3B data center revenue; Q1 revenue guide $78B.
The “Rubin” narrative extends the runway: NVIDIA has positioned Vera Rubin as a major efficiency step (performance-per-watt focus), shaping multi-year capex expectations.
Software’s problem is no longer demand—it’s model risk: Anthropic’s workflow tools triggered a major software/services selloff as investors questioned “why pay for seats when an agent can do the job.”
Salesforce guidance missed: FY2027 revenue forecast $45.8–$46.2B vs Street around $46.06B; shares slid after-hours.
Workday guidance missed: FY2027 subscription revenue forecast $9.93–$9.95B vs about $10.0B expected.
Tape tells: NVDA ~$195.56; CRM ~$191.75; WDAY ~$133.15; IGV ~$80.85; SMH ~$426.16—hardware resilience vs software compression.
Macro Context: Why This Is a Regime Shift, Not an Earnings Season Story
Markets don’t usually treat a single quarter as “macro.”
NVIDIA is the exception, because its P&L is effectively a real-time receipt for AI infrastructure spend. When NVIDIA prints record numbers and guides materially above consensus, it tells you two things simultaneously:
Demand is not merely “strong.” It’s still supply-constrained.
The capex curve is still steep enough to absorb the next platform transition.
But software’s reaction is the opposite. The same AI progress that expands demand for compute is also pressuring investors to ask whether software is selling seats or selling outcomes.
That’s the “Software-Hardware Divorce”:
Hardware is being priced like the toll booth on AI adoption.
Software is being priced like a bundle of workflows that an AI agent might unbundle.
This is how you get a tape where semis can look resilient while enterprise software trades like a thesis is being re-written. (continued below…)
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Sector Breakdown: Hardware Is Cash Flow, Software Is a Question Mark
The hardware side: “compute scarcity” still dominates the economics
NVIDIA’s FY2026 Q4 report is unambiguous:
Record quarterly revenue: $68.1B (+73% YoY, +20% sequential)
Record data center revenue: $62.3B (+75% YoY)
Next-quarter revenue guide: $78B
That data center line item is the tell: over 90% of revenue is now tethered to AI-driven data center demand.
The market takeaway is simple: the demand function hasn’t shifted from “build” to “digest” yet.
The software side: the market is repricing business models, not quarters
Contrast that with how investors reacted to Anthropic’s enterprise workflow tooling. Reuters described a wave of selling driven by fears that AI automation could undercut software revenue streams—especially where revenue is tied to per-user seats.
This matters because it’s not a standard “macro budgets are tight” story. It’s a unit economics story:
If an agent can accomplish the work of several seats, the “seat count” growth assumption can break.
If seat growth breaks, multiples compress—even if revenue doesn’t collapse tomorrow.
That’s why “software” and “hardware” can diverge violently in the same AI tape.
Stock-Level Analysis: NVIDIA vs Salesforce and Workday
NVIDIA (NVDA): record print + guide = the capex curve stays steep
What the report said (and why it matters):
NVIDIA’s own results release confirms the record $68.1B quarter and $78B Q1 guide.
The WSJ characterized the print as a direct rebuttal to “AI bubble” concerns, with data center revenue doing the heavy lifting.
Why traders should care about guidance more than the beat:
When NVDA guides above consensus by multiple billions, it forces upward revisions not just for NVDA, but for the entire AI infrastructure complex (semis, networking, power/cooling, data center REITs).
Price context: NVDA is around $195.56 with market cap about $4.53T.
That market cap matters because index flows, options hedging, and “NVDA as macro proxy” behavior all amplify the second-order effects.
The “Rubin” reveal: why performance-per-watt is the new KPI
NVIDIA’s Rubin platform messaging (and related coverage) emphasizes system-level efficiency and bandwidth improvements, which is exactly where the next bottleneck sits: power and cooling.
You don’t need to trade the 2026/2027 product cycle to trade the implication:
If performance-per-watt materially improves, hyperscalers can raise effective AI capacity without linear increases in power footprint.
That reduces the probability of near-term capex exhaustion and supports a longer runway narrative.
Salesforce (CRM): guidance miss + “seat model anxiety”
Reuters reported Salesforce projected FY2027 revenue of $45.8B–$46.2B, slightly below Wall Street expectations (midpoint under the ~$46.06B estimate).
The FT framed the reaction around “SaaS-pocalypse” fears—AI startups potentially disrupting traditional software economics—and noted Salesforce’s effort to position its AI tools as additive rather than cannibalizing.
Price context: CRM is around $191.75.
The real debate isn’t one-year revenue. It’s the pricing unit:
If CRM can shift from per-user pricing to “per outcome / per agent / per workflow” pricing without losing net expansion, the multiple stabilizes.
If AI turns into a deflationary force on seat counts, the market keeps discounting long-duration software cash flows.
Workday (WDAY): subscription guide miss = the cleanest “seat risk” read-through
Reuters reported Workday guided FY2027 subscription revenue $9.93B–$9.95B, missing analyst expectations of about $10.0B.
Price context: WDAY is around $133.15.
Workday is particularly sensitive to this narrative because HR/finance workflows are exactly where enterprises want automation:
onboarding, payroll exceptions, expense categorization,
reconciliation, forecasting, procurement workflows.
Even if the company grows, the question becomes: does AI increase attach and ARPU—or reduce the need for marginal seats?
Technical Framework: How to Trade the Divorce Without Guessing the Future
You don’t need a philosophical answer (“tool vs threat”) to trade this. You need a structure:
1) Relative strength is the signal
Use the simplest spread: SMH vs IGV.
SMH (semis) around $426.16
IGV (software) around $80.85
If semis keep outperforming software, the market is telling you:
“AI = capex heavy, hardware scarce, software economics uncertain.”
If software begins to outperform on up days and holds on down days, the market is telling you:
“AI becomes additive to software monetization.”
2) VWAP acceptance is the post-event filter
For the day after major catalyst moves:
Hold VWAP after the first hour → institutional acceptance
Fail VWAP repeatedly → move is distribution / fade-prone
This matters especially for software because “AI seat fear” moves can reverse fast.
3) Options and gap behavior define the playbook
In narrative-driven moves:
Gap and hold = re-rating attempt
Gap and fade = narrative rejected
The first 60–90 minutes is often the cleanest “accept/reject” window.
Scenario Modeling: Base, Bull, Bear
Base Case: Hardware stays the clearing price; software stabilizes but remains capped
Trigger: NVIDIA continues to print/guides strong and reinforces capacity buildout, while software vendors talk AI but can’t yet prove durable monetization offsets seat fears.
Sector impact:
Semis lead on up days; software rallies are choppy.
Dispersion remains high.
Stock implications:
NVDA remains the “macro proxy” leader.
CRM/WDAY remain volatile around guidance and monetization commentary.
Bull Case: Software flips from “seat risk” to “agent monetization”
Trigger: software guidance stabilizes and vendors show a credible pricing transition (agents/workflows/outcomes) with improving margins or durable net retention.
Sector impact:
IGV outperforms as the market re-prices long-duration cash flows upward.
Semis remain strong but leadership broadens.
Bear Case: AI is deflationary to seats faster than expected
Trigger: more evidence that agents reduce seat counts or slow seat growth materially, and management teams guide cautiously.
Sector impact:
Software multiples compress further.
Hardware can remain strong initially, but second-order risk rises if enterprise software spend slows enough to reduce AI workload growth downstream.
Active Trader Strategy: Defined-Risk Frameworks
Framework 1: Trade the spread, not the sermon
If you want exposure to the narrative without overfitting:
Watch SMH/IGV direction and trade in the direction of the spread.
If SMH continues to lead → the market still prefers hardware scarcity over software duration.
Framework 2: Use “confirmation windows” for software dip-buys
Software dip-buys work best when:
the group holds VWAP,
and breadth improves beyond a single name.
If CRM or WDAY bounces but the rest of the group can’t confirm, treat it as a tactical rebound.
Framework 3: Treat NVDA as a liquidity event, not just a stock
After a record print and big guide:
NVDA becomes a hedge vehicle for the whole AI complex.
Moves can spill into QQQ and large-cap tech flows.
That means your risk isn’t only stock-specific; it’s index-structure risk.
Conclusion: The Divorce Isn’t About Who “Wins.” It’s About Who Gets Paid First.
NVIDIA just proved—again—that AI spending is still hitting the hardware layer at scale, with $68.1B Q4 revenue and a $78B Q1 guide.
At the same time, Salesforce and Workday remind the market that software’s challenge is no longer “can we ship AI features?” It’s “can we defend the pricing unit if agents reduce seats?”
That’s the software-hardware divorce:
Hardware sells scarcity and gets paid now.
Software sells workflows and must prove it can get paid in an agentic world.
For active traders, the edge is not prediction. It’s structure:
relative strength,
VWAP acceptance,
and scenario-triggered positioning with defined risk.
Editorial Disclaimer
This commentary is for informational and educational purposes only and does not constitute investment advice. All market strategies involve risk, and past performance is not indicative of future results. Readers should conduct their own analysis or consult a licensed financial professional before making investment decisions.