November 2025 — The Artificial Boom: From Belief to Discipline in the Age of AI Capital
Theme: AI, Debt, and Discipline Will Define the Next Decade
Published November 16, 2025
This newsletter is for entertainment purposes only and is not financial advice. 🙂
In This Issue
I. The Artificial Boom — Feature
II. Macro Pulse — Labor Market Flashpoint
III. The AI Feedback Loop — Automation in a Labor Hangover
IV. Privatizing Everything — The New Corruption Economy
V. Q4 Outlook — Flying Into the Storm
I. The Artificial Boom: From Belief to Discipline
Every boom begins as truth wrapped in exaggeration. The AI wave that began in 2023 was no different — its first act was innovation, its second speculation, and its third will be correction. SGGI's thesis has always been simple: technological revolutions follow economic laws, not hype cycles.
What started as a genuine productivity revolution has inflated into a trillion-dollar feedback loop: companies build models to sell chips to other companies that build models. Wall Street calls it "AI industrialization." SGGI calls it a closed circuit of hope.
By late 2026 to early 2027, semiconductor and hyperscaler capital spending will have overshot economic reality. Public filings show more than $700 billion in cumulative AI-infrastructure commitments — a figure implying trillions in downstream revenue that no credible forecast supports (Goldman Sachs Research). It is mathematically improbable for enough new AI-driven firms to generate those profits by 2030, which puts current valuations in question.
Meta's investor revolt in October 2025 wasn't noise — it was the first structural crack. SGGI now projects a full market-correction window of Q3 2026 through Q1 2027, roughly six to nine months earlier than the original June 2027 forecast.
Editor's Note — Our June 2027 forecast marks when we expect the U.S. government to formally declare a recession. The market will enter recessionary conditions well before that announcement.
Valuation Overreach
AI equities remain priced for a decade of perfection. Median forward P/E ratios hover near 45× — double the S&P average (Goldman Sachs Research). Investors are paying 2028 prices for 2025 profits. When capital is cheap, hope hides mistakes. When it tightens, math exposes them.
NVIDIA's market cap has surpassed the combined value of the five largest industrials — without producing comparable free cash flow. That gap represents belief, not earnings.
Defense Dependence
AI's biggest customers are not consumers but governments. BigBear.ai draws roughly 80% of its revenue from U.S. federal contracts. That cash flow is reliable but capped. The "AI-defense" story is steady, not exponential — an anchor, not a rocket.
Editor's Note — Defense revenue is safe until politics change.
The Middle-Class Squeeze
Automation's earliest casualties are white-collar. Entry-level analysts, coordinators, and engineers are being replaced before they even start. A single workflow automation tool now performs tasks that once justified entire departments.
Editor's Note — AI doesn't kill jobs all at once — it makes one worker do the work of five.
Discipline Amid Illusion
Since 2023, the Nasdaq's AI subset has risen 60% while profits climbed only 15%. Money is already migrating to infrastructure — the literal builders of the digital future. SGGI remains liquid, diversified, and mathematically grounded. We do not worship innovation; we price it.
Editor's Note — When profits lag prices, cash moves to the builders, not the storytellers. AI may change the world — but profits still come from patience.
II. Macro Pulse — Labor Market Flashpoint
October 2025 saw 153,000 announced layoffs — the highest October total in 22 years, bringing year-to-date cuts past 1.1 million (Bureau of Labor Statistics, JOLTS). That figure excludes quiet attrition in tech, manufacturing, and logistics, where hiring freezes have replaced formal notices.
Layoffs and discharges now average roughly 1.7 million per month. Job openings have flattened for six consecutive months, and temporary-employment payrolls — a reliable early indicator — are down nearly 8% year-over-year.
The story isn't just about the number of cuts; it's about who is being cut. Unlike past recessions, the 2025 contraction is concentrated among six-figure professionals — product managers, analysts, and mid-level engineers — roles most easily replaced by automation tools and low-code platforms. While headline unemployment remains below 4%, the underlying white-collar labor market is already in recession.
Corporations are reallocating budgets from people to platforms — especially in workflow automation, defense analytics, and enterprise data infrastructure. Each sits at the intersection of margin protection and labor replacement.
Editor's Note — The Six-Figure Recession: The middle class is being optimized out of the equation. What began as efficiency now risks hollowing the ladder itself — one rung of analysts, managers, and engineers at a time.
III. The AI Feedback Loop — Automation in a Labor Hangover
The same forces driving productivity are amplifying economic drag. Every efficiency gain removes a paycheck, and every displaced paycheck weakens demand. That's the paradox at the core of the 2025 AI cycle: technology is raising margins faster than it can recycle income.
Automation Outpaces Absorption
For the first time in modern data, white-collar automation spending has outpaced new hiring budgets. Enterprise automation contract growth ran at 27% year-over-year while professional-services payrolls declined 3%. Record software revenue is being paired with stagnant headcount — one engineer now oversees workflows that used to require five.
Editor's Note — Efficiency is deflation in disguise.
Capital Flows to Machines, Not People
Since 2023, nearly 40% of incremental corporate capex has gone to automation and AI infrastructure (Goldman Sachs Research). Consumer spending growth has slowed to 1.2% annualized. Productivity looks strong because people are producing more per hour — not because more people are producing.
Editor's Note — The Automation Trade-Off: Every task a machine masters is a paycheck erased. The headline reads "productivity," but the fine print reveals "fewer consumers to sustain it."
Policy Blind Spots
Regulators still treat AI as an innovation policy, not a labor policy. Tax credits and accelerated depreciation favor software purchases over workforce retention. Yet the aggregate demand created by AI firms is too small to replace the income they erase. The result is a growth paradox: GDP appears steady, but household formation, savings rates, and credit health continue to erode.
Editor's Note — Regulation in Reverse: Policies keep paying for the machines that take jobs, not the people who lose them.
IV. Privatizing Everything — The New Corruption Economy
What started as outsourcing has become an ownership model. In 2025, the government doesn't build — it contracts. Public funds flow through private firms that carry the flag of efficiency but collect the margin of monopoly.
The Invisible Hand, on Payroll
The Pentagon's AI modernization plan allocates over $60 billion in FY 2026 — yet nearly 70% of that will be paid to just six vendors. This isn't corruption in the cinematic sense; it's corruption by structure. When procurement cycles reward lobbying speed over delivery quality, power tilts quietly toward the middlemen.
Editor's Note — Efficiency for Sale: We used to measure corruption in envelopes. Now we measure it in contracts.
AI Contracts as Policy by Proxy
A small circle of defense integrators now execute missions once run by public agencies. Their algorithms decide what to see, what to ignore, and what to flag. That is policy, written in code. The line between contractor and commander blurs when the contract defines the command.
Editor's Note — Algorithmic Authority: When policy is coded instead of voted on, oversight turns into a user agreement.
Why It Matters for Investors
For SGGI, privatization is a signal, not a scandal. It inflates margins in the short run but erodes trust in the long run — and trust is the real collateral of markets. A system that treats governance like a subscription model creates recurring revenues today and recurring risks tomorrow. When policy backs profits instead of purpose, multiple compression is a matter of time.
Editor's Note — Follow the Margins: When the buyer is the government, profits depend on politics — and politics always change.
V. Q4 Outlook — Flying Into the Storm
The easy gains of the AI rally are behind us. The next phase of 2025 will reward patience, liquidity, and clarity of purpose. Markets are finally digesting the excesses of two years of nonstop optimism — capital is tightening, valuations are heavy, and even the best companies are feeling gravity again (Goldman Sachs Research).
SGGI's strategy through the remainder of Q4 is simple: protect capital, harvest volatility, and prepare for rotation. Defensive names and cash positions now matter as much as conviction trades. The coming months will test whether investors understand the difference between growth and bloat.
December's theme — "Robotics & Reckoning" — will dig into the industries quietly automating the physical world while investors chase the digital one. Where robotics meets defense, energy, and infrastructure. Why the next great industrial rally may come not from code, but from motion.
Editor's Note — Patience is the position.
Key Sources
Goldman Sachs Research — "Top of Mind: Is AI in a Bubble?" (Oct 2025) · Bureau of Labor Statistics JOLTS (Oct 2025) · Reuters — "Companies Pouring Billions to Advance AI Infrastructure" (Oct 2025) · U.S. Department of Defense Contracts · Bloomberg News — "AI Boom Drives U.S. GDP Growth Higher" (Oct 2025)