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Beneath the Surface

Grey Swan #1: The Age of Intelligence: Rise of the Network State

Loading ...Addison Wiggin

January 2, 2026 • 7 minute, 6 second read


ForecastsGrey Swan Forecasts

Grey Swan #1: The Age of Intelligence: Rise of the Network State

“The real problem of humanity is the following: We have paleolithic emotions, medieval institutions, and godlike technology. And it is terrifically dangerous.”

~ E.O. Wilson

January 2, 2026 — In 2025, Sangeet Paul Choudary, author of Reshuffle, has argued that artificial intelligence reshapes economies through cycles of unbundling and rebundling — breaking old value chains apart and recombining them around new centers of power.

In 2026, that idea will cease to sound academic and start describing daily life, altering the real economy, culture, education, and the influence of politicians as it becomes increasingly obvious.

Knowledge work, payments, logistics, compliance, and even governance begin to reorganize around networks rather than hierarchies. Incentives move with them.

The result is a reshuffling that reaches far beyond technology — into politics, culture, labor, and finance.

The rules that governed Western social-democratic welfare states were built for factories, unions, and slow-moving money. The rules emerging now are built for networks, parallel decision-making, and instant settlement.

That difference — between linear systems and networked ones—becomes the fault line of the decade. Some adapt. Others resist with everything they have.

🌐 Unbundling the Old Economy

For more than a century, the real economy moved like an assembly line. Work arrived in steps. Decisions traveled up and down chains of command. Money cleared slowly. Errors lingered.

Artificial intelligence pulls those systems apart. Tasks separate from jobs. Coordination separates from ownership. Decision-making migrates to software that never sleeps.

What gets rebundled looks unfamiliar. Payments and messaging ride the same rails. Cash cycles shorten from weeks to minutes. Bad receivables fail fast. Supply chains reorganize around data centers, APIs, and grid access rather than around ports alone. Value accrues to the orchestrators who set the standards, not to the biggest balance sheets.

Readers feel this shift without needing a diagram. The check clears instantly. The delivery reroutes itself. The paperwork never arrives. Convenience leads. Consequences follow.

🏛️ The Network State Touches Ground

As networks take on real economic functions, they collide with geography. Intelligence does not float. It sits on concrete, draws power, exhausts heat, and needs permits.

This is where the network state appears.

A network state is not a nation. It behaves like one in narrow, practical ways.

It negotiates land use. It builds infrastructure. It enforces rules in code. It provides services once associated with public authority — identity checks, payments, compliance, logistics—without asking voters for permission.

The clearest real-world model is unfolding in Texas, where Elon Musk’s constellation of companies has quietly assembled something close to a private jurisdiction.

Launch facilities, manufacturing plants, company housing, bespoke utilities, private security, and regulatory carve-outs now coexist within negotiated boundaries. Local governments trade tax treatment and land access for jobs and capital. Courts referee the edges. The arrangement persists because it works.

That pattern spreads. Not everywhere, not overnight, but enough to matter. Each successful deal becomes precedent. Each precedent attracts capital that prefers speed to speeches.

💸 When Money Learns to Move Like Data

Finance changes first because it must.

In a network economy, payments and information cannot run on different clocks. Settlement collapses from days to minutes. Compliance executes at the moment of transaction. Risk shifts from quarterly reviews to continuous verification.

This transition echoes themes laid out in Demise of the Dollar. Reserve currencies endure by upgrading plumbing before confidence breaks. Tokenized assets, automated clearing, and programmable rules do not replace money. They make it usable in a world where machines coordinate activity faster than institutions debate policy.

For investors, this shows up quietly. Working capital needs fall. Inventory turns rise. Cash management becomes operational rather than strategic. Firms that remove friction thrive. Those who rely on delay discover how expensive delay has become.

🧠 Work Rebundled, Not Erased

Artificial intelligence does not eliminate work. It rearranges it.

The fear that AI will cause unemployment is unfounded.

Scheduling, routing, reconciliation, forecasting, and monitoring migrate to machines. Ports, warehouses, hospitals, and utilities run with fewer surprises. Output steadies. Interruptions shrink.

Some roles vanish, you bet. That’ll happen quickly.

Other “jobs” will grow more valuable because judgment, context, and trust still matter. Education systems will continue to lag. Welfare debates will grow louder. As we explored in Empire of Debt, productivity gains become essential when public promises exceed available resources.

Resistance follows adoption. Data centers attract protest. Automation sparks sabotage. The pattern is old. The outcome tends to favor the technology that lowers cost and improves reliability. Culture adjusts after the fact.

🌍 Networks and the New Balance of Power

Network economics alter geopolitics as surely as they alter business.

Coordination beats size. Speed beats scale. Systems that route around failure outperform those that wait for permission. This reality intersects with every other Grey Swan: debt pressures, political realignments, resource competition, and social tension.

Network states operate across borders while remaining anchored to land, power, and law. Geography becomes adjustable—where to host, settle, and hire—while local constraints keep the buildout real and contested. Politics does not disappear. It moves to zoning hearings, grid approvals, and courtrooms.

📈 After the Market’s Fever Dream Breaks

The coming market frenzy will accelerate adoption and force selection.

Some companies endure because they solve real problems. Others fade once enthusiasm cools.

Prices may rise even as purchasing power disappoints. Andrew Packer’s warning about a possible “lost decade” in the stock market aligns with this environment: markets fluctuate, portfolios stagnate, and productivity improves nonetheless.

The lost decade thesis has been consistent following booms and bust throughout history. We see no reason why the AI boom in stocks would end differently.

History supports the pattern. Railroad busts left tracks. Electrification left grids. The dot-com collapse left a global network. After today’s excess, intelligence remains as infrastructure.

🦢 Why This Is Grey Swan #1

The Grey Swan is not the invention of artificial intelligence. It is the moment the public understands that incentives have changed.

Network economics reward different behaviors than factory economics. Platform states operate by different rules than welfare states. Coordination outruns legislation. Culture lags technology. Conflict follows the gap.

In Financial Reckoning Day, we described how systems adapt when fiscal choices narrow. The Age of Intelligence represents that adaptation in software and silicon.

By the end of 2026, most people will recognize that machines now think alongside humans in logistics, finance, and planning. Some jobs disappear. Others appear. Output improves faster than consensus expects. Politics argues. Markets enforce discipline.

💼 A Note for Investors

This shift favors businesses that sit near the rails of coordination—computing, power, payments, logistics, and compliance. Quiet operators that reduce delay matter more than loud storytellers.

We will map our investment thesis clearly next.

~ Addison

Next up: Seven Grey Swans, One Investment Road Map.

P.S. from Addison: We’ll explore this forecast — and how it connects to the other six — during an upcoming Grey Swan Live! session, where we translate these forecasts into practical decisions for navigating 2026.

What thoughts do you have on our forecast series? What forecasts do you think we’ve missed and will be valuable to members? Send them here.

Consider your email a warm up. Early in the new year, we’re going to be launching the second phase of our fraternity upgrade.

That includes a community forum to discuss investment trends, trade ideas, thoughts about economics, politics, the Fed… you name it. We’re testing the forum out behind the scenes now… we’ll update you as soon as we’re ready to release it into the wild.

In the meantime, trading will be incredibly useful for both growing your wealth and protecting it on the downside in 2026.

With this boom in mind, we recently acquired the rights to a patent to better identify money flows in the options market.

We’re putting the AI-powered patent we acquired to use in our Grey Swan Trading Fraternity.

Big moves in the options market often precede a big move in an underlying stock – providing better opportunities.

This patent allows us to harness knowledge about what’s moving in the options market – filtering out a lot of the typical “noise” in unusual options activity to detect actual big-money moves.

With a contentious year ahead, we expect more volatility – and plenty of opportunities to profit from the market’s ups and downs.

Our research going into more details on this new tool, and how we’ll use it to rack up more wins in 2026, just went live – click here for a replay.

If you have requests for new guests you’d like to see join us for Grey Swan Live!, or have any questions for our guests, send them here.


The Hindenburg Five

February 24, 2026 • Addison Wiggin

The stock market “rebalancing” is a polite way to put it. Energy and health care are getting a healthy boost. But tech hardware and software makers are still getting dressed down and have been asked to report to the principal’s office.

The great rotation underway has triggered a series of “Hindenburg Omens.” Five have occurred in recent weeks.

The Hindenburg Five
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The S&P 500 has traded in a 3.7% range over the past two months — less than half the 20-year median of 8.6%. One of the tightest ranges in modern history.

In trader parlance, the indexes are “flat,” a setup that often materializes before a sell-off at the top after a multi-year bull market.

Goldman Sachs told its own traders to be aware that institutional trading activity resembles a VIX reading near 35. Rather than a reading of 20, where the VIX has been trading over that same 2-month period.

The U.S. software ETF, IGV, tested its April 2025 lows last week and trades roughly 35% below its peak. The “SaaS-pocalypse” in software companies reflects the fear of Citrini’s 2028 scenario happening in real time.   That divergence now exceeds the spread seen at the peak of the Great Financial Crisis.

Under the surface, the “great rotation” we wrote about last week is threatening to widen.

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Despite its overly-educated 40-million-plus population, on a GDP per capita basis Canada is null. Collectively, the Great White North would rank as America’s second-lowest state, coming in above Mississippi, but below Alabama.

Oh. Canada
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SpaceX is the most valuable private startup in history — and if its success continues, it might become the most valuable public company in history.

After all, as Musk famously said in 2023, “I have never lost money for those who invest in me and I am not starting now.”

For investors, SpaceX has been a wild, joyful ride — and now the journey continues!

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